ColorFlow EMA📊 ColorFlow EMA — Trend Flow & Bias Indicator
🔹 What This Indicator Does
ColorFlow EMA is a clean, visual trend-flow indicator designed to show directional bias and momentum state at a glance.
It uses two exponential moving averages:
Fast EMA (default: 10)
Slow EMA (default: 20)
The area between the EMAs is color-shaded to clearly display whether price is in a bullish or bearish flow.
🎨 Visual Logic
🔵 Blue shading → Bullish flow
(Fast EMA above Slow EMA)
🔴 Red shading → Bearish flow
(Fast EMA below Slow EMA)
Optional crossover markers can be enabled for visual confirmation when EMA alignment changes.
🧠 How to Use ColorFlow EMA
This indicator is not a standalone strategy and is not intended for signal-chasing.
It is best used as a context and bias filter alongside:
Price action
Market structure (HH/HL, LH/LL)
Support & resistance or supply & demand zones
Pullbacks vs premium/discount
Typical use cases:
Favor longs when the flow is blue
Favor shorts when the flow is red
Avoid forcing trades when EMAs are tangled or flat
Wait for pullbacks into structure instead of chasing price
⚠️ Important Notes
EMA crossovers alone do not guarantee profitable trades
Market conditions, structure, and location always matter
Works best in trending or transitioning markets
Not designed for ranging/choppy environments without context
⚙️ Customization
EMA lengths can be adjusted
Crossover markers can be toggled on/off
Designed to stay visually clean and uncluttered
🎯 Who This Indicator Is For
Traders who prioritize price action over indicators
Intraday traders (forex, indices, ETFs, stocks)
Traders who want clarity, not noise
📝 Final Thought
ColorFlow EMA answers one simple question:
“Should I be looking for longs or shorts here?”
Use it for bias, not prediction.
Indikatoren und Strategien
Trinity 5-8-13 EMA RibbonThis is a simple little script that is based on the 5-8-13 scalping or day trading strategy, the ribbon color will flip based on the candle to EMA direction. Use this in conjunction with a higher time frame EMA as well as something like a 200 EMA or VWAP for trend direction. The indicator will give you the current candle bias.
TruTrend Market Bias FREETruTrend — Market Bias & Signal Indicator (Free)
TruTrend (Free) is a real-time market bias and signal indicator designed to help traders see trend direction and key buy/sell moments with clarity.
This version focuses on core trend structure and momentum shifts, giving you a clean visual read of the market without clutter. Signals update live and are intended to help traders stay on the right side of the move.
TruTrend Free is built to be simple, fast, and easy to use — ideal for traders who want structure without complexity.
What the Free Version Provides
• Market bias (bullish vs bearish)
• Basic buy & sell signals
• Trend structure visualization
• Clean, easy-to-read chart layout
Important Notes
• Signals are real-time and non-repainting
• Designed for general guidance, not trade automation
• Works across all markets and timeframes
Upgrade to Pro / Pro+
For advanced filtering, earlier entries, stronger confirmations, and premium features, check out TruTrend Pro and Pro+.
🔓 Upgrade access: whop.com
Midnight Open Levels by haze!This indicator automatically plots the midnight open prices for both the New York (00:00 EST) and London (00:00 GMT) trading sessions. These levels are widely recognized in institutional trading frameworks as significant reference points for intraday price action.
What Are Midnight Open Levels?
Midnight open levels represent the price at which each major trading session begins at 00:00 local time. Institutional traders and algorithmic systems often reference these levels when making trading decisions, which can create zones of increased liquidity and potential price reactions.
This indicator is provided for educational purposes. No indicator guarantees profitable trades. Always practice proper risk management, use appropriate position sizing, and conduct your own analysis before making trading decisions.
Open Interest Spaghetti - Multi ExchangeOpen Interest Spaghetti – Multi Exchange is a structural open-interest flow visualizer designed to expose where and when derivatives positioning is being built or unwound across major futures venues — without collapsing that information into a single, opaque aggregate line.
Instead of smoothing, normalizing, or trend-filtering open interest, this script intentionally preserves exchange-level granularity and plots each venue’s cumulative OI delta from a shared anchor point. The result is a “spaghetti” structure: multiple independent OI paths evolving in parallel, revealing divergence, dominance, and regime shifts in real time.
Core Idea and Originality
Most OI indicators do one of three things:
1) Plot raw open interest (slow, hard to interpret),
2) Plot OI change per bar (noisy, context-less),
3) Aggregate all exchanges into one line (information loss).
This script does none of those.
Instead, it implements an anchored cumulative delta framework applied individually to each exchange, using a common reset reference. This preserves path dependency — you see how positioning evolved since a known structural point, not just what happened on the last candle.
Key differentiators:
- Exchange-segmented OI accumulation
- Explicit anchor-based reset logic
- Optional normalization into percent-of-total OI
- No smoothing, no averages, no trend assumptions
This is not a trend indicator. It is a positioning flow map.
Data Construction and Normalization
Multi-Contract Aggregation (per exchange)
Each exchange’s total open interest is constructed by summing all available perpetual contracts:
- USD-margined
- USDT-margined
- USDC-margined
Where necessary, contract units are converted into a common base-coin representation so that all venues are directly comparable. This prevents distortions caused by mixed margin types.
The result is a true total OI per exchange, not a single contract proxy.
Anchored Cumulative Delta Logic
Let:
- OI(t) = total open interest at time t for a given exchange
- ΔOI(t)=OI(t) - OI(t-1)
For each bar:
- The script accumulates ΔOI forward in time
- This accumulation resets to zero whenever the anchor period changes
The anchor period is user-defined (default: Daily). At each reset:
- All exchange accumulators are cleared
- The current combined OI across all enabled exchanges is stored as the normalization baseline
This makes every plotted value interpretable as:
“Net positioning added or removed since the last anchor reset.”
Display Modes
1. Actual Change (default)
Plots the absolute net change in open interest since the anchor reset.
Interpretation:
- Large positive values → sustained position building
- Large negative values → sustained position unwinding
- Divergence between exchanges → uneven participation or venue-specific positioning
This mode preserves raw scale and is best for structural analysis.
2. Percent Change (normalized mode)
Each exchange’s cumulative delta is divided by the total combined OI at the anchor reset, then expressed as a percentage.
Percent Change = (Exchange Cumulative OI Delta / Total OI at Anchor) * 100
Interpretation:
- Removes absolute size bias between large and small exchanges
- Allows direct comparison of relative contribution
- Makes regime shifts easier to spot across different assets
This mode answers:
“Which exchange is driving the majority of positioning change relative to the market’s size?”
Visual and Structural Aids
- Zero baseline represents the anchor reset point
- Vertical dashed lines mark anchor transitions
- End-of-chart labels identify each exchange without relying on a legend
- All plots are unsmoothed and unfiltered by design
Noise is not removed — it is contextualized.
How Traders Use This
This indicator is most effective for:
- Detecting exchange-specific accumulation or distribution
- Identifying hidden divergence beneath price
- Confirming whether price moves are supported by broad positioning or isolated leverage
- Comparing how different venues react to the same market event
Typical interpretations:
- Price rising while OI spaghetti diverges → short covering or uneven leverage
- One exchange leading OI expansion → localized risk concentration
- Flat price with rising OI across venues → compression and potential expansion setup
What This Is Not
- Not a trend detector
- Not a momentum oscillator
- Not a signal generator
It provides structural context, not trade entries.
Summary
Open Interest Spaghetti – Multi Exchange is a flow-first, structure-aware OI framework that exposes how derivatives positioning evolves across venues from a shared reference point. By preserving exchange independence, anchoring accumulation, and offering optional normalization, it reveals information that aggregate or smoothed OI indicators inherently destroy.
If you trade derivatives and care where risk is building — not just that it is — this tool is designed for that exact purpose.
FractalMod for TV with breakout alertsFractalsMod (MT4 → Pine) is a TradingView indicator converted from a custom MT4 (MQL4) fractal indicator.
This script replicates the behavior of the original MT4 version as closely as possible, including:
Confirmation-based fractals using left/right bar logic
Persistent horizontal levels derived from confirmed fractals
MT4-style “buffer-like” behavior using segmented horizontal lines
Key Features
MT4-compatible fractal logic
Uses leftbars and rightbars to confirm fractal highs/lows, equivalent to MT4 custom fractal indicators.
Segmented horizontal lines (MT4 buffer style)
Each confirmed fractal starts a new horizontal line segment from the original pivot bar.
When a new fractal is confirmed, the previous segment is stopped at the new pivot point, closely mimicking MT4 indicator buffers.
Latest fractal tracking
The most recently confirmed Up/Down fractal levels are tracked internally and used for breakout detection.
Breakout alerts (not confirmation alerts)
Alerts are triggered when the current price breaks above the latest Up fractal or below the latest Down fractal.
Breakout detection can be configured to use:
Close price only (confirmation-based), or
High/Low including wicks.
Clean visual control
Single arrow per confirmed fractal (no duplicate markers)
Optional display of fractal markers and horizontal lines
Custom colors and line width for Up/Down fractals
Typical Use Cases
Fractal-based support / resistance visualization
Breakout trading using the most recent confirmed fractal levels
MT4 → TradingView workflow migration while preserving indicator behavior
This script is designed for traders familiar with MT4 fractal indicators who want a faithful and practical TradingView equivalent without repainting on confirmed signals.
FractalsMod (MT4 → Pine) は、
MT4(MQL4)で使用されていた カスタム Fractal インジケーターを TradingView(Pine Script)へ移植したものです。
元の MT4 インジケーターの挙動を可能な限り忠実に再現することを目的としており、以下の特徴を持ちます。
主な特徴
MT4互換のフラクタル判定ロジック
leftbars / rightbars を用いたフラクタル確定方式で、
MT4 のカスタム Fractal インジケーターと同等の確定条件を再現しています。
MT4のバッファ挙動を再現した水平ライン
フラクタルが確定すると、その ピボット位置から水平ラインを開始します。
新しいフラクタルが確定した場合、それまでのラインは新しいピボット位置で停止し、
区間ごとのライン構造で MT4 のバッファ表示に近い見た目を実現しています。
最新フラクタル価格の内部保持
直近で確定した Up / Down フラクタル価格を保持し、
ブレイク判定やアラートに利用します。
ブレイク専用アラート(確定時アラートなし)
フラクタル確定時ではなく、
価格が最新の Up フラクタルを上抜けたとき
価格が最新の Down フラクタルを下抜けたとき
にアラートを出す設計です。
ブレイク判定は
終値ベース(ダマシを減らす)
ヒゲ込み(高値 / 安値)
を設定で切り替えられます。
視認性と制御性を重視した設計
フラクタル矢印は 確定時に1本のみ表示(重複なし)
Up / Down で色分けされたラインと矢印
ライン表示・矢印表示の ON / OFF 切り替え可能
想定される用途
フラクタルを用いた サポート / レジスタンスの可視化
直近フラクタルを基準とした ブレイクアウト戦略
MT4 から TradingView への移行時に、
ロジックと見た目をできるだけ変えずに使いたい場合
本スクリプトは、
MT4のフラクタル系インジケーターに慣れたトレーダーが、
TradingViewでも違和感なく使えることを重視して設計されています。
I.C.C. Trading SystemThe ICC trading strategy, standing for Indication, Correction, Continuation, is a market structure-based method to find trend continuations by identifying initial price moves (Indication), waiting for pullbacks (Correction) at key levels like Support/Resistance, and entering when the trend resumes (Continuation), preventing premature entries and emotional trades by aligning with market dynamics.
15m RVOL + CPR Screener [AA37Amna5633]relvol and cpr table 4h 15mint relvol and cpr table relvol and cpr table relvol and cpr table relvol and cpr table
ICT Smart Money Concepts + VolumeKey Features
🔷 Volume Confirmation System
Setting Description
Volume MA Length Period for calculating average volume
Volume Threshold Multiplier (e.g., 1.5x = 150% of average)
Volume Confirmation Bars How many recent bars to check for volume spike
🔷 Liquidity Detection
Dotted lines mark liquidity zones
◆ Diamond labels show pivot points
✕ Cross labels indicate liquidity grabs
Requires minimum pivots + volume confirmation
🔷 Market Structure Shift (MSS)
Dashed lines show broken structure levels
Includes volume confirmation
Filters by Trend/Daily Bias (optional)
🔷 Fair Value Gaps (FVG)
Colored rectangles show gaps
"FVG+V" label when volume confirmed
Auto-extends or closes when filled
🔷 Order Blocks
Detected after valid MSS
Volume confirmation indicator
Auto-mitigated tracking
🔷 Target Methods
Method Description
FVG Target nearest FVG
Liquidity Target next liquidity zone
ATR ATR multiplier-based target
Risk:Reward Fixed R:R ratio
🔷 Info Tables
Bottom Right: Trend, Bias, Volume status
Top Right: Zone counts, session status
How to Use
Add to TradingView → Create new indicator → Paste code
Configure settings based on your timeframe
Enable Volume Confirmation for higher quality signals
Set alerts for MSS and Liquidity Grabs
Wait for complete setup: Liquidity → Grab → MSS → FVG Entry
Recommended Settings by Timeframe
Timeframe Pivot Lookback Volume MA Vol Threshold
1-5 min 2-3 14-20 1.5x
15-30 min 3-5 20 1.5x
1-4 hour 5-8 20 2.0x
Daily 8-15 20 2.0x
Quantum MACD📈 STRENGTHS:
1. Adaptability to Any Asset
Automatically adjusts overbought/oversold levels according to each asset's volatility
No manual level adjustment needed for different instruments
2. 4 Intelligent Zone Calculation Methods
Percentiles: Considers historical distribution of MACD values
Standard Deviation: Statistically justified levels
ATR: Accounts for market volatility
Bollinger Bands: Classic proven method
3. Enhanced Visualization
Gradient zone fill (intensity depends on distance to level)
Four histogram colors like in standard MACD
Clear solid divergence lines with markers
Information panel with key data
4. Multiple Signals and Alerts
Divergences (bullish/bearish)
Entry/exit from overbought/oversold zones
MACD and signal line crossovers
Strong signals (when approaching extreme levels)
5. Flexible Configuration
Ability to enable/disable any elements
Period adjustment for different methods
Color scheme selection
Sensitivity adjustment via multipliers
6. Professional Functions
Table with extended information
Signal strength calculation
Distance to level indicators
Display of historical MACD minimums/maximums
📉 WEAKNESSES:
1. High Complexity for Beginners
Many settings can confuse novice traders
Difficulty choosing optimal zone calculation method
Requires time to learn all functions
2. Possible Chart Overload
Multiple lines and fills can clutter the chart
Lines may overlap with many divergences
Information panel occupies screen space
3. Calculation Delays
Use of large periods (up to 500 bars) for calculations
Some methods (percentiles) require data accumulation
Possible lags on lower timeframes
4. Risk of Over-Optimization
Too fine-tuning for specific assets
Possibility of fitting parameters to historical data
Need to review parameters when trends change
5. Dependence on Chosen Method
Different methods can give contradictory signals
No single "perfect" method for all situations
Requires testing each method on specific assets
6. Pine Script Limitations
Inability to implement exact percentiles without arrays
Performance limitations with complex calculations
Some visual effects cannot be implemented perfectly
7. False Signals
In strong trends, indicator may remain in overbought/oversold zones for long periods
Divergences sometimes form late
Frequent line crossovers in sideways markets
⚖️ BALANCE OF STRENGTHS AND WEAKNESSES:
Who It's Suitable For:
✅ Experienced traders who need advanced analysis tools
✅ Analysts studying indicator behavior on different assets
✅ Swing traders working on medium timeframes
✅ Those trading multiple assets who need automatic adaptation
Who It's Not Suitable For:
❌ Beginners just starting with technical analysis
❌ Scalpers who need minimal delay
❌ Traders preferring minimalistic indicators
❌ Those wanting a "magic button" without configuration
💡 USAGE RECOMMENDATIONS:
Start Simple: Use only one zone calculation method (e.g., "Standard Deviation")
Test: Check each method on your asset's historical data
Simplify: Disable unnecessary visual elements for cleaner charts
Combine: Use this indicator with others (trend, volume-based)
Observe: Monitor indicator behavior in different market conditions (trend, range)
🎯 CONCLUSION:
Quantum MACD is a powerful professional tool for traders willing to invest time in learning and configuring it. It solves the key problem of standard MACD - static overbought/oversold levels.
Main Advantage: adaptation to any asset without manual adjustment.
Main Disadvantage: complexity for beginners and risk of chart overload.
The indicator performs best on daily and weekly timeframes when trading stocks, cryptocurrencies, and currency pairs with good liquidity.
Magno Virtual Football Market CompletVirtual Football Market Logic – SR + VFI + Probability
A statistical + structural indicator for the Bet365 Virtual Football market, combining:
VFI (Fair Value + Standard Deviation Bands) to detect excess/scarcity zones (overbought/oversold)
Momentum (Fast vs Slow SMA) to confirm acceleration or weakness
Automatic Pivot S/R (Support/Resistance) to map key price levels
The script calculates and displays a dynamic OVER vs UNDER probability (0–100%), based on:
Fair Value distance,
deviation band expansion,
momentum direction,
proximity to resistance/support.
Includes a real-time probability label and visual triggers when OVER/UNDER ≥ 75%.
Teacher Agent: OBV-ADX+Volume Overlay V6This is an OBV ADX I modified from another user (kocurekc). I removed the histogram and made it an overlay then added volume multiplier to only throw signals when volume is above average.
Linear Regression Channel with Multi Sigma and Multi Time FrameThis indicator applies multi-sigma linear regression across multiple institutional time horizons to quantify the line of best fit in equities and index markets. By combining multi-timeframe presets with statistically derived deviation bands, it highlights trend structure, volatility expansion, and regime transitions with clarity.
Features
Auto-Multi-Timeframe presets map directly to institutional trend horizons (daily, weekly, monthly) for accurate regime detection.
Multi-Sigma bands (+/-1, +/-2, +/-3) reveal volatility structure, trend strength, and statistical extremes.
The regression line uses a true least-squares calculation, recalculated each bar for precise trend alignment.
Deviation mode allows switching between standard deviation and max deviation to support different volatility models.
A linked PDF on GitHub provides full documentation, derivations, and institutional use-case examples.
More Information Can Be Found Here:
github.com
NY First 4H Range Breakout Strategy (1PM Close)Strategy builds the high and low of the first four hours of the New York session (9:00 AM–1:00 PM ET), locks that range after the 1:00 PM candle closes, and then trades breakouts based strictly on candle closes (wicks ignored).
The strategy allows multiple breakouts per day, entering long when price closes above the NY range and short when it closes below, with configurable position sizing and risk-reward targets; stops can be set at the opposite side of the range or dynamically calculated.
It works both for historical back testing in the Strategy Tester and for live trading/alerts, making it suitable for intraday markets on lower timeframes such as 5- to 15-minute charts.
Mismatch Strategy | Madrimov tradeTitle
Mismatch Strategy by Madrimov trade – Gold vs DXY Impulse and Compression
Description
Concept
This indicator is based on a cross-market mismatch principle between Gold (XAUUSD) and the US Dollar Index (DXY).
It looks for situations where DXY expands aggressively while Gold temporarily fails to respond, creating a build-up of directional pressure that is often released once Gold breaks its short-term range.
Methodology (High-Level Overview)
The script evaluates three conditions on the same chart timeframe:
DXY Impulse Detection
A directional impulse on DXY is detected when the candle’s range exceeds a multiple of its ATR, indicating unusually strong participation rather than normal fluctuation.
Gold Compression Filter
At the same time, Gold must remain compressed, defined as a candle range significantly smaller than its own ATR.
This represents under-reaction or absorption despite external pressure.
Delayed Breakout Confirmation
Trades are triggered only after the mismatch occurs and Gold subsequently breaks its recent high or low over a configurable lookback period.
This delay avoids chasing impulses and focuses on release after compression.
Why This Is Different
Unlike traditional trend or correlation indicators, this script does not trade direction directly.
Instead, it evaluates effort versus response across two related markets, filtering out low-quality momentum and false breakouts.
The strategy focuses on:
Cross-asset pressure imbalance
Volatility-normalized conditions
Sequential confirmation rather than instant signals
How to Use
Designed primarily for XAUUSD charts
Works best on intraday timeframes (5m–15m)
Signals are strongest when aligned with higher-timeframe bias
Buy and sell signals are plotted directly on candles
Optional RR visualization can be enabled for reference
Limitations
Not predictive; signals are generated after candle close
Performance degrades during extremely low-liquidity or news-driven spikes
Intended as a decision-support tool, not a standalone trading system
papa experiment//@version=6
indicator("Edufx AMD", shorttitle="Edufx AMD", overlay=true)
// ───── Inputs ─────
timezone = input.string("America/New_York", "Timezone")
enableDailyCycles = input.bool(true, "Enable Daily Cycles")
colorAcc = input.color(color.new(color.gray, 80), "Accumulation")
colorManip = input.color(color.new(color.red, 80), "Manipulation")
colorDist = input.color(color.new(color.green, 80), "Distribution")
// ───── Daily Anchor (NY 8PM) ─────
var int dayStart = na
if na(dayStart) or time >= dayStart + 86400000
dayStart := timestamp(timezone, year, month, dayofmonth, 20, 0)
accEnd = dayStart + 9 * 60 * 60 * 1000
manEnd = dayStart + 15 * 60 * 60 * 1000
distEnd = dayStart + 24 * 60 * 60 * 1000
// ───── State ─────
var float accLo = na
var float accHi = na
var float manLo = na
var float manHi = na
var float disLo = na
var float disHi = na
var bool accDone = false
var bool manDone = false
var bool disDone = false
// ───── Daily AMD ─────
if enableDailyCycles
// Accumulation
if time >= dayStart and time < accEnd
accLo := na(accLo) ? low : math.min(accLo, low)
accHi := na(accHi) ? high : math.max(accHi, high)
if time >= accEnd and not accDone and not na(accLo)
box.new(dayStart, accHi, accEnd, accLo,
xloc=xloc.bar_time, bgcolor=colorAcc, border_color=colorAcc)
accDone := true
// Manipulation
if time >= accEnd and time < manEnd
manLo := na(manLo) ? low : math.min(manLo, low)
manHi := na(manHi) ? high : math.max(manHi, high)
if time >= manEnd and not manDone and not na(manLo)
box.new(accEnd, manHi, manEnd, manLo,
xloc=xloc.bar_time, bgcolor=colorManip, border_color=colorManip)
manDone := true
// Distribution
if time >= manEnd and time < distEnd
disLo := na(disLo) ? low : math.min(disLo, low)
disHi := na(disHi) ? high : math.max(disHi, high)
if time >= distEnd and not disDone and not na(disLo)
box.new(manEnd, disHi, distEnd, disLo,
xloc=xloc.bar_time, bgcolor=colorDist, border_color=colorDist)
disDone := true
// Reset
if time >= distEnd
accLo := na
accHi := na
manLo := na
manHi := na
disLo := na
disHi := na
accDone := false
manDone := false
disDone := false
Advanced RSI Crossover🚀 Key Advanced Features Added:
1. Multi-Filter System
Trend Filter (EMA/SMA/WMA/HMA)
Volume Filter (customizable multiplier)
ATR Volatility Filter
Signal Cooldown (prevent signal spam)
2. Divergence Detection
Bullish & Bearish divergence auto-detection
Customizable pivot lookback settings
3. Risk Management
ATR-based or Fixed TP/SL levels
Visual TP/SL plotting on chart
4. Signal Quality Scoring
0-100% quality score per signal
Based on trend, volume, volatility alignment
5. Info Panel Dashboard
Real-time RSI, trend, volume stats
Signal quality display
6. Enhanced Alerts
Emoji-rich alert messages
High-quality signal alerts (75%+)
Divergence-specific alerts
Monthly Seasonality AnalyzerThis indicator analyzes historical performance/seasonality of a chosen month, from date of inception to present. Users can choose any calendar month via dropdown menu.
For each historical month selected, it will calculate the monthly percentage gain/loss, range(volatility), and average gain/loss percentage, average range percentage across all recorded years. Positive returns are colored green and negative returns are red. Also, calculates if the selected month was bullish(open>close) or bearish.
When current chart month matches the selected month, it shows the in-progress range as well.
Data is collected from 1930 to present. Results are shown in vertical and horizontal tables. If the vertical table exceeds a 36 years, the script automatically switches to horizontal table to display all the data, with option to change table position.
Overall this tool is valuable for seasonality research, such as Santa Rally, May Go Away and swing trading/ position trading to capture the monthly PO3 range.
Most seasonality indicators show all 12 months at once or use daily bars. This one zooms in deeply on one month only, providing detailed per-year breakdowns, accurate completed-month stats, and a practical live range display.
The script uses arrays to store years, gains, and ranges. Uses table.new(), table.cell(), table.merge_cells() for easily readable result display. Code handles the current in-progress month separately (shows live range without including it in historical averages).
**Script will not run on any timeframe other than monthly and displays error otherwise. Script is best used on spot and not futures.
ICT Ultimate + SIGNALS [Entry/Exit/SL/TP]📖 ENTRY/EXIT RULES EXPLAINED (Hinglish):
🟢 BUY SIGNAL Kab Aayega?
Condition Required
Market Structure Bullish Trend (HH, HL)
BOS/CHoCH Bullish Break hona chahiye
Order Block Price Bullish OB par ho
Zone DISCOUNT zone mein ho
Time Kill Zone active ho (London/NY)
FVG Bullish FVG mein ho (optional)
Confluence Score: Kam se kam 2-4 conditions match honi chahiye (mode ke hisaab se)
🔴 SELL SIGNAL Kab Aayega?
Condition Required
Market Structure Bearish Trend (LH, LL)
BOS/CHoCH Bearish Break hona chahiye
Order Block Price Bearish OB par ho
Zone PREMIUM zone mein ho
Time Kill Zone active ho
FVG Bearish FVG mein ho (optional)
🛑 STOP LOSS Kahan Lagega?
Method Description
OB Based Order Block ke neeche/upar (recommended)
Swing Based Recent Swing Low/High ke neeche/upar
ATR Based ATR multiplier use karke
Fixed Pips Fixed pips (e.g., 20 pips)
🎯 TAKE PROFIT Levels:
Level Default R:R Example
TP1 1.5:1 Risk 20 pips = TP 30 pips
TP2 2.5:1 Risk 20 pips = TP 50 pips
TP3 4.0:1 Risk 20 pips = TP 80 pips
🎮 HOW TO USE (Step by Step):
Step 1: Add Indicator
text
1. TradingView kholein
2. Pine Editor open karein
3. Code paste karein
4. "Add to Chart" click karein
Step 2: Settings Adjust Karein
text
⚙️ Settings > ENTRY/EXIT SIGNALS section:
- Signal Mode:
• Conservative = 4+ confluence (kam signals, high accuracy)
• Moderate = 3+ confluence (balanced)
• Aggressive = 2+ confluence (zyada signals)
- Kill Zone Required: ON (recommended)
- Premium/Discount Required: ON (recommended)
Step 3: Trade Execution
text
1. 🔼 BUY ya 🔽 SELL arrow dekhein
2. Dashboard mein Entry, SL, TP levels check karein
3. Lines chart par draw ho jayengi
4. Trade lein!
Step 4: Trade Management
text
✓ TP1 Hit → 50% position close karein
✓ TP2 Hit → 30% aur close karein
✓ TP3 Hit → Full position close
✗ SL Hit → Exit trade
📱 DASHBOARD EXPLAINED:
text
┌─────────────────────────────────┐
│ ICT SIGNAL PANEL │
├─────────────────────────────────┤
│ 📈 Trend │ BULLISH 🟢 │
│ 📍 Zone │ DISCOUNT ⬇️ │
│ ⏰ Kill Zone │ NEW YORK 🟠 │
│ 🎯 Silver Bullet │ ACTIVE ✓ │
│ 🔢 Bull Confluence │ 5/3 │
│ 🔢 Bear Confluence │ 1/3 │
├─────────────────────────────────┤
│ ACTIVE TRADE │
├─────────────────────────────────┤
│ Direction │ 🔼 LONG │
│ Entry Price │ 1.0850 │
│ 🛑 Stop Loss │ 1.0820 │
│ 🎯 TP1 │ 1.0895 │
│ 🎯 TP2 │ 1.0925 │
│ 🎯 TP3 │ 1.0970 │
│ 📊 Risk (Pips)│ 30 │
└─────────────────────────────────┘
🔔 ALERTS Setup:
Chart par right-click karein
"Add Alert" select karein
Condition mein "ICT Ultimate + SIGNALS" select karein
Alert type choose karein:
ICT Buy Signal
ICT Sell Signal
TP1/TP2/TP3 Hit
Stop Loss Hit
Kill Zone Active
Silver Bullet Active
⚠️ IMPORTANT TIPS:
Best Practices:
text
✅ 15min ya 5min timeframe use karein
✅ Kill Zone mein hi trade karein
✅ Confluence 3+ hona chahiye
✅ Always SL lagayein
✅ Partial profit booking karein (TP1 par 50%)
Avoid:
text
❌ Asian session mein trade na karein
❌ News time par avoid karein
❌ Ek saath bohot trades na lein
❌ SL ke bina trade na karein
Koi bhi cheez samajh nahi aayi toh poochein! 🙏
FRVP VA Zones + MACD + EMA Ribbon{A37Amna5633}fulemas, frvp, with selectable colours lines, and switch on, off levels, with riboon ema 1,2 box selectable ribbon thicknes ,recomended with ema1with 3, and ema2 with7
Key timings for indicesThis indicator has following key levels
9:30 am open
opening range low
opening range high
8 am low
8 am high
midnight open
Apex Wallet - Lorentzian Classification: Adaptive Signal SuiteOverview The Apex Wallet Lorentzian Classification is a high-performance signal engine that utilizes an adaptive multi-feature approach to identify high-probability entry points. It synthesizes five distinct technical features—RSI, CCI, ADX, MFI, and ROC—to calculate a weighted trend bias.
Dynamic Adaptation The core strength of this indicator is its ability to automatically recalibrate its internal periods based on your selected Trading Mode.
Scalping: Uses ultra-fast periods (e.g., RSI 7, ADX 10) for quick reaction on 1m to 5m charts.
Day-Trading: Balanced settings (e.g., RSI 14, ADX 14) optimized for 15m to 1h timeframes.
Swing-Trading: Smooth, long-term filters (e.g., RSI 21, ADX 20) to capture major market shifts.
Logic & Signal Flow
Feature Extraction: The script calculates five momentum and volatility features using the current close price.
Signal Summation: Each feature contributes to a global signal score based on established technical thresholds.
EMA Smoothing: The raw signal is processed through an EMA filter to eliminate market noise and false breakouts.
Execution: Clear BUY and SELL labels are printed directly on the chart when the smoothed score crosses specific conviction levels.
Key Features:
Zero-Configuration: No need to manually adjust lengths; simply pick your trading style.
Clean Visuals: High-fidelity labels (BUY/SELL) with integrated alert conditions for automation.
Prop-Firm Ready: Ideal for traders needing fast confirmation for high-conviction trades.






















