Market Electromagnetic Field [The_lurker]Market Electromagnetic Field
An innovative analytical indicator that presents a completely new model for understanding market dynamics, inspired by the laws of electromagnetic physics — but it's not a rhetorical metaphor, rather a complete mathematical system.
Unlike traditional indicators that focus on price or momentum, this indicator portrays the market as a closed physical system, where:
⚡ Candles = Electric charges (positive at bullish close, negative at bearish)
⚡ Buyers and Sellers = Two opposing poles where pressure accumulates
⚡ Market tension = Voltage difference between the poles
⚡ Price breakout = Electrical discharge after sufficient energy accumulation
█ Core Concept
Markets don't move randomly, but follow a clear physical cycle:
Accumulation → Tension → Discharge → Stabilization → New Accumulation
When charges accumulate (through strong candles with high volume) and exceed a certain "electrical capacitance" threshold, the indicator issues a "⚡ DISCHARGE IMMINENT" alert — meaning a price explosion is imminent, giving the trader an opportunity to enter before the move begins.
█ Competitive Advantage
- Predictive forecasting (not confirmatory after the event)
- Smart multi-layer filtering reduces false signals
- Animated 3D visual representation makes reading price conditions instant and intuitive — without need for number analysis
█ Theoretical Physical Foundation
The indicator doesn't use physical terms for decoration, but applies mathematical laws with precise market adjustments:
⚡ Coulomb's Law
Physics: F = k × (q₁ × q₂) / r²
Market: Field Intensity = 4 × norm_positive × norm_negative
Peaks at equilibrium (0.5 × 0.5 × 4 = 1.0), and decreases at dominance — because conflict increases at parity.
⚡ Ohm's Law
Physics: V = I × R
Market: Voltage = norm_positive − norm_negative
Measures balance of power:
- +1 = Absolute buying dominance
- −1 = Absolute selling dominance
- 0 = Balance
⚡ Capacitance
Physics: C = Q / V
Market: Capacitance = |Voltage| × Field Intensity
Represents stored energy ready for discharge — increases with bias combined with high interaction.
⚡ Electrical Discharge
Physics: Occurs when exceeding insulation threshold
Market: Discharge Probability = min(Capacitance / Discharge Threshold, 1.0)
When ≥ 0.9: "⚡ DISCHARGE IMMINENT"
📌 Key Note:
Maximum capacitance doesn't occur at absolute dominance (where field intensity = 0), nor at perfect balance (where voltage = 0), but at moderate bias (±30–50%) with high interaction (field intensity > 25%) — i.e., in moments of "pressure before breakout".
█ Detailed Calculation Mechanism
⚡ Phase 1: Candle Polarity
polarity = (close − open) / (high − low)
- +1.0: Complete bullish candle (Bullish Marubozu)
- −1.0: Complete bearish candle (Bearish Marubozu)
- 0.0: Doji (no decision)
- Intermediate values: Represent the ratio of candle body to its range — reducing the effect of long-shadow candles
⚡ Phase 2: Volume Weight
vol_weight = volume / SMA(volume, lookback)
A candle with 150% of average volume = 1.5x stronger charge
⚡ Phase 3: Adaptive Factor
adaptive_factor = ATR(lookback) / SMA(ATR, lookback × 2)
- In volatile markets: Increases sensitivity
- In quiet markets: Reduces noise
- Always recommended to keep it enabled
⚡ Phase 4–6: Charge Accumulation and Normalization
Charges are summed over lookback candles, then ratios are normalized:
norm_positive = positive_charge / total_charge
norm_negative = negative_charge / total_charge
So that: norm_positive + norm_negative = 1 — for easier comparison
⚡ Phase 7: Field Calculations
voltage = norm_positive − norm_negative
field_intensity = 4 × norm_positive × norm_negative × field_sensitivity
capacitance = |voltage| × field_intensity
discharge_prob = min(capacitance / discharge_threshold, 1.0)
█ Settings
⚡ Electromagnetic Model
Lookback Period
- Default: 20
- Range: 5–100
- Recommendations:
- Scalping: 10–15
- Day Trading: 20
- Swing: 30–50
- Investing: 50–100
Discharge Threshold
- Default: 0.7
- Range: 0.3–0.95
- Recommendations:
- Speed + Noise: 0.5–0.6
- Balance: 0.7
- High Accuracy: 0.8–0.95
Field Sensitivity
- Default: 1.0
- Range: 0.5–2.0
- Recommendations:
- Amplify Conflict: 1.2–1.5
- Natural: 1.0
- Calm: 0.5–0.8
Adaptive Mode
- Default: Enabled
- Always keep it enabled
🔬 Dynamic Filters
All enabled filters must pass for discharge signal to appear.
Volume Filter
- Condition: volume > SMA(volume) × vol_multiplier
- Function: Excludes "weak" candles not supported by volume
- Recommendation: Enabled (especially for stocks and forex)
Volatility Filter
- Condition: STDEV > SMA(STDEV) × 0.5
- Function: Ignores sideways stagnation periods
- Recommendation: Always enabled
Trend Filter
- Condition: Voltage alignment with fast/slow EMA
- Function: Reduces counter-trend signals
- Recommendation: Enabled for swing/investing only
Volume Threshold
- Default: 1.2
- Recommendations:
- 1.0–1.2: High sensitivity
- 1.5–2.0: Exclusive to high volume
🎨 Visual Settings
Settings improve visual reading experience — don't affect calculations.
Scale Factor
- Default: 600
- Higher = Larger scene (200–1200)
Horizontal Shift
- Default: 180
- Horizontal shift to the left — to focus on last candle
Pole Size
- Default: 60
- Base sphere size (30–120)
Field Lines
- Default: 8
- Number of field lines (4–16) — 8 is ideal balance
Colors
- Green/Red/Blue/Orange
- Fully customizable
█ Visual Representation: A Visual Language for Diagnosing Price Conditions
✨ Design Philosophy
The representation isn't "decoration", but a complete cognitive model — each element carries information, and element interaction tells a complete story.
The brain perceives changes in size, color, and movement 60,000 times faster than reading numbers — so you can "sense" the change before your eye finishes scanning.
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🟢 Positive Pole (Green Sphere — Left)
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What does it represent?
Active buying pressure accumulation — not just an uptrend, but real demand force supported by volume and volatility.
● Dynamic Size
Size = pole_size × (0.7 + norm_positive × 0.6)
- 70% of base size = No significant charge
- 130% of base size = Complete dominance
- The larger the sphere: Greater buyer dominance, higher probability of bullish continuation
Size Interpretation:
- Large sphere (>55%): Strong buying pressure — Buyers dominate
- Medium sphere (45–55%): Relative balance with buying bias
- Small sphere (<45%): Weak buying pressure — Sellers dominate
● Lighting and Transparency
- 20% transparency (when Bias = +1): Pole currently active — Bullish direction
- 50% transparency (when Bias ≠ +1): Pole inactive — Not the prevailing direction
Lighting = Current activity, while Size = Historical accumulation
● Pulsing Inner Glow
A smaller sphere pulses automatically when Bias = +1:
inner_pulse = 0.4 + 0.1 × sin(anim_time × 3)
Symbolizes continuity of buy order flow — not static dominance.
● Orbital Rings
Two rings rotating at different speeds and directions:
- Inner: 1.3× sphere size — Direct influence range
- Outer: 1.6× sphere size — Extended influence range
Represent "influence zone" of buyers:
- Continuous rotation = Stability and momentum
- Slowdown = Momentum exhaustion
● Percentage
Displayed below sphere: norm_positive × 100
- >55% = Clear dominance
- 45–55% = Balance
- <45% = Weakness
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🔴 Negative Pole (Red Sphere — Right)
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What does it represent?
Active selling pressure accumulation — whether cumulative selling (smart distribution) or panic selling (position liquidation).
● Visual Dynamics
Same size, lighting, and inner glow mechanism — but in red.
Key Difference:
- Rotation is reversed (counter-clockwise)
- Visually distinguishes "buy flow" from "sell flow"
- Allows reading direction at a glance — even for colorblind users
📌 Pole Reading Summary:
🟢 Large + Bright green sphere = Active buying force
🔴 Large + Bright red sphere = Active selling force
🟢🔴 Both large but dim = Energy accumulation (before discharge)
⚪ Both small = Stagnation / Low liquidity
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🔵 Field Lines (Curved Blue Lines)
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What do they represent?
Energy flow paths between poles — the arena where price battle is fought.
● Number of Lines
4–16 lines (Default: 8)
More lines: Greater sense of "interaction density"
● Arc Height
arc_h = (i − half_lines) × 15 × field_intensity × 2
- High field intensity = Highly elevated lines (like waves)
- Low intensity = Nearly straight lines
● Oscillating Transparency
transp = 30 + phase × 40
where phase = sin(anim_time × 2 + i × 0.5) × 0.5 + 0.5
Creates illusion of "flowing current" — not static lines
● Asymmetric Curvature
- Upper lines curve upward
- Lower lines curve downward
- Adds 3D depth and shows "pressure" direction
⚡ Pro Tip:
When you see lines suddenly "contract" (straighten), while both spheres are large — this is an early indicator of impending discharge, because the interaction is losing its flexibility.
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⚪ Moving Particles
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What do they represent?
Real liquidity flow in the market — who's driving price right now.
● Number and Movement
- 6 particles covering most field lines
- Move sinusoidally along the arc:
t = (sin(phase_val) + 1) / 2
- High speed = High trading activity
- Clustering at a pole = That side's control
● Color Gradient
From green (at positive pole) to red (at negative)
Shows "energy transformation":
- Green particle = Pure buying energy
- Orange particle = Conflict zone
- Red particle = Pure selling energy
📌 How to Read Them?
- Moving left to right (🟢 → 🔴): Buy flow → Bullish push
- Moving right to left (🔴 → 🟢): Sell flow → Bearish push
- Clustered in middle: Balanced conflict — Wait for breakout
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🟠 Discharge Zone (Orange Glow — Center)
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What does it represent?
Point of stored energy accumulation not yet discharged — heart of the early warning system.
● Glow Stages
Initial Warning (discharge_prob > 0.3):
- Dim orange circle (70% transparency)
- Meaning: Watch, don't enter yet
High Tension (discharge_prob ≥ 0.7):
- Stronger glow + "⚠️ HIGH TENSION" text
- Meaning: Prepare — Set pending orders
Imminent Discharge (discharge_prob ≥ 0.9):
- Bright glow + "⚡ DISCHARGE IMMINENT" text
- Meaning: Enter with direction (after candle confirmation)
● Layered Glow Effect (Glow Layering)
3 concentric circles with increasing transparency:
- Inner: 20%
- Middle: 35%
- Outer: 50%
Result: Realistic aura resembling actual electrical discharge.
📌 Why in the Center?
Because discharge always starts from the relative balance zone — where opposing pressures meet.
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📊 Voltage Meter (Bottom of Scene)
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What does it represent?
Simplified numeric indicator of voltage difference — for those who prefer numerical reading.
● Components
- Gray bar: Full range (−100% to +100%)
- Green fill: Positive voltage (extends right)
- Red fill: Negative voltage (extends left)
- Lightning symbol (⚡): Above center — reminder it's an "electrical gauge"
- Text value: Like "+23.4%" — in direction color
● Voltage Reading Interpretation
+50% to +100%:
Overwhelming buying dominance — Beware of saturation, may precede correction
+20% to +50%:
Strong buying dominance — Suitable for buying with trend
+5% to +20%:
Slight bullish bias — Wait for additional confirmation
−5% to +5%:
Balance/Neutral — Avoid entry or wait for breakout
−5% to −20%:
Slight bearish bias — Wait for confirmation
−20% to −50%:
Strong selling dominance — Suitable for selling with trend
−50% to −100%:
Overwhelming selling dominance — Beware of saturation, may precede bounce
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📈 Field Strength Indicator (Top of Scene)
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What it displays: "Field: XX.X%"
Meaning: Strength of conflict between buyers and sellers.
● Reading Interpretation
0–5%:
- Appearance: Nearly straight lines, transparent
- Meaning: Complete control by one side
- Strategy: Trend Following
5–15%:
- Appearance: Slight curvature
- Meaning: Clear direction with light resistance
- Strategy: Enter with trend
15–25%:
- Appearance: Medium curvature, clear lines
- Meaning: Balanced conflict
- Strategy: Range trading or waiting
25–35%:
- Appearance: High curvature, clear density
- Meaning: Strong conflict, high uncertainty
- Strategy: Volatility trading or prepare for discharge
35%+:
- Appearance: Very high lines, strong glow
- Meaning: Peak tension
- Strategy: Best discharge opportunities
📌 Golden Relationship:
Highest discharge probability when:
Field Strength (25–35%) + Voltage (±30–50%) + High Volume
← This is the "red zone" to monitor carefully.
█ Comprehensive Visual Reading
To read market condition at a glance, follow this sequence:
Step 1: Which sphere is larger?
- 🟢 Green larger ← Dominant buying pressure
- 🔴 Red larger ← Dominant selling pressure
- Equal ← Balance/Conflict
Step 2: Which sphere is bright?
- 🟢 Green bright ← Current bullish direction
- 🔴 Red bright ← Current bearish direction
- Both dim ← Neutral/No clear direction
Step 3: Is there orange glow?
- None ← Discharge probability <30%
- 🟠 Dim glow ← Discharge probability 30–70%
- 🟠 Strong glow with text ← Discharge probability >70%
Step 4: What's the voltage meter reading?
- Strong positive ← Confirms buying dominance
- Strong negative ← Confirms selling dominance
- Near zero ← No clear direction
█ Practical Visual Reading Examples
Example 1: Ideal Buy Opportunity ⚡🟢
- Green sphere: Large and bright with inner pulse
- Red sphere: Small and dim
- Orange glow: Strong with "DISCHARGE IMMINENT" text
- Voltage meter: +45%
- Field strength: 28%
Interpretation: Strong accumulated buying pressure, bullish explosion imminent
Example 2: Ideal Sell Opportunity ⚡🔴
- Green sphere: Small and dim
- Red sphere: Large and bright with inner pulse
- Orange glow: Strong with "DISCHARGE IMMINENT" text
- Voltage meter: −52%
- Field strength: 31%
Interpretation: Strong accumulated selling pressure, bearish explosion imminent
Example 3: Balance/Wait ⚖️
- Both spheres: Approximately equal in size
- Lighting: Both dim
- Orange glow: Strong
- Voltage meter: +3%
- Field strength: 24%
Interpretation: Strong conflict without clear winner, wait for breakout
Example 4: Clear Uptrend (No Discharge) 📈
- Green sphere: Large and bright
- Red sphere: Very small and dim
- Orange glow: None
- Voltage meter: +68%
- Field strength: 8%
Interpretation: Clear buying control, limited conflict, suitable for following bullish trend
Example 5: Potential Buying Saturation ⚠️
- Green sphere: Very large and bright
- Red sphere: Very small
- Orange glow: Dim
- Voltage meter: +88%
- Field strength: 4%
Interpretation: Absolute buying dominance, may precede bearish correction
█ Trading Signals
⚡ DISCHARGE IMMINENT
Appearance Conditions:
- discharge_prob ≥ 0.9
- All enabled filters passed
- Confirmed (after candle close)
Interpretation:
- Very large energy accumulation
- Pressure reached critical level
- Price explosion expected within 1–3 candles
How to Trade:
1. Determine voltage direction:
• Positive = Expect rise
• Negative = Expect fall
2. Wait for confirmation candle:
• For rise: Bullish candle closing above its open
• For fall: Bearish candle closing below its open
3. Entry: With next candle's open
4. Stop Loss: Behind last local low/high
5. Target: Risk/Reward ratio of at least 1:2
✅ Pro Tips:
- Best results when combined with support/resistance levels
- Avoid entry if voltage is near zero (±5%)
- Increase position size when field strength > 30%
⚠️ HIGH TENSION
Appearance Conditions:
- 0.7 ≤ discharge_prob < 0.9
Interpretation:
- Market in energy accumulation state
- Likely strong move soon, but not immediate
- Accumulation may continue or discharge may occur
How to Benefit:
- Prepare: Set pending orders at potential breakouts
- Monitor: Watch following candles for momentum candle
- Select: Don't enter every signal — choose those aligned with overall trend
█ Trading Strategies
📈 Strategy 1: Discharge Trading (Basic)
Principle: Enter at "DISCHARGE IMMINENT" in voltage direction
Steps:
1. Wait for "⚡ DISCHARGE IMMINENT"
2. Check voltage direction (+/−)
3. Wait for confirmation candle in voltage direction
4. Enter with next candle's open
5. Stop loss behind last low/high
6. Target: 1:2 or 1:3 ratio
Very high success rate when following confirmation conditions.
📈 Strategy 2: Dominance Following
Principle: Trade with dominant pole (largest and brightest sphere)
Steps:
1. Identify dominant pole (largest and brightest)
2. Trade in its direction
3. Beware when sizes converge (conflict)
Suitable for higher timeframes (H1+).
📈 Strategy 3: Reversal Hunting
Principle: Counter-trend entry under certain conditions
Conditions:
- High field strength (>30%)
- Extreme voltage (>±40%)
- Divergence with price (e.g., new price high with declining voltage)
⚠️ High risk — Use small position size.
📈 Strategy 4: Integration with Technical Analysis
Strong Confirmation Examples:
- Resistance breakout + Bullish discharge = Excellent buy signal
- Support break + Bearish discharge = Excellent sell signal
- Head & Shoulders pattern + Increasing negative voltage = Pattern confirmation
- RSI divergence + High field strength = Potential reversal
█ Ready Alerts
Bullish Discharge
- Condition: discharge_prob ≥ 0.9 + Positive voltage + All filters
- Message: "⚡ Bullish discharge"
- Use: High probability buy opportunity
Bearish Discharge
- Condition: discharge_prob ≥ 0.9 + Negative voltage + All filters
- Message: "⚡ Bearish discharge"
- Use: High probability sell opportunity
✅ Tip: Use these alerts with "Once Per Bar" setting to avoid repetition.
█ Data Window Outputs
Bias
- Values: −1 / 0 / +1
- Interpretation: −1 = Bearish, 0 = Neutral, +1 = Bullish
- Use: For integration in automated strategies
Discharge %
- Range: 0–100%
- Interpretation: Discharge probability
- Use: Monitor tension progression (e.g., from 40% to 85% in 5 candles)
Field Strength
- Range: 0–100%
- Interpretation: Conflict intensity
- Use: Identify "opportunity window" (25–35% ideal for discharge)
Voltage
- Range: −100% to +100%
- Interpretation: Balance of power
- Use: Monitor extremes (potential buying/selling saturation)
█ Optimal Settings by Trading Style
Scalping
- Timeframe: 1M–5M
- Lookback: 10–15
- Threshold: 0.5–0.6
- Sensitivity: 1.2–1.5
- Filters: Volume + Volatility
Day Trading
- Timeframe: 15M–1H
- Lookback: 20
- Threshold: 0.7
- Sensitivity: 1.0
- Filters: Volume + Volatility
Swing Trading
- Timeframe: 4H–D1
- Lookback: 30–50
- Threshold: 0.8
- Sensitivity: 0.8
- Filters: Volatility + Trend
Position Trading
- Timeframe: D1–W1
- Lookback: 50–100
- Threshold: 0.85–0.95
- Sensitivity: 0.5–0.8
- Filters: All filters
█ Tips for Optimal Use
1. Start with Default Settings
Try it first as is, then adjust to your style.
2. Watch for Element Alignment
Best signals when:
- Clear voltage (>│20%│)
- Moderate–high field strength (15–35%)
- High discharge probability (>70%)
3. Use Multiple Timeframes
- Higher timeframe: Determine overall trend
- Lower timeframe: Time entry
- Ensure signal alignment between frames
4. Integrate with Other Tools
- Support/Resistance levels
- Trend lines
- Candle patterns
- Volume indicators
5. Respect Risk Management
- Don't risk more than 1–2% of account
- Always use stop loss
- Don't enter every signal — choose the best
█ Important Warnings
⚠️ Not for Standalone Use
The indicator is an analytical support tool — don't use it isolated from technical or fundamental analysis.
⚠️ Doesn't Predict the Future
Calculations are based on historical data — Results are not guaranteed.
⚠️ Markets Differ
You may need to adjust settings for each market:
- Forex: Focus on Volume Filter
- Stocks: Add Trend Filter
- Crypto: Lower Threshold slightly (more volatile)
⚠️ News and Events
The indicator doesn't account for sudden news — Avoid trading before/during major news.
█ Unique Features
✅ First Application of Electromagnetism to Markets
Innovative mathematical model — Not just an ordinary indicator
✅ Predictive Detection of Price Explosions
Alerts before the move happens — Not after
✅ Multi-Layer Filtering
4 smart filters reduce false signals to minimum
✅ Smart Volatility Adaptation
Automatically adjusts sensitivity based on market conditions
✅ Animated 3D Visual Representation
Makes reading instant — Even for beginners
✅ High Flexibility
Works on all assets: Stocks, Forex, Crypto, Commodities
✅ Built-in Ready Alerts
No complex setup needed — Ready for immediate use
█ Conclusion: When Art Meets Science
Market Electromagnetic Field is not just an indicator — but a new analytical philosophy.
It's the bridge between:
- Physics precision in describing dynamic systems
- Market intelligence in generating trading opportunities
- Visual psychology in facilitating instant reading
The result: A tool that isn't read — but watched, felt, and sensed.
When you see the green sphere expanding, the glow intensifying, and particles rushing rightward — you're not seeing numbers, you're seeing market energy breathing.
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
المجال الكهرومغناطيسي للسوق - Market Electromagnetic Field
مؤشر تحليلي مبتكر يقدّم نموذجًا جديدًا كليًّا لفهم ديناميكيات السوق، مستوحى من قوانين الفيزياء الكهرومغناطيسية — لكنه ليس استعارة بلاغية، بل نظام رياضي متكامل.
على عكس المؤشرات التقليدية التي تُركّز على السعر أو الزخم، يُصوّر هذا المؤشر السوق كـنظام فيزيائي مغلق، حيث:
⚡ الشموع = شحنات كهربائية (موجبة عند الإغلاق الصاعد، سالبة عند الهابط)
⚡ المشتريون والبائعون = قطبان متعاكسان يتراكم فيهما الضغط
⚡ التوتر السوقي = فرق جهد بين القطبين
⚡ الاختراق السعري = تفريغ كهربائي بعد تراكم طاقة كافية
█ الفكرة الجوهرية
الأسواق لا تتحرك عشوائيًّا، بل تخضع لدورة فيزيائية واضحة:
تراكم → توتر → تفريغ → استقرار → تراكم جديد
عندما تتراكم الشحنات (من خلال شموع قوية بحجم مرتفع) وتتجاوز "السعة الكهربائية" عتبة معيّنة، يُصدر المؤشر تنبيه "⚡ DISCHARGE IMMINENT" — أي أن انفجارًا سعريًّا وشيكًا، مما يمنح المتداول فرصة الدخول قبل بدء الحركة.
█ الميزة التنافسية
- تنبؤ استباقي (ليس تأكيديًّا بعد الحدث)
- فلترة ذكية متعددة الطبقات تقلل الإشارات الكاذبة
- تمثيل بصري ثلاثي الأبعاد متحرك يجعل قراءة الحالة السعرية فورية وبديهية — دون حاجة لتحليل أرقام
█ الأساس النظري الفيزيائي
المؤشر لا يستخدم مصطلحات فيزيائية للزينة، بل يُطبّق القوانين الرياضية مع تعديلات سوقيّة دقيقة:
⚡ قانون كولوم (Coulomb's Law)
الفيزياء: F = k × (q₁ × q₂) / r²
السوق: شدة الحقل = 4 × norm_positive × norm_negative
تصل لذروتها عند التوازن (0.5 × 0.5 × 4 = 1.0)، وتنخفض عند الهيمنة — لأن الصراع يزداد عند التكافؤ.
⚡ قانون أوم (Ohm's Law)
الفيزياء: V = I × R
السوق: الجهد = norm_positive − norm_negative
يقيس ميزان القوى:
- +1 = هيمنة شرائية مطلقة
- −1 = هيمنة بيعية مطلقة
- 0 = توازن
⚡ السعة الكهربائية (Capacitance)
الفيزياء: C = Q / V
السوق: السعة = |الجهد| × شدة الحقل
تمثّل الطاقة المخزّنة القابلة للتفريغ — تزداد عند وجود تحيّز مع تفاعل عالي.
⚡ التفريغ الكهربائي (Discharge)
الفيزياء: يحدث عند تجاوز عتبة العزل
السوق: احتمال التفريغ = min(السعة / عتبة التفريغ, 1.0)
عندما ≥ 0.9: "⚡ DISCHARGE IMMINENT"
📌 ملاحظة جوهرية:
أقصى سعة لا تحدث عند الهيمنة المطلقة (حيث شدة الحقل = 0)، ولا عند التوازن التام (حيث الجهد = 0)، بل عند انحياز متوسط (±30–50%) مع تفاعل عالي (شدة حقل > 25%) — أي في لحظات "الضغط قبل الاختراق".
█ آلية الحساب التفصيلية
⚡ المرحلة 1: قطبية الشمعة
polarity = (close − open) / (high − low)
- +1.0: شمعة صاعدة كاملة (ماروبوزو صاعد)
- −1.0: شمعة هابطة كاملة (ماروبوزو هابط)
- 0.0: دوجي (لا قرار)
- القيم الوسيطة: تمثّل نسبة جسم الشمعة إلى مداها — مما يقلّل تأثير الشموع ذات الظلال الطويلة
⚡ المرحلة 2: وزن الحجم
vol_weight = volume / SMA(volume, lookback)
شمعة بحجم 150% من المتوسط = شحنة أقوى بـ 1.5 مرة
⚡ المرحلة 3: معامل التكيف (Adaptive Factor)
adaptive_factor = ATR(lookback) / SMA(ATR, lookback × 2)
- في الأسواق المتقلبة: يزيد الحساسية
- في الأسواق الهادئة: يقلل الضوضاء
- يوصى دائمًا بتركه مفعّلًا
⚡ المرحلة 4–6: تراكم وتوحيد الشحنات
تُجمّع الشحنات على lookback شمعة، ثم تُوحّد النسب:
norm_positive = positive_charge / total_charge
norm_negative = negative_charge / total_charge
بحيث: norm_positive + norm_negative = 1 — لتسهيل المقارنة
⚡ المرحلة 7: حسابات الحقل
voltage = norm_positive − norm_negative
field_intensity = 4 × norm_positive × norm_negative × field_sensitivity
capacitance = |voltage| × field_intensity
discharge_prob = min(capacitance / discharge_threshold, 1.0)
█ الإعدادات
⚡ Electromagnetic Model
Lookback Period
- الافتراضي: 20
- النطاق: 5–100
- التوصيات:
- المضاربة: 10–15
- اليومي: 20
- السوينغ: 30–50
- الاستثمار: 50–100
Discharge Threshold
- الافتراضي: 0.7
- النطاق: 0.3–0.95
- التوصيات:
- سرعة + ضوضاء: 0.5–0.6
- توازن: 0.7
- دقة عالية: 0.8–0.95
Field Sensitivity
- الافتراضي: 1.0
- النطاق: 0.5–2.0
- التوصيات:
- تضخيم الصراع: 1.2–1.5
- طبيعي: 1.0
- تهدئة: 0.5–0.8
Adaptive Mode
- الافتراضي: مفعّل
- أبقِه دائمًا مفعّلًا
🔬 Dynamic Filters
يجب اجتياز جميع الفلاتر المفعّلة لظهور إشارة التفريغ.
Volume Filter
- الشرط: volume > SMA(volume) × vol_multiplier
- الوظيفة: يستبعد الشموع "الضعيفة" غير المدعومة بحجم
- التوصية: مفعّل (خاصة للأسهم والعملات)
Volatility Filter
- الشرط: STDEV > SMA(STDEV) × 0.5
- الوظيفة: يتجاهل فترات الركود الجانبي
- التوصية: مفعّل دائمًا
Trend Filter
- الشرط: توافق الجهد مع EMA سريع/بطيء
- الوظيفة: يقلل الإشارات المعاكسة للاتجاه العام
- التوصية: مفعّل للسوينغ/الاستثمار فقط
Volume Threshold
- الافتراضي: 1.2
- التوصيات:
- 1.0–1.2: حساسية عالية
- 1.5–2.0: حصرية للحجم العالي
🎨 Visual Settings
الإعدادات تُحسّن تجربة القراءة البصرية — لا تؤثر على الحسابات.
Scale Factor
- الافتراضي: 600
- كلما زاد: المشهد أكبر (200–1200)
Horizontal Shift
- الافتراضي: 180
- إزاحة أفقيّة لليسار — ليركّز على آخر شمعة
Pole Size
- الافتراضي: 60
- حجم الكرات الأساسية (30–120)
Field Lines
- الافتراضي: 8
- عدد خطوط الحقل (4–16) — 8 توازن مثالي
الألوان
- أخضر/أحمر/أزرق/برتقالي
- قابلة للتخصيص بالكامل
█ التمثيل البصري: لغة بصرية لتشخيص الحالة السعرية
✨ الفلسفة التصميمية
التمثيل ليس "زينة"، بل نموذج معرفي متكامل — كل عنصر يحمل معلومة، وتفاعل العناصر يروي قصة كاملة.
العقل يدرك التغيير في الحجم، اللون، والحركة أسرع بـ 60,000 مرة من قراءة الأرقام — لذا يمكنك "الإحساس" بالتغير قبل أن تُنهي العين المسح.
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🟢 القطب الموجب (الكرة الخضراء — يسار)
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ماذا يمثّل؟
تراكم ضغط الشراء النشط — ليس مجرد اتجاه صاعد، بل قوة طلب حقيقية مدعومة بحجم وتقلّب.
● الحجم المتغير
حجم = pole_size × (0.7 + norm_positive × 0.6)
- 70% من الحجم الأساسي = لا شحنة تُذكر
- 130% من الحجم الأساسي = هيمنة تامة
- كلما كبرت الكرة: زاد تفوّق المشترين، وارتفع احتمال الاستمرار الصعودي
تفسير الحجم:
- كرة كبيرة (>55%): ضغط شراء قوي — المشترون يسيطرون
- كرة متوسطة (45–55%): توازن نسبي مع ميل للشراء
- كرة صغيرة (<45%): ضعف ضغط الشراء — البائعون يسيطرون
● الإضاءة والشفافية
- شفافية 20% (عند Bias = +1): القطب نشط حالياً — الاتجاه صعودي
- شفافية 50% (عند Bias ≠ +1): القطب غير نشط — ليس الاتجاه السائد
الإضاءة = النشاط الحالي، بينما الحجم = التراكم التاريخي
● التوهج الداخلي النابض
كرة أصغر تنبض تلقائيًّا عند Bias = +1:
inner_pulse = 0.4 + 0.1 × sin(anim_time × 3)
يرمز إلى استمرارية تدفق أوامر الشراء — وليس هيمنة جامدة.
● الحلقات المدارية
حلقتان تدوران بسرعات واتجاهات مختلفة:
- الداخلية: 1.3× حجم الكرة — نطاق التأثير المباشر
- الخارجية: 1.6× حجم الكرة — نطاق التأثير الممتد
تمثّل "نطاق تأثير" المشترين:
- الدوران المستمر = استقرار وزخم
- التباطؤ = نفاد الزخم
● النسبة المئوية
تظهر تحت الكرة: norm_positive × 100
- >55% = هيمنة واضحة
- 45–55% = توازن
- <45% = ضعف
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🔴 القطب السالب (الكرة الحمراء — يمين)
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ماذا يمثّل؟
تراكم ضغط البيع النشط — سواء كان بيعًا تراكميًّا (التوزيع الذكي) أو بيعًا هستيريًّا (تصفية مراكز).
● الديناميكيات البصرية
نفس آلية الحجم والإضاءة والتوهج الداخلي — لكن باللون الأحمر.
الفرق الجوهري:
- الدوران معكوس (عكس اتجاه عقارب الساعة)
- يُميّز بصريًّا بين "تدفق الشراء" و"تدفق البيع"
- يسمح بقراءة الاتجاه بنظرة واحدة — حتى للمصابين بعَمَى الألوان
📌 ملخص قراءة القطبين:
🟢 كرة خضراء كبيرة + مضيئة = قوة شرائية نشطة
🔴 كرة حمراء كبيرة + مضيئة = قوة بيعية نشطة
🟢🔴 كرتان كبيرتان لكن خافتتان = تراكم طاقة (قبل التفريغ)
⚪ كرتان صغيرتان = ركود / سيولة منخفضة
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🔵 خطوط الحقل (الخطوط الزرقاء المنحنية)
═════════════════════════════════════════════════════════════
ماذا تمثّل؟
مسارات تدفق الطاقة بين القطبين — أي الساحة التي تُدار فيها المعركة السعرية.
● عدد الخطوط
4–16 خط (الافتراضي: 8)
كلما زاد العدد: زاد إحساس "كثافة التفاعل"
● ارتفاع القوس
arc_h = (i − half_lines) × 15 × field_intensity × 2
- شدة حقل عالية = خطوط شديدة الارتفاع (مثل موجة)
- شدة منخفضة = خطوط شبه مستقيمة
● الشفافية المتذبذبة
transp = 30 + phase × 40
حيث phase = sin(anim_time × 2 + i × 0.5) × 0.5 + 0.5
تخلق وهم "تيّار متدفّق" — وليس خطوطًا ثابتة
● الانحناء غير المتناظر
- الخطوط العلوية تنحني لأعلى
- الخطوط السفلية تنحني لأسفل
- يُضفي عمقًا ثلاثي الأبعاد ويُظهر اتجاه "الضغط"
⚡ تلميح احترافي:
عندما ترى الخطوط "تتقلّص" فجأة (تستقيم)، بينما الكرتان كبيرتان — فهذا مؤشر مبكر على قرب التفريغ، لأن التفاعل بدأ يفقد مرونته.
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⚪ الجزيئات المتحركة
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ماذا تمثّل؟
تدفق السيولة الحقيقية في السوق — أي من يدفع السعر الآن.
● العدد والحركة
- 6 جزيئات تغطي معظم خطوط الحقل
- تتحرك جيبيًّا على طول القوس:
t = (sin(phase_val) + 1) / 2
- سرعة عالية = نشاط تداول عالي
- تجمّع عند قطب = سيطرة هذا الطرف
● تدرج اللون
من أخضر (عند القطب الموجب) إلى أحمر (عند السالب)
يُظهر "تحوّل الطاقة":
- جزيء أخضر = طاقة شرائية نقية
- جزيء برتقالي = منطقة صراع
- جزيء أحمر = طاقة بيعية نقية
📌 كيف تقرأها؟
- تحركت من اليسار لليمين (🟢 → 🔴): تدفق شرائي → دفع صعودي
- تحركت من اليمين لليسار (🔴 → 🟢): تدفق بيعي → دفع هبوطي
- تجمّعت في المنتصف: صراع متكافئ — انتظر اختراقًا
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🟠 منطقة التفريغ (التوهج البرتقالي — المركز)
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ماذا تمثّل؟
نقطة تراكم الطاقة المخزّنة التي لم تُفرّغ بعد — قلب نظام الإنذار المبكر.
● مراحل التوهج
إنذار أولي (discharge_prob > 0.3):
- دائرة برتقالية خافتة (شفافية 70%)
- المعنى: راقب، لا تدخل بعد
توتر عالي (discharge_prob ≥ 0.7):
- توهج أقوى + نص "⚠️ HIGH TENSION"
- المعنى: استعد — ضع أوامر معلقة
تفريغ وشيك (discharge_prob ≥ 0.9):
- توهج ساطع + نص "⚡ DISCHARGE IMMINENT"
- المعنى: ادخل مع الاتجاه (بعد تأكيد شمعة)
● تأثير التوهج الطبقي (Glow Layering)
3 دوائر متحدة المركز بشفافية متزايدة:
- داخلي: 20%
- وسط: 35%
- خارجي: 50%
النتيجة: هالة (Aura) واقعية تشبه التفريغ الكهربائي الحقيقي.
📌 لماذا في المركز؟
لأن التفريغ يبدأ دائمًا من منطقة التوازن النسبي — حيث يلتقي الضغطان المتعاكسان.
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📊 مقياس الجهد (أسفل المشهد)
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ماذا يمثّل؟
مؤشر رقمي مبسّط لفرق الجهد — لمن يفضّل القراءة العددية.
● المكونات
- الشريط الرمادي: النطاق الكامل (−100% إلى +100%)
- التعبئة الخضراء: جهد موجب (تمتد لليمين)
- التعبئة الحمراء: جهد سالب (تمتد لليسار)
- رمز البرق (⚡): فوق المركز — تذكير بأنه "مقياس كهربائي"
- القيمة النصية: مثل "+23.4%" — بلون الاتجاه
● تفسير قراءات الجهد
+50% إلى +100%:
هيمنة شرائية ساحقة — احذر التشبع، قد يسبق تصحيح
+20% إلى +50%:
هيمنة شرائية قوية — مناسب للشراء مع الاتجاه
+5% إلى +20%:
ميل صعودي خفيف — انتظر تأكيدًا إضافيًّا
−5% إلى +5%:
توازن/حياد — تجنّب الدخول أو انتظر اختراقًا
−5% إلى −20%:
ميل هبوطي خفيف — انتظر تأكيدًا
−20% إلى −50%:
هيمنة بيعية قوية — مناسب للبيع مع الاتجاه
−50% إلى −100%:
هيمنة بيعية ساحقة — احذر التشبع، قد يسبق ارتداد
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📈 مؤشر شدة الحقل (أعلى المشهد)
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ما يعرضه: "Field: XX.X%"
الدلالة: قوة الصراع بين المشترين والبائعين.
● تفسير القراءات
0–5%:
- المظهر: خطوط مستقيمة تقريبًا، شفافة
- المعنى: سيطرة تامة لأحد الطرفين
- الاستراتيجية: تتبع الترند (Trend Following)
5–15%:
- المظهر: انحناء خفيف
- المعنى: اتجاه واضح مع مقاومة خفيفة
- الاستراتيجية: الدخول مع الاتجاه
15–25%:
- المظهر: انحناء متوسط، خطوط واضحة
- المعنى: صراع متوازن
- الاستراتيجية: تداول النطاق أو الانتظار
25–35%:
- المظهر: انحناء عالي، كثافة واضحة
- المعنى: صراع قوي، عدم يقين عالي
- الاستراتيجية: تداول التقلّب أو الاستعداد للتفريغ
35%+:
- المظهر: خطوط عالية جدًّا، توهج قوي
- المعنى: ذروة التوتر
- الاستراتيجية: أفضل فرص التفريغ
📌 العلاقة الذهبية:
أعلى احتمال تفريغ عندما:
شدة الحقل (25–35%) + جهد (±30–50%) + حجم مرتفع
← هذه هي "المنطقة الحمراء" التي يجب مراقبتها بدقة.
█ قراءة التمثيل البصري الشاملة
لقراءة حالة السوق بنظرة واحدة، اتبع هذا التسلسل:
الخطوة 1: أي كرة أكبر؟
- 🟢 الخضراء أكبر ← ضغط شراء مهيمن
- 🔴 الحمراء أكبر ← ضغط بيع مهيمن
- متساويتان ← توازن/صراع
الخطوة 2: أي كرة مضيئة؟
- 🟢 الخضراء مضيئة ← اتجاه صعودي حالي
- 🔴 الحمراء مضيئة ← اتجاه هبوطي حالي
- كلاهما خافت ← حياد/لا اتجاه واضح
الخطوة 3: هل يوجد توهج برتقالي؟
- لا يوجد ← احتمال تفريغ <30%
- 🟠 توهج خافت ← احتمال تفريغ 30–70%
- 🟠 توهج قوي مع نص ← احتمال تفريغ >70%
الخطوة 4: ما قراءة مقياس الجهد؟
- موجب قوي ← تأكيد الهيمنة الشرائية
- سالب قوي ← تأكيد الهيمنة البيعية
- قريب من الصفر ← لا اتجاه واضح
█ أمثلة عملية للقراءة البصرية
المثال 1: فرصة شراء مثالية ⚡🟢
- الكرة الخضراء: كبيرة ومضيئة مع نبض داخلي
- الكرة الحمراء: صغيرة وخافتة
- التوهج البرتقالي: قوي مع نص "DISCHARGE IMMINENT"
- مقياس الجهد: +45%
- شدة الحقل: 28%
التفسير: ضغط شراء قوي متراكم، انفجار صعودي وشيك
المثال 2: فرصة بيع مثالية ⚡🔴
- الكرة الخضراء: صغيرة وخافتة
- الكرة الحمراء: كبيرة ومضيئة مع نبض داخلي
- التوهج البرتقالي: قوي مع نص "DISCHARGE IMMINENT"
- مقياس الجهد: −52%
- شدة الحقل: 31%
التفسير: ضغط بيع قوي متراكم، انفجار هبوطي وشيك
المثال 3: توازن/انتظار ⚖️
- الكرتان: متساويتان تقريباً في الحجم
- الإضاءة: كلاهما خافت
- التوهج البرتقالي: قوي
- مقياس الجهد: +3%
- شدة الحقل: 24%
التفسير: صراع قوي بدون فائز واضح، انتظر اختراقًا
المثال 4: اتجاه صعودي واضح (لا تفريغ) 📈
- الكرة الخضراء: كبيرة ومضيئة
- الكرة الحمراء: صغيرة جداً وخافتة
- التوهج البرتقالي: لا يوجد
- مقياس الجهد: +68%
- شدة الحقل: 8%
التفسير: سيطرة شرائية واضحة، صراع محدود، مناسب لتتبع الترند الصعودي
المثال 5: تشبع شرائي محتمل ⚠️
- الكرة الخضراء: كبيرة جداً ومضيئة
- الكرة الحمراء: صغيرة جداً
- التوهج البرتقالي: خافت
- مقياس الجهد: +88%
- شدة الحقل: 4%
التفسير: هيمنة شرائية مطلقة، قد يسبق تصحيحاً هبوطياً
█ إشارات التداول
⚡ DISCHARGE IMMINENT (التفريغ الوشيك)
شروط الظهور:
- discharge_prob ≥ 0.9
- اجتياز جميع الفلاتر المفعّلة
- Confirmed (بعد إغلاق الشمعة)
التفسير:
- تراكم طاقة كبير جدًّا
- الضغط وصل لمستوى حرج
- انفجار سعري متوقع خلال 1–3 شموع
كيفية التداول:
1. حدد اتجاه الجهد:
• موجب = توقع صعود
• سالب = توقع هبوط
2. انتظر شمعة تأكيدية:
• للصعود: شمعة صاعدة تغلق فوق افتتاحها
• للهبوط: شمعة هابطة تغلق تحت افتتاحها
3. الدخول: مع افتتاح الشمعة التالية
4. وقف الخسارة: وراء آخر قاع/قمة محلية
5. الهدف: نسبة مخاطرة/عائد 1:2 على الأقل
✅ نصائح احترافية:
- أفضل النتائج عند دمجها مع مستويات الدعم/المقاومة
- تجنّب الدخول إذا كان الجهد قريبًا من الصفر (±5%)
- زِد حجم المركز عند شدة حقل > 30%
⚠️ HIGH TENSION (التوتر العالي)
شروط الظهور:
- 0.7 ≤ discharge_prob < 0.9
التفسير:
- السوق في حالة تراكم طاقة
- احتمال حركة قوية قريبة، لكن ليست فورية
- قد يستمر التراكم أو يحدث تفريغ
كيفية الاستفادة:
- الاستعداد: حضّر أوامر معلقة عند الاختراقات المحتملة
- المراقبة: راقب الشموع التالية بحثًا عن شمعة دافعة
- الانتقاء: لا تدخل كل إشارة — اختر تلك التي تتوافق مع الاتجاه العام
█ استراتيجيات التداول
📈 استراتيجية 1: تداول التفريغ (الأساسية)
المبدأ: الدخول عند "DISCHARGE IMMINENT" في اتجاه الجهد
الخطوات:
1. انتظر ظهور "⚡ DISCHARGE IMMINENT"
2. تحقق من اتجاه الجهد (+/−)
3. انتظر شمعة تأكيدية في اتجاه الجهد
4. ادخل مع افتتاح الشمعة التالية
5. وقف الخسارة وراء آخر قاع/قمة
6. الهدف: نسبة 1:2 أو 1:3
نسبة نجاح عالية جدًّا عند الالتزام بشروط التأكيد.
📈 استراتيجية 2: تتبع الهيمنة
المبدأ: التداول مع القطب المهيمن (الكرة الأكبر والأكثر إضاءة)
الخطوات:
1. حدد القطب المهيمن (الأكبر حجماً والأكثر إضاءة)
2. تداول في اتجاهه
3. احذر عند تقارب الأحجام (صراع)
مناسبة للإطارات الزمنية الأعلى (H1+).
📈 استراتيجية 3: صيد الانعكاس
المبدأ: الدخول عكس الاتجاه عند ظروف معينة
الشروط:
- شدة حقل عالية (>30%)
- جهد متطرف (>±40%)
- تباعد مع السعر (مثل: قمة سعرية جديدة مع تراجع الجهد)
⚠️ عالية المخاطرة — استخدم حجم مركز صغير.
📈 استراتيجية 4: الدمج مع التحليل الفني
أمثلة تأكيد قوي:
- اختراق مقاومة + تفريغ صعودي = إشارة شراء ممتازة
- كسر دعم + تفريغ هبوطي = إشارة بيع ممتازة
- نموذج Head & Shoulders + جهد سالب متزايد = تأكيد النموذج
- تباعد RSI + شدة حقل عالية = انعكاس محتمل
█ التنبيهات الجاهزة
Bullish Discharge
- الشرط: discharge_prob ≥ 0.9 + جهد موجب + جميع الفلاتر
- الرسالة: "⚡ Bullish discharge"
- الاستخدام: فرصة شراء عالية الاحتمالية
Bearish Discharge
- الشرط: discharge_prob ≥ 0.9 + جهد سالب + جميع الفلاتر
- الرسالة: "⚡ Bearish discharge"
- الاستخدام: فرصة بيع عالية الاحتمالية
✅ نصيحة: استخدم هذه التنبيهات مع إعداد "Once Per Bar" لتجنب التكرار.
█ المخرجات في نافذة البيانات
Bias
- القيم: −1 / 0 / +1
- التفسير: −1 = هبوطي، 0 = حياد، +1 = صعودي
- الاستخدام: لدمجها في استراتيجيات آلية
Discharge %
- النطاق: 0–100%
- التفسير: احتمال التفريغ
- الاستخدام: مراقبة تدرّج التوتر (مثال: من 40% إلى 85% في 5 شموع)
Field Strength
- النطاق: 0–100%
- التفسير: شدة الصراع
- الاستخدام: تحديد "نافذة الفرص" (25–35% مثالية للتفريغ)
Voltage
- النطاق: −100% إلى +100%
- التفسير: ميزان القوى
- الاستخدام: مراقبة التطرف (تشبع شرائي/بيعي محتمل)
█ الإعدادات المثلى حسب أسلوب التداول
المضاربة (Scalping)
- الإطار: 1M–5M
- Lookback: 10–15
- Threshold: 0.5–0.6
- Sensitivity: 1.2–1.5
- الفلاتر: Volume + Volatility
التداول اليومي (Day Trading)
- الإطار: 15M–1H
- Lookback: 20
- Threshold: 0.7
- Sensitivity: 1.0
- الفلاتر: Volume + Volatility
السوينغ (Swing Trading)
- الإطار: 4H–D1
- Lookback: 30–50
- Threshold: 0.8
- Sensitivity: 0.8
- الفلاتر: Volatility + Trend
الاستثمار (Position Trading)
- الإطار: D1–W1
- Lookback: 50–100
- Threshold: 0.85–0.95
- Sensitivity: 0.5–0.8
- الفلاتر: جميع الفلاتر
█ نصائح للاستخدام الأمثل
1. ابدأ بالإعدادات الافتراضية
جرّبه أولًا كما هو، ثم عدّل حسب أسلوبك.
2. راقب التوافق بين العناصر
أفضل الإشارات عندما:
- الجهد واضح (>│20%│)
- شدة الحقل معتدلة–عالية (15–35%)
- احتمال التفريغ مرتفع (>70%)
3. استخدم أطر زمنية متعددة
- الإطار الأعلى: تحديد الاتجاه العام
- الإطار الأدنى: توقيت الدخول
- تأكد من توافق الإشارات بين الأطر
4. دمج مع أدوات أخرى
- مستويات الدعم/المقاومة
- خطوط الاتجاه
- أنماط الشموع
- مؤشرات الحجم
5. احترم إدارة المخاطرة
- لا تخاطر بأكثر من 1–2% من الحساب
- استخدم دائمًا وقف الخسارة
- لا تدخل كل الإشارات — اختر الأفضل
█ تحذيرات مهمة
⚠️ ليس للاستخدام المنفرد
المؤشر أداة تحليل مساعِدة — لا تستخدمه بمعزل عن التحليل الفني أو الأساسي.
⚠️ لا يتنبأ بالمستقبل
الحسابات مبنية على البيانات التاريخية — النتائج ليست مضمونة.
⚠️ الأسواق تختلف
قد تحتاج لضبط الإعدادات لكل سوق:
- العملات: تركّز على Volume Filter
- الأسهم: أضف Trend Filter
- الكريبتو: خفّض Threshold قليلًا (أكثر تقلّبًا)
⚠️ الأخبار والأحداث
المؤشر لا يأخذ في الاعتبار الأخبار المفاجئة — تجنّب التداول قبل/أثناء الأخبار الرئيسية.
█ الميزات الفريدة
✅ أول تطبيق للكهرومغناطيسية على الأسواق
نموذج رياضي مبتكر — ليس مجرد مؤشر عادي
✅ كشف استباقي للانفجارات السعرية
يُنبّه قبل حدوث الحركة — وليس بعدها
✅ تصفية متعددة الطبقات
4 فلاتر ذكية تقلل الإشارات الكاذبة إلى الحد الأدنى
✅ تكيف ذكي مع التقلب
يضبط حساسيته تلقائيًّا حسب ظروف السوق
✅ تمثيل بصري ثلاثي الأبعاد متحرك
يجعل القراءة فورية — حتى للمبتدئين
✅ مرونة عالية
يعمل على جميع الأصول: أسهم، عملات، كريبتو، سلع
✅ تنبيهات مدمجة جاهزة
لا حاجة لإعدادات معقدة — جاهز للاستخدام الفوري
█ خاتمة: عندما يلتقي الفن بالعلم
Market Electromagnetic Field ليس مجرد مؤشر — بل فلسفة تحليلية جديدة.
هو الجسر بين:
- دقة الفيزياء في وصف الأنظمة الديناميكية
- ذكاء السوق في توليد فرص التداول
- علم النفس البصري في تسهيل القراءة الفورية
النتيجة: أداة لا تُقرأ — بل تُشاهد، تُشعر، وتُستشعر.
عندما ترى الكرة الخضراء تتوسع، والتوهج يصفرّ، والجزيئات تندفع لليمين — فأنت لا ترى أرقامًا، بل ترى طاقة السوق تتنفّس.
⚠️ إخلاء مسؤولية:
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
In den Scripts nach "swing trading" suchen
Smart Margin Zone
SMART MARGIN ZONE - CME-BASED SUPPORT & RESISTANCE INDICATOR
TITLE FOR PUBLICATION:
Smart Margin Zone - CME Margin-Based Support and Resistance
CATEGORY:
Support and Resistance
SHORT DESCRIPTION (for preview):
Automatically plots margin zones based on CME Group requirements. These zones represent critical price levels where leveraged traders face margin calls, creating natural support and resistance through forced liquidations.
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FULL DESCRIPTION FOR TRADINGVIEW:
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📊 Smart Margin Zone - Professional Trading Zones Based on CME Data
This indicator automatically calculates and displays margin zones derived from official CME Group margin requirements. These zones represent critical price levels where traders using leverage receive margin calls, triggering forced position closures that create natural support and resistance levels.
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🎯 CORE CONCEPT
═══════════════════════════════════════════════════════════════
When price reaches calculated margin zones, traders using 2:1 or 4:1 leverage on CME futures receive margin calls. Brokers automatically liquidate these positions, creating waves of buying or selling pressure that form strong support and resistance levels.
This is not theoretical - it's based on actual margin requirements from CME Group, the world's largest derivatives marketplace.
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📐 CALCULATION METHODOLOGY
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The indicator uses the following formula to calculate zone sizes:
Zone Size = (Margin Requirement / Tick Value) × Tick Size × 1.10
Where:
• Margin Requirement = Official CME initial margin (updated November 2024)
• Tick Value = Dollar value of minimum price movement
• Tick Size = Minimum price increment
• 1.10 = 10% buffer for realistic zone width
SUPPORTED INSTRUMENTS WITH CME DATA:
Currency Pairs:
• EURUSD: $2,100 margin → 0.0168 zone size
• GBPUSD: $1,800 margin → 0.0144 zone size
• AUDUSD: $1,300 margin → 0.0065 zone size
• NZDUSD: $1,100 margin → 0.0055 zone size
• USDJPY: $3,200 margin → custom calculation
• USDCAD: $950 margin → calculated
• USDCHF: $1,650 margin → calculated
Commodities:
• Gold (XAUUSD): $8,000 margin → 80 points zone size
• Silver (XAGUSD): $6,500 margin → calculated
• WTI Crude Oil: $4,500 margin → calculated
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🔍 HOW IT WORKS
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1. SWING POINT DETECTION
The indicator automatically identifies swing highs and swing lows using a configurable lookback period (default 10 bars). These become anchor points for zone calculations.
2. FIVE ZONE LEVELS
From each swing point, five zone levels are calculated:
• Zone 1/4 (25%) - First correction level
• Zone 1/2 (50%) - KEY ZONE for trend determination
• Zone 3/4 (75%) - Intermediate level
• Zone 1/1 (100%) - Full margin zone (strongest level)
• Zone 5/4 (125%) - Extended zone
3. TREND IDENTIFICATION
• Close above Zone 1/2 resistance = Bullish trend
• Close below Zone 1/2 support = Bearish trend
• Between zones = Range/consolidation
4. HISTORICAL CONTEXT
Current zones are displayed prominently with fills and labels. Historical zones appear as thin, semi-transparent lines for context without cluttering the chart.
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⚙️ FEATURES
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AUTOMATED CALCULATION:
✅ Auto-detection of swing highs and lows
✅ Real-time zone updates as new swings form
✅ CME margin data built-in for major instruments
✅ Manual override option for custom calculations
VISUAL CLARITY:
✅ Color-coded zones (red=resistance, green=support)
✅ Adjustable transparency for fills and lines
✅ Current zones bold with fills and price labels
✅ Historical zones thin and transparent
✅ Swing point markers show calculation origins
CUSTOMIZATION:
✅ Show/hide individual zone levels (1/4, 1/2, 3/4, 1/1, 5/4)
✅ Toggle historical zones on/off
✅ Adjustable lookback period (5-50 bars)
✅ Customizable colors for all elements
✅ Line width and transparency controls
✅ Zone extension options (none/right/both)
TREND ANALYSIS:
✅ Optional trend background coloring
✅ Customizable trend colors and transparency
✅ Real-time trend identification display
STATISTICS:
✅ Live statistics table showing:
- Current instrument
- Active zone size
- Calculation mode
- Current trend direction
- Number of zones displayed
ALERTS:
✅ Zone 1/2 breakout (up/down)
✅ Full margin zone 1/1 reached
✅ Customizable alert messages
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📈 TRADING APPLICATIONS
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ENTRY SIGNALS:
• Bounces from zone levels = potential entry points
• Zone 1/2 breakouts = trend continuation entries
• Zone rejections = reversal opportunities
RISK MANAGEMENT:
• Zone levels = logical stop-loss placement
• Zone 1/1 = maximum risk level
• Zone spacing = position sizing guide
PROFIT TARGETS:
• Next zone level = first target
• Zone 1/1 = full profit target
• Zone breakouts = extended targets
TREND CONFIRMATION:
• Price above Zone 1/2 resistance = confirmed uptrend
• Price below Zone 1/2 support = confirmed downtrend
• Consolidation between zones = wait for breakout
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📚 USAGE INSTRUCTIONS
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GETTING STARTED:
1. Add indicator to chart of any supported instrument
2. Zones automatically calculate and display
3. Adjust swing detection period if needed (default 10 works well)
4. Customize colors and visibility to your preference
OPTIMAL SETTINGS:
• Best timeframes: H1, H4, Daily, Weekly
• Default swing length (10) suitable for most markets
• Show 2-3 historical zones for context
• Enable swing point markers to see calculation origins
INTERPRETATION:
• Watch for price reactions at zone boundaries
• Strong bounces = respect for margin level
• Clean breaks = momentum continuation
• Multiple touches = zone strength confirmation
SET ALERTS:
• Zone 1/2 breakouts for trend entries
• Zone 1/1 reaches for profit-taking
• Custom alerts for your specific strategy
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⚠️ IMPORTANT NOTES
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DATA ACCURACY:
• CME margin requirements updated November 2024
• Margins change periodically - check CME Group website
• Manual mode available for latest margin data
• Indicator provides analysis tool, not financial advice
STATISTICAL PERFORMANCE:
• Historical data shows >60% probability of continued movement after Zone 1/2 breakout
• Zone effectiveness varies by market conditions
• Best results in trending markets with clear swings
LIMITATIONS:
• Margin requirements change - monitor CME updates
• Works best on liquid instruments with clear swings
• Not a standalone trading system
• Should be combined with additional analysis
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🔧 METHODOLOGY CREDIT
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This indicator is based on the margin zones concept developed by Alexander Bazylev (BTrade indicator for MetaTrader platforms).
The TradingView implementation has been completely rewritten with original enhancements:
• Multiple zone levels instead of single level
• Automatic swing point detection algorithm
• Direct CME data integration
• Historical zone visualization
• Advanced customization options
• Comprehensive statistics and alerts
All code is original and specifically designed for TradingView's Pine Script v5 environment.
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💡 BEST PRACTICES
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COMBINE WITH:
• Volume analysis for confirmation
• Trend indicators for direction bias
• Price action patterns at zones
• Higher timeframe analysis
AVOID:
• Trading against strong trends at minor zones
• Over-leveraging based solely on zone placement
• Ignoring broader market context
• Expecting perfect bounces every time
OPTIMIZE:
• Adjust swing length for different timeframes
• Shorter period (5-7) for intraday trading
• Longer period (15-20) for swing trading
• Test historical effectiveness on your instruments
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📖 EDUCATIONAL VALUE
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This indicator helps traders understand:
• How institutional margin requirements affect price
• Where forced liquidations create pressure
• Natural support and resistance formation
• Relationship between leverage and price levels
• Market structure and key technical levels
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🔄 VERSION HISTORY
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Version 1.0 (Initial Release):
• CME-based zone calculation for 10 instruments
• Automatic swing high/low detection
• 5 zone levels with customizable display
• Historical zones with transparency control
• Swing point markers
• Trend background indicator
• Live statistics table
• Multiple alert conditions
• Fully customizable colors and styles
• English language interface
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📞 SUPPORT & FEEDBACK
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Questions or suggestions? Leave a comment below!
If you find this indicator useful:
⭐ Please leave a like
💬 Share your experience in comments
🔔 Follow for updates and new indicators
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⚖️ DISCLAIMER
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This indicator is provided for educational and analytical purposes only. It is not financial advice and should not be the sole basis for trading decisions.
• Past performance does not guarantee future results
• Trading involves substantial risk of loss
• CME margin requirements subject to change
• Always do your own research and risk management
• Consult a financial advisor for investment advice
The creator is not responsible for any trading losses incurred through use of this indicator.
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector
Version: PineScript™v6
📌 Description
The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps.
Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart.
🚀 Points of Innovation
Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification
Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception
Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements
Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization
Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility
Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup
🔧 Core Components
Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions
Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe
Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars
3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations
Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring
🔥 Key Features
Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded
Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type
Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection
Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold
Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter
Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics
Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached
Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window
🎨 Visualization
Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance
Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation
Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes
Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency)
Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise
Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time
Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference
📖 Usage Guidelines
Detection Settings
Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100.
Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection.
Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions.
Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon.
Visual Settings
Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility.
High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color.
Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart.
Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems.
✅ Best Use Cases
Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones
Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support
Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids
Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance
Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas
Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities
⚠️ Limitations
Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur
No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy
Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins
Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently
Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others
No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection
Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed
💡 What Makes This Unique
Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality
Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss
Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter
ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration
Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy
Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization
🔬 How It Works
Phase 1: Real-Time Detection
On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier
Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter
If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics
Phase 2: Void Tracking & Qualification
When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator
Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores
When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets
Phase 3: 3D Visualization Construction
Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength)
Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR
Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones
Creates optional center label and pushes all visual elements into arrays for memory management
Phase 4: Memory Management & Display
Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift()
Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history
Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart
💡 Note:
This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
SMT Pro — Multi-Timeframe Divergence (MD)# SMT Pro - Multi-Timeframe Divergence
## What You Get
SMT Pro automatically identifies Smart Money Technique (SMT) divergences across multiple correlated markets, giving you high-probability reversal signals that institutional traders watch.
**Key Benefits:**
- **Automatic Market Correlation** - The indicator intelligently selects correlated pairs (ES/YM, NQ/ES, GC/XAUUSD) based on your chart symbol, or you can specify custom pairs
- **Clean, Actionable Signals** - Only the most relevant divergences are displayed, eliminating noise through intelligent priority filtering
- **Multi-Timeframe Coverage** - From 1-minute scalping to monthly swing trading, all major timeframes are covered
- **Higher Timeframe Priority** - Advanced algorithm ensures higher timeframe signals always take precedence, preventing conflicting signals
- **Professional Visualization** - Clear color-coded lines and labels show exact divergence levels and timeframes
## What Is SMT?
Smart Money Technique (SMT) occurs when two correlated markets move in opposite directions at key turning points. When one market makes a new high/low while its correlated pair fails to confirm, it signals institutional repositioning and potential reversals.
**Example:**
- ES makes a new higher high
- YM makes a lower high (fails to confirm)
- Result: Bearish SMT divergence = potential reversal down
## Features
- **10 Timeframe Controls**: Monthly, Weekly, Daily, 12H, 4H, 1H, 30min, 15min, 5min, 1min
- **Direction Filter**: Choose Bullish, Bearish, or Both signals
- **Symbol Modes**: Automatic correlation detection or manual pair selection
- **Customizable Colors**: Match your chart theme with adjustable bullish/bearish colors
- **Smart Display**: Labels show the timeframe of each divergence
- **Optimized Performance**: Advanced algorithms ensure fast, reliable signal detection
## How To Use
1. **Add to Chart**: Apply SMT Pro to your primary market chart (e.g., ES, NQ, BTC, EUR)
2. **Configure Symbols**:
- **Automatic Mode** (Recommended): The indicator auto-selects correlated pairs
- **Manual Mode**: Specify custom symbol pairs for analysis
3. **Select Timeframes**: Enable/disable timeframes based on your trading style:
- Scalpers: 1min, 5min, 15min
- Day Traders: 15min, 30min, 1H, 4H
- Swing Traders: 4H, 12H, Daily, Weekly
- Position Traders: Daily, Weekly, Monthly
4. **Interpret Signals**:
- **Blue Lines** = Bullish SMT (potential reversal up)
- **Red Lines** = Bearish SMT (potential reversal down)
- **Labels** = Show timeframe and which correlated symbol triggered the divergence
5. **Trade Confirmation**: Use SMT signals with your existing strategy for entry confirmation, stop placement, and profit targets
## Best Practices
- **Higher Timeframes = Higher Probability**: Weekly and Daily SMTs carry more weight than minute-based signals
- **Confluence Is Key**: Multiple timeframe SMTs at the same level increase trade probability
- **HTF Priority System**: The indicator automatically prioritizes higher timeframe signals, reducing visual clutter
- **Wait for Confirmation**: Let price action confirm the divergence before entering
- **Combine With Price Action**: Use SMT with support/resistance, order blocks, and liquidity concepts
## Performance Notes
- **Optimized for Speed**: Proprietary algorithms ensure real-time signal detection without lag
- **Replay Mode Compatible**: Works perfectly with TradingView's bar replay feature
- **Chart Timeframe Adaptive**: Automatically adjusts internal processing based on your chart's timeframe
## Recommended Settings
**For Scalping (1-5min charts):**
- Enable: 1min, 5min, 15min, 30min
- Disable: Higher timeframes
**For Day Trading (15min-1H charts):**
- Enable: 15min, 30min, 1H, 4H
- Disable: 1min, 5min, Monthly
**For Swing Trading (4H-Daily charts):**
- Enable: 4H, 12H, Daily, Weekly
- Disable: Minute-based timeframes
**For Position Trading (Daily+ charts):**
- Enable: Daily, Weekly, Monthly
- Disable: All intraday timeframes
## Symbol Compatibility
**Automatic Mode Supports:**
- **E-mini Futures**: NQ, ES, YM (automatically paired)
- **Micro E-mini Futures**: MNQ, MES, MYM (automatically paired)
- **Gold Markets**: GC, XAUUSD, XAUGBP (automatically paired)
**Manual Mode:**
- Works with any two correlated instruments
- Supports futures, crypto, forex, stocks, indices
- You specify both symbols manually
## Support
For questions or feedback, contact the author through TradingView.
---
**Version**: 6.0.0 PUBLIC
**Release Date**: November 18, 2025
**Author**: Md Modasshir (MD)
*This indicator implements proprietary algorithms for institutional-grade divergence detection. All signal generation logic is optimized for professional trading environments.*
Keltner Channels BandsKeltner Channels Bands - パブリッシュ用説明文
日本語版
タイトル
Keltner Channels Bands (Multi-Timeframe)
説明文
概要
シンプルで視認性の高いケルトナーチャネルインジケーターです。マルチタイムフレーム機能を搭載し、どの時間足でも上位足のケルトナーチャネルを表示できます。
特徴
グレーカラーでチャートを見やすく保持
マルチタイムフレーム対応（デフォルト: 1時間足）
4時間足以上で自動非表示機能（チャートの見やすさを維持）
EMAまたはSMAの選択が可能
ATR倍率とバンド幅を自由にカスタマイズ
トレードコンセプト
ケルトナーチャネルは、価格のボラティリティに基づいたトレンド追従型インジケーターです。
基本的な使い方:
トレンド判定: 価格がバンドの上部で推移している場合は上昇トレンド、下部で推移している場合は下降トレンド
エントリー: 価格がバンド外に出た後、バンド内に戻るタイミングでトレンド方向へエントリー
エグジット: 価格が中心線（MA）に到達、または反対側のバンドに接近した時
ブレイクアウト: バンドを勢いよく突破した場合、新たなトレンドの始まりを示唆
推奨設定:
スイングトレード: Length 20, Multiplier 2.2, 1時間足または4時間足
デイトレード: Length 20, Multiplier 2.0, 5分足または15分足で1時間足を表示
注意事項
このインジケーターは単独での使用ではなく、他のテクニカル指標やプライスアクションと組み合わせて使用することを推奨します。
English Version
Title
Keltner Channels Bands (Multi-Timeframe)
Description
Overview
A simple and visually clean Keltner Channels indicator with multi-timeframe capabilities. Display higher timeframe Keltner Channels on any chart timeframe.
Features
Clean gray color scheme for better chart visibility
Multi-timeframe support (Default: 1-hour)
Auto-hide on 4H+ timeframes to maintain chart clarity
Choice between EMA or SMA
Customizable ATR multiplier and band width
Trading Concept
Keltner Channels is a volatility-based trend-following indicator that helps traders identify trend direction and potential entry/exit points.
Basic Usage:
Trend Identification: Price staying near upper band indicates uptrend; near lower band indicates downtrend
Entry Signals: Enter in trend direction when price returns inside the bands after moving outside
Exit Signals: Consider exits when price reaches the center line (MA) or approaches the opposite band
Breakout Trading: Strong momentum breaks through the bands may signal the start of a new trend
Recommended Settings:
Swing Trading: Length 20, Multiplier 2.2, 1H or 4H timeframe
Day Trading: Length 20, Multiplier 2.0, Display 1H channels on 5M or 15M charts
Disclaimer
This indicator should not be used alone. Combine it with other technical indicators and price action analysis for better trading decisions.
Smart Trend Signal with Bands [wjdtks255]Indicator Description for TradingView
Title: Adaptive Trend Kernel
Description:
The "Adaptive Trend Kernel " is a versatile trend-following and volatility indicator designed to help traders identify dynamic market trends, potential reversals, and price extremes within a channel. Built upon a customized linear regression model, this indicator provides clear visual cues to enhance your trading decisions.
Key Features:
Regression Line: A central dynamic line representing the core trend direction, calculated based on a user-defined "Regression Length."
Regression Bands: Standard deviation-based bands plotted around the Regression Line, which act like a dynamic channel. These bands expand and contract with market volatility, indicating potential overbought/oversold conditions relative to the trend.
Trend Reversal Signals: Distinct "Up" (green triangle up) and "Down" (red triangle down) signals are generated when the price (close) crosses over or under the Regression Line. These signals suggest potential shifts in the short-term trend direction.
Visual Customization: Highly flexible input options for adjusting line colors, band colors, line width, and panel opacity. Users can toggle the visibility of bands and trend labels to suit their chart preferences.
Panel Label: A subtle "Regression" label is dynamically positioned, offering clear context without cluttering the main chart.
How it Works: The indicator calculates a linear regression line as the adaptive center of the price movement. Standard deviation is then used to create upper and lower bands, encapsulating typical price fluctuations. Signals are fired when price breaks out of the regression line, suggesting a momentum shift in line with the established trend or a potential reversal.
Trading Methods & Strategies
Here are some trading strategies you can apply using the "Adaptive Trend Kernel " indicator:
Trend-Following with Confirmation:
Long Entry: Look for an "Up" signal (green triangle up) when the price is above the Regression Line, especially after a brief retracement towards the line. This confirms that the uptrend is likely resuming.
Short Entry: Look for a "Down" signal (red triangle down) when the price is below the Regression Line, especially after a brief rally towards the line. This confirms that the downtrend is likely resuming.
Exit Strategy: Consider exiting if an opposite signal appears, or if the price closes outside the opposite band, indicating potential overextension or reversal.
Reversal / Counter-Trend Play:
Long Entry (Aggressive): When the price approaches or briefly dips below the Lower Regression Band and then generates an "Up" signal (green triangle up). This could indicate a potential bounce from an oversold condition relative to the trend.
Short Entry (Aggressive): When the price approaches or briefly moves above the Upper Regression Band and then generates a "Down" signal (red triangle down). This could indicate a potential pullback from an overbought condition relative to the trend.
Confirmation: This strategy works best when combined with other reversal confirmation patterns (e.g., bullish/bearish engulfing candlesticks) or divergences in other momentum indicators (like RSI).
Volatility Breakout:
Entry (Long): After a period of low volatility where the Regression Bands are narrow, observe if the price decisively breaks above the Upper Regression Band and an "Up" signal appears. This suggests a strong bullish momentum breakout.
Entry (Short): After a period of low volatility where the Regression Bands are narrow, observe if the price decisively breaks below the Lower Regression Band and a "Down" signal appears. This suggests a strong bearish momentum breakdown.
Management: Volatility breakouts can be swift; use appropriate risk management and profit-taking strategies.
Important Considerations:
Risk Management: Always apply proper stop-loss and take-profit levels. No indicator is infallible.
Timeframe Sensitivity: Adjust the "Regression Length" and "Band Multiplier" according to the asset and timeframe you are trading. Shorter lengths might suit scalping, while longer lengths are better for swing trading.
Confirmation with Other Tools: For higher conviction trades, use this indicator in conjunction with other technical analysis tools such like volume, MACD, or RSI on an oscillator pane.
Backtesting: Always backtest any strategy on historical data to understand its performance characteristics before live trading.
Luxy Sector & Industry RS AnalyzerEver wonder why some stocks soar while others in the same sector barely move? Or why your perfectly timed entry still loses money? Possibly the answer can be found in Relative Strength.
The Luxy Sector & Industry RS Analyzer solves a critical problem that most traders overlook: picking strong stocks in strong sectors AND strong industries . It's not enough for a stock to go up - you want stocks that are crushing their competition at both the sector AND industry level. This indicator does the heavy lifting by automatically comparing your stock against its sector ETF, industry ETF, the broader market, sector leader, and industry leader, giving you a complete multi-level picture of relative performance.
What makes this different?
- Automatic sector AND industry detection - no manual setup required
- Multi-level hierarchy analysis: Market → Sector → Industry → Stock
- Multi-timeframe analysis (1 month to 1 year) in one glance
- Industry ETF mapping (30+ industries covered)
- Clear 0-100 scoring system with letter grades (A+ to F)
- Works on stocks, crypto, forex, and commodities
- Real-time updates with anti-repaint protection
Think of it as your performance dashboard - instantly showing you if you're trading a champion or a laggard at every level of the market hierarchy.
METHODOLOGY & ATTRIBUTION
This indicator is based on classical Relative Strength (RS) analysis principles from technical analysis. RS methodology compares an asset's price performance against a benchmark to identify relative outperformance or underperformance. This concept has been used by professional traders and institutions for decades.
Key Concepts Used:
Relative Strength (RS) - Classical technical analysis concept measuring comparative performance
Multi-Level Hierarchy Analysis - Market → Sector → Industry → Stock comparison
Sector Rotation Analysis - Identifying which sectors are leading or lagging the market
Industry Rotation Analysis - Identifying which industries are leading within their sectors
Multi-period Performance Analysis - Evaluating strength across multiple timeframes
Beta Calculation - Standard statistical measure of volatility relative to a benchmark
DISCLAIMER: This indicator is for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell. Past performance does not guarantee future results. Trading involves risk and may not be suitable for all investors. Always do your own research and consult with a financial advisor before making investment decisions.
with all rows visible - capture when stock has strong RS score (70+) so users can see what a "good" setup looks like]
WHAT THE INDICATOR SHOWS
1. AUTOMATIC ASSET TYPE DETECTION
The indicator automatically identifies what you're analyzing and adjusts accordingly:
Stocks - Compares to sector ETF (XLK, XLF, XLV, etc.) and SPY
Crypto - Compares to Total Crypto Market Cap and Bitcoin
Forex - Compares to relevant currency index (DXY, EXY, etc.)
Commodities - Compares to Gold (GLD) as benchmark
Indices - Compares to broader market indices
How it works: The indicator reads your chart's asset type and ticker, then automatically maps it to the correct sector or benchmark. For stocks, it uses intelligent sector detection (looking at the sector field) to match you with the right sector ETF. For example:
- Technology stocks get compared to XLK (Technology Select Sector SPDR)
- Financial stocks get compared to XLF (Financial Select Sector SPDR)
- Healthcare stocks get compared to XLV (Health Care Select Sector SPDR)
This happens instantly when you add the indicator to any chart - no configuration needed.
2. SECTOR & MARKET BENCHMARKS
What is a Sector ETF?
A sector ETF is an exchange-traded fund that tracks a specific industry group. For example, XLK contains all major technology companies. By comparing your stock to its sector ETF, you can see if your stock is outperforming or underperforming its peers.
The indicator shows three key comparison points:
Stock vs Sector (Benchmark)
This tells you how your stock performs compared to companies in the same industry. Positive numbers mean your stock is beating the sector average. Negative numbers mean it's lagging behind.
Stock vs Market (SPY)
This shows performance against the broader S&P 500 index. This is important because even if a stock beats its sector, the entire sector might be weak. You want stocks that beat both their sector AND the market.
Sector vs Market
This reveals "sector rotation" - whether money is flowing into or out of this sector. When this number is positive, the whole sector is hot and leading the market. This is powerful because strong sectors tend to lift all boats, making it easier to find winners.
3. MULTI-PERIOD PERFORMANCE ANALYSIS
The indicator calculates performance across four timeframes simultaneously:
1 Month (1M) - Recent short-term momentum
3 Months (3M) - Medium-term trend strength
6 Months (6M) - Longer-term positioning
1 Year (1Y) - Full-cycle performance view
Why multiple periods matter:
A stock might look great over 1 month but terrible over 6 months - that's a red flag. The best stocks show consistent strength across all timeframes . When you see positive RS (Relative Strength) values across all four periods, you've found a stock with sustained outperformance.
Each row in the table shows:
- Raw performance percentage for that period
- RS value (the difference compared to benchmark)
- Color coding: Green for positive, red for negative, white for neutral
4. SECTOR LEADER COMPARISON
The indicator automatically identifies and compares your stock to the sector leader - the dominant stock in that industry.
Sector leaders by industry:
Technology: Apple (AAPL)
Healthcare: UnitedHealth (UNH)
Financial: JPMorgan Chase (JPM)
Energy: ExxonMobil (XOM)
Consumer Discretionary: Amazon (AMZN)
Consumer Staples: Walmart (WMT)
And more...
Why this matters:
Comparing to the leader shows you if you're trading a champion or a follower. If your stock consistently beats the sector leader, you've found something special. If it's lagging the leader, you might want to trade the leader instead.
Optional Custom Leader:
You can override the automatic leader and compare to any stock you choose. This is useful if you want to benchmark against a specific competitor or reference stock.
NEW! INDUSTRY ANALYSIS (STOCKS ONLY)
The indicator now provides multi-level analysis by automatically detecting and comparing your stock to its specific industry , not just the broad sector.
Why Industry matters:
Technology sector (XLK) contains many different industries: Software, Semiconductors, Hardware, etc. A software stock might beat the broad tech sector but lag behind other software companies. Industry analysis provides this granular view.
Industry ETF Mapping (30+ industries):
Software/Applications: IGV (iShares Software ETF)
Semiconductors: SMH (VanEck Semiconductor ETF)
Biotech: IBB (iShares Biotechnology ETF)
Pharmaceuticals: XPH (SPDR Pharmaceuticals ETF)
Banks: KBE (SPDR S&P Bank ETF)
Regional Banks: KRE (SPDR Regional Banking ETF)
Oil & Gas Exploration: XOP (SPDR Oil & Gas Exploration ETF)
Homebuilders: XHB (SPDR Homebuilders ETF)
Retail: XRT (SPDR S&P Retail ETF)
Aerospace & Defense: ITA (iShares U.S. Aerospace & Defense ETF)
And many more...
Industry Leader Mapping:
The indicator also identifies the leader within each industry:
Software: Microsoft (MSFT)
Semiconductors: NVIDIA (NVDA)
Biotech: Amgen (AMGN)
Pharmaceuticals: Eli Lilly (LLY)
Banks: JPMorgan (JPM)
Oil Exploration: ConocoPhillips (COP)
And more...
New Table Rows for Stocks:
Industry ETF Performance - How the specific industry performed (green background)
Industry Leader Performance - How the top stock in the industry performed
vs Industry RS - Your stock's outperformance vs its industry ETF
Industry vs Sector RS - Is this industry hot or cold within its sector?
vs Industry Leader RS - Your stock's performance vs the industry's best
Why this is powerful:
A stock that beats both its sector AND its industry is showing strength at every level. This indicates true relative strength, not just riding sector-wide momentum.
Optional Custom Industry:
You can override automatic detection for both Industry ETF and Industry Leader in settings.
5. RS SCORE & GRADING SYSTEM (0-100)
The heart of the indicator is the RS Score - a weighted calculation that distills all the performance data into one clear number from 0 to 100.
How the score is calculated:
FOR STOCKS (with Industry data):
The indicator splits the weight between Sector (60%) and Industry (40%):
SECTOR RS (60% of total weight):
1 Month RS: 24% weight (40% × 0.6)
3 Month RS: 18% weight (30% × 0.6)
6 Month RS: 12% weight (20% × 0.6)
1 Year RS: 6% weight (10% × 0.6)
INDUSTRY RS (40% of total weight):
1 Month RS: 16% weight (40% × 0.4)
3 Month RS: 12% weight (30% × 0.4)
6 Month RS: 8% weight (20% × 0.4)
1 Year RS: 4% weight (10% × 0.4)
FOR OTHER ASSETS (Crypto, Forex, Commodities):
Uses full 100% weight on benchmark:
1 Month RS: 40% weight
3 Month RS: 30% weight
6 Month RS: 20% weight
1 Year RS: 10% weight
It starts at 50 (neutral) and adds or subtracts points based on your asset's relative strength in each period.
Bonus points:
+5 points if the sector is outperforming the market (sector rotation is bullish)
+5 points if the industry is outperforming its sector (hot industry) - STOCKS ONLY
+5 points if RS momentum is improving (getting stronger over time)
-5 points if RS momentum is declining (getting weaker)
The final score is capped between 0-100.
Letter Grade System:
90-100: A+ - Elite performer, crushing the sector
85-89: A - Excellent, strong outperformer
80-84: A- - Very good, above average
75-79: B+ - Good, solid performer
70-74: B - Above average, decent strength
65-69: B- - Slightly above average
60-64: C+ - Average, neutral strength
55-59: C - Below average
50-54: C- - Weak, slight underperformance
45-49: D+ - Concerning weakness
40-44: D - Poor, significant underperformance
0-39: F - Failing, avoid this stock
What scores mean for trading:
- RS Score above 70: Strong stocks worth considering for long positions
- RS Score 50-70: Average stocks, better opportunities elsewhere
- RS Score below 50: Weak stocks, avoid or consider for shorts
6. CONSISTENCY SCORE
This metric shows what percentage of time periods show positive RS .
For STOCKS (with Industry data):
Counts both Sector RS periods AND Industry RS periods (up to 8 total periods):
- If a stock beats both sector and industry in all 4 periods each: Consistency = 100% (8/8)
- If it beats in 6 out of 8 total periods: Consistency = 75%
- If it beats in 4 out of 8 total periods: Consistency = 50%
For OTHER ASSETS:
Counts benchmark periods only (4 total):
- If it beats benchmark in all 4 periods (1M, 3M, 6M, 1Y): Consistency = 100%
- If it beats in 3 out of 4 periods: Consistency = 75%
- If it beats in 2 out of 4 periods: Consistency = 50%
Why consistency matters:
A high RS Score with low consistency might indicate a recent spike that could fade. The best stocks show both high RS Score AND high consistency - they're strong now AND have been strong historically at both the sector AND industry level.
Look for stocks with:
Consistency above 75%: Very reliable strength across all levels
Consistency 50-75%: Decent but check other metrics
Consistency below 50%: Weak or erratic, proceed with caution
7. BETA CALCULATION (Volatility Measure)
Beta measures how much more volatile your stock is compared to its sector.
Beta > 1.2 : High volatility - stock moves more aggressively than sector (marked as "High")
Beta 0.8-1.2 : Normal volatility - moves roughly in line with sector
Beta < 0.8 : Low volatility - stock is more stable than sector (marked as "Low")
Formula used:
Beta = Correlation(Stock, Sector) × (Standard Deviation of Stock / Standard Deviation of Sector)
This uses a 20-period calculation for reliability.
How to use Beta:
- High Beta stocks offer bigger gains but also bigger risks - good for aggressive traders
- Low Beta stocks are more defensive - good for conservative positions
- Match Beta to your risk tolerance and strategy
8. DAYS ABOVE/BELOW SECTOR
This tracks consecutive periods (bars) where your stock outperforms or underperforms its sector.
Days Above Sector:
Counts how many bars in a row your stock has beaten the sector.
10+ days: Strong sustained strength (shown in bright green)
5-9 days: Building momentum (shown in yellow)
1-4 days: Early strength (shown in white)
0 days: Not currently outperforming
Days Below Sector:
Counts how many bars in a row your stock has lagged the sector.
10+ days: Sustained weakness (shown in bright red)
5-9 days: Losing momentum (shown in orange)
1-4 days: Minor weakness (shown in white)
0 days: Not underperforming (this is good!)
Why this matters:
Long streaks show trend persistence. A stock with 15+ days above sector is riding strong momentum. A stock with 15+ days below sector is in a sustained downtrend relative to peers.
9. PRICE VS 52-WEEK HIGH
Shows where current price sits relative to its 52-week high (or equivalent for your timeframe).
95%+ (green) : Stock is near all-time highs - strong positioning
80-94% (yellow) : Stock is in a pullback but still relatively strong
Below 80% : Stock has pulled back significantly from highs
Why this matters:
The strongest stocks stay near their highs. When you see a stock with high RS Score AND price near 52W high, you've found a stock with institutional support and strong buying pressure.
10. RELATIVE VOLUME
Compares current volume to the 20-period average volume.
1.5x+ (green) : High volume - significant interest and participation
Around 1.0x : Average volume - normal trading activity
Below 1.0x : Low volume - less interest or inactive period
Why volume matters:
High relative volume confirms price moves. When a stock makes a strong move on 2x or 3x normal volume, it's more likely to sustain. Low volume moves are often just noise.
11. AVERAGE RS STRENGTH
This calculates the average absolute value of all RS readings across the four timeframes.
It shows the magnitude of divergence from the sector, regardless of direction. A high number means the stock moves very differently from its sector (could be much stronger or much weaker). A low number means it tracks closely with the sector.
High Average RS: Stock has strong character, moves independently
Low Average RS: Stock follows sector closely, lacks individual strength
12. SECTOR ROTATION SIGNAL
This indicator automatically detects when a sector is experiencing bullish rotation - meaning money is flowing into the sector and it's outperforming the broader market.
Condition for bullish rotation:
Sector must be beating SPY (market) in both 1-month AND 3-month periods.
Why this matters:
Stocks in hot sectors tend to perform better because they have tailwinds from sector-wide buying. When sector rotation is bullish and your stock has a high RS Score, you've found an ideal setup.
The indicator adds +5 bonus points to the RS Score when sector rotation is bullish.
13. MOMENTUM DETECTION
The indicator compares 1-month RS to 3-month RS to detect if momentum is improving or declining.
RS Momentum Improving: 1M RS is better than 3M RS - stock is getting stronger (adds +5 to score)
RS Momentum Declining: 1M RS is worse than 3M RS - stock is getting weaker (subtracts -5 from score)
Why momentum matters:
You want to catch stocks as momentum is building, not after it's already peaked. Improving momentum suggests the strength is accelerating, not fading.
14. OVERALL ASSESSMENT & RECOMMENDATION
The indicator provides two quick summary rows:
Overall Rating:
Based on grade and RS Score, you get an instant quality rating:
Strong Leader (A/A+) - Top tier stock, crushing it
Above Average (A-/B+) - Solid performer, better than most
Average (B/B-) - Middle of the pack
Below Average (C/C+) - Struggling, watch carefully
Underperformer (D/F) - Weak stock, underperforming badly
Trading Signal:
Combines multiple factors to give setup quality:
STRONG BUY SETUP - RS Score 70+, Consistency 75+, AND sector rotation bullish. This is the perfect storm - strong stock, consistent strength, hot sector.
BULLISH - RS Score 60+, Consistency 50+. Good quality stock worth considering.
NEUTRAL - RS Score 50+. Okay but not exciting, better opportunities exist.
WEAK - RS Score 40-49. Below average, risky.
AVOID - RS Score below 40. Stay away, too weak.
IMPORTANT: These are educational signals only, not financial advice. Always do your own analysis and risk management.
KEY FEATURES
1. AUTOMATIC EVERYTHING
- Auto-detects asset type (stock, crypto, forex, commodity, index)
- Auto-maps stocks to correct sector ETF (11 sectors covered)
- Auto-maps stocks to correct industry ETF (30+ industries covered)
- Auto-identifies sector leader AND industry leader
- Auto-selects appropriate market benchmark
- Zero configuration required - just add to chart
2. MULTI-ASSET SUPPORT
Works on all asset classes:
US Stocks - Compares to sector ETFs (XLK, XLF, XLV, etc.)
Crypto - Compares to Total Crypto Market Cap
Forex - Compares to currency indices (DXY, EXY, etc.)
Commodities - Compares to Gold (GLD)
Indices - Compares to broader market benchmarks
3. FLEXIBLE DISPLAY
9 table positions (top/middle/bottom, left/center/right)
4 size options (tiny, small, normal, large)
Show/hide table completely
Real-time indicator toggle
4. TIMEFRAME FLEXIBILITY
Choose your analysis timeframe:
Chart Timeframe (default) - Uses whatever timeframe your chart is on
Fixed: 1 Hour, 4 Hours, Daily, Weekly - Forces calculations to specific timeframe
This means you can be on a 5-minute chart but analyze RS on Daily timeframe if you prefer.
5. RS SCORE FILTERING
Set a minimum RS Score threshold to only see strong stocks:
Set to 0 - Shows all stocks
Set to 70 - Only displays stocks with RS Score 70+ (strong stocks only)
Warning message displays if stock doesn't meet threshold
Perfect for screening - quickly scan multiple charts and the indicator only shows tables for stocks that pass your quality filter.
6. CUSTOM LEADER COMPARISON
Override automatic leader detection:
Compare to any ticker you choose
Benchmark against specific competitors
Use your own reference stocks
7. COMPREHENSIVE TOOLTIPS
Every input parameter and every table row has detailed tooltips explaining:
What the metric measures
How to interpret the values
What thresholds indicate strength/weakness
Why it matters for trading
Hover over any element to learn - it's like having a trading coach built in.
8. SMART ALERTS
Built-in alert system for key events:
Divergence Alerts:
Get notified when your stock diverges significantly from its sector.
Bullish Divergence: Stock beating sector by threshold percentage
Bearish Divergence: Stock losing to sector by threshold percentage
Set your threshold (default 5%) - this determines how big a divergence triggers the alert.
RS Score Alerts:
Get notified when RS Score crosses your threshold:
Crossed Above: RS Score went from below to above your threshold (bullish)
Crossed Below: RS Score dropped from above to below threshold (bearish)
Set your threshold (default 70) to focus on strong stocks.
Sector Rotation Alert:
Fires when sector shows bullish rotation (outperforming market).
HOW TO USE THE INDICATOR
FOR SWING TRADERS:
1. Add indicator to your watchlist stocks
2. Look for RS Score 70+ with Consistency 75%+
3. Check if sector rotation is bullish (bonus!)
4. Verify price is near 52W high (95%+)
5. Wait for entry setup on your chart
6. Use stop loss below key support
Example Setup:
Stock shows:
- RS Score: 82 (Grade: A-)
- Consistency: 100% (strong across all periods)
- Sector Rotation: Bullish
- Price vs 52W High: 96%
- Days Above Sector: 12 days
- Relative Volume: 1.8x
This is a textbook strong stock in a hot sector near highs - ideal for swing long.
FOR POSITION TRADERS:
1. Focus on 6-month and 1-year RS values
2. Look for sustained outperformance (Consistency 75%+)
3. Prefer lower Beta stocks (less volatility)
4. Check Days Above Sector for trend persistence
5. Monitor RS Score monthly, exit if drops below 60
FOR ACTIVE TRADERS:
1. Use on intraday timeframes (1H or 4H)
2. Set RS Score filter to 60+ for quick screening
3. Enable Divergence Alerts
4. Watch for momentum improving signal
5. Higher Beta stocks offer more movement
FOR SHORT SELLERS:
1. Look for RS Score below 40 (Grade: D or F)
2. Check for declining momentum
3. Verify Days Below Sector is increasing (10+)
4. Sector rotation should be bearish
5. Price should be well off 52W high
WHAT MAKES A PERFECT SETUP:
The holy grail combination:
RS Score: 75+ (A- or better)
Consistency: 80%+ (strong across time - beats sector AND industry)
Sector Rotation: Bullish (hot sector)
Industry vs Sector: Positive (hot industry within sector)
Days Above Sector: 10+ (sustained strength)
Momentum: Improving (getting stronger)
Price vs 52W High: 90%+ (near highs)
Relative Volume: 1.5x+ (volume confirmation)
When you find this combination, you've located a stock with every advantage in its favor - strong at the stock level, industry level, AND sector level. That's multi-level confirmation of relative strength.
IMPORTANT NOTES
Data Reliability:
All calculations use lookahead=off for anti-repaint protection
Historical values will never change
Real-time indicator toggle only affects the visual clock icon, not data reliability
All security requests are properly configured to prevent future data leakage
Sector Mapping Notes:
Sector detection uses TradingView's sector field
Some stocks may not have sector data - indicator will adapt
Sector ETFs used: XLK, XLF, XLV, XLE, XLY, XLP, XLI, XLB, XLRE, XLU, XLC
Major market ETFs (SPY, QQQ, DIA) are treated as market benchmarks, not stocks
Multi-Asset Notes:
Crypto compares to CRYPTOCAP:TOTAL (total crypto market cap)
Forex compares to relevant currency index based on base currency
Commodities compare to Gold (GLD) as primary commodity benchmark
Custom leaders can be set for any asset type
FREQUENTLY ASKED QUESTIONS
Q: What does RS Score of 75 actually mean?
A: It means your stock is strongly outperforming its sector across multiple timeframes. The score is weighted toward recent performance (1-month gets 40% weight), so 75 indicates sustained relative strength with emphasis on current momentum.
Q: My stock has high RS Score but is going down. Why?
A: RS Score measures relative performance (vs sector/market), not absolute price direction. A stock can fall 5% while its sector falls 10% - that's still positive relative strength. In bear markets or sector corrections, high RS stocks often fall less than peers.
Q: Should I only trade stocks with RS Score above 70?
A: For long positions, yes - focus on 70+ scores. These stocks have proven they can beat their sector. However, for pairs trading or relative value plays, you might also short stocks with scores below 40 while longing stocks above 70.
Q: What if my stock doesn't have a sector?
A: The indicator handles this gracefully. If no sector is detected, it will compare directly to the market (SPY for stocks). Some rows may show N/A, but the indicator will still provide useful market-relative data.
Q: Why does the sector sometimes show N/A?
A: This happens when: 1) Your asset has no sector classification, 2) The stock IS the sector ETF itself, 3) You're analyzing a non-stock asset (crypto, forex, commodity). The indicator adapts by focusing on market-relative metrics instead.
Q: Can I use this on cryptocurrencies?
A: Yes! The indicator automatically detects crypto and compares to the Total Crypto Market Cap (CRYPTOCAP:TOTAL). You can also set a custom leader like Bitcoin (BTCUSD) to compare against the dominant crypto.
Q: What's the difference between RS Score and Consistency?
A: RS Score is the weighted average of how much you're beating the sector (magnitude). Consistency is what percentage of time periods show outperformance (reliability). You want both high - that means strong AND consistent.
Q: Do the alerts repaint?
A: No. All alerts fire only on bar close (barstate.isconfirmed) and use properly configured data with lookahead=off. Once an alert fires, it's final and won't change.
Q: What timeframe should I use?
A: For swing trading: Daily or Weekly. For day trading: 1H or 4H. For position trading: Weekly. Use "Chart Timeframe" mode and switch your chart timeframe to change the analysis period easily.
Q: Why is Days Above Sector showing 0?
A: This means your stock is not currently outperforming its sector. If Days Below Sector is also 0, it means the RS is exactly neutral (very rare). Check the actual RS values to see current standing.
Q: Can I compare to a different market benchmark than SPY?
A: Currently the indicator uses SPY (S&P 500) as the default US stock market benchmark. For crypto it uses CRYPTOCAP:TOTAL, for forex it uses currency indices, etc. The benchmark auto-adjusts based on asset type.
Q: What's a good Beta value?
A: It depends on your strategy. Aggressive traders prefer Beta above 1.2 (more volatility = bigger moves). Conservative traders prefer Beta 0.8-1.0 (more stable). Beta is neutral - it's about matching your risk tolerance.
Q: How often does the table update?
A: With Real-time Indicator enabled: Every tick (constant updates). With it disabled: Only on bar close. Either way, the underlying data is identical and non-repainting - the toggle only affects update frequency and the clock icon display.
Q: My stock is showing "AVOID" but it's up 50% this year. Is the indicator wrong?
A: Not necessarily. The indicator measures RELATIVE performance. If your stock is up 50% but the sector is up 100%, your stock is actually underperforming by 50%. The indicator helps you identify when you should switch to stronger stocks in the same sector.
Q: What does "Strong Buy Setup" really mean?
A: It means three things aligned: 1) RS Score above 70 (strong stock), 2) Consistency above 75% (reliable strength), 3) Sector rotation is bullish (hot sector). This combination historically correlates with stocks that continue outperforming. However, this is NOT financial advice - always do your own analysis.
Q: Can I use this for options trading?
A: Yes! High RS Score stocks make good candidates for call options (bullish bets) while low RS Score stocks may work for puts (bearish bets). Higher Beta stocks will have more volatile options (higher premiums but more movement).
Q: Why is my crypto showing N/A for sector?
A: Cryptocurrencies don't have "sectors" like stocks do. Instead, the indicator compares crypto to the total crypto market cap. This is normal and expected behavior.
Q: What happens if I'm analyzing an ETF?
A: If you're analyzing a sector ETF (like XLK), it will compare to SPY (market). If you're analyzing SPY itself, some comparisons won't be available (can't compare SPY to itself). The indicator intelligently adapts to avoid circular comparisons.
Q: What if my stock doesn't have industry data?
A: Not all stocks are mapped to specific industries (only 30+ major industries are covered). If no industry is detected, the indicator will still work using only sector analysis. The RS Score calculation will use 100% sector weight instead of the 60%/40% split.
Q: Why does Industry vs Sector matter?
A: Industry vs Sector shows if your specific industry is hot or cold within its broader sector. For example, Semiconductors (SMH) might be outperforming Technology sector (XLK) even though both are up. This helps you find not just strong sectors, but the strongest industries within those sectors.
Q: Can I disable Industry analysis?
A: Yes! In the "Industry Analysis" settings group, you can toggle off "Show Industry Analysis in Table" to hide all industry rows. However, even when hidden, industry data still contributes to the RS Score calculation for stocks.
Q: Why is my Consistency Score lower for stocks than other assets?
A: For stocks with industry data, Consistency counts 8 periods (4 Sector + 4 Industry periods) instead of just 4. This means the bar is higher - your stock needs to beat both sector AND industry consistently. A stock that beats sector in all 4 periods but lags industry in 2 periods will show 75% consistency (6/8), not 100%.
BEST PRACTICES
Use as a screening tool - Set RS Score filter to 70+ and quickly scan your watchlist. Only strong stocks will show the table.
Combine with technical analysis - RS Score tells you WHAT to trade, your chart tells you WHEN to enter.
Check multiple timeframes - Switch between Daily and Weekly to see if strength holds across different time horizons.
Monitor sector rotation - When sector goes from bearish to bullish rotation, it's often a great time to enter stocks in that sector.
Watch Industry vs Sector - Stocks in hot industries within hot sectors have double tailwinds. Prioritize Industry vs Sector positive values.
Pay attention to consistency - High RS Score with low consistency might be a spike that fades. Look for 70%+ consistency across BOTH sector and industry.
Use the leader comparison - If your stock consistently beats both sector leader AND industry leader, you may have found the next champion.
Watch days above/below sector - Long streaks (15+ days) indicate strong trends. Look for these in conjunction with high RS Score.
Set alerts on key stocks - Enable RS Score alerts at 70 threshold to get notified when watchlist stocks become strong.
Consider Beta for position sizing - Size smaller positions in high Beta stocks, larger in low Beta stocks for balanced risk.
Exit when RS Score drops - If a stock's RS Score falls below 60, consider reducing or exiting - the strength may be fading.
Leverage industry-level insight - If Industry ETF is weak but stock is strong, that's standout strength. If Industry is hot but stock is lagging, consider switching to the industry leader instead.
SETTINGS EXPLAINED
Display Settings:
Show Performance Table - Master on/off switch for the table
Table Position - 9 positions available (corners, edges, center)
Table Size - 4 sizes (tiny, small, normal, large) for different screen sizes
Timeframe Settings:
Chart Timeframe (recommended) - Dynamic, uses whatever chart TF you're on
Fixed Timeframes - Locks analysis to 1H, 4H, Daily, or Weekly regardless of chart
Filtering Settings:
Minimum RS Score - Set threshold (0-100) for displaying table
Show Warning - When enabled, displays message if stock doesn't meet filter
Alert Settings:
Divergence Alerts - Enable alerts when stock diverges from sector
Threshold (%) - How big a divergence triggers alert (default 5%)
RS Score Alerts - Enable alerts when RS Score crosses threshold
Threshold - What RS Score level triggers alert (default 70)
Sector Analysis Settings:
Use Custom Sector ETF - Override automatic sector ETF detection
Sector ETF Symbol - Enter any sector ETF to compare against
Use Custom Sector Leader - Override automatic sector leader detection
Sector Leader Symbol - Enter any ticker as sector leader
Industry Analysis Settings:
Use Custom Industry ETF - Override automatic industry ETF detection
Industry ETF Symbol - Enter specific industry ETF (e.g., IGV, SMH)
Use Custom Industry Leader - Override automatic industry leader detection
Industry Leader Symbol - Enter specific industry leader
Show Industry Analysis - Toggle all industry rows on/off
Display Settings:
Show Real-time Indicator - Toggle clock icon in header (doesn't affect data)
WHAT THIS INDICATOR DOESN'T DO
To set proper expectations:
Does NOT provide entry/exit signals - this is a strength analyzer, not a trading system
Does NOT predict future price movement - shows current and historical relative strength
Does NOT guarantee profits - strong RS stocks can still decline
Does NOT replace your own analysis - use as one tool among many
Does NOT work on stocks with no sector data - will adapt but some rows show N/A
This indicator is a decision support tool . It helps you identify which stocks are showing relative strength so you can make more informed trading decisions. You still need your own entry strategy, risk management, and position sizing rules.
SUPPORT & CONTACT
Questions or feedback? Use the comments section below or send me a message.
If you find this indicator useful, please give it a boost and share with other traders who might benefit from relative strength analysis.
FINAL REMINDER
This indicator is a tool for analyzing relative strength - it shows you which stocks are outperforming their sector and market. It does NOT provide financial advice or trade signals. Always conduct your own research, manage your risk appropriately, and consult with a financial advisor before making investment decisions.
Past performance of relative strength does not guarantee future results. Strong stocks can become weak, and sectors rotate in and out of favor. Use this indicator as part of a comprehensive trading strategy, not as a standalone decision-making system.
Trade smart, manage risk, and may your RS Scores stay high!
If you got till here and you like my work a BOOST and a COMMENT would make me happy
DTC - 1.3.6 DTC Trading ClubDTC – 1.3.6 | Advanced Multi-Timeframe Trend & Algo Trading System
Version: 1.3.6
Platform: TradingView
Category: Trend Following | Algo Automation | EMA-Based System
⚙️ 1. Algo Trading Integration (NEW FEATURE)
The DTC 1.3.6 system bridges TradingView charts and MT4/MT5 execution through PineConnector for full trade automation.
This allows signals generated by the indicator to instantly execute trades on your broker account using your unique Trading UID.
Purpose & Justification:
Many traders rely on chart-based strategies but struggle with delayed manual execution. The Algo module removes this limitation by automating execution directly from the chart while retaining full user control. This makes it particularly useful for systematic traders who want precision, consistency, and hands-off operation.
Key Features:
🔑 Trading UID Input: Enter your PineConnector UID (e.g., 88888999) for authenticated trade routing.
📊 Auto-Formatted Trade Message: All signals are converted into PineConnector-ready format:
88888999, buy, EURUSD, risk=0.01, comment=DTCAlgoMT4/MT5
⚙️ Full Customization: Users decide every aspect of execution — direction, position risk, TP/SL handling, signal triggers, comments, and automation level.
Practical Example:
If a Bullish EMA alignment occurs on EURUSD while the ATR filter confirms valid volatility, the Algo instantly sends a buy order to MT4/MT5 with all trade parameters defined in TradingView — enabling disciplined, automated execution without delay.
Requirements:
TradingView paid plan (for webhook automation)
PineConnector account (free tier supported)
Once connected, the DTC system becomes a fully autonomous trading solution, handling entries, exits, and TP/SL management in real-time.
📈 2. Multi-Timeframe Trend Dashboard
This feature provides an at-a-glance overview of market bias across key timeframes (1H–Monthly), powered by the EMA 30 vs EMA 60 trend structure.
Purpose & Justification:
Instead of switching between multiple charts, traders can instantly see the dominant market direction across all major timeframes. This prevents counter-trend trades and encourages entries that align with broader market momentum.
Dashboard Highlights:
Customizable position (top/bottom left/right)
Adjustable text size for clarity
Displays active trend for 1H, 4H, Daily, Weekly, and Monthly
Shows Unrealized PnL of the current open position
Displays ATR Filter Status (Active/Inactive with color coding)
Practical Example:
A trader sees a Bullish signal on the 1H chart, but the dashboard shows Bearish trends on higher timeframes — indicating possible short-term pullback rather than a trend reversal. This cross-timeframe awareness improves decision quality.
💹 3. EMA Trend System
At the core of DTC lies a 6-layer EMA engine (30–60) designed to identify strong, sustained market trends with minimal lag.
Logic:
Bullish: EMA 30 > 35 > 40 > 45 > 50 > 60
Bearish: EMA 30 < 35 < 40 < 45 < 50 < 60
Purpose & Justification:
Unlike simple two-EMA systems, this multi-layer method filters out temporary volatility and confirms trend stability before triggering signals. It forms the foundation upon which all other modules (signals, dashboard, algo, and volatility filter) operate.
🚦 4. Buy/Sell Signal Engine
Signals are automatically generated when EMA layers achieve full alignment — a clear confirmation of market direction change.
Conditions:
🟢 Buy Signal: Bearish/Neutral → Bullish alignment
🔴 Sell Signal: Bullish/Neutral → Bearish alignment
Signals appear as chart markers and can trigger PineConnector automation.
Purpose & Justification:
This systematic approach removes emotional decision-making and allows traders to execute only when objective technical conditions are met. It ensures that trades align with verified EMA-based momentum, not short-term price noise.
🎯 5. Dynamic TP/SL and Entry Visualization
Every trade signal comes with a structured plan:
Entry, Stop-Loss, and seven Take-Profit levels
Accurate price labels and color-coded zones
Customizable SL modes: Tiny, Small, Mid, or Large
Purpose & Justification:
Visual clarity is vital for risk control. The indicator presents all levels directly on the chart, so traders instantly see potential reward-to-risk scenarios and manage trades with confidence. These levels also integrate seamlessly with PineConnector automation for direct execution.
📊 6. ATR Volatility Filter
The ATR (Average True Range) module filters low-quality setups during flat or choppy markets.
Mechanics:
Adjustable ATR period and multiplier
Filters weak signals when volatility drops below threshold
Purpose & Justification:
ATR adds a volatility-based confirmation layer to the EMA logic. For instance, if EMAs align but ATR volatility is below the active threshold, no trade is executed — reducing false signals during quiet sessions. When ATR exceeds the threshold, trades are allowed, improving accuracy and overall system efficiency.
Example:
During a ranging session on GBPUSD, EMAs may align briefly, but low ATR prevents a false breakout entry. Once volatility returns, the same logic allows a valid trade — demonstrating how ATR integrates into the system to maintain trade quality.
🎨 7. EMA Cloud Visualization
The EMA Cloud fills the area between EMA 30 and EMA 60 to visualize momentum strength and transitions.
🟩 Green cloud → Bullish bias
🟥 Red cloud → Bearish bias
Purpose & Justification:
This feature provides immediate visual cues for traders to identify trend continuation or potential reversal zones. It reinforces the EMA Trend System, ensuring that market structure and momentum remain visually synchronized.
🧭 8. Full Customization Control
DTC 1.3.6 allows traders to tailor every aspect of their experience:
Enable/disable components such as Algo, Dashboard, TP/SL, and Cloud
Modify color themes, layouts, and text sizes
Adjust to suit manual or automated trading preferences
Purpose & Justification:
Different traders have different workflows. By allowing total flexibility, DTC can adapt to short-term scalping, swing trading, or long-term automation setups without performance compromise.
✅ Summary
DTC 1.3.6 is a professional-grade, multi-layer trading system that integrates EMA-based trend detection, volatility filtering, dashboard visualization, and algo automation into one cohesive tool.
Each module contributes to a unified goal — identifying high-probability market conditions, confirming them through volatility, and executing with precision.
This system is Invite-Only because it represents a complete, ready-to-deploy professional framework — not a single indicator — and requires responsible use of automation features that directly impact live trading accounts.
DTC = Smart Visuals + Total Control + True Automation.
⚠️ Disclaimer
This indicator is for educational and research purposes only.
The DTC Team, developers, and affiliates do not provide financial advice and assume no responsibility for profits or losses from its use.
Trading involves substantial risk.
Past performance is not indicative of future results.
Users should test thoroughly on demo accounts, perform independent analysis, and consult a licensed financial advisor before live trading.
By using this tool, you acknowledge that all actions are taken at your own risk and that the DTC Team bears no liability for any outcomes.
MACD Divergence Optimizer# MACD Divergence Optimizer - User Guide
## Overview
The **MACD Divergence Optimizer** is a professional-grade technical analysis indicator for TradingView that automatically detects hidden divergences on MACD with volume weighting. It identifies potential reversal points before price action confirms the move, giving traders an early edge.
---
## What is Divergence?
A **divergence** occurs when price and an oscillator (like MACD) move in opposite directions:
- **Bullish Divergence**: Price makes a lower low, but MACD makes a higher low → Potential uptrend reversal
- **Bearish Divergence**: Price makes a higher high, but MACD makes a lower high → Potential downtrend reversal
Divergences are among the most reliable reversal signals in technical analysis.
---
## Indicator Features
### Volume-Weighted MACD
- Standard MACD is calculated on closing price
- This indicator uses **volume-weighted closing prices** for greater accuracy
- Formula: MACD = (Volume-Weighted EMA₁₂ - Volume-Weighted EMA₂₆)
- Volume weighting gives more importance to high-conviction price moves
### Automatic Swing Detection
- Detects local highs and lows (5-bar lookback)
- Tracks the last 5 swings for divergence analysis
- Only meaningful swings are tracked (filtered for noise)
### Smart Signal Generation
- Green triangle (▲) = Bullish Divergence (BUY signal)
- Red triangle (▼) = Bearish Divergence (SELL signal)
- Triangles appear directly on the MACD line for precise entry timing
### Built-in Alerts
- Real-time notifications for divergence signals
- Alerts can trigger mobile push notifications or sound
- Never miss a trading opportunity
---
## How to Use
### Installation
1. Open TradingView and navigate to the Chart
2. Click "Indicator" → Search "MACD Divergence Optimizer"
3. Click "Add to Chart"
4. The indicator appears in a separate panel below the price chart
### Reading the Indicator
**MACD Panel displays:**
- **Blue Line** = MACD (fast momentum)
- **Orange Line** = Signal line (slow momentum)
- **Histogram** (colored bars) = Difference between MACD and Signal
- Green bars = MACD above signal (bullish)
- Red bars = MACD below signal (bearish)
**Divergence Signals:**
- **Green Triangle ▲** = Bullish divergence detected
- Price is lower, but MACD momentum is strengthening
- Look for uptrend reversal
- Confirm with higher closes or volume
- **Red Triangle ▼** = Bearish divergence detected
- Price is higher, but MACD momentum is weakening
- Look for downtrend reversal
- Confirm with lower closes or selling volume
---
## Parameters & Settings
### MACD Fast Length (Default: 12)
- Controls the faster moving average period
- **Lower values** → More responsive, more false signals
- **Higher values** → Smoother, fewer signals
- **Typical range**: 8-15
### MACD Slow Length (Default: 26)
- Controls the slower moving average period
- **Lower values** → Faster divergence detection
- **Higher values** → More reliable, fewer signals
- **Typical range**: 20-35
### Signal Smoothing (Default: 9)
- EMA period applied to MACD itself
- **Lower values** → Faster crossover signals
- **Higher values** → Fewer false crossovers
- **Typical range**: 5-15
### Min Divergence Strength (Default: 0.5%)
- Minimum % difference between current MACD and swing MACD
- **Lower values** → More divergence signals (noisier)
- **Higher values** → Only strong divergences (fewer signals)
- **Recommended**: 0.3% - 1.0%
### Lookback Bars (Default: 75)
- Historical window for analysis
- Larger lookback = more context but slower calculation
- **Typical range**: 50-100
---
## Trading Strategy
### Bullish Divergence (Entry Setup)
1. **Identify Signal**: Green triangle appears on MACD
2. **Confirm Price**: Look for price rejection of the low (bounce)
3. **Volume Check**: Buy on increase in volume at the bounce
4. **Entry**: Above the swing low level
5. **Stop Loss**: Below the most recent swing low
6. **Target**: Next swing high or resistance level
### Bearish Divergence (Entry Setup)
1. **Identify Signal**: Red triangle appears on MACD
2. **Confirm Price**: Look for price rejection of the high
3. **Volume Check**: Sell on increase in volume at rejection
4. **Entry**: Below the swing high level
5. **Stop Loss**: Above the most recent swing high
6. **Target**: Next swing low or support level
### Risk Management
- **Position Size**: Risk only 1-2% per trade
- **Stop Loss**: Place beyond recent swings
- **Take Profit**: Scale out at 1:1, 1:2, 1:3 risk-reward ratios
- **Filter**: Use on higher timeframes (4H, Daily) for reliability
---
## Timeframe Recommendations
| Timeframe | Best For | Signal Quality |
|-----------|----------|---|
| **1H** | Scalping, day trading | Moderate (some noise) |
| **4H** | Swing trading | Excellent |
| **Daily** | Position trading | Excellent |
| **Weekly** | Long-term trends | Excellent |
---
## Tips & Best Practices
### ✅ DO:
- **Use on trends**: Divergences work best when there's a clear trend
- **Combine signals**: Look for confirmation from price action, volume, or moving averages
- **Trade the bounce**: Wait for price to react to the swing, then enter
- **Adjust parameters**: Test different MACD lengths for your trading style
- **Use alerts**: Set up mobile alerts so you don't miss signals
### ❌ DON'T:
- **Trade every signal**: Some signals are stronger than others
- **Trade flat/choppy markets**: Divergences fail in ranging markets
- **Ignore support/resistance**: Trade divergences near key levels for best results
- **Over-leverage**: Divergences are probabilistic, not guaranteed
- **Disable volume analysis**: Always check volume when divergence fires
---
## Advanced Features
### Volume Weighting
The indicator uses **volume-weighted MACD** instead of standard MACD. This means:
- High-volume reversals get more emphasis
- Low-volume moves are smoothed out
- More accurate momentum readings
- Better at identifying true trend changes
### Array Tracking
The indicator tracks the last 5 swings in arrays:
- `swingLows ` = last 5 price lows
- `swingHighs ` = last 5 price highs
- `swingMacds ` = corresponding MACD values
This allows detection of **hidden divergences** not visible in traditional analysis.
---
## Common Questions
**Q: Why didn't the indicator trigger a signal when I see a divergence?**
A: The indicator may require:
- MACD histogram to cross the zero line (confirms momentum shift)
- Minimum strength threshold to be met (adjust Min Divergence Strength)
- At least 5 swings to be recorded in the lookback window
**Q: Can I use this on all timeframes?**
A: Yes, but divergences are more reliable on higher timeframes (4H+). Lower timeframes produce more signals but with more noise.
**Q: Should I trade every green/red triangle?**
A: No. Use them as a heads-up for potential reversals. Always confirm with:
- Price action (rejection of the swing)
- Volume (increasing volume at reversal)
- Key support/resistance levels
**Q: How do I set alerts?**
A:
1. Right-click the indicator → Edit Alerts
2. Check "Bullish Divergence" and/or "Bearish Divergence"
3. Choose notification type (browser, mobile, email)
4. Set frequency to "Once per bar close"
**Q: What's the difference between regular and hidden divergence?**
A: This indicator detects **hidden divergences** (also called continuation divergences):
- **Regular**: Price makes new extreme, but oscillator doesn't
- **Hidden**: Price makes new extreme, oscillator makes new extreme in different direction
- Hidden divergences are often more reliable for continuation plays
---
## Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always use proper risk management and combine with other analysis methods. Trading and investing carry risk of loss. Do your own research before making trading decisions.
---
## Support & Updates
For issues, feature requests, or questions:
- Check the indicator settings and parameter values
- Test on historical data first before live trading
- Adjust parameters to match your trading style and timeframe
---
**Version**: 1.0
**Last Updated**: November 2025
**Compatible**: TradingView v6+
chanlun缠论 - 笔与中枢Overview
The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones.
Theoretical Foundation
Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures:
Local Extremes: Swing highs and lows identified through lookback periods
Strokes (笔): Valid price movements between opposite extremes that meet specific criteria
Central Hubs (中枢): Consolidation zones formed by overlapping strokes, representing key support/resistance areas
Key Components
1. Local Extreme Detection
Identifies swing highs and lows using a configurable lookback period (default: 5 bars)
Only considers extremes within the specified calculation range
Forms the foundation for stroke construction
2. Stroke (笔) Identification
The indicator applies a multi-stage filtering process to identify valid strokes:
Stage 1 - Extreme Consolidation:
Merges consecutive extremes of the same type (high or low)
Keeps only the most extreme value (highest high or lowest low)
Stage 2 - Stroke Validation:
Ensures minimum bar gap between strokes (default: 4 bars)
Alternative validation: 2+ bars with >1% price change
Eliminates noise and insignificant price movements
Color Coding:
White Lines: Regular up/down strokes
Yellow Lines: Strokes that form part of a central hub
Customizable width and colors for different stroke types
3. Central Hub (中枢) Formation
A central hub forms when at least 3 consecutive strokes have overlapping price ranges:
Formation Rules:
Stroke 1:
Stroke 2:
Stroke 3:
Hub Upper = MIN(High1, High2, High3)
Hub Lower = MAX(Low1, Low2, Low3)
Valid if: Hub Upper > Hub Lower
Hub Extension:
Subsequent strokes that overlap with the hub extend it
Hub ends when a stroke no longer overlaps
Creates rectangular zones on the chart
Visual Representation:
Green rectangular boxes: Mark the time and price range of each central hub
Dashed extension lines: Show the latest hub boundaries extending to the right
Price labels on axis: Display exact hub upper and lower boundary values
4. Extreme Point Markers (Optional)
Red markers for tops (▼)
Green markers for bottoms (▲)
Marks every validated stroke extreme point
Useful for detailed structure analysis
5. Information Table (Optional)
Displays real-time statistics:
Symbol name
Current timeframe
Lookback period setting
Minimum gap setting
Total stroke count
Parameter Settings
Performance Settings
Max Bars to Calculate (3600): Limits historical calculation to improve performance
Local Extreme Lookback Period (5): Bars used to identify swing highs/lows
Min Gap Bars (4): Minimum bars required between valid strokes
Display Settings
Show Strokes: Toggle stroke line visibility
Show Central Hub: Toggle hub box visibility
Show Hub Extension Lines: Toggle dashed boundary lines
Show Extreme Point Marks: Toggle top/bottom markers
Show Info Table: Toggle statistics table
Color Settings
Full customization of:
Up/down stroke colors and widths
Hub stroke colors and widths
Hub border and background colors
Extension line colors
Trading Applications
Trend Structure Analysis
Uptrend: Series of higher highs and higher lows connected by strokes
Downtrend: Series of lower highs and lower lows connected by strokes
Consolidation: Formation of central hubs indicating range-bound movement
Support and Resistance Identification
Central Hub Zones: Act as strong support/resistance areas
Hub Upper Boundary: Resistance level in consolidation, support after breakout
Hub Lower Boundary: Support level in consolidation, resistance after breakdown
Price tends to react at these levels due to market structure memory
Breakout Trading
Bullish Breakout: Price closes above hub upper boundary
Previous resistance becomes support
Entry on retest of upper boundary
Stop loss below hub zone
Bearish Breakdown: Price closes below hub lower boundary
Previous support becomes resistance
Entry on retest of lower boundary
Stop loss above hub zone
Reversal Detection
Hub Formation After Trend: Signals potential trend exhaustion
Multiple Hub Levels: Create probability zones for reversals
Stroke Count: Excessive strokes within hub suggest weakening momentum
Position Management
Use hub boundaries for stop loss placement
Scale out positions at hub edges
Re-enter on retests of broken hub levels
Interpretation Guide
Strong Trending Market
Long, clear strokes with minimal overlap
Few or no central hubs forming
Strokes consistently in same direction
Wide spacing between extremes
Consolidating Market
Multiple central hubs forming
Short, overlapping strokes
Yellow hub strokes dominate the chart
Narrow price range
Trend Transition
Hub formation after extended trend
Stroke direction changes frequently
Hub boundaries being tested repeatedly
Potential reversal zone
Advanced Usage Techniques
Multi-Timeframe Analysis
Higher Timeframe: Identify major hub zones for overall market structure
Lower Timeframe: Find precise entry points within larger structure
Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks
Hub Quality Assessment
Wide Hubs: Strong consolidation, higher probability support/resistance
Narrow Hubs: Weak consolidation, may break easily
Extended Hubs: More strokes = stronger zone
Isolated Hubs: Single hub = potential pivot point
Stroke Analysis
Stroke Length: Longer strokes = stronger momentum
Stroke Speed: Fewer bars per stroke = explosive moves
Stroke Clustering: Many short strokes = indecision
Best Practices
Parameter Optimization
Adjust lookback period based on timeframe and volatility
Lower periods (3-4): More strokes, more noise, faster signals
Higher periods (7-10): Fewer strokes, cleaner structure, slower signals
Confirmation Strategy
Don't trade on strokes alone
Combine with volume analysis
Use candlestick patterns at hub boundaries
Wait for breakout confirmation
Risk Management
Always place stops outside hub zones
Use hub width to size positions (wider hub = smaller position)
Exit if price re-enters broken hub from wrong direction
Avoid Common Pitfalls
Don't trade within central hubs (range-bound, unpredictable)
Don't ignore higher timeframe hub structures
Don't chase strokes after they've extended far from hub
Don't trust single-stroke hubs (need 3+ strokes for validity)
Performance Considerations
Max Bars Limit: Set to 3600 to balance detail with performance
Safe Distance Calculation: Only draws objects within 2000 bars of current price
Object Cleanup: Automatically removes old drawing objects to prevent memory issues
Efficient Arrays: Uses indexed arrays for fast lookup and processing
Ideal Market Conditions
Best Performance:
Liquid markets with clear structure (major forex pairs, indices, large-cap stocks)
Trending markets with periodic consolidations
Medium to high volatility for clear stroke formation
Less Effective:
Extremely choppy, directionless markets
Very low timeframes (< 5 minutes) with excessive noise
Illiquid instruments with erratic price action
Integration with Other Indicators
Complementary Tools:
Volume Profile: Confirm hub significance with volume nodes
Moving Averages: Use for trend bias within stroke structure
RSI/MACD: Momentum confirmation at hub boundaries
Fibonacci Retracements: Hub levels often align with Fib levels
Advantages
✓ Objective Structure: Removes subjectivity from market structure analysis
✓ Visual Clarity: Color-coded strokes and clear hub zones
✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months
✓ Complete Framework: Provides entry, exit, and risk management levels
✓ Theoretical Foundation: Based on proven Chan Theory methodology
✓ Customizable: Extensive parameter and visual customization options
Limitations
⚠ Learning Curve: Requires understanding of Chan Theory principles
⚠ Lag Factor: Strokes confirm after price movements complete
⚠ Parameter Sensitivity: Different settings produce significantly different results
⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions
⚠ Computation Intensive: May slow down on lower-end systems with max bars setting
Optimization Tips
Timeframe Selection
Scalping: 5-15 minute charts, lookback period 3-4
Day Trading: 15-60 minute charts, lookback period 4-5
Swing Trading: 4-hour to daily charts, lookback period 5-7
Position Trading: Daily to weekly charts, lookback period 7-10
Volatility Adjustment
High volatility: Increase minimum gap bars to reduce noise
Low volatility: Decrease lookback period to capture smaller moves
Visual Optimization
Use contrasting colors for different market conditions
Adjust line widths based on chart resolution
Toggle markers off for cleaner appearance once familiar with structure
Quick Start Guide
For Beginners:
Start with default settings (5 lookback, 4 min gap)
Enable "Show Info Table" to track stroke count
Focus on identifying clear hub formations
Practice waiting for price to break hub boundaries before trading
For Advanced Users:
Optimize lookback and gap parameters for your instrument
Use hub strokes (yellow) to identify key consolidation zones
Combine with multiple timeframes for confirmation
Develop entry rules based on hub breakout/retest patterns
This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Pressure Pivots - MPIPressure Pivots - MPI
A multi-factor reversal detection system built on a proprietary Market Pressure Index (MPI) that combines institutional order flow analysis, liquidity dynamics, and momentum exhaustion to identify high-probability pivot points with automated win rate validation.
What This System Does
This indicator solves the core challenge of reversal trading: distinguishing genuine exhaustion pivots from temporary retracements. It combines six independent detection mechanisms—divergence, liquidity sweeps, order flow imbalance, wick rejection, volume surges, and velocity exhaustion—weighted by reliability and unified through a custom pressure oscillator.
Three-Layer Architecture:
Layer 1 - Market Pressure Index (MPI): Proprietary volume-weighted pressure oscillator that measures buying vs. selling pressure using proportional intrabar allocation and dual-timeframe normalization (-1.0 to +1.0 range).
Layer 2 - Weighted Confluence Engine: Six detection factors scored hierarchically (divergence: 3.0 pts, liquidity: 2.5 pts, order flow: 2.0 pts, velocity: 1.5 pts, wick: 1.5 pts, volume: 1.0 pt). Premium signals (DIV/LIQ/OF) require 6.0+ score, standard signals (STD) require 4.0+ score.
Layer 3 - Automated Win Rate Validation: Every signal tracked forward and validated against actual pivot formation within 10-bar window. Real-time performance statistics displayed by signal type and direction.
The Market Pressure Index - Original Calculation
What MPI Measures: The balance of aggressive buying vs. aggressive selling within each bar, smoothed and normalized to create a continuous oscillator.
Calculation Methodology:
Step 1: Intrabar Pressure Decomposition
Buy Pressure = Volume × (Close - Low) / (High - Low)
Sell Pressure = Volume × (High - Close) / (High - Low)
Net Pressure = Buy Pressure - Sell Pressure
Step 2: Exponential Smoothing
Smooth Pressure = EMA(Net Pressure, 14)
Step 3: Normalization
Avg Absolute Pressure = SMA(|Net Pressure|, 28)
MPI Raw = Smooth Pressure / Avg Absolute Pressure
Step 4: Sensitivity Amplification
MPI = clamp(MPI Raw × 1.5, -1.0, +1.0)
Why This Is Different:
• vs. RSI: RSI measures price momentum without volume context. MPI integrates volume magnitude and distribution within each bar.
• vs. OBV: OBV uses binary classification (up bar = buy volume). MPI uses proportional allocation based on close position within range.
• vs. Money Flow Index: MFI uses typical price × volume. MPI uses intrabar positioning, revealing pressure balance regardless of bar-to-bar movement.
• vs. VWAP: VWAP shows average price. MPI shows directional pressure balance (who controls the bar).
MPI Interpretation:
• +0.7 to +1.0: Extreme buying pressure (strong uptrends, potential exhaustion)
• +0.3 to +0.7: Moderate buying pressure (healthy uptrends)
• -0.3 to +0.3: Neutral/balanced (ranging, consolidation)
• -0.7 to -0.3: Moderate selling pressure (healthy downtrends)
• -1.0 to -0.7: Extreme selling pressure (strong downtrends, potential exhaustion)
Critical Insight: MPI at extremes indicates pressure exhaustion risk , not automatic reversal. Reversals occur when extreme MPI coincides with confluence factors.
Six Confluence Factors - Detection Arsenal
1. Divergence Detection (Weight: 3.0 - Highest Priority)
Detects: Price making higher highs while MPI makes lower highs (bearish), or price making lower lows while MPI makes higher lows (bullish).
Why It Matters: Reveals weakening pressure behind price moves. Declining participation signals potential reversal.
Signal Type: Premium (DIV) - Historically highest win rates.
2. Liquidity Sweep Detection (Weight: 2.5)
Detects: Price penetrates recent swing high/low (triggering stops), then immediately reverses and closes back inside range.
Calculation: High breaks swing high by <0.3× ATR but closes below it (bearish), or low breaks swing low by <0.3× ATR but closes above it (bullish).
Why It Matters: Stop hunts mark institutional accumulation/distribution zones. Often pinpoints exact pivot points.
Signal Type: Premium (LIQ) - Extremely reliable with volume confirmation.
3. Order Flow Imbalance (Weight: 2.0)
Detects: Aggressive directional ordering where price consistently closes in upper/lower third of bars with elevated volume.
Calculation:
Close Position = (Close - Low) / (High - Low)
Aggressive Buy = Volume when Close Position > 0.65
Aggressive Sell = Volume when Close Position < 0.35
Imbalance = EMA(Aggressive Buy, 5) - EMA(Aggressive Sell, 5)
Strong Flow = |Imbalance| > 1.5 × Average
Why It Matters: Reveals institutional accumulation/distribution footprints before directional moves.
Signal Type: Premium (OF)
4. Wick Rejection Patterns (Weight: 1.5)
Detects: Pin bars, hammers, shooting stars where wick exceeds 60% of total bar range.
Why It Matters: Large wicks demonstrate failed attempts to push price, indicating strong opposition.
5. Volume Spike Detection (Weight: 1.0)
Detects: Volume exceeding 2× the 20-bar average.
Why It Matters: Confirms institutional participation vs. retail noise. Most effective when combined with wick rejection or liquidity sweeps.
6. Velocity Exhaustion (Weight: 1.5)
Detects: Parabolic moves (velocity >2.0× ATR over 3 bars) showing deceleration while MPI at extremes.
Calculation:
Velocity = Change(Close, 3) / ATR(14)
Exhaustion = |Velocity| > 2.0 AND MPI > |0.5| AND Velocity Slowing
Why It Matters: Extended moves are unsustainable. Momentum deceleration from extremes precedes reversals.
Signal Classification & Scoring
Weighted Confluence Scoring:
Each factor contributes points when present. Signals fire when total score exceeds thresholds:
Bearish Example:
+ At recent high (1.0)
+ Bearish divergence (3.0)
+ Wick rejection (1.5)
+ Volume spike (1.0)
+ Velocity slowing (1.5)
= 8.0 total score → BEARISH DIV SIGNAL
Bullish Example:
+ At recent low (1.0)
+ Liquidity sweep (2.5)
+ Strong buy flow (2.0)
+ Wick rejection (1.5)
= 7.0 total score → BULLISH LIQ SIGNAL
Dual Threshold System:
• Premium Signals (DIV/LIQ/OF): Require 6.0+ points. Must include divergence, liquidity sweep, or order flow. Higher win rates.
• Standard Signals (STD): Require 4.0+ points. No premium factors. More frequent, moderate win rates.
Visual Signal Color-Coding:
• Purple Triangle: DIV (Divergence signal)
• Orange Triangle: LIQ (Liquidity sweep signal)
• Aqua Triangle: OF (Order flow signal)
• Red/Green Triangle: STD (Standard signal)
• Yellow Diamond: Warning (setup forming, not confirmed)
Warning System - Early Alerts
Yellow diamond warnings fire when 2+ factors present but full confluence not met:
• At recent 10-bar high/low
• Wick rejection present
• Volume spike present
• MPI extreme or accelerating/decelerating
Critical: Warnings are NOT trade signals. They indicate potential setups forming. Wait for colored triangle confirmation.
Win Rate Validation - Transparent Performance Tracking
How It Works:
Signal Storage: Every signal recorded (bar index, price, type, direction)
Pivot Confirmation: System monitors next 10 bars for confirmed pivot formation at signal price (±2%)
Validation: If pivot forms within window → Win. If not → Loss.
Statistics: Win Rate = Validated Signals / Total Mature Signals × 100
Dashboard Displays:
• Overall win rate with visual bar
• Bearish signal win rate
• Bullish signal win rate
• Win rate by signal type (DIV/LIQ/OF/STD)
• Wins/Total for each category
Why This Matters:
After 30-50 signals, you'll know exactly which patterns work on your instrument:
Example Performance Analysis:
Overall: 58% (35/60)
Bearish: 52% | Bullish: 65%
DIV: 72% | LIQ: 68% | OF: 50% | STD: 38%
Insight: Focus on bullish DIV/LIQ signals (72%/68% win rate), avoid STD signals (38%), investigate bearish underperformance.
This transforms the indicator from signal generator to learning system.
Dynamic Microstructure Visualization
Fibonacci Retracement Levels
• Auto-detects last swing high + swing low
• Draws 11 levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%, 200%, 261.8%
• Removes crossed levels automatically
• Clears on new signal (fresh structure analysis)
• Color gradient (bullish to bearish across range)
• Key levels (0.618, 0.5, 1.0) highlighted with solid lines
Support/Resistance Lines
• Resistance: 50-bar highest high (red, only shown when above price)
• Support: 50-bar lowest low (green, only shown when below price)
• Auto-removes when price crosses
Usage: Signals firing at key Fibonacci levels (38.2%, 50%, 61.8%) or major S/R zones have enhanced structural significance.
Dashboard - Real-Time Intelligence
MPI Status:
• Current pressure reading with interpretation
• Color-coded background (green/red/gray zones)
Signal Status:
• Active signal type and direction
• Confidence score with visual bar (20 blocks, color-coded)
• Scanning status when no signal active
Divergence Indicator:
• Highlights active divergence separately (highest priority factor)
Performance Stats:
• Overall win rate with 10-block visual bar
• Directional breakdown (bearish vs. bullish)
• Signal type breakdown (DIV/LIQ/OF/STD individual win rates)
• Sample size for each category
Customization:
• Position: 9 locations (Top/Middle/Bottom × Left/Center/Right)
• Size: Tiny/Small/Normal/Large
• Toggle sections independently
How to Use This System
Initial Setup (10 Minutes)
1. MPI Configuration:
• Period: 14 (balanced) | 5-10 for scalping | 21-30 for swing
• Sensitivity: 1.5 (moderate) | Increase if MPI rarely hits ±0.7 | Decrease if constantly maxed
2. Detection Thresholds:
• Wick Threshold: 0.6 (60% of bar must be wick)
• Volume Spike: 2.0× average (lower to 1.5-1.8 for stocks, raise to 2.5-3.0 for crypto)
• Velocity: 2.0 ATR (raise to 2.5-3.0 for crypto)
3. Confluence Settings:
• Enable Divergence (highest win rate factor)
• Pivot Lookback: 5 (day trading) | 8-10 (swing trading)
• Keep default weights initially
4. Thresholds:
• Premium: 6.0 (quality over quantity)
• Standard: 4.0 (balanced)
• Warning: 2 factors minimum
Trading Workflow
When Warning Fires (Yellow Diamond):
Note warning type (bearish/bullish)
Do not enter - this is preparation only
Monitor for full signal confirmation
Prepare entry parameters
When Signal Fires (Colored Triangle):
Identify type from color (Purple=DIV, Orange=LIQ, Aqua=OF, Red/Green=STD)
Check dashboard confidence score
Verify confluence on chart (wick, volume, MPI extreme, Fib level)
Confirm with your analysis (context, higher timeframe, news)
Enter with proper risk management
Risk Management (Not Provided by Indicator):
• Stop Loss: Beyond recent swing or 1.5-2.0× ATR
• Position Size: Risk 0.5-2% of capital per trade
• Take Profit: 2-3× ATR or next structural level
Performance Analysis (After 30-50 Signals)
Review Dashboard Statistics:
Overall Win Rate:
• Target >50% for profitability with 1:1.5+ RR
• <45% = system may not suit instrument
• >65% = consider tightening thresholds
Directional Analysis:
• Bullish >> Bearish = uptrend bias, avoid counter-trend shorts
• Bearish >> Bullish = downtrend bias, avoid counter-trend longs
Signal Type Ranking:
• Focus on highest win rate types (typically DIV/LIQ)
• If STD <40% = raise threshold or ignore STD signals
• If premium type <50% = investigate (may need parameter adjustment)
Optimize Settings:
• Too many weak signals → Raise thresholds (premium 7.0-8.0, standard 5.0-6.0)
• Too few signals → Lower thresholds or reduce detection strictness
• Adjust factor weights based on what appears in winning signals
What Makes This Original
1. Proprietary Market Pressure Index
Unique Methodology:
• Proportional intrabar allocation: Unlike binary volume classification (OBV), MPI uses close position within range for proportional pressure assignment
• Dual-timeframe normalization: EMA smoothing (14) + SMA normalization (28) for responsiveness with context
• Bounded oscillator with sensitivity control: -1 to +1 range enables cross-instrument comparison while sensitivity allows customization
• Active signal integration: MPI drives divergence detection, extreme requirements, exhaustion confirmation (not just display)
vs. Existing Indicators:
• MFI uses typical price × volume (different pressure measure)
• CMF accumulates over time (not bounded oscillator)
• OBV is cumulative and binary (not proportional or normalized)
2. Hierarchical Confluence Engine
Why Simple Mashups Fail: Most multi-indicator systems create decision paralysis (RSI says sell, MACD says buy).
This System's Solution:
• Six factors weighted by reliability (3.0 down to 1.0)
• Dual thresholds (premium 6.0, standard 4.0)
• Automatic signal triage by quality tier
• Color-coded visual prioritization
Orthogonal Detection: Each factor detects different failure mode:
• Divergence = momentum exhaustion
• Liquidity = institutional manipulation
• Order Flow = smart money positioning
• Wick = supply/demand rejection
• Volume = participation confirmation
• Velocity = parabolic exhaustion
Complementary, not redundant. Weighted synthesis creates unified confidence measure.
3. Self-Validating Performance System
The Problem: Most indicators never reveal actual performance. Traders never know if it works on their instrument.
This Solution:
• Forward-looking validation (signals tracked to pivot confirmation)
• Pivot-based success criteria (objective, mechanical)
• Segmented statistics (by direction and type)
• Real-time dashboard updates
Result: After 30-50 signals, you have statistically meaningful data on what actually works on your specific market. Transforms indicator into adaptive learning system.
Technical Notes
No Repainting:
• All signals use confirmed bar data (closed bars only)
• Pivot detection has inherent lookback lag (5 bars)
• Divergence lines drawn after confirmation (retroactive visualization)
• Signals fire on bar close
Forward-Looking Disclosure:
• Win rate validation looks forward 10 bars for pivot confirmation
• Creates forward bias in statistics , not signal generation
• Real-time performance may differ until validation period elapses
Lookback Limits:
• Fibonacci/S/R: Limited by limitDrawBars (default 100)
• MPI calculation: 28 bars maximum
• Signal storage: 20 per direction (configurable)
Visual Limits:
• Max lines/labels/boxes: 500 each
• Auto-clearing prevents overflow
Limitations & Disclaimers
Not a Complete Trading System:
• Does not provide stop loss, take profit, or position sizing
• Requires trader risk management and market context analysis
Reversal Bias:
• Designed specifically for reversal trading
• Not optimized for trend continuation or breakouts
Learning Period:
• Statistics meaningless until 20-30 mature signals
• Preferably 50+ for statistical confidence
Instrument Dependency:
• Best: Liquid instruments (major forex, large-caps, BTC/ETH)
• Poor: Illiquid small-caps, low-volume altcoins (order flow unreliable)
Timeframe Dependency:
• Optimal: 15m - 4H charts
• Not Recommended: <5m (noise) or >Daily (insufficient signals)
No Guarantee of Profit:
• Win rate >50% does not guarantee profitability (depends on RR, sizing, execution)
• Past performance ≠ future performance
• All trading involves risk of loss
Warning Signals:
• Warnings are NOT trade signals
• Trading warnings produces lower win rates
• For preparation only
Recommended Settings by Instrument
Forex Majors (15m-1H):
• MPI Sensitivity: 1.3-1.5 | Volume: 2.0 | Thresholds: 6.0/4.0
Crypto BTC/ETH (15m-4H):
• MPI Sensitivity: 2.0-2.5 | Volume: 2.5-3.0 | Velocity: 2.5-3.0 | Thresholds: 6.5-7.0/4.5-5.0
Large-Cap Stocks (5m-1H):
• MPI Sensitivity: 1.2-1.5 | Volume: 1.8-2.0 | Thresholds: 6.0/4.0
Index Futures ES/NQ (5m-30m):
• MPI Period: 10-14 | Sensitivity: 1.5 | Velocity: 1.8-2.0 | Thresholds: 5.5-6.0/4.0
Altcoins High Vol (1H-4H):
• MPI Period: 21 | Sensitivity: 2.0-3.0 | Volume: 3.0+ | Thresholds: 7.0-8.0/5.0 (very selective)
Alert Configuration
Built-In Alerts:
Bullish Signal (all types)
Bearish Signal (all types)
Bullish Divergence (DIV only)
Bearish Divergence (DIV only)
Setup:
• TradingView Alert → Select "Pressure Pivots - MPI"
• Choose condition
• Frequency: "Once Per Bar Close" (prevents repainting)
• Configure notifications (popup/email/SMS/webhook)
Recommended:
• Active traders: Enable all signals
• Selective traders: DIV only (highest quality)
In-Code Documentation
Every input parameter includes extensive tooltips (800+ words total) providing:
• What it controls
• How it affects calculations
• Range guidance (low/medium/high implications)
• Default justification
• Asset-specific recommendations
• Timeframe adjustments
Access: Hover over (i) icon next to any setting. Creates self-documenting learning system—no external docs required.
DskyzInvestments | Trade with insight. Trade with anticipation.
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description
What This Indicator Does:
This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups.
Key Features:
Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align
Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison
Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments
Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility
Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot
How It Works:
The indicator operates on a confluence principle where multiple conditions must align:
For BUY Signals (Green):
WaveTrend 1 crosses above WaveTrend 2 (bullish crossover)
WaveTrend is in oversold territory (below -53 or -60)
Stochastic RSI K-line is below 20 (oversold)
For SELL Signals (Red):
WaveTrend 1 crosses below WaveTrend 2 (bearish crossover)
WaveTrend is in overbought territory (above 53 or 60)
Stochastic RSI K-line is above 80 (overbought)
WaveTrend Component:
Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals.
Stochastic RSI Component:
Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation.
Normalization Technology:
To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent.
How to Use:
For Trend Traders:
Wait for confluence signals in the direction of the larger trend
Use buy signals in uptrends as entry points during pullbacks
Use sell signals in downtrends as entry points during bounces
For Reversal Traders:
Focus on confluence signals at major support/resistance levels
Look for divergences between price and oscillators before confluence signals
Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80)
For Scalpers:
Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals
Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70)
Use on lower timeframes (5m, 15m) with strict stop losses
Settings Guide:
WaveTrend Parameters:
Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals
Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws
Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate
Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes
Stochastic RSI Parameters:
K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed
D-Smooth (3): Additional smoothing for the D-line signal
RSI Period (14): Standard RSI calculation period
Stoch Period (14): Stochastic calculation lookback
Oversold (20) / Overbought (80): Classic thresholds for extreme conditions
Visual Options:
Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area
Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish)
Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish)
Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels
What Makes This Original:
While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in:
Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers
Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard
Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment
Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance
Important Considerations:
This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings
In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends)
Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems
Always combine with price action analysis, support/resistance levels, and proper risk management
Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings
Best Timeframes:
Intraday: 15m, 1H (with tighter parameters)
Swing Trading: 4H, Daily (with default parameters)
Position Trading: Daily, Weekly (with extended Channel Length 15-20)
Typical Use Cases:
Identifying exhaustion points in trending markets
Timing entries during pullbacks in established trends
Spotting potential reversal zones at key price levels
Filtering out weak momentum signals during consolidation
DAO - Demand Advanced Oscillator# DAO - Demand Advanced Oscillator
## 📊 Overview
DAO (Demand Advanced Oscillator) is a powerful momentum oscillator that measures buying and selling pressure by analyzing consecutive high-low relationships. It helps identify market extremes, divergences, and potential trend reversals.
**Values range from 0 to 1:**
- **Above 0.70** = Overbought (potential reversal down)
- **Below 0.30** = Oversold (potential reversal up)
- **0.30 - 0.70** = Neutral zone
---
## ✨ Key Features
✅ **Automatic Divergence Detection**
- Bullish divergences (price lower low + DAO higher low)
- Bearish divergences (price higher high + DAO lower high)
- Visual lines connecting divergence points
✅ **Multi-Timeframe Analysis**
- View higher timeframe DAO on current chart
- Perfect for trend alignment strategies
✅ **Signal Line (EMA)**
- Customizable EMA for trend confirmation
- Crossover signals for momentum shifts
✅ **Real-Time Statistics Dashboard**
- Current DAO value
- Market status (Overbought/Oversold/Neutral)
- Trend direction indicator
✅ **Complete Alert System**
- Overbought/Oversold signals
- Bullish/Bearish divergences
- Signal line crosses
- Level crosses
✅ **Fully Customizable**
- Adjustable periods and levels
- Customizable colors and zones
- Toggle features on/off
---
## 📈 Trading Signals
### 1. Divergences (Most Powerful)
**Bullish Divergence:**
- Price makes lower low
- DAO makes higher low
- Signal: Strong reversal up likely
**Bearish Divergence:**
- Price makes higher high
- DAO makes lower high
- Signal: Strong reversal down likely
### 2. Overbought/Oversold
**Overbought (>0.70):**
- Market may be overextended
- Consider taking profits or looking for shorts
- Can remain overbought in strong trends
**Oversold (<0.30):**
- Market may be oversold
- Consider buying opportunities
- Can remain oversold in strong downtrends
### 3. Signal Line Crossovers
**Bullish Cross:**
- DAO crosses above signal line
- Momentum turning positive
**Bearish Cross:**
- DAO crosses below signal line
- Momentum turning negative
### 4. Level Crosses
**Cross Above 0.30:** Exiting oversold zone (potential uptrend)
**Cross Below 0.70:** Exiting overbought zone (potential downtrend)
---
## ⚙️ Default Settings
📊 Oscillator Period: 14
Number of bars for calculation
📈 Signal Line Period: 9
EMA period for signal line
🔴 Overbought Level: 0.70
Upper threshold
🟢 Oversold Level: 0.30
Lower threshold
🎯 Divergence Detection: ON
Auto divergence identification
⏰ Multi-Timeframe: OFF
Higher TF overlay (optional)
All parameters are fully customizable!
---
## 🔔 Alerts
Six pre-configured alerts available:
1. DAO Overbought
2. DAO Oversold
3. DAO Bullish Divergence
4. DAO Bearish Divergence
5. DAO Signal Cross Up
6. DAO Signal Cross Down
**Setup:** Right-click indicator → Add Alert → Choose condition
---
## 💡 How to Use
### Best Practices:
✅ Focus on divergences (strongest signals)
✅ Combine with support/resistance levels
✅ Use multiple timeframes for confirmation
✅ Wait for price action confirmation
✅ Practice proper risk management
### Avoid:
❌ Trading on indicator alone
❌ Fighting strong trends
❌ Ignoring market context
❌ Overtrading
### Recommended Settings by Trading Style:
**Day Trading:** Period 7-10, All alerts ON
**Swing Trading:** Period 14-21, Divergence alerts
**Scalping:** Period 5-7, Signal crosses
**Position Trading:** Period 21-30, Weekly/Daily TF
---
## 🌍 Markets & Timeframes
**Works on all markets:**
- Forex (all pairs)
- Stocks (all exchanges)
- Cryptocurrencies
- Commodities
- Indices
- Futures
**Works on all timeframes:** 1m to Monthly
---
## 📊 How It Works
DAO calculates the ratio of buying pressure to total market pressure:
1. **Calculate Buying Pressure (DemandMax):**
- If current high > previous high: DemandMax = difference
- Otherwise: DemandMax = 0
2. **Calculate Selling Pressure (DemandMin):**
- If previous low > current low: DemandMin = difference
- Otherwise: DemandMin = 0
3. **Apply Smoothing:**
- Calculate SMA of DemandMax over N periods
- Calculate SMA of DemandMin over N periods
4. **Final Formula:**
```
DAO = SMA(DemandMax) / (SMA(DemandMax) + SMA(DemandMin))
```
This produces a normalized value (0-1) representing market demand strength.
---
## 🎯 Trading Strategies
### Strategy 1: Divergence Trading
- Wait for divergence label
- Confirm at support/resistance
- Enter on confirming candle
- Stop loss beyond recent swing
- Target: opposite level or 0.50
### Strategy 2: Overbought/Oversold
- Best for ranging markets
- Wait for extreme readings
- Enter on reversal from extremes
- Target: middle line (0.50)
### Strategy 3: Trend Following
- Identify trend direction first
- Use DAO to time entries in trend direction only
- Enter on pullbacks to oversold (uptrend) or overbought (downtrend)
- Trade with the trend
### Strategy 4: Multi-Timeframe
- Enable MTF feature
- Trade only when both timeframes align
- Higher TF = trend direction
- Lower TF = precise entry
---
## 📂 Category
**Primary:** Oscillators
**Secondary:** Statistics, Volatility, Momentum
---
## 🏷️ Tags
dao, oscillator, momentum, overbought-oversold, divergence, reversal, demand-indicator, price-exhaustion, statistics, volatility, forex, stocks, crypto, multi-timeframe, technical-analysis
---
## ⚠️ Disclaimer
**This indicator is for educational purposes only.** It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research, use proper risk management, and consult with financial professionals before making trading decisions. Past performance does not guarantee future results.
---
## 📄 License
Open source - Free to use for personal trading, modify as needed, and share with attribution.
---
**Version:** 1.0
**Status:** Production Ready ✅
**Pine Script:** v5
**Trademark-Free:** 100% Safe to Publish
---
*Made with 💙 for traders worldwide*
Adaptive SuperTrend - Multi-Method# 📊 Adaptive SuperTrend - Multi-Method with Advanced Analytics
## 🎯 Overview
The **Adaptive SuperTrend - Multi-Method** is a sophisticated trading indicator that enhances the traditional SuperTrend by dynamically adjusting its parameters based on market conditions. Unlike static SuperTrend indicators, this version adapts to volatility changes, providing more reliable signals across different market regimes.
## ✨ Key Features
### 🤖 7 Adaptive Methods
Choose from multiple adaptation strategies or use the powerful Hybrid mode that combines all methods:
1. **Percentile-Based Adaptation**
- Adjusts multiplier based on ATR percentile ranking
- Tightens during extreme volatility, widens during calm periods
- Lookback: 100 bars (customizable)
2. **Volatility Regime Classification**
- Categorizes market into Low/Normal/High volatility regimes
- Applies different multipliers for each regime
- Default: Low=4.0x, Normal=2.5x, High=1.5x
3. **Z-Score Normalization**
- Uses statistical Z-score to normalize ATR
- Adapts to volatility outliers intelligently
- Sensitivity: 0.3 (adjustable)
4. **Dynamic Period Adjustment**
- Blends short and long ATR periods based on volatility
- Responsive in volatile markets, stable in calm markets
- Period range: 7-20 bars
5. **Rate of Change Method**
- Adjusts based on ATR's rate of change
- Detects accelerating/decelerating volatility
- Lookback: 20 bars
6. **Multi-Timeframe Comparison**
- Compares current timeframe ATR with higher timeframe
- Provides macro-context awareness
- Default HTF: Daily
7. **Hybrid Approach** ⭐ RECOMMENDED
- Combines all 6 methods with equal weighting
- Smoothed with EMA for stability
- Best overall performance
### 📈 Professional Statistics Panel
A comprehensive performance tracking panel with ML Fusion-inspired color scheme:
**Features:**
- 💼 **Current Position**: Live LONG/SHORT status with entry price
- 📊 **Total Points**: Cumulative P&L for selected period (default: 60 days)
- 💰 **Current P&L**: Unrealized profit/loss with percentage
- 🟢 **Long Stats**: Separate tracking for long trades
- 🔴 **Short Stats**: Separate tracking for short trades
- 📈 **Averages**: Average points per trade (overall, long, short)
- 📅 **Date Range**: Start and end dates of tracking period
**Customizable Options:**
- Lookback period: 1-365 days (default: 60 days)
- Table position: Top Left/Right, Bottom Left/Right
- Toggle date range display on/off
### 🎨 Visual Features
- **Color-Coded Signals**: Clear buy (green) and sell (red) markers
- **Trend Background**: Subtle background coloring for trend direction
- **SuperTrend Line**: Dynamic color based on current trend
- **Price Fill**: Shaded area between price and SuperTrend
- **Vibrant Colors**: Professional Material Design color palette
### 📊 Information Panel
Real-time display of:
- Active adaptation method
- Current ATR value
- ATR percentile ranking
- Active multiplier vs base multiplier
- Volatility regime (Low/Normal/High)
- ATR Z-Score
- Current trend direction
## 🔧 How to Use
### Quick Start
1. Add indicator to your chart
2. Choose adaptation method (start with "Hybrid")
3. Monitor the statistics panel for performance
4. Use signals for entry/exit points
### Recommended Settings
**For Intraday Trading:**
- Method: Hybrid or Dynamic Period
- Base ATR Period: 10
- Base Multiplier: 2.5-3.0
- P&L Tracking: 30 days
**For Swing Trading:**
- Method: Hybrid or Multi-Timeframe
- Base ATR Period: 14
- Base Multiplier: 3.0-4.0
- P&L Tracking: 90 days
**For Scalping:**
- Method: Rate of Change or Z-Score
- Base ATR Period: 7
- Base Multiplier: 2.0-2.5
- P&L Tracking: 7-14 days
### Signal Interpretation
✅ **BUY Signal**: Triangle up below bar
- Enter long position
- Place stop loss below SuperTrend line
❌ **SELL Signal**: Triangle down above bar
- Exit long / Enter short position
- Place stop loss above SuperTrend line
## ⚙️ Input Parameters
### Basic Settings
- **Base ATR Period**: Default 10 (1-50)
- **Base Multiplier**: Default 3.0 (0.1-10.0)
### Method-Specific Settings
Each of the 7 methods has its own customizable parameters for fine-tuning.
### Display Settings
- **Show Volatility Regime**: Toggle regime display
- **Show ATR Info Panel**: Toggle information panel
- **Show Statistics Panel**: Toggle performance stats
- **Stats Table Position**: Choose corner placement
- **P&L Tracking Period**: 1-365 days (default: 60)
- **Show P&L Date Range**: Toggle date range display
- **Bullish Color**: Customize trend-up color
- **Bearish Color**: Customize trend-down color
## 📊 Statistics Tracking
The indicator automatically tracks:
- **Entry Points**: Recorded on every trend change
- **Exit Points**: Calculated on opposite signal
- **Points Gained/Lost**: Per trade and cumulative
- **Long vs Short Performance**: Separate analytics
- **Trade Count**: Total, long, and short trades
- **Average Performance**: Overall and per direction
- **Time-Based Filtering**: Only shows trades within lookback period
## 🎯 Advantages Over Standard SuperTrend
1. **Adaptive to Market Conditions**: No more whipsaws in ranging markets or missed trends in volatile markets
2. **Multiple Adaptation Strategies**: Choose the method that fits your market and timeframe
3. **Comprehensive Analytics**: Track your performance with detailed statistics
4. **Professional Presentation**: Clean, organized display with Material Design colors
5. **Flexible Configuration**: Highly customizable for any trading style
6. **Real-Time Monitoring**: Live P&L tracking and performance metrics
## 🔔 Alerts
Built-in alert conditions for:
- Buy Signal (trend change to bullish)
- Sell Signal (trend change to bearish)
- Trend Change (any direction change)
Set up TradingView alerts to get notified on your phone or email when signals occur.
## 💡 Pro Tips
1. **Combine with Volume**: Use with volume indicators for confirmation
2. **Multiple Timeframes**: Add on multiple timeframes for confluence
3. **Risk Management**: Always use stop losses at SuperTrend line
4. **Backtest First**: Test on historical data before live trading
5. **Monitor Statistics**: Track your win rate and average gains
6. **Adjust for Market**: Switch methods based on market conditions
7. **Use Hybrid Mode**: When unsure, Hybrid mode provides balanced adaptation
## 📝 Version Notes
**Version 1.0**
- 7 adaptive methods with Hybrid mode
- Professional statistics panel with P&L tracking
- Configurable lookback period (1-365 days)
- Date range display
- Material Design color scheme
- Real-time performance analytics
- Multiple table position options
## ⚠️ Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always do your own research and consider consulting with a financial advisor before making trading decisions. Past performance does not guarantee future results.
---
**Happy Trading! 🚀📈**
---
## 🏷️ Tags
#SuperTrend #Adaptive #Volatility #TrendFollowing #ATR #Statistics #Analytics #PnL #Trading #Technical #Indicators #MultiMethod #Swing #Intraday #Scalping #RiskManagement
Algorithm Predator - ML-liteAlgorithm Predator - ML-lite
This indicator combines four specialized trading agents with an adaptive multi-armed bandit selection system to identify high-probability trade setups. It is designed for swing and intraday traders who want systematic signal generation based on institutional order flow patterns , momentum exhaustion , liquidity dynamics , and statistical mean reversion .
Core Architecture
Why These Components Are Combined:
The script addresses a fundamental challenge in algorithmic trading: no single detection method works consistently across all market conditions. By deploying four independent agents and using reinforcement learning algorithms to select or blend their outputs, the system adapts to changing market regimes without manual intervention.
The Four Trading Agents
1. Spoofing Detector Agent 🎭
Detects iceberg orders through persistent volume at similar price levels over 5 bars
Identifies spoofing patterns via asymmetric wick analysis (wicks exceeding 60% of bar range with volume >1.8× average)
Monitors order clustering using simplified Hawkes process intensity tracking (exponential decay model)
Signal Logic: Contrarian—fades false breakouts caused by institutional manipulation
Best Markets: Consolidations, institutional trading windows, low-liquidity hours
2. Exhaustion Detector Agent ⚡
Calculates RSI divergence between price movement and momentum indicator over 5-bar window
Detects VWAP exhaustion (price at 2σ bands with declining volume)
Uses VPIN reversals (volume-based toxic flow dissipation) to identify momentum failure
Signal Logic: Counter-trend—enters when momentum extreme shows weakness
Best Markets: Trending markets reaching climax points, over-extended moves
3. Liquidity Void Detector Agent 💧
Measures Bollinger Band squeeze (width <60% of 50-period average)
Identifies stop hunts via 20-bar high/low penetration with immediate reversal and volume spike
Detects hidden liquidity absorption (volume >2× average with range <0.3× ATR)
Signal Logic: Breakout anticipation—enters after liquidity grab but before main move
Best Markets: Range-bound pre-breakout, volatility compression zones
4. Mean Reversion Agent 📊
Calculates price z-scores relative to 50-period SMA and standard deviation (triggers at ±2σ)
Implements Ornstein-Uhlenbeck process scoring (mean-reverting stochastic model)
Uses entropy analysis to detect algorithmic trading patterns (low entropy <0.25 = high predictability)
Signal Logic: Statistical reversion—enters when price deviates significantly from statistical equilibrium
Best Markets: Range-bound, low-volatility, algorithmically-dominated instruments
Adaptive Selection: Multi-Armed Bandit System
The script implements four reinforcement learning algorithms to dynamically select or blend agents based on performance:
Thompson Sampling (Default - Recommended):
Uses Bayesian inference with beta distributions (tracks alpha/beta parameters per agent)
Balances exploration (trying underused agents) vs. exploitation (using proven winners)
Each agent's win/loss history informs its selection probability
Lite Approximation: Uses pseudo-random sampling from price/volume noise instead of true random number generation
UCB1 (Upper Confidence Bound):
Calculates confidence intervals using: average_reward + sqrt(2 × ln(total_pulls) / agent_pulls)
Deterministic algorithm favoring agents with high uncertainty (potential upside)
More conservative than Thompson Sampling
Epsilon-Greedy:
Exploits best-performing agent (1-ε)% of the time
Explores randomly ε% of the time (default 10%, configurable 1-50%)
Simple, transparent, easily tuned via epsilon parameter
Gradient Bandit:
Uses softmax probability distribution over agent preference weights
Updates weights via gradient ascent based on rewards
Best for Blend mode where all agents contribute
Selection Modes:
Switch Mode: Uses only the selected agent's signal (clean, decisive)
Blend Mode: Combines all agents using exponentially weighted confidence scores controlled by temperature parameter (smooth, diversified)
Lock Agent Feature:
Optional manual override to force one specific agent
Useful after identifying which agent dominates your specific instrument
Only applies in Switch mode
Four choices: Spoofing Detector, Exhaustion Detector, Liquidity Void, Mean Reversion
Memory System
Dual-Layer Architecture:
Short-Term Memory: Stores last 20 trade outcomes per agent (configurable 10-50)
Long-Term Memory: Stores episode averages when short-term reaches transfer threshold (configurable 5-20 bars)
Memory Boost Mechanism: Recent performance modulates agent scores by up to ±20%
Episode Transfer: When an agent accumulates sufficient results, averages are condensed into long-term storage
Persistence: Manual restoration of learned parameters via input fields (alpha, beta, weights, microstructure thresholds)
How Memory Works:
Agent generates signal → outcome tracked after 8 bars (performance horizon)
Result stored in short-term memory (win = 1.0, loss = 0.0)
Short-term average influences agent's future scores (positive feedback loop)
After threshold met (default 10 results), episode averaged into long-term storage
Long-term patterns (weighted 30%) + short-term patterns (weighted 70%) = total memory boost
Market Microstructure Analysis
These advanced metrics quantify institutional order flow dynamics:
Order Flow Toxicity (Simplified VPIN):
Measures buy/sell volume imbalance over 20 bars: |buy_vol - sell_vol| / (buy_vol + sell_vol)
Detects informed trading activity (institutional players with non-public information)
Values >0.4 indicate "toxic flow" (informed traders active)
Lite Approximation: Uses simple open/close heuristic instead of tick-by-tick trade classification
Price Impact Analysis (Simplified Kyle's Lambda):
Measures market impact efficiency: |price_change_10| / sqrt(volume_sum_10)
Low values = large orders with minimal price impact ( stealth accumulation )
High values = retail-dominated moves with high slippage
Lite Approximation: Uses simplified denominator instead of regression-based signed order flow
Market Randomness (Entropy Analysis):
Counts unique price changes over 20 bars / 20
Measures market predictability
High entropy (>0.6) = human-driven, chaotic price action
Low entropy (<0.25) = algorithmic trading dominance (predictable patterns)
Lite Approximation: Simple ratio instead of true Shannon entropy H(X) = -Σ p(x)·log₂(p(x))
Order Clustering (Simplified Hawkes Process):
Tracks self-exciting event intensity (coordinated order activity)
Decays at 0.9× per bar, spikes +1.0 when volume >1.5× average
High intensity (>0.7) indicates clustering (potential spoofing/accumulation)
Lite Approximation: Simple exponential decay instead of full λ(t) = μ + Σ α·exp(-β(t-tᵢ)) with MLE
Signal Generation Process
Multi-Stage Validation:
Stage 1: Agent Scoring
Each agent calculates internal score based on its detection criteria
Scores must exceed agent-specific threshold (adjusted by sensitivity multiplier)
Agent outputs: Signal direction (+1/-1/0) and Confidence level (0.0-1.0)
Stage 2: Memory Boost
Agent scores multiplied by memory boost factor (0.8-1.2 based on recent performance)
Successful agents get amplified, failing agents get dampened
Stage 3: Bandit Selection/Blending
If Adaptive Mode ON:
Switch: Bandit selects single best agent, uses only its signal
Blend: All agents combined using softmax-weighted confidence scores
If Adaptive Mode OFF:
Traditional consensus voting with confidence-squared weighting
Signal fires when consensus exceeds threshold (default 70%)
Stage 4: Confirmation Filter
Raw signal must repeat for consecutive bars (default 3, configurable 2-4)
Minimum confidence threshold: 0.25 (25%) enforced regardless of mode
Trend alignment check: Long signals require trend_score ≥ -2, Short signals require trend_score ≤ 2
Stage 5: Cooldown Enforcement
Minimum bars between signals (default 10, configurable 5-15)
Prevents over-trading during choppy conditions
Stage 6: Performance Tracking
After 8 bars (performance horizon), signal outcome evaluated
Win = price moved in signal direction, Loss = price moved against
Results fed back into memory and bandit statistics
Trading Modes (Presets)
Pre-configured parameter sets:
Conservative: 85% consensus, 4 confirmations, 15-bar cooldown
Expected: 60-70% win rate, 3-8 signals/week
Best for: Swing trading, capital preservation, beginners
Balanced: 70% consensus, 3 confirmations, 10-bar cooldown
Expected: 55-65% win rate, 8-15 signals/week
Best for: Day trading, most traders, general use
Aggressive: 60% consensus, 2 confirmations, 5-bar cooldown
Expected: 50-58% win rate, 15-30 signals/week
Best for: Scalping, high-frequency trading, active management
Elite: 75% consensus, 3 confirmations, 12-bar cooldown
Expected: 58-68% win rate, 5-12 signals/week
Best for: Selective trading, high-conviction setups
Adaptive: 65% consensus, 2 confirmations, 8-bar cooldown
Expected: Varies based on learning
Best for: Experienced users leveraging bandit system
How to Use
1. Initial Setup (5 Minutes):
Select Trading Mode matching your style (start with Balanced)
Enable Adaptive Learning (recommended for automatic agent selection)
Choose Thompson Sampling algorithm (best all-around performance)
Keep Microstructure Metrics enabled for liquid instruments (>100k daily volume)
2. Agent Tuning (Optional):
Adjust Agent Sensitivity multipliers (0.5-2.0):
<0.8 = Highly selective (fewer signals, higher quality)
0.9-1.2 = Balanced (recommended starting point)
1.3 = Aggressive (more signals, lower individual quality)
Monitor dashboard for 20-30 signals to identify dominant agent
If one agent consistently outperforms, consider using Lock Agent feature
3. Bandit Configuration (Advanced):
Blend Temperature (0.1-2.0):
0.3 = Sharp decisions (best agent dominates)
0.5 = Balanced (default)
1.0+ = Smooth (equal weighting, democratic)
Memory Decay (0.8-0.99):
0.90 = Fast adaptation (volatile markets)
0.95 = Balanced (most instruments)
0.97+ = Long memory (stable trends)
4. Signal Interpretation:
Green triangle (▲): Long signal confirmed
Red triangle (▼): Short signal confirmed
Dashboard shows:
Active agent (highlighted row with ► marker)
Win rate per agent (green >60%, yellow 40-60%, red <40%)
Confidence bars (█████ = maximum confidence)
Memory size (short-term buffer count)
Colored zones display:
Entry level (current close)
Stop-loss (1.5× ATR)
Take-profit 1 (2.0× ATR)
Take-profit 2 (3.5× ATR)
5. Risk Management:
Never risk >1-2% per signal (use ATR-based stops)
Signals are entry triggers, not complete strategies
Combine with your own market context analysis
Consider fundamental catalysts and news events
Use "Confirming" status to prepare entries (not to enter early)
6. Memory Persistence (Optional):
After 50-100 trades, check Memory Export Panel
Record displayed alpha/beta/weight values for each agent
Record VPIN and Kyle threshold values
Enable "Restore From Memory" and input saved values to continue learning
Useful when switching timeframes or restarting indicator
Visual Components
On-Chart Elements:
Spectral Layers: EMA8 ± 0.5 ATR bands (dynamic support/resistance, colored by trend)
Energy Radiance: Multi-layer glow boxes at signal points (intensity scales with confidence, configurable 1-5 layers)
Probability Cones: Projected price paths with uncertainty wedges (15-bar projection, width = confidence × ATR)
Connection Lines: Links sequential signals (solid = same direction continuation, dotted = reversal)
Kill Zones: Risk/reward boxes showing entry, stop-loss, and dual take-profit targets
Signal Markers: Triangle up/down at validated entry points
Dashboard (Configurable Position & Size):
Regime Indicator: 4-level trend classification (Strong Bull/Bear, Weak Bull/Bear)
Mode Status: Shows active system (Adaptive Blend, Locked Agent, or Consensus)
Agent Performance Table: Real-time win%, confidence, and memory stats
Order Flow Metrics: Toxicity and impact indicators (when microstructure enabled)
Signal Status: Current state (Long/Short/Confirming/Waiting) with confirmation progress
Memory Panel (Configurable Position & Size):
Live Parameter Export: Alpha, beta, and weight values per agent
Adaptive Thresholds: Current VPIN sensitivity and Kyle threshold
Save Reminder: Visual indicator if parameters should be recorded
What Makes This Original
This script's originality lies in three key innovations:
1. Genuine Meta-Learning Framework:
Unlike traditional indicator mashups that simply display multiple signals, this implements authentic reinforcement learning (multi-armed bandits) to learn which detection method works best in current conditions. The Thompson Sampling implementation with beta distribution tracking (alpha for successes, beta for failures) is statistically rigorous and adapts continuously. This is not post-hoc optimization—it's real-time learning.
2. Episodic Memory Architecture with Transfer Learning:
The dual-layer memory system mimics human learning patterns:
Short-term memory captures recent performance (recency bias)
Long-term memory preserves historical patterns (experience)
Automatic transfer mechanism consolidates knowledge
Memory boost creates positive feedback loops (successful strategies become stronger)
This architecture allows the system to adapt without retraining , unlike static ML models that require batch updates.
3. Institutional Microstructure Integration:
Combines retail-focused technical analysis (RSI, Bollinger Bands, VWAP) with institutional-grade microstructure metrics (VPIN, Kyle's Lambda, Hawkes processes) typically found in academic finance literature and professional trading systems, not standard retail platforms. While simplified for Pine Script constraints, these metrics provide insight into informed vs. uninformed trading , a dimension entirely absent from traditional technical analysis.
Mashup Justification:
The four agents are combined specifically for risk diversification across failure modes:
Spoofing Detector: Prevents false breakout losses from manipulation
Exhaustion Detector: Prevents chasing extended trends into reversals
Liquidity Void: Exploits volatility compression (different regime than trending)
Mean Reversion: Provides mathematical anchoring when patterns fail
The bandit system ensures the optimal tool is automatically selected for each market situation, rather than requiring manual interpretation of conflicting signals.
Why "ML-lite"? Simplifications and Approximations
This is the "lite" version due to necessary simplifications for Pine Script execution:
1. Simplified VPIN Calculation:
Academic Implementation: True VPIN uses volume bucketing (fixed-volume bars) and tick-by-tick buy/sell classification via Lee-Ready algorithm or exchange-provided trade direction flags
This Implementation: 20-bar rolling window with simple open/close heuristic (close > open = buy volume)
Impact: May misclassify volume during ranging/choppy markets; works best in directional moves
2. Pseudo-Random Sampling:
Academic Implementation: Thompson Sampling requires true random number generation from beta distributions using inverse transform sampling or acceptance-rejection methods
This Implementation: Deterministic pseudo-randomness derived from price and volume decimal digits: (close × 100 - floor(close × 100)) + (volume % 100) / 100
Impact: Not cryptographically random; may have subtle biases in specific price ranges; provides sufficient variation for agent selection
3. Hawkes Process Approximation:
Academic Implementation: Full Hawkes process uses maximum likelihood estimation with exponential kernels: λ(t) = μ + Σ α·exp(-β(t-tᵢ)) fitted via iterative optimization
This Implementation: Simple exponential decay (0.9 multiplier) with binary event triggers (volume spike = event)
Impact: Captures self-exciting property but lacks parameter optimization; fixed decay rate may not suit all instruments
4. Kyle's Lambda Simplification:
Academic Implementation: Estimated via regression of price impact on signed order flow over multiple time intervals: Δp = λ × Δv + ε
This Implementation: Simplified ratio: price_change / sqrt(volume_sum) without proper signed order flow or regression
Impact: Provides directional indicator of impact but not true market depth measurement; no statistical confidence intervals
5. Entropy Calculation:
Academic Implementation: True Shannon entropy requires probability distribution: H(X) = -Σ p(x)·log₂(p(x)) where p(x) is probability of each price change magnitude
This Implementation: Simple ratio of unique price changes to total observations (variety measure)
Impact: Measures diversity but not true information entropy with probability weighting; less sensitive to distribution shape
6. Memory System Constraints:
Full ML Implementation: Neural networks with backpropagation, experience replay buffers (storing state-action-reward tuples), gradient descent optimization, and eligibility traces
This Implementation: Fixed-size array queues with simple averaging; no gradient-based learning, no state representation beyond raw scores
Impact: Cannot learn complex non-linear patterns; limited to linear performance tracking
7. Limited Feature Engineering:
Advanced Implementation: Dozens of engineered features, polynomial interactions (x², x³), dimensionality reduction (PCA, autoencoders), feature selection algorithms
This Implementation: Raw agent scores and basic market metrics (RSI, ATR, volume ratio); minimal transformation
Impact: May miss subtle cross-feature interactions; relies on agent-level intelligence rather than feature combinations
8. Single-Instrument Data:
Full Implementation: Multi-asset correlation analysis (sector ETFs, currency pairs, volatility indices like VIX), lead-lag relationships, risk-on/risk-off regimes
This Implementation: Only OHLCV data from displayed instrument
Impact: Cannot incorporate broader market context; vulnerable to correlated moves across assets
9. Fixed Performance Horizon:
Full Implementation: Adaptive horizon based on trade duration, volatility regime, or profit target achievement
This Implementation: Fixed 8-bar evaluation window
Impact: May evaluate too early in slow markets or too late in fast markets; one-size-fits-all approach
Performance Impact Summary:
These simplifications make the script:
✅ Faster: Executes in milliseconds vs. seconds (or minutes) for full academic implementations
✅ More Accessible: Runs on any TradingView plan without external data feeds, APIs, or compute servers
✅ More Transparent: All calculations visible in Pine Script (no black-box compiled models)
✅ Lower Resource Usage: <500 bars lookback, minimal memory footprint
⚠️ Less Precise: Approximations may reduce statistical edge by 5-15% vs. academic implementations
⚠️ Limited Scope: Cannot capture tick-level dynamics, multi-order-book interactions, or cross-asset flows
⚠️ Fixed Parameters: Some thresholds hardcoded rather than dynamically optimized
When to Upgrade to Full Implementation:
Consider professional Python/C++ versions with institutional data feeds if:
Trading with >$100K capital where precision differences materially impact returns
Operating in microsecond-competitive environments (HFT, market making)
Requiring regulatory-grade audit trails and reproducibility
Backtesting with tick-level precision for strategy validation
Need true real-time adaptation with neural network-based learning
For retail swing/day trading and position management, these approximations provide sufficient signal quality while maintaining usability, transparency, and accessibility. The core logic—multi-agent detection with adaptive selection—remains intact.
Technical Notes
All calculations use standard Pine Script built-in functions ( ta.ema, ta.atr, ta.rsi, ta.bb, ta.sma, ta.stdev, ta.vwap )
VPIN and Kyle's Lambda use simplified formulas optimized for OHLCV data (see "Lite" section above)
Thompson Sampling uses pseudo-random noise from price/volume decimal digits for beta distribution sampling
No repainting: All calculations use confirmed bar data (no forward-looking)
Maximum lookback: 500 bars (set via max_bars_back parameter)
Performance evaluation: 8-bar forward-looking window for reward calculation (clearly disclosed)
Confidence threshold: Minimum 0.25 (25%) enforced on all signals
Memory arrays: Dynamic sizing with FIFO queue management
Limitations and Disclaimers
Not Predictive: This indicator identifies patterns in historical data. It cannot predict future price movements with certainty.
Requires Human Judgment: Signals are entry triggers, not complete trading strategies. Must be confirmed with your own analysis, risk management rules, and market context.
Learning Period Required: The adaptive system requires 50-100 bars minimum to build statistically meaningful performance data for bandit algorithms.
Overfitting Risk: Restoring memory parameters from one market regime to a drastically different regime (e.g., low volatility to high volatility) may cause poor initial performance until system re-adapts.
Approximation Limitations: Simplified calculations (see "Lite" section) may underperform academic implementations by 5-15% in highly efficient markets.
No Guarantee of Profit: Past performance, whether backtested or live-traded, does not guarantee future performance. All trading involves risk of loss.
Forward-Looking Bias: Performance evaluation uses 8-bar forward window—this creates slight look-ahead for learning (though not for signals). Real-time performance may differ from indicator's internal statistics.
Single-Instrument Limitation: Does not account for correlations with related assets or broader market regime changes.
Recommended Settings
Timeframe: 15-minute to 4-hour charts (sufficient volatility for ATR-based stops; adequate bar volume for learning)
Assets: Liquid instruments with >100k daily volume (forex majors, large-cap stocks, BTC/ETH, major indices)
Not Recommended: Illiquid small-caps, penny stocks, low-volume altcoins (microstructure metrics unreliable)
Complementary Tools: Volume profile, order book depth, market breadth indicators, fundamental catalysts
Position Sizing: Risk no more than 1-2% of capital per signal using ATR-based stop-loss
Signal Filtering: Consider external confluence (support/resistance, trendlines, round numbers, session opens)
Start With: Balanced mode, Thompson Sampling, Blend mode, default agent sensitivities (1.0)
After 30+ Signals: Review agent win rates, consider increasing sensitivity of top performers or locking to dominant agent
Alert Configuration
The script includes built-in alert conditions:
Long Signal: Fires when validated long entry confirmed
Short Signal: Fires when validated short entry confirmed
Alerts fire once per bar (after confirmation requirements met)
Set alert to "Once Per Bar Close" for reliability
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Trend Pulse Algo (LTM)Trend Pulse Algo LTM Indicator Description
Overview
Trend Pulse Algo LTM is an advanced multi layer technical indicator designed for TradingView that combines moving average MA crossovers confirmation signals pivot based structure analysis imbalance zone detection and overextension warnings to identify potential trend shifts continuations and reversal points. It aims to provide traders with reliable entry and exit signals in trending markets while highlighting areas of market inefficiency imbalances and overextended price moves that could signal exhaustion.
This indicator operates on a pulse concept where it detects rhythmic shifts in market momentum through layered MAs a quick MA for short term sensitivity a mid MA for intermediate confirmation and a long MA as a baseline trend filter. Signals are generated based on alignments and crosses between these MAs but with added layers of confirmation to reduce false positives such as requiring consecutive bars above below the long MA and breaks of prior pivot highs lows. It incorporates higher timeframe HTF analysis for imbalance zones to capture broader market context making it suitable for swing trading trend following or scalping on lower timeframes when combined with the overextension detector.
Unlike simple MA crossover systems for example standard dual EMA strategies this algo uses adaptive MA types based on timeframe pivot deviation for structural breaks and a tally based confirmation to filter noise. Imbalance zones identify fair value gaps or inefficiencies between candle bodies and wicks where price may retrace to fill. Overextension is calculated relative to the mid MA using a rolling mean absolute deviation MAD ratio highlighting potential tops bottoms in strong trends. The result is a visually clean or detailed based on mode overlay that colors bars backgrounds plots labels for signals and pivots and draws zones to guide decision making.
How It Works
MA Layers and Signal Generation
Three MAs quick mid long are computed using either SMA or EMA selected dynamically based on the charts timeframe for optimal responsiveness for example EMA on lower TFs for faster signals.
Early Signals A crossover of the quick MA above the mid MA while above the long MA triggers a Possible Bull label indicating early momentum shifts. A crossunder below triggers Possible Bear.
Confirmed Signals Bullish confirmation requires a set number of bars closing above the long MA plus alignment quick greater than mid and a break above the prior pivot high. Bearish requires bars below the long MA and a break below the prior pivot low. This uses a counter mechanism to ensure persistence reducing whipsaws. Breaks are detected via crossovers under of close versus prior highs lows.
State persistence tracks the current regime bull bear warn early coloring the chart accordingly until a new signal overrides it.
Pivot Detection and Structure
Pivots are identified by scanning for highs lows separated by a minimum bar depth with a percentage deviation threshold to confirm validity. This follows a zigzag like approach but with deviation filtering for robustness.
Labels like HH Higher High HL Higher Low LH Lower High LL Lower Low highlight market structure helping identify trends for example HH HL for uptrends or breakdowns. These are used internally to validate signal breaks.
Imbalance Zones
Zones detect imbalances or gaps between candle bodies and prior highs lows where unfilled inefficiencies attract price.
For bullish zones If open greater than close and high minus low two less than zero a zone is drawn from calculated top bottom limits. Bearish similarly for close greater than open.
Supports current TF HTF or both. Zones extend rightward until filled price touches the opposite side or mid line if enabled then either delete or shorten based on settings. Mid lines can act as fill triggers for partial closures.
HTF data is fetched via security for broader context resetting on new HTF bars.
Overextension Indicator
Measures price deviation from the mid MA relative to a rolling average RMA of relative deviations over a length.
Multipliers define tiers mild for example two times avg deviation moderate three times extreme four times. Circles plot above below bars in bull bear states when thresholds are exceeded signaling potential reversals for example red for extreme tops in uptrends. This is akin to a Bollinger Band squeeze expansion but normalized to MA distance for trend specific warnings.
Chart Coloring and Visuals
Background or candle coloring reflects the state green for bull red for bear orange for warn blue for early.
Modes control clutter Clean hides MAs zones pivots Balanced shows essentials Detailed includes all.
How to Use It
Setup Add to your chart via TradingViews indicator search. Adjust inputs based on asset timeframe for example shorter MA periods for volatile cryptos longer for stocks.
Trading Strategy Ideas
Trend Following Enter long on Confirmed Bull labels exit on Confirmed Bear or extreme overextension circles. Use imbalance zones as support resistance for stops targets for example buy dips to unfilled bullish zones.
Reversal Scalping Watch for Possible Bull Bear near pivot labels for example HL LL and overextension in the opposite direction. Confirm with zone fills.
Multi TF Analysis Set HTF to D for daily context on hourly charts zones from HTF often act as magnets.
Risk Management Place stops below prior lows in bulls or above highs in bears. Target zone edges or MA crosses. Avoid trading against strong states without confirmation.
Alerts Set up via TradingView for Early Up Down or Up Down Confirm to notify on signal edges.
Limitations Best in trending markets may lag in ranges. Test on historical data no indicator is foolproof combine with volume price action.
Detailed Input Settings
Below is a comprehensive breakdown of all user adjustable inputs from the settings panel grouped as in the script. Each explains what it controls its effect on the indicators logic and usage tips. Defaults are provided for reference.
Chart Mode
Chart Mode default Detailed Mode options Clean Mode Balanced Mode Detailed Mode
Controls visual detail level. Clean Mode hides MAs imbalance zones and pivots for a minimal overlay focused on signals and coloring. Balanced Mode shows MAs and signals but omits zones pivots. Detailed Mode displays everything for in depth analysis. Use Clean for live trading to reduce clutter Detailed for backtesting structure review.
Display Settings
Color Style default Candles options Background Candles
Determines how states bull bear warn early are visualized. Background colors the chart area for example green shading for bull. Candles colors bar bodies wicks directly. Background is subtler for multi indicator setups Candles emphasizes signals on naked charts.
Imbalance Zone HTF Config
Higher TF Period default D
Sets the higher timeframe for imbalance detection for example D for daily four H for four hour. This fetches broader data to identify significant zones. Use a TF four to five times your current for context for example daily on one H charts avoid very high TFs like W on intraday for relevance.
TF Mode default Current TF options Current TF Current plus HTF HTF Only
Defines timeframe handling for zones. Current TF uses only your charts TF. Current plus HTF combines both for layered zones. HTF Only ignores current TF. Current plus HTF is ideal for multi TF confluence HTF Only simplifies for swing traders.
Shift default ten min zero max five hundred
Horizontal offset in bars for current TF zone labels. Higher values shift labels rightward to avoid overlap. Adjust if labels crowd the chart.
HTF Shift default twenty min zero max five hundred
Similar to Shift but for HTF zone labels. Use larger offsets for HTF to distinguish them visually.
Imbalance Zone Core Options
Mid Line Fill default false
Enables a midpoint line in each zone zones fill close short when price touches this mid line instead of the far edge. Activates partial fill logic for more conservative zone closure. Enable for tighter risk in volatile markets.
Remove Filled Zones default true
If true completely deletes filled zones if false shortens them to the fill point keeping history. True clears clutter false retains context for review.
Display TF on Zone default false
Shows the timeframe for example D IZ on zone labels. Useful for distinguishing current versus HTF zones in combined mode.
Max Upward Zones default twenty min one max fifty
Limits displayed bullish upward zones removes oldest when exceeded. Lower for cleaner charts higher for historical depth.
Max Downward Zones default twenty min one max fifty
Same as above but for bearish downward zones.
Imbalance Zone Visuals
Upward Zone color green at ninety percent transparency
Color for current TF upward imbalance zones. Adjust opacity for visibility.
HTF Upward Zone color lime at eighty percent transparency
Color for higher timeframe upward imbalance zones. Differentiate from current for example lighter shade.
Downward Zone color red at ninety percent transparency
Color for current TF downward imbalance zones.
HTF Downward Zone color maroon at eighty percent transparency
Color for higher timeframe downward imbalance zones.
Mid Line Color color white at eighty five percent transparency
Color for the optional midpoint line in zones.
Text Color color white
Color for text labels on zones.
MA Layers
Quick MA Period default ten min one
Length for the fastest moving average sensitive to short term price. Shorter for example five for scalping longer for example fifteen for less noise.
Mid MA Period default twenty min one
Intermediate MA length used for crossovers and overextension base. Typically two times quick for balance.
Long MA Period default fifty min one
Baseline trend filter length. Longer for example one hundred for major trends shorter for active trading.
MA Variants by Period
Under one H default EMA options SMA EMA
MA type for timeframes under one hour for example EMA for faster response.
One H to less than five H default EMA options SMA EMA
MA type for one to five hour timeframes.
Five H to less than one D default EMA options SMA EMA
MA type for five hour to one day timeframes.
One D plus default EMA options SMA EMA
MA type for daily and higher timeframes. Adapt to market EMA for trends SMA for mean reversion.
Signal Confirmation
Bull Confirm Bars default one min zero
Consecutive bars needed above long MA for bull confirmation. Zero for instant higher for example three filters noise but delays entries.
Bear Confirm Bars default two min zero
Same for bear below long MA. Asymmetrical default higher for bears assumes uptrend bias.
Pivot Detection
Pivot Depth default six min one
Min bars between pivots. Higher reduces minor swings lower captures more structure.
Pivot Deviation percent default one point zero min zero point one
Percent change required for new pivot. Higher ignores small moves for example two percent for stocks zero point five percent for forex.
Display HH and HL default true
Shows labels for Higher Highs Lows bullish structure.
Display LH and LL default true
Shows labels for Lower Highs Lows bearish structure.
Overextension Indicator
Show Overextension Circles Potential Tops default true
Enables circles above bars in bull states for potential tops.
Show Overextension Circles Potential Bottoms default true
Enables below bars in bear states for bottoms.
Overextension Length default fourteen min one
Period for rolling relative deviation average. Matches RSI STOCH defaults for alignment.
Mild Multiplier default two point zero min zero point zero
Threshold for mild overextension yellow circle. Zero disables tier.
Moderate Multiplier default three point zero min zero point zero
For moderate orange.
Extreme Multiplier default four point zero min zero point zero
For extreme red. Tune lower for sensitive warnings in ranging markets.
Transactional Rate of Change (TROC)TRANSACTIONAL RATE OF CHANGE (TROC) INDICATOR
Transaction Rate of Change (TROC) is an advanced momentum indicator that analyzes the rate of change in cumulative inferred buy/sell volume data to identify shifts in buying and selling acceleration and deceleration of transaction flow, providing early signals of potential trend changes, exhaustion/absorption, and momentum shifts. It builds further upon the official Volume Delta indicator released by TradingView.
If a stock price is a rocket climbing , then volume delta is the total fuel burned, and TROC is the fuel burn rate . A rocket can keep rising even after engines start throttling down (decelerating TROC), but it won't go much higher without more thrust. When TROC shows extreme positive readings, the engines are at maximum burn—expect explosive price movement. When TROC drops to zero while price is still high, the fuel is depleted and gravity (selling pressure) takes over. Are buyers pushing on the gas, or are they backing off? Are more buyers coming to the table, or are they losing interest or taking profits? Are excited retail buying highs while smart money close their positions using the excited retail liquidity?
KEY FEATURES
• Volume Delta Analysis - Approximates up and down volume from lower timeframe data to calculate true buying vs. selling pressure.
• Rate of Change Calculation - Measures the momentum of cumulative delta over a customizable period. Essentially, it displays the rate of change between buying and selling. How fast is it going, is it slowing, how excited are they?
• Momentum State Detection - Automatically identifies four distinct market states: accelerating up, decelerating up, accelerating down, and decelerating down
• Extreme Threshold Zones - Bands based on standard deviation to highlight unusually high or low transaction rates, helping to spot potential extreme values, blow offs, and capitulation.
• Z-Score Normalization - Optional standardization for comparing momentum across different timeframes and instruments.
• Momentum Strength Index (MSI) - Filters out weak signals by highlighting only bars with momentum exceeding a threshold.
• Flexible Reset Modes - Reset cumulative delta daily, weekly, monthly, or per session to prevent data drift, or leave it default for continual cumulative data.
APPLICATION
Trend Confirmation
When price makes a new high but TROC is decelerating (lighter colors), it suggests weakening buying pressure and potential exhaustion. Conversely, strong acceleration (darker colors) confirms robust trend continuation. Either buyers are supporting the move, or they aren't. Same goes for selling. It can also assist spotting short covering.
Divergence Trading
Use it similar to MACD divergence strategies. Is price movement confirmed by expansion in TROC, or is the TROC showing weakness while price is continuing it's trend?
Momentum Breakouts
When TROC crosses above the upper threshold zone with strong momentum (MSI activated), it signals institutional-level buying that often precedes significant price moves. Use this for breakout entries.
Mean Reversion
Extreme readings beyond the threshold zones often precede short-term reversals as transaction rates normalize. Consider taking profits or counter-trend positions when TROC reaches statistical extremes. Utilizing the extreme threshold bands can help you identify tops and bottoms.
Absorption Detection
Spot areas where buying or selling is being done, but price is hitting a wall or floor and not moving. This can indicate a hidden seller or a buyer reloading at price levels/zones.
SETTINGS
Timeframe for Volume Delta Calculation
Select the lower timeframe used to calculate buying and selling volume. Default: 1S (1 second)
• 1S or 5S - Maximum precision for scalping and intraday trading on liquid markets
• 1m or 5m - Balanced precision for swing trading and less liquid instruments
• Higher timeframes - Provide more historical data but reduce accuracy
Note: Higher frequency data yields more accurate delta calculations but may not be available for all symbols or historical periods. If you are using higher timeframes (Daily, Weekly) you will need to change this setting to a higher timeframe.
Rate of Change Period
Determines how many bars back to measure the momentum change. Default: 14
• Short periods (7-10) - More responsive, ideal for scalping and quick momentum shifts
• Medium periods (14-20) - Balanced sensitivity for day trading
• Long periods (25-50) - Smoother readings for swing trading and trend analysis
Shorter periods generate more signals but increase false positives; longer periods reduce noise but may lag significant changes.
Extreme Threshold Zones
Bands that highlight unusual transaction rate extremes based on standard deviation.
• Show Zones - Enable/disable the upper and lower threshold lines (Default: Enabled)
• Multiplier - Standard deviation multiplier for zone placement (Default: 2.0)
Values of 1.5-2.0 catch moderate extremes
Values of 2.5-3.0 identify only the most extreme readings
• Lookback Period - Number of bars used to calculate mean and standard deviation (Default: 100)
Shorter lookback (50-75) adapts faster to changing market conditions
Longer lookback (150-200) provides more stable, consistent zones
Smooth Cumulative Delta
Applies Adaptive Moving Average to reduce noise in the cumulative volume delta before calculating rate of change. Default: Enabled
• Smoothing Length - period (Default: 5)
Lower values (3-5) preserve responsiveness
Higher values (7-10) significantly reduce noise on choppy markets
Smoothing is particularly useful on volatile instruments or when using very short ROC periods.
Momentum Strength Index (MSI)
Filters the histogram to highlight only bars exceeding a specified momentum threshold, eliminating weak signals.
• Show MSI - Enable/disable momentum strength filtering (Default: Disabled)
• MSI Threshold - Minimum momentum strength multiplier (Default: 2.0)
Values of 1.5-2.0 show above-average momentum
Values of 2.5-3.5 isolate only exceptional momentum bars
When enabled, bars meeting the threshold display in the "Strong Up/Down" colors, while normal bars use standard momentum colors.
Display Settings
• Histogram Bar Width - Visual thickness of the columns (Default: 1, Range: 1-10)
• Use Z-Score Normalization - Standardizes TROC values for cross-asset comparison (Default: Disabled)
Enable when comparing multiple instruments or timeframes simultaneously
Z-Score converts values to standard deviations from the mean
• Z-Score Threshold - When using Z-Score Normalization mode, sets the extreme zone levels (Default: 2.0)
Represents standard deviations from mean (2.0 = ~95% confidence interval)
Cumulative Transaction Reset
Determines when the cumulative volume delta resets to zero, preventing infinite accumulation. Default: None
• None - Cumulative delta never resets (continues from symbol history start)
• Daily - Resets at the start of each new trading day
• Weekly - Resets at the start of each week
• Monthly - Resets at the start of each month
• On session change - Resets when market opens (useful for 24-hour markets)
Reset modes prevent cumulative drift that can distort ROC calculations over extended periods.
Color Customization Fully customizable color scheme.
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Note: This indicator requires volume data from your data vendor. It uses inferred buy/sell volume. To learn more, read the TradingView Volume Delta documentation. Optimal performance is achieved on liquid instruments with high-frequency data.
Bifurcation Point Adaptive (Auto Oscillator ML)Bifurcation Point Adaptive - Auto Oscillator ML
Overview
Bifurcation Point Adaptive (🧬 BPA-ML) represents a paradigm shift in divergence-based trading systems. Rather than relying on static oscillator settings that quickly become obsolete as market dynamics shift, BPA-ML employs multi-armed bandit machine learning algorithms to continuously discover and adapt to the optimal oscillator configuration for your specific instrument and timeframe. This self-learning core is enhanced by a Cognitive Analytical Engine (CAE) that provides market-state intelligence, filtering out low-probability setups before they reach your chart.
The result is a system that doesn't just detect divergences - it understands context, learns from outcomes, and evolves with the market.
What Sets This Apart: Technical Comparison
The TradingView community has many excellent divergence indicators and several claiming "machine learning" capabilities. However, a detailed technical analysis reveals that BPA-ML operates at a fundamentally different level of sophistication.
Machine Learning: Real vs Marketing
Most indicators labeled "ML" or "AI" on TradingView use one of three approaches:
K-Nearest Neighbors (KNN): These indicators find similar historical patterns and assume current price will behave similarly. This is pattern matching, not learning. The system doesn't improve over time or adapt based on outcomes - it simply searches historical data for matches.
Clustering (K-Means): These indicators group volatility or market states into categories (high/medium/low). This is statistical classification, not machine learning. The clusters are recalculated but don't learn which classifications produce better results.
Gaussian Process Regression (GPR): These indicators use kernel weighting to create responsive moving averages. This is advanced curve fitting, not learning. The system doesn't evaluate outcomes or adjust strategy.
BPA-ML's Approach: True Reinforcement Learning
BPA-ML implements multi-armed bandit algorithms - a proven reinforcement learning technique used in clinical trials, A/B testing, and recommendation systems. This is fundamentally different:
Exploration vs Exploitation: The system actively balances trying new configurations (exploration) against using proven winners (exploitation). KNN and clustering don't do this - they simply process current data against historical patterns.
Reward-Based Learning: Every configuration is scored based on actual forward returns, normalized by volatility and clipped to prevent outlier dominance. The system receives a bonus when signals prove profitable. This creates a feedback loop where the indicator literally learns what works for your specific instrument and timeframe.
Four Proven Algorithms: UCB1 (Upper Confidence Bound), Thompson Sampling (Bayesian), Epsilon-Greedy, and Gradient-based learning. Each has different exploration characteristics backed by peer-reviewed research. You're not getting marketing buzzwords - you're getting battle-tested algorithms from academic computer science.
Continuous Adaptation: The learning never stops. As market microstructure evolves, the bandit discovers new optimal configurations. Other "adaptive" indicators recalculate but don't improve - they use the same logic on new data. BPA-ML fundamentally changes which logic it uses based on what's working.
The Configuration Grid: 40 Arms vs Fixed Settings
Traditional divergence indicators use a single oscillator with fixed parameters - typically RSI with length 14. More advanced systems might let you choose between RSI, Stochastic, or CCI, but you're still picking one manually.
BPA-ML maintains a grid of 40 candidate configurations:
- 5 oscillator families (RSI, Stochastic, CCI, MFI, Williams %R)
- 4 length parameters (short, medium, medium-long, long)
- 2 smoothing settings (fast, slow)
The bandit evaluates all 40 continuously and automatically selects the optimal one. When market microstructure changes - say, from trending crypto to ranging forex - the system discovers this and switches configurations without your intervention.
Why This Matters: Markets exhibit different characteristics. Bitcoin on 5-minute charts might favor fast Stochastic (high sensitivity to quick moves), while EUR/USD on 4-hour charts might favor smoothed RSI (filtering noise in steady trends). Manual optimization is guesswork. The bandit discovers these nuances mathematically.
Cognitive Analytical Engine: Beyond Simple Filters
Many divergence indicators include basic filters - perhaps checking if RSI is overbought/oversold or if volume increased. These are single-metric gates that treat all market states the same.
BPA-ML's CAE synthesizes five intelligence layers into a comprehensive market-state assessment:
Trend Conviction Score (TCS): Combines ADX normalization, multi-timeframe EMA alignment, and structural persistence. This isn't just "is ADX above 25?" - it's a weighted composite that captures trending vs ranging regimes with nuance. The threshold itself is adaptive via mini-bandit if enabled.
Directional Momentum Alignment (DMA): ATR-normalized EMA spread creates a regime-aware momentum indicator. The same price move reads differently in high vs low volatility environments. Most indicators ignore this context.
Exhaustion Modeling: Aggregates volume spikes, pin bar formations, extended runs without pullback, and extreme oscillator readings into a unified probability of climax. This multi-factor approach catches exhaustion signals that single metrics miss. High exhaustion can override trend filters - allowing reversal trades at genuine turning points that basic filters would block.
Adversarial Validation: Before approving a bullish signal, the engine quantifies both the bull case AND the bear case. If the opposing case dominates by a threshold, the signal is blocked. This is game-theory applied to trading - most indicators don't check if you're fighting obvious strength in the opposite direction.
Confidence Scoring: Every signal receives a 0-1 quality score blending all CAE components plus divergence strength. You can size positions by confidence - a concept absent in most divergence indicators that treat all signals identically.
Adaptive Parameters: Mini-Bandits
Even the filtering thresholds themselves learn. Most indicators have you set pivot lookback periods, minimum divergence strength, and trend filter strictness manually. These are instrument-specific - what works for one asset fails on another.
BPA-ML's mini-bandits optimize:
- Pivot lookback strictness (balance between catching small structures vs requiring major swings)
- Minimum slope change threshold (filter weak divergences vs allow early entries)
- TCS threshold for trend filtering (how strict counter-trend blocking should be)
These learn the same way the oscillator bandit does - via reward scoring and outcome evaluation. The entire system personalizes to your trading context.
Visual Intelligence: Five Presentation Modes
Most indicators offer basic customization - perhaps choosing colors or line thickness. BPA-ML includes five distinct visual modes, each designed for specific use cases:
Quantum Mode: Renders signals as probability clouds where opacity encodes confidence. High-confidence signals are bold and opaque; low-confidence signals are faint and translucent. This visually guides position sizing in a way that static markers cannot. No other divergence indicator I've found uses confidence-based visual encoding.
Holographic Mode: Multi-layer gradient bands create depth perception showing signal quality zones. Excellent for teaching and presentations.
Cyberpunk Mode: Neon centerlines with particle glow trails. High-contrast for immersive dark-theme trading.
Standard Mode: Professional dashed lines and zones. Clean, presentation-ready.
Minimal Mode: Maximum performance for backtesting and low-powered devices.
The visual system isn't cosmetic - it's part of the decision support infrastructure.
Dashboard: Real-Time Intelligence
Many indicators include dashboards showing current indicator values or basic statistics. BPA-ML's dashboard is a comprehensive control center:
Oscillator Section: Shows which configuration is currently selected, why it's selected (pull statistics, reward scores), and learning progression (warmup, learning, active).
CAE Section: Real-time TCS, DMA, Exhaustion, Adversarial cases, and Confidence scores with visual indicators (emoji-coded states, bar graphs, trend arrows).
Bandit Performance: Algorithm selection, mode (Switch vs Blend), arm distribution, differentiation metrics, learning diagnostics.
State Metrics Grid (Large mode): Normalized readings for trend alignment, momentum, volatility, volume flow, Bollinger position, ROC, directional movement, oscillator bias - all synthesized into a composite market state.
This level of transparency is rare. Most "black box" indicators hide their decision logic. BPA-ML shows you exactly why it's making decisions in real-time, enabling informed discretionary overrides.
Repainting: Complete Transparency
Many divergence indicators don't clearly disclose repainting behavior. BPA-ML offers three explicit timing modes:
Realtime: Shows developing signals on current bar. Repaints by design - this is a preview mode for learning, not for trading.
Confirmed: Signals lock at bar close. Zero repainting. Recommended for live trading.
Pivot Validated: Waits for full pivot confirmation (5+ bar delay). Highest purity, zero repainting, ideal for backtesting divergence quality.
You choose the mode based on your priority - speed vs certainty. The transparency empowers rather than obscures.
Educational Value: Learning Platform
Most indicators are tools - you use them, but you don't learn from them. BPA-ML is designed as a learning platform:
Advisory Mode: Signals always appear, but blocked signals receive warning annotations explaining why CAE would have filtered them. You see the decision logic in action without missing learning opportunities.
Dashboard Transparency: Real-time display of all metrics shows exactly how market state influences decisions.
Comprehensive Documentation: In-indicator tooltips, extensive publishing statement, and user guides explain not just what to click, but why the algorithms work and how to apply them strategically.
Algorithm Comparisons: By trying different bandit algorithms (UCB1 vs Thompson vs Epsilon vs Gradient), you learn the differences between exploration strategies - knowledge applicable beyond trading.
This isn't just a signal generator - it's an educational tool that teaches machine learning concepts, market intelligence interpretation, and systematic decision-making.
What This System Is NOT
To be completely transparent about positioning:
Not a Prediction System: BPA-ML doesn't predict future prices. It identifies structural divergences, assesses current market state, and learns which oscillator configurations historically correlated with better forward returns. The learning is retrospective optimization, not fortune telling.
Not Fully Automated: This is a decision support tool, not a push-button profit machine. You still need to execute trades, manage risk, and apply discretionary judgment. The confidence scores guide position sizing, but you determine final risk allocation.
Not Beginner-Friendly: The sophistication comes with complexity. This system requires understanding of divergence trading, basic machine learning concepts, and market state interpretation. It's designed for intermediate to advanced traders willing to invest time in learning the system.
Not Magic: Even with optimal configurations and intelligent filtering, markets are probabilistic. Losing trades are inevitable. The system improves your probability distribution - it doesn't eliminate risk or guarantee profits.
The Fundamental Difference
Here's the core distinction:
Traditional Divergence Indicators: Detect patterns and hope they work.
"ML" Indicators (KNN/Clustering): Detect patterns and compare to historical similarities.
BPA-ML: Detects patterns, evaluates outcomes, learns which detection methods work best for this specific context, understands market state before suggesting trades, and continuously improves without manual intervention.
The difference isn't incremental - it's architectural. This is trading system infrastructure with embedded intelligence, not just a pattern detector with filters.
Who This Is For
BPA-ML is ideal for traders who:
- Value systematic approaches over discretionary guessing
- Appreciate transparency in decision logic
- Are willing to let systems learn over 200+ bars before judging performance
- Trade liquid instruments on 5-minute to daily timeframes
- Want to learn machine learning concepts through practical application
- Seek professional-grade tools without institutional price tags
It's not ideal for:
- Absolute beginners needing simple plug-and-play systems
- 1-minute scalpers (noise dominates at very low timeframes)
- Traders of illiquid instruments (insufficient data for learning)
- Those seeking magic solutions without understanding methodology
- Impatient optimizers wanting instant perfection
What Makes This Original
The innovation in BPA-ML lies in three interconnected breakthroughs that work synergistically:
1. Multi-Armed Bandit Oscillator Selection
Traditional divergence indicators require manual optimization - you choose RSI with a length of 14, or Stochastic with specific settings, and hope they work. BPA-ML eliminates this guesswork through machine learning. The system maintains a grid of 40 candidate oscillator configurations spanning five oscillator families (RSI, Stochastic, CCI, MFI, Williams %R), four length parameters, and two smoothing settings. Using proven bandit algorithms (UCB1, Thompson Sampling, Epsilon-Greedy, or Gradient-based learning), the system continuously evaluates which configuration produces the best forward returns and automatically switches to the winning arm. This isn't random testing - it's intelligent exploration with exploitation, balancing the discovery of new opportunities against leveraging proven configurations.
2. Cognitive Analytical Engine (CAE)
Divergences occur constantly, but most fail. The CAE solves this by computing a comprehensive market intelligence layer:
Trend Conviction Score (TCS): Synthesizes ADX normalization, multi-timeframe EMA alignment, and structural persistence into a single 0-1 metric that quantifies how strongly the market is trending. When TCS exceeds your threshold, the system knows to avoid counter-trend trades unless other factors override.
Directional Momentum Alignment (DMA): Measures the spread between fast and slow EMAs, normalized by ATR. This creates a regime-aware momentum indicator that adjusts its interpretation based on current volatility.
Exhaustion Modeling: Aggregates volume spikes, pin bar formations, extended runs above/below EMAs, and extreme RSI readings into a probability that the current move is reaching climax. High exhaustion can override trend filters, allowing reversal trades at genuine turning points.
Adversarial Validation: Before approving a bullish signal, the engine quantifies both the bull case (proximity to support EMAs, oversold conditions, volume confirmation) and the bear case (distance to resistance, overbought conditions). If the opposing case dominates by your threshold, the signal is blocked or flagged with a warning.
Confidence Scoring: Every signal receives a 0-1 confidence score blending TCS, momentum magnitude, pullback quality, market state metrics, divergence strength, and adversarial advantage. You can gate signals on minimum confidence, ensuring only high-probability setups reach your attention.
3. Adaptive Parameter Mini-Bandits
Beyond the oscillator itself, BPA-ML uses additional bandit systems to optimize:
- Pivot lookback strictness
- Minimum slope change threshold
- TCS threshold for trend filtering
These parameters are often instrument-specific. The adaptive bandits learn these nuances automatically.
Why These Components Work Together
Each layer serves a specific purpose in the signal generation hierarchy:
Layer 1 - Oscillator Selection: The bandit ensures you're always using the oscillator configuration best suited to current market microstructure.
Layer 2 - Divergence Detection: With the optimal oscillator selected, the engine scans for structural divergences using confirmed pivots.
Layer 3 - CAE Filtering: Raw divergences are validated against market intelligence.
Layer 4 - Spacing & Timing: Quality signals need proper spacing to avoid over-trading.
This isn't a random collection of indicators. It's a decision pipeline where each stage refines signal quality, and the machine learning ensures the entire system stays calibrated to your specific trading context.
Core Components - Deep Dive
Divergence Engine
The foundation is a dual-mode divergence detector:
Regular Divergence: Price makes a higher high while oscillator makes a lower high (bearish), or price makes a lower low while oscillator makes a higher low (bullish). These signal potential reversals.
Hidden Divergence: Price makes a lower high while oscillator makes a higher high (bullish continuation), or price makes a higher low while oscillator makes a lower low (bearish continuation). These signal trend strength.
Pivots are confirmed using symmetric lookback periods. Divergence strength is quantified via slope separation between price and oscillator.
Signal Timing Modes
Realtime (live preview): Shows potential signals on current bar. Repaints by design. Use for learning only.
Confirmed (1-bar delay): Signals lock at bar close. No repainting. Recommended for live trading.
Pivot Validated: Waits for full pivot confirmation (5+ bar delay). Highest purity, best for backtesting.
Multi-Armed Bandit Algorithms
UCB1: Optimism under uncertainty. Excellent balance for most use cases.
Thompson Sampling: Bayesian approach with smooth exploration. Great for long-term adaptation.
Epsilon-Greedy: Simple exploitation with random exploration. Easy to understand.
Gradient-based: Lightweight weight adjustment based on rewards. Fast and efficient.
Bandit Operating Modes
Switch Mode: Uses top-ranked arm directly. Maximum amplitude, crisp signals.
Blend Mode: Softmax mixture with dominant-arm preservation. Ensemble stability while maintaining amplitude for overbought/oversold crossings.
How to Use This Indicator
Initial Setup
1. Apply BPA-ML to your chart
2. Select visual mode (Minimal/Standard/Holographic/Cyberpunk/Quantum)
3. Choose signal timing - "Confirmed (1-bar delay)" for live trading
4. Set Oscillator Type to "Auto (ML)" and enable it
5. Select bandit algorithm - UCB1 recommended
6. Choose Blend mode with temperature 0.4-0.5
CAE Configuration
Start with "Advisory" mode to learn the system. Signals appear with warnings if CAE would have blocked them.
Switch to "Filtering" mode when comfortable - CAE actively blocks low-quality signals.
Enable the three primary filters:
- Strong Trend Filter
- Adversarial Validation
- Confidence Gating
Parameter Guidance by Trading Style
Scalping (1-5 minute charts):
- Algorithm: Thompson or UCB1
- Mode: Blend (temp 0.3-0.4)
- Horizon: 8-12 bars
- Min Confidence: 0.30-0.40
- TCS Threshold: 0.70-0.80
- Spacing: 8-12 any, 16-24 same-side
Day Trading (15min-1H charts):
- Algorithm: UCB1
- Mode: Blend (temp 0.4-0.6)
- Horizon: 12-24 bars
- Min Confidence: 0.35-0.45
- TCS Threshold: 0.80-0.85
- Spacing: 12-20 any, 20-30 same-side
Swing Trading (4H-Daily charts):
- Algorithm: UCB1 or Thompson
- Mode: Blend (temp 0.6-1.0) or Switch
- Horizon: 20-40 bars
- Min Confidence: 0.40-0.55
- TCS Threshold: 0.85-0.95
- Spacing: 20-40 any, 30-60 same-side
Signal Interpretation
Bullish Signals: Green markers below price. Enter long when detected.
Bearish Signals: Red markers above price. Enter short when detected.
Blocked Signals: Orange X markers show filtered signals (Advisory mode).
Confidence Rings: Single ring at 50%+ confidence, double at 70%+. Use for position sizing.
Dashboard Metrics
Oscillator Section: Shows active type, value, state, and parameters.
Cognitive Engine:
- TCS: 0.80+ indicates strong trend
- DMA: Momentum direction and strength
- Exhaustion: 0.75+ warns of reversal
- Bull/Bear Case: Adversarial scoring
- Differential: Net directional advantage
Bandit Performance: Shows algorithm, mode, selected configuration, and learning diagnostics.
Visual Zones
- Bullish Zone: Blue/cyan tint - favorable for longs
- Bearish Zone: Red/magenta tint - favorable for shorts
- Exhaustion Zone: Yellow warning - reduce sizing
Visual Mode Selection
Minimal: Clean triangles, maximum performance
Standard: Dashed lines with zones, professional presentation
Holographic: Gradient bands, excellent for teaching
Cyberpunk: Neon glow trails, high contrast
Quantum: Probability cloud with confidence-based opacity
Calculation Methodology
Oscillator Computation
For each bandit arm: calculate base oscillator, apply smoothing, normalize to 0-100.
Switch mode: use top arm directly.
Blend mode: softmax mixture blended with dominant arm (70/30) to preserve amplitude.
Divergence Detection
1. Identify price and oscillator pivots using symmetric periods
2. Store recent pivots with bar indices
3. Scan for slope disagreements within lookback range
4. Require minimum slope separation
5. Classify as regular or hidden divergence
6. Compute strength score
CAE Metrics
TCS: 0.35×ADX + 0.35×structural + 0.30×alignment
DMA: (EMA21 - EMA55) / ATR14
Exhaustion: Aggregates volume, divergence, RSI extremes, pins, extended runs
Confidence: 0.30×TCS + 0.25×|DMA| + 0.20×pullback + 0.15×state + 0.10×divergence + adversarial
Bandit Rewards
Every horizon period: compute log return normalized by ATR, clip to ±0.5, bonus if signal was positive. Update arm statistics per algorithm.
Ideal Market Conditions
Best Performance:
- Liquid instruments with clear structure
- Trending markets with consolidations
- 5-minute to daily timeframes
- Consistent volume and participation
Learning Requirements:
- Minimum 200 bars for warmup
- Ideally 500-1000 bars for full confidence
- Performance improves as bandit accumulates data
Challenging Conditions:
- Extremely low liquidity
- Very low timeframes (1-minute or below)
- Extended sideways consolidation
- Fundamentally-driven gap markets
Dashboard Interpretation Guide
TCS:
- 0.00-0.50: Weak trend, reversals viable
- 0.50-0.75: Moderate trend, mixed approach
- 0.75-0.85: Strong trend, favor continuation
- 0.85-1.00: Very strong trend, counter-trend high risk
DMA:
- -2.0 to -1.0: Strong bearish
- -0.5 to 0.5: Neutral
- 1.0 to 2.0: Strong bullish
Exhaustion:
- 0.00-0.50: Fresh move
- 0.50-0.75: Mature, watch for reversals
- 0.75-0.85: High exhaustion
- 0.85-1.00: Critical, reversal imminent
Confidence:
- 0.00-0.30: Low quality
- 0.30-0.50: Moderate quality
- 0.50-0.70: High quality
- 0.70-1.00: Premium quality
Common Questions
Why no signals?
- Blend mode: lower temperature to 0.3-0.5
- Loosen OB/OS to 65/35
- Lower min confidence to 0.35
- Reduce spacing requirements
- Use Confirmed instead of Pivot Validated
Why frequent oscillator switching?
- Normal during warmup (first 200+ bars)
- After warmup: may indicate regime shifting market
- Lower temperature in Blend mode
- Reduce learning rate or epsilon
Blend vs Switch?
Use Switch for backtesting and maximum exploitation.
Use Blend for live trading with temperature 0.3-0.5 for stability.
Recalibration frequency?
Never needed. System continuously adapts via bandit learning and weight decay.
Risk Management Integration
Position Sizing:
- 0.30-0.50 confidence: 0.5-1.0% risk
- 0.50-0.70 confidence: 1.0-1.5% risk
- 0.70+ confidence: 1.5-2.0% risk (maximum)
Stop Placement:
- Reversals: beyond divergence pivot plus 1.0-1.5×ATR
- Continuations: beyond recent swing opposite direction
Targets:
- Primary: 2-3×ATR from entry
- Scale at interim levels
- Trail after 1.5×ATR in profit
Important Disclaimers
BPA-ML is an advanced technical analysis tool for identifying high-probability divergence patterns and assessing market state. It is not a complete trading system. Machine learning components adapt to historical patterns, which does not guarantee future performance. Proper risk management, position sizing, and additional confirmation methods are essential. No indicator eliminates losing trades.
Backtesting results may differ from live performance due to execution factors and dynamic bandit learning. Always validate on demo before committing real capital. CAE filtering reduces but does not eliminate false signals. Market conditions change rapidly. Use appropriate stops and never risk excessive capital on any single trade.
— Dskyz, Trade with insight. Trade with anticipation.
Smart Liquidity & OTE Analysis Tool # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (🟢 Open / 🔴 Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
* **Wick Break:** Any candle wick extending beyond the liquidity level
* **Close Break:** Candle body closing beyond the level (stronger confirmation)
* **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (✓) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
* **0.618** - The "golden ratio" retracement (most significant)
* **0.705** - Mid-point between 0.618 and 0.786
* **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (✅) or exited without filling (❌)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (🎯) indicate bullish or bearish OTE zones
- Entry (✅) and exit (❌) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open →
- Followed by a retrace into a bullish OTE zone →
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
✓ Identifies high-probability institutional trading zones
✓ Provides clear visual roadmap of likely price targets
✓ Reduces chart clutter with configurable history limits
✓ Works across multiple timeframes and instruments
✓ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
✗ Does not provide entry/exit arrows (intentional - requires trader discretion)
✗ Does not guarantee winning trades (no indicator does)
✗ Does not work in isolation (combine with price action/market context)
✗ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
Pinbar MTF - No Repaint# Pinbar MTF - No Repaint Indicator
## Complete Technical Documentation
---
## 📊 Overview
**Pinbar MTF (Multi-Timeframe) - No Repaint** is a professional-grade TradingView Pine Script indicator designed to detect high-probability pinbar reversal patterns with advanced filtering systems. The indicator is specifically engineered to be **100% non-repainting**, making it reliable for both live trading and backtesting.
### Key Features
✅ **Non-Repainting** - Signals only appear AFTER bar closes, never disappear
✅ **Three-Layer Filter System** - ATR, SWING, and RSI filters
✅ **Automatic SL/TP Calculation** - Based on risk:reward ratios
✅ **Real-time Alerts** - TradingView notifications for all signals
✅ **Visual Trade Management** - Lines, labels, and areas for entries, stops, and targets
✅ **Backtesting Ready** - Reliable historical data for strategy testing
---
## 🎯 What is a Pinbar?
A **Pinbar (Pin Bar/Pinocchio Bar)** is a single candlestick pattern that indicates a potential price reversal:
### Bullish Pinbar (BUY Signal)
- **Long lower wick** (rejection of lower prices)
- **Small body at the top** of the candle
- Shows buyers rejected sellers' attempt to push price down
- Forms at support levels or swing lows
- Entry signal for LONG positions
### Bearish Pinbar (SELL Signal)
- **Long upper wick** (rejection of higher prices)
- **Small body at the bottom** of the candle
- Shows sellers rejected buyers' attempt to push price up
- Forms at resistance levels or swing highs
- Entry signal for SHORT positions
---
## 🔧 How the Indicator Works
### 1. **Pinbar Detection Logic**
The indicator analyzes the **previous closed bar ** to identify pinbar patterns:
```
Bullish Pinbar Requirements:
- Lower wick > 72% of total candle range (adjustable)
- Upper wick < 28% of total candle range
- Close > Open (bullish candle body)
Bearish Pinbar Requirements:
- Upper wick > 72% of total candle range (adjustable)
- Lower wick < 28% of total candle range
- Close < Open (bearish candle body)
```
**Why check ?** By analyzing the previous completed bar, we ensure the pattern is fully formed and won't change, preventing repainting.
---
### 2. **Three-Layer Filter System**
#### 🔍 **Filter #1: ATR (Average True Range) Filter**
- **Purpose**: Ensures the pinbar has significant size
- **Function**: Only signals if pinbar range ≥ ATR value
- **Benefit**: Filters out small, insignificant pinbars
- **Settings**:
- Enable/Disable toggle
- ATR Period (default: 7)
**Example**: If ATR = 50 pips, only pinbars with 50+ pip range will signal.
---
#### 🔍 **Filter #2: SWING Filter** (Always Active)
- **Purpose**: Confirms pinbar forms at swing highs/lows
- **Function**: Validates the pinbar is an absolute high/low
- **Benefit**: Identifies true reversal points
- **Settings**:
- Swing Candles (default: 3)
**How it works**:
- For bullish pinbar: Checks if low is lowest of past 3 bars
- For bearish pinbar: Checks if high is highest of past 3 bars
**Example**: With 3 swing candles, a bullish pinbar must have the lowest low among the last 3 bars.
---
#### 🔍 **Filter #3: RSI (Relative Strength Index) Filter**
- **Purpose**: Confirms momentum conditions
- **Function**: Prevents signals in extreme momentum zones
- **Benefit**: Avoids counter-trend trades
- **Settings**:
- Enable/Disable toggle
- RSI Period (default: 7)
- RSI Source (Close, Open, High, Low, HL2, HLC3, OHLC4)
- Overbought Level (default: 70)
- Oversold Level (default: 30)
**Logic**:
- Bullish Pinbar: Only signals if RSI < 70 (not overbought)
- Bearish Pinbar: Only signals if RSI > 30 (not oversold)
---
### 3. **Stop Loss Calculation**
Two methods available:
#### Method A: ATR-Based Stop Loss (Recommended)
```
Bullish Pinbar:
SL = Pinbar Low - (1 × ATR)
Bearish Pinbar:
SL = Pinbar High + (1 × ATR)
```
**Benefit**: Dynamic stops that adapt to market volatility
#### Method B: Fixed Pips Stop Loss
```
Bullish Pinbar:
SL = Pinbar Low - (Fixed Pips)
Bearish Pinbar:
SL = Pinbar High + (Fixed Pips)
```
**Settings**:
- Calculate Stop with ATR (toggle)
- Stop Pips without ATR (default: 5)
---
### 4. **Take Profit Calculation**
Take Profit is calculated based on Risk:Reward ratio:
```
Bullish Trade:
TP = Entry + (Entry - SL) × Risk:Reward Ratio
Bearish Trade:
TP = Entry - (SL - Entry) × Risk:Reward Ratio
```
**Example**:
- Entry: 1.2000
- SL: 1.1950 (50 pip risk)
- RR: 2:1
- TP: 1.2100 (100 pip reward = 50 × 2)
**Settings**:
- Risk:Reward Ratio (default: 1.0, range: 0.1 to 10.0)
---
## 📈 Visual Elements
### On-Chart Displays
1. **Signal Markers**
- 🟢 **Green Triangle Up** = Bullish Pinbar (BUY)
- 🔴 **Red Triangle Down** = Bearish Pinbar (SELL)
- Placed directly on the pinbar candle
2. **Entry Labels**
- Green "BUY" label with entry price
- Red "SELL" label with entry price
- Shows exact entry level
3. **Stop Loss Lines**
- 🔴 Red horizontal line
- "SL" label
- Extends 20 bars forward
4. **Take Profit Lines**
- 🟢 Green horizontal line
- "TP" label
- Extends 20 bars forward
5. **Risk/Reward Areas** (Optional)
- Red shaded box = Risk zone (Entry to SL)
- Green shaded box = Reward zone (Entry to TP)
- Visual risk:reward visualization
6. **Info Table** (Top Right)
- Displays current settings
- Shows filter status (ON/OFF)
- Real-time RSI value
- Quick reference panel
---
## 🔔 Alert System
Three alert types available:
### 1. Combined Alert: "Pinbar Signal (Any Direction)"
- Fires for BOTH bullish and bearish pinbars
- **Best for**: General monitoring
- **Message**: "Pinbar Signal Detected on {TICKER} at {PRICE}"
### 2. Bullish Alert: "Bullish Pinbar Alert"
- Fires ONLY for BUY signals
- **Best for**: Long-only strategies
- **Message**: "BUY Signal on {TICKER} at {PRICE}"
### 3. Bearish Alert: "Bearish Pinbar Alert"
- Fires ONLY for SELL signals
- **Best for**: Short-only strategies
- **Message**: "SELL Signal on {TICKER} at {PRICE}"
---
## ⚙️ Input Parameters Reference
### **Filters Group**
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| ATR Filter on Pinbar Range? | ✅ ON | Boolean | Enable/disable ATR filter |
| ATR Period | 7 | 1+ | Lookback period for ATR calculation |
| Swing Candles | 3 | 1+ | Bars to check for swing high/low |
| RSI Filter on Pinbar? | ❌ OFF | Boolean | Enable/disable RSI filter |
| RSI Period | 7 | 2+ | Lookback period for RSI calculation |
| RSI Source | Close | Multiple | Price data for RSI (Close/Open/High/Low/etc) |
| RSI Overbought Level | 70 | 50-100 | Upper threshold for RSI filter |
| RSI Oversold Level | 30 | 0-50 | Lower threshold for RSI filter |
### **Pinbar Detection Group**
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Shadow % vs Body | 72 | 50-95 | Minimum wick size as % of total range |
### **Visualization Group**
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Show SL and TP Lines? | ✅ ON | Boolean | Display stop loss and take profit lines |
| Show SL and TP Area? | ❌ OFF | Boolean | Show shaded risk/reward boxes |
### **Risk Management Group**
| Parameter | Default | Range | Description |
|-----------|---------|-------|-------------|
| Risk:Reward Ratio | 1.0 | 0.1-10.0 | Target profit vs risk (1.0 = 1:1, 2.0 = 1:2) |
| Calculate Stop with ATR? | ✅ ON | Boolean | Use ATR for stop calculation |
| Stop Pips without ATR | 5 | 1+ | Fixed pip stop when ATR disabled |
---
## 🚫 Non-Repainting Architecture
### What is Repainting?
**Repainting** occurs when an indicator's historical signals differ from what appeared in real-time. This makes backtesting unreliable and can lead to false confidence in a strategy.
### How This Indicator Prevents Repainting
1. **Closed Bar Analysis**
- All calculations use ` ` offset (previous bar)
- Only analyzes COMPLETED candles
- Signals appear on the bar AFTER the pinbar closes
2. **Confirmed Swing Points**
- Waits for sufficient bar history before signaling
- Only checks historical bars that cannot change
- Prevents premature swing detection
3. **Static Alert Timing**
- Alerts fire only after bar completion
- No conditional logic that changes historically
- Same results in replay mode and live trading
### Verification Method
To verify non-repainting behavior:
1. Apply indicator to chart
2. Note signal locations and prices
3. Refresh browser / reload chart
4. **Signals remain in exact same locations**
---
## 💼 Trading Strategy Guidelines
### Entry Rules
**For Bullish Pinbar (LONG):**
1. Wait for green triangle to appear
2. Enter at close of pinbar (shown in label)
3. Alternative: Enter on break of pinbar high
4. Place stop loss at red SL line
5. Set target at green TP line
**For Bearish Pinbar (SHORT):**
1. Wait for red triangle to appear
2. Enter at close of pinbar (shown in label)
3. Alternative: Enter on break of pinbar low
4. Place stop loss at red SL line
5. Set target at green TP line
### Risk Management
- **Position Sizing**: Risk only 1-2% of account per trade
- **Stop Loss**: Always use the calculated SL (never move it wider)
- **Take Profit**: Use calculated TP or trail stop after 1:1 RR
- **Multiple Timeframes**: Confirm signals on higher timeframe
### Best Practices
✅ **DO:**
- Wait for bar to close before entering
- Trade in direction of higher timeframe trend
- Use on liquid markets with clear support/resistance
- Combine with price action analysis
- Keep a trading journal
❌ **DON'T:**
- Enter before bar closes (prevents seeing full pattern)
- Trade against strong trends
- Ignore the filters (they improve win rate)
- Risk more than 2% per trade
- Trade every signal (be selective)
---
## 📊 Backtesting & Data Export
### Available Data Points
The indicator exports these values for strategy development:
| Output | Description |
|--------|-------------|
| Bullish Signal | 1 = BUY signal, 0 = No signal |
| Bearish Signal | 1 = SELL signal, 0 = No signal |
| Bull SL | Stop loss level for long trades |
| Bull TP | Take profit level for long trades |
| Bull Entry | Entry price for long trades |
| Bear SL | Stop loss level for short trades |
| Bear TP | Take profit level for short trades |
| Bear Entry | Entry price for short trades |
### How to Use in Strategy
These values can be accessed by Pine Script strategies using:
```pine
indicator_values = request.security(syminfo.tickerid, timeframe.period,
)
```
---
## 🎓 Understanding the Filters
### Why Use Multiple Filters?
Single-indicator systems often generate too many false signals. This indicator uses a **confluence approach**:
1. **Pinbar Pattern** = Price rejection detected
2. **+ SWING Filter** = Rejection at key level
3. **+ ATR Filter** = Significant move
4. **+ RSI Filter** = Favorable momentum
**Result**: Higher probability setups with better risk:reward
### Filter Optimization
**Conservative Settings** (Fewer, Higher Quality Signals):
- ATR Filter: ON
- Swing Candles: 5
- RSI Filter: ON
- Shadow %: 75%
**Aggressive Settings** (More Signals, More Noise):
- ATR Filter: OFF
- Swing Candles: 2
- RSI Filter: OFF
- Shadow %: 65%
**Balanced Settings** (Recommended):
- ATR Filter: ON
- Swing Candles: 3
- RSI Filter: OFF (or ON for trending markets)
- Shadow %: 72%
---
## 🔍 Troubleshooting
### "No Signals Appearing"
**Possible Causes:**
1. Filters are too strict
2. No pinbars forming on chart
3. Insufficient bar history
**Solutions:**
- Reduce Shadow % to 65%
- Reduce Swing Candles to 2
- Disable ATR or RSI filters temporarily
- Check that chart has enough data loaded
### "Too Many Signals"
**Solutions:**
- Enable ATR filter
- Increase Swing Candles to 4-5
- Enable RSI filter
- Increase Shadow % to 75-80%
### "Signals Appearing Late"
**This is normal behavior!** The indicator:
- Analyzes previous closed bar
- Signals appear on the bar AFTER the pinbar
- This is what prevents repainting
- Signal latency is 1 bar (by design)
---
## 📝 Technical Specifications
**Indicator Type:** Overlay (displays on price chart)
**Pine Script Version:** 5
**Max Labels:** 500
**Max Lines:** 500
**Repainting:** None (100% non-repainting)
**Data Window Values:** 8 exported values
**Alert Types:** 3 (Combined, Bullish, Bearish)
**Performance:**
- Lightweight script (fast execution)
- Works on all timeframes
- Compatible with all markets (Forex, Crypto, Stocks, Futures)
- No data snooping bias
---
## 🎯 Use Cases
### 1. **Swing Trading**
- Timeframe: Daily, 4H
- Filter Settings: All enabled
- Best for: Catching major reversals
### 2. **Day Trading**
- Timeframe: 15m, 1H
- Filter Settings: ATR + SWING only
- Best for: Intraday reversals
### 3. **Scalping**
- Timeframe: 5m, 15m
- Filter Settings: SWING only (aggressive)
- Best for: Quick reversals (requires experience)
### 4. **Position Trading**
- Timeframe: Weekly, Daily
- Filter Settings: All enabled + high RR (2:1 or 3:1)
- Best for: Long-term trend reversal catches
---
## 🏆 Advantages Over Other Pinbar Indicators
✅ **Guaranteed Non-Repainting** - Many pinbar indicators repaint; this one never does
✅ **Automatic SL/TP** - No manual calculation needed
✅ **Multi-Layer Filtering** - Reduces false signals significantly
✅ **Visual Trade Management** - Clear entry, stop, and target levels
✅ **Flexible Configuration** - Adaptable to any trading style
✅ **Alert System** - Never miss a setup
✅ **Backtesting Ready** - Reliable historical data
✅ **Professional Grade** - Suitable for live trading
---
## 📚 Educational Resources
### Recommended Reading on Pinbars
- "The Pin Bar Trading Strategy" by Nial Fuller
- "Price Action Trading" by Al Brooks
- TradingView Education: Price Action Patterns
### Practice Recommendations
1. Paper trade signals for 20+ trades before live trading
2. Backtest on different timeframes and markets
3. Keep detailed records of all trades
4. Analyze winning vs losing setups
5. Refine filter settings based on results
---
## ⚖️ Disclaimer
This indicator is a tool for technical analysis and does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results.
- Always use proper risk management
- Never risk more than you can afford to lose
- Consider your trading experience and objectives
- Seek independent financial advice if needed
---
## 📧 Version Information
**Current Version:** 1.0
**Last Updated:** 2024
**Compatibility:** TradingView Pine Script v5
**Status:** Production Ready
---
## 🔄 Future Enhancements (Potential)
Possible future additions:
- Multi-timeframe confirmation option
- Volume filter integration
- Customizable color schemes
- Win rate statistics display
- Partial profit taking levels
- Trailing stop functionality
---
## 📖 Quick Start Guide
### 5-Minute Setup
1. **Add to Chart**
- Open TradingView
- Go to Pine Editor
- Paste the code
- Click "Add to Chart"
2. **Configure Settings**
- Open indicator settings (gear icon)
- Start with default settings
- Enable "Show SL and TP Lines"
3. **Set Alert**
- Right-click indicator name
- Click "Add Alert"
- Select "Pinbar Signal (Any Direction)"
- Configure notification method
4. **Test**
- Scroll back on chart
- Verify signals make sense
- Check that signals don't repaint
5. **Trade** (After Practice!)
- Wait for alert
- Verify signal quality
- Enter, place SL/TP
- Manage trade
---
## 🎯 Final Thoughts
The **Pinbar MTF - No Repaint** indicator is designed for serious traders who value:
- **Reliability** over flashy signals
- **Quality** over quantity
- **Honesty** over false promises
This indicator will NOT:
- Make you rich overnight
- Win every trade
- Replace proper trading education
This indicator WILL:
- Identify high-probability reversal setups
- Save you analysis time
- Provide consistent, non-repainting signals
- Help you develop a systematic trading approach
**Success in trading comes from:**
1. Proper education (60%)
2. Risk management (30%)
3. Technical tools like this indicator (10%)
Use this tool as part of a complete trading plan, not as a standalone solution.
Custom Checklist# Custom Checklist - Trading Preparation & Reminders
A fully customizable checklist overlay indicator for TradingView that helps traders maintain discipline and follow their trading routine systematically.
## 🎯 Purpose
This indicator serves as a visual reminder system on your charts to ensure you complete all necessary analysis steps before entering a trade. Perfect for traders who want to maintain consistency and avoid emotional or rushed trading decisions.
## ✨ Key Features
- **20 Customizable Lines**: Create your own checklist items with any text you need
- **Flexible Display Options**:
- Show/hide title header
- Toggle entire checklist on/off
- Position anywhere on chart (9 positions available)
- Adjustable text size (tiny to huge)
- **Symbol Filtering**: Option to show checklist only on specific symbols (BTC/USD, GOLD, SPX500, USOIL)
- **Customizable Appearance**:
- Background color
- Text color
- Border color
- Transparency controls
- **Clean Interface**: Empty by default - add only the items you need
## 📋 Use Cases
- **Morning Routine**: Daily market preparation checklist
- **Trade Entry Rules**: Verify all setup conditions are met
- **Risk Management**: Confirm stop-loss, position size, and exit strategy
- **Multi-Timeframe Analysis**: Ensure you checked all required timeframes
- **Technical Analysis**: Track which indicators and patterns you've reviewed
- **News & Events**: Remember to check economic calendar and news
- **Personal Rules**: Your custom trading rules and reminders
## 🎨 Customization
Every aspect is customizable:
- All 20 lines can be edited to your needs
- Only non-empty lines are displayed
- Table position adjustable to any corner or middle position
- Color scheme fully customizable to match your chart theme
- Text size scalable for different screen sizes
## 💡 How to Use
1. Add indicator to your chart
2. Open Settings > Checklist Items
3. Fill in your checklist items (Line 1, Line 2, etc.)
4. Customize colors and position in Display Settings
5. Optional: Enable "Show Only on Specific Symbols" to show on select instruments
## 🔧 Display Settings
- **Checklist Title**: Custom header for your checklist
- **Show Title Header**: Toggle title display
- **Show Checklist**: Master on/off switch
- **Symbol Filter**: Restrict display to specific trading instruments
- **Position**: 9 placement options (corners and middle positions)
- **Text Size**: 5 size options (tiny, small, normal, large, huge)
- **Colors**: Background, text, and border fully customizable
## 📝 Example Checklist Ideas
**Swing Trading:**
- Support/Resistance levels identified
- Trend direction confirmed
- Volume analysis completed
- RSI/MACD signals checked
- Risk/Reward ratio calculated
**Day Trading:**
- Pre-market review done
- Key levels marked
- Economic calendar checked
- Trading plan written
- Position size calculated
**Technical Analysis:**
- Multiple timeframe alignment
- Chart patterns identified
- Moving averages reviewed
- Fibonacci levels drawn
- Volume profile analyzed
## ⚙️ Technical Details
- Pine Script v6
- Overlay indicator (displays on main chart)
- Lightweight - no complex calculations
- No repainting
- Works on all timeframes and instruments
## 🎓 Perfect For
- Beginner traders learning systematic analysis
- Experienced traders maintaining discipline
- Anyone who wants visual trading reminders
- Traders following multi-step strategies
- Those prone to FOMO or emotional trading
---
**Note**: This is a visual tool only. It does not generate trading signals or perform analysis. It serves as a reminder checklist to help you follow your own trading process consistently.
Custom Checklist# Custom Checklist - Trading Preparation & Reminders
A fully customizable checklist overlay indicator for TradingView that helps traders maintain discipline and follow their trading routine systematically.
## 🎯 Purpose
This indicator serves as a visual reminder system on your charts to ensure you complete all necessary analysis steps before entering a trade. Perfect for traders who want to maintain consistency and avoid emotional or rushed trading decisions.
## ✨ Key Features
- **20 Customizable Lines**: Create your own checklist items with any text you need
- **Flexible Display Options**:
- Show/hide title header
- Toggle entire checklist on/off
- Position anywhere on chart (9 positions available)
- Adjustable text size (tiny to huge)
- **Symbol Filtering**: Option to show checklist only on specific symbols (BTC/USD, GOLD, SPX500, USOIL)
- **Customizable Appearance**:
- Background color
- Text color
- Border color
- Transparency controls
- **Clean Interface**: Empty by default - add only the items you need
## 📋 Use Cases
- **Morning Routine**: Daily market preparation checklist
- **Trade Entry Rules**: Verify all setup conditions are met
- **Risk Management**: Confirm stop-loss, position size, and exit strategy
- **Multi-Timeframe Analysis**: Ensure you checked all required timeframes
- **Technical Analysis**: Track which indicators and patterns you've reviewed
- **News & Events**: Remember to check economic calendar and news
- **Personal Rules**: Your custom trading rules and reminders
## 🎨 Customization
Every aspect is customizable:
- All 20 lines can be edited to your needs
- Only non-empty lines are displayed
- Table position adjustable to any corner or middle position
- Color scheme fully customizable to match your chart theme
- Text size scalable for different screen sizes
## 💡 How to Use
1. Add indicator to your chart
2. Open Settings > Checklist Items
3. Fill in your checklist items (Line 1, Line 2, etc.)
4. Customize colors and position in Display Settings
5. Optional: Enable "Show Only on Specific Symbols" to show on select instruments
## 🔧 Display Settings
- **Checklist Title**: Custom header for your checklist
- **Show Title Header**: Toggle title display
- **Show Checklist**: Master on/off switch
- **Symbol Filter**: Restrict display to specific trading instruments
- **Position**: 9 placement options (corners and middle positions)
- **Text Size**: 5 size options (tiny, small, normal, large, huge)
- **Colors**: Background, text, and border fully customizable
## 📝 Example Checklist Ideas
**Swing Trading:**
- Support/Resistance levels identified
- Trend direction confirmed
- Volume analysis completed
- RSI/MACD signals checked
- Risk/Reward ratio calculated
**Day Trading:**
- Pre-market review done
- Key levels marked
- Economic calendar checked
- Trading plan written
- Position size calculated
**Technical Analysis:**
- Multiple timeframe alignment
- Chart patterns identified
- Moving averages reviewed
- Fibonacci levels drawn
- Volume profile analyzed
## ⚙️ Technical Details
- Pine Script v6
- Overlay indicator (displays on main chart)
- Lightweight - no complex calculations
- No repainting
- Works on all timeframes and instruments
## 🎓 Perfect For
- Beginner traders learning systematic analysis
- Experienced traders maintaining discipline
- Anyone who wants visual trading reminders
- Traders following multi-step strategies
- Those prone to FOMO or emotional trading
---
**Note**: This is a visual tool only. It does not generate trading signals or perform analysis. It serves as a reminder checklist to help you follow your own trading process consistently.
Fibonacci Auto Retracement & HTF candles ReferenceAdvanced Higher Timeframe (HTF) Candle & Fibonacci Viewer
Overview:
The Advanced HTF Candle & Fibonacci Viewer is a professional Trading View indicator designed to help traders overlay higher timeframe price structures onto lower timeframe charts. By combining daily candle analysis with precise Fibonacci retracement levels, this tool allows traders to identify critical support and resistance zones, potential breakouts, and retracement opportunities without switching charts.
Special Thanks:
This script includes a small part of coding inspired by Zeiierman, whose work on HTF analysis provided the foundation for visualizing higher timeframe structures. Full credit to Zeiierman for their invaluable contribution to the Trading View community.
Key Features:
1. Multi-Day HTF Range Display
Automatically displays high and low of 1–7 previous days.
Highlights candle bodies and wicks for clear structure visualization.
Ideal for spotting daily ranges and breakout levels.
2. Dynamic Fibonacci Levels
Standard levels: 0%, 11.8%, 23.6%, 38.2%, 50%, 61.8%, 76.4%, 88.2%, 100%.
Optional mid-level lines for intraday support/resistance identification.
Levels adjust automatically to reflect price action direction.
3. Customizable Labels & Colors
Adjustable text size, color, transparency, and offset.
Fully customizable candle and Fibonacci colors.
Mid-level lines can be shown or hidden for a cleaner look.
4. Persistent Levels
Levels remain until the next trading session or breakout, helping track trends and retracements consistently.
5. Multi-Timeframe Optimization
Works on any chart timeframe, from 1-minute to weekly charts.
Provides higher timeframe insight while trading on lower timeframes.
Why Traders Love This Indicator:
View higher timeframe action without switching charts.
Identify high-probability entry and exit zones.
Combine with other indicators for complete market analysis.
Useful for swing traders, day traders, and scalpers alike.
Customization Options:
Number of previous days (1–7)
Show/hide mid-level lines
Show/hide labels
Customize label size, color, and offset
Customize Fibonacci and candle colors
Ideal Use Cases:
Swing Trading: Identify daily key levels for entry, exit, and stop-loss.
Day Trading: Use HTF ranges on intraday charts to spot breakouts and reversals.
Fibonacci Analysis: Locate retracement zones efficiently.
Trend Confirmation: Validate trades with higher timeframe structure.
Summary:
The Advanced HTF Candle & Fibonacci Viewer is a powerful tool for traders seeking clarity, structure, and precision. With higher timeframe insight overlaid on active charts and proper credit to Zeiierman for their HTF coding contribution, this indicator helps traders make informed, confident decisions in any market.
