Trend Pivot Retracements [TradeEasy]▶ OVERVIEW
Trend Pivot Retracements identifies market trend direction using a Donchian-style channel and dynamically highlights retracement zones during trending conditions. It calculates the percentage pullbacks from recent highs and lows, plots labeled zones with varying intensity, and visually connects key retracement pivots. The indicator also emphasizes price proximity to trend boundaries by dynamically adjusting the thickness of plotted trend bands.
▶ TREND DETECTION & BAND STRUCTURE
The indicator determines the current trend by checking for new 50-bar extremes:
Uptrend: If a new highest high is made, the trend is considered bullish.
Downtrend: If a new lowest low is made, the trend is considered bearish.
Uptrend Band: Plots the 50-bar lowest low as a trailing support level.
Downtrend Band: Plots the 50-bar highest high as a trailing resistance level.
Thickness Variation: The thickness of the band increases the further price moves from it, indicating overextension.
▶ RETRACEMENT LABELING SYSTEM
During a trend, the indicator monitors pivot points in the opposite direction to measure retracements:
Bullish Retracement:
Triggered when a pivot low forms during an uptrend.
Measures % pullback from the most recent swing high (searched up to 20 bars back).
Plots a bold horizontal line at the low and a dashed diagonal from the previous swing high.
Adds a “-%” label above the low; intensity is based on recent 50 pullbacks.
Bearish Retracement:
Triggered when a pivot high forms during a downtrend.
Measures % pullback from the previous swing low (up to 20 bars back).
Plots a bold horizontal line at the high and a dashed diagonal from the prior swing low.
Adds a “%” label below the high with gradient color based on the past 50 extremes.
▶ PIVOT CONNECTION LINES
Each retracement includes a visual connector:
A diagonal dashed line linking the swing extreme (20 bars back) to the retracement point.
This line visually traces the path of price retreat within the trend.
Helps traders understand where the retracement originated and how steep it was.
▶ TREND SWITCH SIGNALS
When trend direction changes:
A diamond marker is plotted on the new pivot confirming the trend shift.
Green diamonds signal new bullish trends at fresh lows.
Magenta diamonds signal new bearish trends at fresh highs.
▶ COLOR INTENSITY & CONTEXTUAL AWARENESS
To help interpret the magnitude of retracements:
The % labels are color-coded using a gradient scale that references the max of the last 50 pullbacks.
Stronger pullbacks result in deeper color intensity, signaling more significant corrections.
Trend bands also use standard deviation normalization to adjust line thickness based on how far price has moved from the band.
This creates a visual cue for potential exhaustion or volatility extremes.
▶ USAGE
Trend Pivot Retracements is a powerful tool for traders who want to:
Identify trend direction and contextual pullbacks within those trends.
Spot key retracement points that may serve as entry opportunities or reversal signals.
Use visual retracement angles to understand market pressure and trend maturity.
Read dynamic band thickness as an alert for price stretch, potential mean reversion, or breakout setups.
▶ CONCLUSION
Trend Pivot Retracements gives traders a clean, visually expressive way to monitor trending markets, while capturing and labeling meaningful retracements. With adaptive color intensity, diagonal connectors, and smart trend switching, it enhances situational awareness and provides immediate clarity on trend health and pullback strength.
Trendanalyse
Symmetry Break Index | QRSymmetry Break Trend Scanner | QuantumResearch
What it does
This indicator detects trend regime shifts by measuring how persistently price deviates from its moving-average “symmetry.” It outputs a continuous Score and a binary Signal (Bullish / Bearish) when that score crosses user-defined thresholds:
Bullish (Long) when upside deviations dominate → sustained uptrend bias
Bearish (Short/Cash) when downside deviations dominate → sustained downtrend bias
It’s built for clarity and consistency: the plot is a single score with two horizontal decision lines so traders can quickly identify regime changes on a clean chart.
How it works (principle, not code)
Normalize price vs trend: Price is standardized against a moving average and its standard deviation to create a dimensionless “oscillator” series (how far above/below typical behavior price sits).
Symmetry count: For a user-defined range of reference levels, the script counts whether the standardized price is above or below each level. This builds a cumulative symmetry score: positive when upside presence is broad and persistent, negative when downside dominates.
Regime thresholds: Crossing the Uptrend Threshold or Downtrend Threshold flips the quantum state to Bullish or Bearish, minimizing noise compared with a single-level trigger.
This approach emphasizes persistence and breadth of deviation rather than one-off spikes, which can help filter chop.
Plots & visuals
Score (histogram/area fill): Positive area fills in the bullish color, negative area in the bearish color.
Zero line: Quick reference for balance between up/down deviations.
Two decision lines: Uptrend Threshold and Downtrend Threshold to mark regime flips.
Bar colors: Bars tint with the active regime (Bullish / Bearish) for fast reads.
Publish with a clean chart so the score and thresholds are clearly visible. Avoid extra indicators unless they are required and explained.
Inputs & customization
MA Length (default 40): Window for the baseline moving average and volatility. Shorter = more reactive; longer = smoother.
Source: Price input (e.g., close).
For Loop Range (Start / End, default −200…200): Breadth of reference levels in the symmetry count. Wider range = stronger smoothing and slower flips.
Uptrend / Downtrend Thresholds: Regime triggers. Tighten to react faster, widen to reduce whipsaws.
Color Mode: Choose a palette to match your chart.
Tip: Start with defaults, then tune MA Length and thresholds for your market/timeframe.
How to use it
Trend confirmation: Trade in the direction of the active regime; avoid counter-trend setups when the score is far beyond a threshold.
Risk controls: When the score retreats toward zero, consider reducing size or tightening stops—momentum is weakening.
Confluence: Combine with structure (S/R), volume, or volatility bands for entries/exits; the score provides context, not entries alone.
Originality & value
Unlike single-threshold oscillators, this method aggregates many standardized comparisons into one score, rewarding persistence and breadth of deviation. The result is a robust regime signal that tends to filter fleeting wiggles and highlight true symmetry breaks.
Limitations
Extremely range-bound markets can still produce false flips if thresholds are too tight.
Sudden volatility regime changes may require re-tuning MA Length or thresholds.
Standardization depends on the chosen window; there is no “one size fits all.”
Disclaimer
This tool is for research/education and is not financial advice. Markets involve risk, including loss of capital. Past performance does not predict or guarantee future results. Always test settings on your timeframe and use prudent risk management.
HTF Candles with PVSRA Volume Coloring (PCS Series)This indicator displays higher timeframe (HTF) candles using a PVSRA-inspired color model that blends price and volume strength, allowing traders to visualize higher-timeframe activity directly on lower-timeframe charts without switching screens.
OVERVIEW
This script visualizes higher-timeframe (HTF) candles directly on lower-timeframe charts using a custom PVSRA (Price, Volume & Support/Resistance Analysis) color model.
Unlike standard HTF indicators, it aggregates real-time OHLC and volume data bar-by-bar and dynamically draws synthetic HTF candles that update as the higher-timeframe bar evolves.
This allows traders to interpret momentum, trend continuation, and volume pressure from broader market structures without switching charts.
INTEGRATION LOGIC
This script merges higher-timeframe candle projection with PVSRA volume analysis to provide a single, multi-timeframe momentum view.
The HTF structure reveals directional context, while PVSRA coloring exposes the underlying strength of buying and selling pressure.
By combining both, traders can see when a higher-timeframe candle is building with strong or weak volume, enabling more informed intraday decisions than either tool could offer alone.
HOW IT WORKS
Aggregates price data : Groups lower-timeframe bars to calculate higher-timeframe Open, High, Low, Close, and total Volume.
Applies PVSRA logic : Compares each HTF candle’s volume to the average of the last 10 bars:
• >200% of average = strong activity
• >150% of average = moderate activity
• ≤150% = normal activity
Assigns colors :
• Green/Blue = bullish high-volume
• Red/Fuchsia = bearish high-volume
• White/Gray = neutral or low-volume moves
Draws dynamic outlines : Outlines update live while the current HTF candle is forming.
Supports symbol override : Calculations can use another instrument for correlation analysis.
This multi-timeframe aggregation avoids repainting issues in request.security() and ensures accurate real-time HTF representation.
FEATURES
Dual HTF Display : Visualize two higher timeframes simultaneously (e.g., 4H and 1D).
Dynamic PVSRA Coloring : Volume-weighted candle colors reveal bullish or bearish dominance.
Customizable Layout : Adjust candle width, spacing, offset, and color schemes.
Candle Outlines : Highlight the forming HTF candle to monitor developing structure.
Symbol Override : Display HTF candles from another instrument for cross-analysis.
SETTINGS
HTF 1 & HTF 2 : enable/disable, set timeframes, choose label colors, show/hide outlines.
Number of Candles : choose how many HTF candles to plot (1–10).
Offset Position : distance to the right of the current price where HTF candles begin.
Spacing & Width : adjust separation and scaling of candle groups.
Show Wicks/Borders : toggle wick and border visibility.
PVSRA Colors : enable or disable volume-based coloring.
Symbol Override : use a secondary ticker for HTF data if desired.
USAGE TIPS
Set the indicator’s visual order to “Bring to front.”
Always choose HTFs higher than your active chart timeframe.
Use PVSRA colors to identify strong momentum and potential reversals.
Adjust candle spacing and width for your chart layout.
Outlines are not shown on chart timeframes below 5 minutes.
TRADING STRATEGY
Strategy Overview : Combine HTF structure and PVSRA volume signals to
• Identify zones of high institutional activity and potential reversals.
• Wait for confirmation through consolidation or a pullback to key levels.
• Trade in alignment with dominant higher-timeframe structure rather than chasing volatility.
Setup :
• Chart timeframe: lower (5m, 15m, 1H)
• HTF 1: 4H or 1D
• HTF 2: 1D or 1W
• PVSRA Colors: enabled
• Outlines: enabled
Entry Concept :
High-volume candles (green or red) often indicate market-maker activity , such zones often reflect liquidity absorption by larger players and are not necessarily ideal entry points.
Wait for the next consolidation or pullback toward a support or resistance level before acting.
Bullish scenario :
• After a high-volume or rejection candle near a low, price consolidates and forms a higher low.
• Enter long only when structure confirms strength above support.
Bearish scenario :
• After a high-volume or rejection candle near a top, price consolidates and forms a lower high.
• Enter short once resistance holds and momentum weakens.
Exit Guidelines :
• Exit when next HTF candle shifts in color or momentum fades.
• Exit if price structure breaks opposite to your trade direction.
• Always use stop-loss and take-profit levels.
Additional Tips :
• Never enter directly on strong green/red high-volume candles, these are usually areas of institutional absorption.
• Wait for market structure confirmation and volume normalization.
• Combine with RSI, moving averages, or support/resistance for timing.
• Avoid trading when HTF candles are mixed or low-volume (unclear bias).
• Outlines hidden below 5m charts.
Risk Management :
• Use stop-loss and take-profit on all positions.
• Limit risk to 1–2% per trade.
• Adjust position size for volatility.
FINAL NOTES
This script helps traders synchronize lower-timeframe execution with higher-timeframe momentum and volume dynamics.
Test it on demo before live use, and adjust settings to fit your trading style.
DISCLAIMER
This script is for educational purposes only and does not constitute financial advice.
SUPPORT & UPDATES
Future improvements may include alert conditions and additional visualization modes. Feedback is welcome in the comments section.
CREDITS & LICENSE
Created by @seoco — open source for community learning.
Licensed under Mozilla Public License 2.0 .
Hyper Strength Index | QuantLapse🧠 Hyper Strength Index (HSI) | QuantLapse
Overview:
The Hyper Strength Index (HSI) is a composite momentum oscillator designed to unify multiple strength measures into a single, adaptive framework. It combines the Relative Strength Index (RSI), Chande Momentum Oscillator (CMO), Money Flow Index (MFI), and Stochastic RSI to deliver a refined, multidimensional view of market momentum and overbought/oversold conditions.
Unlike traditional oscillators that rely on a single formula, the HSI averages four distinct momentum perspectives — price velocity, directional conviction, volume participation, and stochastic behavior — offering traders a more balanced and noise-resistant reading of market strength.
⚙️ Calculation Logic:
The Hyper Strength Index is computed as the normalized average of:
📈 RSI — classic measure of relative momentum.
💪 CMO — captures directional bias and intensity of moves.
💵 MFI — integrates volume and money flow pressure.
🔄 Stochastic RSI (K-line) — identifies momentum extremes and short-term turning points.
This fusion creates a smoother, more comprehensive signal, mitigating the weaknesses of any single oscillator.
🎯 Interpretation:
Overbought Zone (Default: > 75):
Indicates potential exhaustion of bullish momentum — a cooling phase or reversal may follow.
Oversold Zone (Default: < 7):
Suggests bearish exhaustion — a rebound or accumulation phase may emerge.
Neutral Zone (Between 7 and 75):
Represents balanced market conditions or trend continuation phases.
Visual cues highlight key conditions:
🔺 Red Highlights — Overbought regions or downward inflection points.
🔻 Green Highlights — Oversold regions or upward inflection points.
Neutral zones are shaded with subtle gray backgrounds for clarity.
💡 Key Features:
🔹 Multi-factor strength analysis (RSI + CMO + MFI + StochRSI).
🔹 Adaptive overbought/oversold detection.
🔹 Visual alerts via colored backgrounds and bar markers.
🔹 Customizable smoothing and length parameters for fine-tuning sensitivity.
🔹 Intuitive visualization ideal for both short-term scalping and swing trading setups.
🧭 Usage Notes:
Works best as a momentum confirmation tool — pair with trend filters like EMA, SuperTrend, or ADX.
In trending markets, use crossovers from extreme zones as potential continuation or exhaustion signals.
In ranging markets, exploit overbought/oversold reversals for high-probability mean reversion trades.
📘 Summary:
The Hyper Strength Index | QuantLapse distills multiple dimensions of market strength into a single, cohesive oscillator. By merging price, volume, and directional momentum, it provides traders with a more robust, responsive, and context-aware perspective on market dynamics — a next-generation evolution beyond the limitations of RSI or CMO alone.
Relative Performance Tracker [QuantAlgo]🟢 Overview
The Relative Performance Tracker is a multi-asset comparison tool designed to monitor and rank up to 30 different tickers simultaneously based on their relative price performance. This indicator enables traders and investors to quickly identify market leaders and laggards across their watchlist, facilitating rotation strategies, strength-based trading decisions, and cross-asset momentum analysis.
🟢 Key Features
1. Multi-Asset Monitoring
Track up to 30 tickers across any market (stocks, crypto, forex, commodities, indices)
Individual enable/disable toggles for each ticker to customize your watchlist
Universal compatibility with any TradingView symbol format (EXCHANGE:TICKER)
2. Ranking Tables (Up to 3 Tables)
Each ticker's percentage change over your chosen lookback period, calculated as:
(Current Price - Past Price) / Past Price × 100
Automatic sorting from strongest to weakest performers
Rank: Position from 1-30 (1 = strongest performer)
Ticker: Symbol name with color-coded background (green for gains, red for losses)
% Change: Exact percentage with color intensity matching magnitude
For example, Rank #1 has the highest gain among all enabled tickers, Rank #30 has the lowest (or most negative) return.
3. Histogram Visualization
Adjustable bar count: Display anywhere from 1 to 30 top-ranked tickers (user customizable)
Bar height = magnitude of percentage change.
Bars extend upward for gains, downward for losses. Taller bars = larger moves.
Green bars for positive returns, red for negative returns.
4. Customizable Color Schemes
Classic: Traditional green/red for intuitive interpretation
Aqua: Blue/orange combination for reduced eye strain
Cosmic: Vibrant aqua/purple optimized for dark mode
Custom: Full personalization of positive and negative colors
5. Built-In Ranking Alerts
Six alert conditions detect when rankings change:
Top 1 Changed: New #1 leader emerges
Top 3/5/10/15/20 Changed: Shifts within those tiers
🟢 Practical Applications
→ Momentum Trading: Focus on top-ranked assets (Rank 1-10) that show strongest relative strength for trend-following strategies
→ Market Breadth Analysis: Monitor how many tickers are above vs. below zero on the histogram to gauge overall market health
→ Divergence Spotting: Identify when previously leading assets lose momentum (drop out of top ranks) as potential trend reversal signals
→ Multi-Timeframe Analysis: Use different lookback periods on different charts to align short-term and long-term relative strength
→ Customized Focus: Adjust histogram bars to show only top 5-10 strongest movers for concentrated analysis, or expand to 20-30 for comprehensive overview
Chronos Reversal Labs🧬 Chronos Reversal Lab - Machine Learning Market Structure Analysis
OVERVIEW
Chronos Reversal Lab (CRL) is an advanced market structure analyzer that combines computational intelligence kernels with classical technical analysis to identify high-probability reversal opportunities. The system integrates Shannon Entropy analysis, Detrended Fluctuation Analysis (DFA), Kalman adaptive filtering, and harmonic pattern recognition into a unified confluence-based signal engine.
WHAT MAKES IT ORIGINAL
Unlike traditional reversal indicators that rely solely on oscillators or pattern recognition, CRL employs a multi-kernel machine learning approach that analyzes market behavior through information theory, statistical physics, and adaptive state-space estimation. The system combines these computational methods with geometric pattern analysis and market microstructure to create a comprehensive reversal detection framework.
HOW IT WORKS (Technical Methodology)
1. COMPUTATIONAL KERNELS
Shannon Entropy Analysis
Measures market uncertainty using information theory:
• Discretizes price returns into bins (user-configurable 5-20 bins)
• Calculates probability distribution entropy over lookback window
• Normalizes entropy to 0-1 scale (0 = perfectly predictable, 1 = random)
• Low entropy states (< 0.3 default) indicate algorithmic clarity phases
• When entropy drops, directional moves become statistically more probable
Detrended Fluctuation Analysis (DFA)
Statistical technique measuring long-range correlations:
• Analyzes price series across multiple box sizes (4 to user-set maximum)
• Calculates fluctuation scaling exponent (Alpha)
• Alpha > 0.5: Trend persistence (momentum regime)
• Alpha < 0.5: Mean reversion tendency (reversal regime)
• Alpha range 0.3-1.5 mapped to trading strategies
Kalman Adaptive Filter
State-space estimation for lag-free trend tracking:
• Maintains separate fast and slow Kalman filters
• Process noise and measurement noise are user-configurable
• Tracks price state with adaptive gain adjustments
• Calculates acceleration (second derivative) for momentum detection
• Provides cleaner trend signals than traditional moving averages
2. HARMONIC PATTERN DETECTION
Identifies geometric reversal patterns:
• Gartley: 0.618 AB/XA, 0.786 AD/XA retracement
• Bat: 0.382-0.5 AB/XA, 0.886 AD/XA retracement
• Butterfly: 0.786 AB/XA, 1.272-1.618 AD/XA extension
• Cypher: 0.382-0.618 AB/XA, 0.786 AD/XA retracement
Pattern Validation Process:
• Requires alternating swing structure (XABCD points)
• Fibonacci ratio tolerance: 0.02-0.20 (user-adjustable precision)
• Minimum 50% ratio accuracy score required
• PRZ (Potential Reversal Zone) calculated around D point
• Zone size: ATR-based with pattern-specific multipliers
• Active pattern tracking with 100-bar invalidation window
3. MARKET STRUCTURE ANALYSIS
Swing Point Detection:
• Pivot-based swing identification (3-21 bars configurable)
• Minimum swing size: ATR multiples (0.5-5.0x)
• Adaptive filtering: volatility regime adjustment (0.7-1.3x)
• Swing confirmation tracking with RSI and volume context
• Maintains structural history (up to 500 swings)
Break of Structure (BOS):
• Detects price crossing previous swing highs/lows
• Used for trend continuation vs reversal classification
• Optional requirement for signal validation
Support/Resistance Detection:
• Identifies horizontal levels from swing clusters
• Touch counting algorithm (price within ATR×0.3 tolerance)
• Weighted by recency and number of tests
• Dynamic updating as structure evolves
4. CONFLUENCE SCORING SYSTEM
Multi-factor analysis with regime-aware weighting:
Hierarchical Kernel Logic:
• Entropy gates advanced kernel activation
• Only when entropy < threshold do DFA and Kalman accelerate scoring
• Prevents false signals during chaotic (high entropy) conditions
Scoring Components:
ML Kernels (when entropy low):
• Low entropy + trend alignment: +3.0 points × trend weight
• DFA super-trend (α>1.5): +4.0 points × trend weight
• DFA persistence (α>0.65): +2.5 points × trend weight
• DFA mean-reversion (α<0.35): +2.0 points × mean-reversion weight
• Kalman acceleration: up to +3.0 points (scaled by magnitude)
Classical Technical Analysis:
• RSI oversold (<30) / overbought (>70): +1.5 points
• RSI divergence (bullish/bearish): +2.5 points
• High relative volume (>1.5x): +0-2.0 points (scaled)
• Volume impulse (>2.0x): +1.5 points
• VWAP extremes: +1.0 point
• Trend alignment (Kalman fast vs slow): +1.5 points
• MACD crossover/momentum: +1.0 point
Structural Factors:
• Near support (within 0.5 ATR): +0-2.0 points (inverse distance)
• Near resistance (within 0.5 ATR): +0-2.0 points (inverse distance)
• Harmonic PRZ zone: +3.0 to +6.0 points (pattern score dependent)
• Break of structure: +1.5 points
Regime Adjustments:
• Trend weight: 1.5× in trend regime, 0.5× in mean-reversion
• Mean-reversion weight: 1.5× in MR regime, 0.5× in trend
• Volatility multiplier: 0.7-1.3× based on ATR regime
• Theory mode multiplier: 0.8× (Conservative) to 1.2× (APEX)
Final Threshold:
Base threshold (default 3.5) adjusted by:
• Theory mode: -0.3 (APEX) to +0.8 (Conservative)
• Regime: +0.5 (high vol) to -0.3 (low vol or strong trend)
• Filter: +0.2 if regime filter enabled
5. SIGNAL GENERATION ARCHITECTURE
Five-stage validation process:
Stage 1 - ML Kernel Analysis:
• Entropy threshold check
• DFA regime classification
• Kalman acceleration confirmation
Stage 2 - Structural Confirmation:
• Market structure supports directional bias
• BOS alignment (if required)
• Swing point validation
Stage 3 - Trigger Validation:
• Engulfing candle (if required)
• HTF bias confirmation (if strict HTF enabled)
• Harmonic PRZ alignment (if confirmation enabled)
Stage 4 - Consistency Check:
• Anticipation depth: checks N bars back (1-13 configurable)
• Ensures Kalman acceleration direction persists
• Filters whipsaw conditions
Stage 5 - Structural Soundness (Critical Filter):
• Verifies adequate room before next major swing level
• Long signals: must have >0.25 ATR clearance to last swing high
• Short signals: must have >0.25 ATR clearance to last swing low
• Prevents trades directly into obvious structural barriers
Dynamic Risk Management:
• Stop-loss: Placed beyond last structural swing ± 2 ticks
• Take-profit 1: Risk × configurable R1 multiplier (default 1.5R)
• Take-profit 2: Risk × configurable R2 multiplier (default 3.0R)
• Confidence score: Calibrated 0-99% based on confluence + kernel boost
6. ADAPTIVE REGIME SYSTEM
Continuous market state monitoring:
Trend Regime:
• Kalman fast vs slow positioning
• Multi-timeframe alignment (optional HTF)
• Strength: ATR-normalized fast/slow spread
Volatility Regime:
• Current ATR vs 100-bar average
• Regime ratio: 0.7-1.3 typical range
• Affects swing size filtering and cooldown periods
Signal Cooldown:
• Base: User-set bars (1-300)
• High volatility (>1.5): cooldown × 1.5
• Low volatility (<0.5): cooldown × 0.7
• Post-BOS: minimum 20-bar cooldown enforced
FOUR OPERATIONAL MODES
CONSERVATIVE MODE:
• Threshold adjustment: +0.8
• Mode multiplier: 0.8×
• Strictest filtering for highest quality
• Recommended for: Beginners, large accounts, swing trading
• Expected signals: 3-5 per week (typical volatile instrument)
BALANCED MODE:
• Threshold adjustment: +0.3
• Mode multiplier: 1.0×
• Standard operational parameters
• Recommended for: General trading, learning phase
• Expected signals: 5-10 per week
APEX MODE:
• Threshold adjustment: -0.3
• Mode multiplier: 1.2×
• Maximum sensitivity, reduced cooldowns
• Recommended for: Scalping, high volatility, experienced traders
• Expected signals: 10-20 per week
INSTITUTIONAL MODE:
• Threshold adjustment: +0.5
• Mode multiplier: 1.1×
• Enhanced structural weighting, HTF emphasis
• Recommended for: Professional traders, swing positions
• Expected signals: 4-8 per week
VISUAL COMPONENTS
1. Fibonacci Retracement Levels
• Auto-calculated from most recent swing structure
• Standard levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%, 200%, 261.8%
• Key levels emphasized (50%, 61.8%, 100%, 161.8%)
• Color gradient from bullish to bearish based on level
• Automatic cleanup when levels are crossed
• Label intensity control (None/Fib only/All)
2. Support and Resistance Lines
• Dynamic horizontal levels from swing clusters
• Width: 2px solid lines
• Colors: Green (support), Red (resistance)
• Labels show price and level type
• Touch-based validation (minimum 2 touches)
• Real-time updates and invalidation
3. Harmonic PRZ Boxes
• Displayed around pattern completion (D point)
• Pattern-specific colors (Gartley: purple, Bat: orange, etc.)
• Box height: ATR-based zone sizing
• Score-dependent transparency
• 100-bar active window before removal
4. Confluence Boxes
• Appear when confluence ≥ threshold
• Yellow/orange gradient based on score strength
• Height: High to low of bar
• Width: 1 bar on each side
• Real-time score-based transparency
5. Kalman Filter Lines
• Fast filter: Bullish color (green default)
• Slow filter: Bearish color (red default)
• Width: 2px
• Transparency adjustable (0-90%)
• Optional display toggle
6. Signal Markers
• Long: Green triangle below bar (tiny size)
• Short: Red triangle above bar (tiny size)
• Appear only on confirmed signals
• Includes alert generation
7. Premium Dashboard
Features real-time metrics with visual gauges:
Layout Options:
• Position: 4 corners selectable
• Size: Small (9 rows) / Normal (12 rows) / Large (14 rows)
• Themes: Supreme, Cosmic, Vortex, Heritage
Metrics Displayed:
• Gamma (DFA - 0.5): Shows trend persistence vs mean-reversion
• TCI (Trend Strength): ATR-normalized Kalman spread with gauge
• v/c (Relative Volume): Current vs average with color coding
• Entropy: Market predictability state with gauge
• HFL (High-Frequency Line): Kalman fast/slow difference / ATR
• HFL_acc (Acceleration): Second derivative momentum
• Mem Bias: Net bullish-bearish confluence (-1 to +1)
• Assurance: Confidence × (1-entropy) metric
• Squeeze: Bollinger Band / Keltner Channel squeeze detection
• Breakout P: Probability estimate from DFA + trend + acceleration
• Score: Final confluence vs threshold (normalized)
• Neighbors: Active harmonic patterns count
• Signal Strength: Strong/Moderate/Weak classification
• Signal Banner: Current directional bias with emoji indicators
Gauge Visualization:
• 10-bar horizontal gauges (█ filled, ░ empty)
• Color-coded: Green (strong) / Gold (moderate) / Red (weak)
• Real-time updates every bar
HOW TO USE
Step 1: Configure Mode and Resolution
• Select Theory Mode based on trading style (Conservative/Balanced/APEX/Institutional)
• Set Structural Resolution (Standard for fast markets, High for balanced, Ultra/Institutional for swing)
• Enable Adaptive Filtering (recommended for all volatile assets)
Step 2: Enable Desired Kernels
• Shannon Entropy: Essential for predictability detection (recommended ON)
• DFA Analysis: Critical for regime classification (recommended ON)
• Kalman Filter: Provides lag-free trend tracking (recommended ON)
• All three work synergistically; disabling reduces effectiveness
Step 3: Configure Confluence Factors
• Enable desired technical factors (RSI, MACD, Volume, Divergence)
• Enable Liquidity Mapping for support/resistance proximity scoring
• Enable Harmonic Detection if trading pattern-based setups
• Adjust base confluence threshold (3.5 default; higher = fewer, cleaner signals)
Step 4: Set Trigger Requirements
• Require Engulfing: Adds precision, reduces frequency (recommended for Conservative)
• Require BOS: Ensures structural alignment (recommended for trend-following)
• Require Structural Soundness: Critical filter preventing traps (highly recommended)
• Strict HTF Bias: For multi-timeframe traders only
Step 5: Adjust Visual Preferences
• Enable/disable Fibonacci levels, S/R lines, PRZ boxes, confluence boxes
• Set label intensity (None/Fib/All)
• Adjust transparency (0-90%) for overlay clarity
• Configure dashboard position, size, and theme
Step 6: Configure Alerts
• Enable master alerts toggle
• Select alert types: Anticipation, Confirmation, High Confluence, Low Entropy
• Enable JSON details for automated trading integration
Step 7: Interpret Signals
• Wait for triangle markers (green up = long, red down = short)
• Check dashboard for confluence score, entropy, DFA regime
• Verify signal aligns with higher timeframe bias (if using HTF setting)
• Confirm adequate space to take-profit levels (no nearby structural barriers)
Step 8: Execute and Manage
• Enter at close of signal candle (or next bar open)
• Set stop-loss at calculated level (visible in alert if JSON enabled)
• Scale out at TP1 (1.5R default), trail remaining to TP2 (3.0R default)
• Exit early if entropy spikes >0.7 or DFA regime flips against position
CUSTOMIZATION GUIDE
Timeframe Optimization:
Scalping (1-5 minutes):
• Theory Mode: APEX
• Anticipation Depth: 3-5
• Structural Resolution: STANDARD
• Signal Cooldown: 8-12 bars
• Enable fast kernels, disable HTF bias
Day Trading (15m-1H):
• Theory Mode: BALANCED
• Anticipation Depth: 5-8
• Structural Resolution: HIGH
• Signal Cooldown: 12-20 bars
• Standard configuration
Swing Trading (4H-Daily):
• Theory Mode: INSTITUTIONAL
• Anticipation Depth: 8-13
• Structural Resolution: ULTRA or INSTITUTIONAL
• Signal Cooldown: 20-50 bars
• Enable HTF bias, strict confirmations
Market Type Optimization:
Forex Majors:
• All kernels enabled
• Harmonic patterns effective
• Balanced or Institutional mode
• Standard settings work well
Stock Indices:
• Emphasis on volume analysis
• DFA critical for regime detection
• Conservative or Balanced mode
• Enable liquidity mapping
Cryptocurrencies:
• Adaptive filtering essential
• Higher volatility regime expected
• APEX mode for active trading
• Wider ATR multiples for swing sizing
IMPORTANT DISCLAIMERS
• This indicator does not predict future price movements
• Computational kernels calculate probabilities, not certainties
• Past confluence scores do not guarantee future signal performance
• Always backtest on YOUR specific instruments and timeframes before live trading
• Machine learning kernels require calibration period (minimum 100 bars of data)
• Performance varies significantly across market conditions and regimes
• Signals are suggestions for analysis, not automated trading instructions
• Proper risk management (stops, position sizing) is mandatory
• Complex calculations may impact performance on lower-end devices
• Designed for liquid markets; avoid illiquid or gap-prone instruments
PERFORMANCE CONSIDERATIONS
Computational Intensity:
• DFA analysis: Moderate (scales with length and box size parameters)
• Entropy calculation: Moderate (scales with lookback and bins)
• Kalman filtering: Low (efficient state-space updates)
• Harmonic detection: Moderate to High (pattern matching across swing history)
• Overall: Medium computational load
Optimization Tips:
• Reduce Structural Analysis Depth (144 default → 50-100 for faster performance)
• Increase Calc Step (2 default → 3-4 for lighter load)
• Reduce Pattern Analysis Depth (8 default → 3-5 if harmonics not primary focus)
• Limit Draw Window (150 bars default prevents visual clutter on long charts)
• Disable unused confluence factors to reduce calculations
Best Suited For:
• Liquid instruments: Major forex, stock indices, large-cap crypto
• Active timeframes: 5-minute through daily (avoid tick/second charts)
• Trending or ranging markets: Adapts to both via regime detection
• Pattern traders: Harmonic integration adds geometric confluence
• Multi-timeframe analysts: HTF bias and regime detection support this approach
Not Recommended For:
• Illiquid penny stocks or micro-cap altcoins
• Markets with frequent gaps (stocks outside regular hours without gap adjustment)
• Extremely fast timeframes (tick, second charts) due to calculation overhead
• Pure mean-reversion systems (unless using CONSERVATIVE mode with DFA filters)
METHODOLOGY NOTE
The computational kernels (Shannon Entropy, DFA, Kalman Filter) are established statistical and signal processing techniques adapted for financial time series analysis. These are deterministic mathematical algorithms, not predictive AI models. The term "machine learning" refers to the adaptive, data-driven nature of the calculations, not neural networks or training processes.
Confluence scoring is rule-based with regime-dependent weighting. The system does not "learn" from historical trades but adapts its sensitivity to current volatility and trend conditions through mathematical regime classification.
SUPPORT & UPDATES
• Questions about configuration or usage? Send me a message on TradingView
• Feature requests are welcome for consideration in future updates
• Bug reports appreciated and addressed promptly
• I respond to messages within 24 hours
• Regular updates included (improvements, optimizations, new features)
FINAL REMINDERS
• This is an analytical tool for confluence analysis, not a standalone trading system
• Combine with your existing strategy, risk management, and market analysis
• Start with paper trading to learn the system's behavior on your markets
• Allow 50-100 signals minimum for performance evaluation
• Adjust parameters based on YOUR timeframe, instrument, and trading style
• No indicator guarantees profitable trades - proper risk management is essential
— Dskyz, Trade with insight. Trade with anticipation.
Quantum Reservoir Computing⚛ Quantum Reservoir Computing - Multi-Scale Market Analysis
OVERVIEW
This indicator combines three structural analysis kernels (Energy, Resonance, Topology) with a 6-spin reservoir computing network to provide multi-dimensional market state monitoring. It is designed to detect structural shifts, coherence alignment, and potential entry timing through visual analytics and optional signal markers.
WHAT MAKES IT ORIGINAL
Unlike single-indicator approaches, QRC fuses complementary analysis methods and uses a reservoir computing layer (coupled oscillator network) to capture temporal market structure. The system uses entropy-compensated signal logic to maintain directional alignment across kernels with inverted mathematical properties.
HOW IT WORKS (Technical Details)
1. ENERGY KERNEL
Measures compression state through two components:
• Entropy: Volatility-normalized return distribution, inverted (low volatility = high compression energy)
• ATR Compression: Short-period ATR divided by longer-period baseline ATR
• Final Energy: Weighted average of both components, ranging 0 to 1
2. RESONANCE KERNEL
Calculates cross-timeframe coherence using:
• 6 exponential moving averages (periods: 9, 14, 20, 30, 48, 84)
• Slope calculation for each EMA
• Amplitude weighting based on user-selected mode (Close/ATR/StDev)
• Coherence Index (CI): Measures directional agreement across all timeframes
• Mode Persistence: Stability of CI over 20 bars
3. TOPOLOGY KERNEL
Analyzes path geometry through:
• Turn density: Rate of price directional changes
• Curvature: Second-order price differences normalized by ATR
• Combined into a 0-1 topology change metric
4. RESERVOIR COMPUTING (6-Spin Network)
Six coupled state variables (spins) arranged in a ring topology:
• Drive signal combines directional consensus, price z-score, volume, and ATR regime
• Each spin updates via hyperbolic tangent activation with neighbor coupling
• Psi (Ψ): Coherence measure (average pairwise spin correlation)
• Spin Direction: Signed average of all spins
• Pulse detection: Positive changes in Ψ, z-scored to detect energy releases
5. FUSION & SCORING
• Magnitude: Weighted combination of all kernels (0 to 1 scale)
• Direction: Blend of EMA slope consensus, basis slope, and spin direction (-1 to 1)
• ScoreSigned: Direction multiplied by Magnitude (drives visuals)
• GateScore: Amplified score used only for signal threshold checks
• Heat: Entanglement measure combining Ψ, CI, and Magnitude
SIGNAL LOGIC (Important: Entropy-Compensated Inversion)
Because the entropy kernel naturally inverts (low volatility = bullish compression), signal logic compensates to maintain directional alignment:
• LONG signals fire when GateScore crosses below the short threshold (bearish GateScore + bullish structure)
• SHORT signals fire when GateScore crosses above the long threshold (bullish GateScore + bearish structure)
This inversion has been visually validated through metric plotting and maintains correct alignment with Resonance and Topology kernels.
Signal gates require:
• Two-of-three pass: CI ≥ minimum, Mode Persistence ≥ minimum, Ψ ≥ minimum
• Heat ≥ minimum threshold
• OR recent pulse window active (ΔΨ edge within N bars)
• Minimum bar spacing between signals (prevents clustering)
VISUAL COMPONENTS
1. Contained Ribbon (Recommended Mode)
• Center line: Basis EMA
• Edge: Positioned by ScoreSigned value
• Fill color: Green (bullish) or Red (bearish)
• Width: ATR-adaptive with configurable floor/ceiling
2. Quantum Aurora (Multi-Layer Energy Bands)
• 5-8 harmonic layers with phase-driven oscillations
• Colors shift with Heat level (cool blue at low Heat, warm orange/magenta at high Heat)
• Creates visual texture that reflects market state dynamics
3. Interference Mesh
• Subtle oscillating overlay modulated by CI and ScoreSigned
• Provides depth perception without visual clutter
4. Resonance Cloud
• Width proportional to Coherence Index
• Wide cloud = strong cross-timeframe alignment
• Narrow cloud = weak structural coherence
5. Energy Particles
• Floating micro-dots with density mapped to Magnitude
• Color-coded by Heat level (gold/cyan/gray)
• Provides continuous conviction feedback
6. Regime Atmosphere
• Background tint indicating market mode:
- Green: Coherent trend (CI>0.65, Ψ>0.55)
- Red: Choppy regime (CI<0.45, Ψ<0.40)
- Purple: Transition state
DASHBOARDS
1. Main Dashboard (Moveable, Resizable)
• Regime indicator with color-coded status
• Horizontal meter gauges for Ψ, CI, Heat, Magnitude
• Signal strength bars for Score and Gate
• Status indicators (dots) for ΔΨ, Heat, CI health
• Directional arrows and bars-since-signal counter
• Size options: Tiny, Small, Normal, Large
• Position: All four corners available
2. Heat HUD (Entanglement Matrix)
• Multi-row gradient display of last N bars (configurable 10-120)
• Metrics: Heat, Psi, CI, Magnitude, Pulse Z-score, Gate proximity
• Color-coded blocks show metric intensity over time
• Live footer with current values
• Resizable and moveable
HOW TO USE
Step 1: Monitor Regime and Structure
• Check Dashboard regime indicator (Trend/Chop/Transition)
• Observe Aurora flow (smooth = stable, erratic = unstable)
• Wide Resonance Cloud indicates strong multi-timeframe alignment
Step 2: Watch Entanglement Heat
• Heat HUD shows persistent structure as amber/red runs
• Green status dots indicate healthy metrics
• Rising Heat + rising Ψ suggests mode-locking
Step 3: Confirm Gate Conditions
• Dashboard displays effective thresholds (dynamically relaxed after dry periods)
• Two-of-three gate (CI/ModePersistence/Ψ) must pass OR recent pulse active
• Strength bars show conviction level
Step 4: Interpret Signals
• Enable "Show Diagnostic Plots" to verify metric behavior on your symbols
• Signals appear as tiny triangles (green below bars = long, red above = short)
• Best confluence: Heat rising + fresh pulse cluster + strong CI
Step 5: Risk Management
• Place stops beyond opposite ribbon edge plus 0.5 ATR buffer
• Trail stops following basis ± ATR fraction while Heat/Psi remain elevated
• Exit early if CI or Ψ collapse (status dots turn yellow/red)
CUSTOMIZATION
Extensive settings available:
• Core: EMA length, ATR length, pulse thresholds, heat minimum
• Signals: Mode (Aggressive/Normal/Conservative), thresholds, spacing, gain
• Visuals: Ribbon mode, Aurora layers, particle density, all show/hide toggles
• Dashboards: Size, position for both main dashboard and heat HUD
• Diagnostics: Optional metric plots for validation
IMPORTANT DISCLAIMERS
• This indicator does not predict future price movements
• Signals use entropy-compensated inversion (explained above); verify on your symbols
• Always backtest on your specific markets and timeframes before live trading
• Past performance does not guarantee future results
• Heavy visuals may impact performance on lower-end devices (use Performance toggles)
• Designed for liquid markets (major indices, forex, crypto); may underperform on illiquid symbols
• Complex system with learning curve; read full guide embedded in code
DIAGNOSTIC MODE
Enable "Show Diagnostic Plots" in settings to verify metric behavior:
• Heat, Psi, CI, Magnitude plotted in lower pane
• ScoreSigned and GateScore normalized to 0-1 scale
• Reference lines at 0.25, 0.5, 0.75 for threshold context
• Observe metric alignment with price action on YOUR symbols
METHODOLOGY NOTE
The "Quantum" terminology refers to the reservoir computing methodology (coupled oscillator network), not actual quantum mechanics. The 6-spin network uses hyperbolic tangent activation functions to model temporal market structure. This is a deterministic mathematical model, not a quantum computing system.
BEST SUITED FOR
• Liquid markets: Major indices (ES, NQ), forex majors (EUR/USD, GBP/USD), large-cap crypto (BTC, ETH)
• Timeframes: 5-minute through daily (works on all, but designed for intraday to swing)
• Trading styles: Structure-based entries, multi-timeframe confluence, visual state monitoring
• Experience level: Intermediate to advanced (complex system with learning curve)
PERFORMANCE CONSIDERATIONS
• Heavy calculations (6 spins, 6 EMAs, Aurora layers, particles) may lag on lower-end devices
• Use "Dashboard Size: Tiny" and reduce "Aurora Layers" to 2-3 for better performance
• Consider disabling "Energy Particles" on mobile devices
• Script is optimized with array capping and label recycling, but complexity remains high
SUPPORT & UPDATES
• Questions about usage or settings? Send me a message - I respond within 24 hours
• Feature requests are welcome for consideration in future updates
• Bug reports appreciated and addressed promptly
• Script will be maintained and updated as needed
FINAL REMINDERS
• This is an analytical tool, not a trading system
• Always backtest on YOUR symbols and timeframes before live use
• Use proper risk management - stops, position sizing, etc.
• Past performance does not guarantee future results
• Start with demo/paper trading to learn the system
— Dskyz, Trade with insight. Trade with anticipation.
SerenitySerenity: Find Serenity in Market Chaos
Every trader starts somewhere, often diving headfirst into the markets with charts cluttered by layers of lines, oscillators, and signals. It's easy to get caught up testing one approach after another—adding more tools, tweaking strategies, chasing the latest idea that promises clarity. The cycle repeats: overload the setup, second-guess every move, switch things up when results don't click right away. Over time, it becomes clear that jumping between setups rarely builds the consistency needed to navigate the ups and downs.
That's where the idea for Serenity came from—a way to step back from the noise and focus on a structured approach that encourages sticking to a plan and building consistency.
Built on the philosophy that no single perspective captures the full picture, Serenity offers two complementary views—Skye and Shade—to provide a more rounded interpretation of the market. Serenity’s logic builds on core market concepts—trend, momentum, and volume—combining them through carefully structured conditions that work across multiple timeframes. By focusing on where these elements align, it highlights key moments in the market while filtering out noise, providing clear and meaningful visual cues for analysis.
Skye focuses on faster-moving trends and momentum shifts, highlighting potential opportunities with a riskier, more agile approach. Shade takes a more conservative stance, emphasizing broader confirmations through volume and market structure. By integrating multiple timeframes and carefully crafted conditions, Serenity identifies key moments where price action, momentum, and market strength converge. Whether you're a scalper chasing quick moves, a day trader riding intraday waves, or a swing trader eyeing longer trends, Serenity adapts to any trading style, offering a flexible lens for both risk-tolerant and cautious approaches. Used together, Skye and Shade create a balanced view, filtering out distractions without overcomplicating the chart.
Even with its structure, Serenity remains a framework for interpretation—built on trend, momentum, and volume concepts that distill complex market movement into clear, visual markers like color shifts or highlighted zones. It’s a tool to see through the chaos, not a definitive answer.
Understanding Serenity’s Two Perspectives
Serenity is built around two complementary perspectives—Skye and Shade—each designed to interpret market behavior through a distinct lens. While they share the same foundation of trend, momentum, and volume analysis, they differ in speed, sensitivity, and purpose.
Skye
Skye focuses on the faster side of market behavior. It reacts quickly to changes in trend and momentum, making it well-suited for traders who prefer agility and earlier entries. Skye thrives in environments where price moves sharply and timing matters.
Its logic leans on short-term structure shifts, refined momentum cues, and cross-timeframe alignment to highlight areas where strength is building or fading. The perspective is intentionally more responsive—capturing movement before it’s fully confirmed, at the cost of increased sensitivity.
Shade
Shade takes a steadier, more measured approach. Where Skye seeks opportunity in early momentum, Shade looks for confirmation—aligning trend, volume, and structure to reinforce conviction.
It filters out minor fluctuations to focus on broader conditions, offering a cleaner perspective on established direction and underlying market strength. This makes it particularly suited for traders who value confirmation over speed—day traders looking for solid follow-through or swing traders aiming for consistency across larger moves.
Serenity’s Reversal Signals
In addition to its dual perspectives, Serenity provides two signal markers designed to highlight potential reversal areas:
Twilight Reversal
Twilight draws attention to areas where upward momentum might begin to build. It serves as a visual cue for zones where buying interest could be forming, helping you focus on potential opportunities for a positive shift in market behavior.
Eclipse Reversal
Eclipse highlights areas where downward pressure may be emerging. It marks zones where sellers could be gaining influence, guiding your attention to potential points where market strength may start to wane.
Together, these signals act as complementary tools to Skye and Shade, helping you interpret the market by showing areas where momentum could be shifting, all while keeping the chart clean and structured.
Saty ATR Levels w/labelsSatys ATR Levels with labels, Allows for the user to plot ATR levels and see labels with the addition of this script
Flip to GreenPurpose:
This indicator applies a Lorentzian-distance–based machine-learning model to classify market conditions and highlight probable momentum shifts.
Where traditional indicators react to price movement, this one uses statistical pattern recognition to predict when momentum is likely to flip direction — the classic “flip to green” signal.
Concept:
Financial markets don’t move linearly; they bend and distort around major catalysts (news, FOMC meetings, earnings, etc.) in a way similar to how gravity warps space-time.
This indicator accounts for that distortion by measuring distance in Lorentzian space instead of the usual Euclidean space.
In simple terms: it adapts to volatility “warping,” allowing the model to detect structural momentum changes that normal math misses.
Core logic:
Imports two custom libraries:
MLExtensions for machine-learning utilities
KernelFunctions for advanced distance calculations
Computes relationships among multiple features (e.g., RSI, ADX, or other inputs).
Uses Lorentzian geometry to weight how recent price-time behavior influences current classification.
Outputs a visual “flip” cue when the probability of trend reversal exceeds threshold confidence.
Why it matters:
Most indicators measure what has already happened.
Lorentzian Classification attempts to capture what’s about to happen by comparing the present market state to a trained historical distribution under warped “price-time” geometry.
It’s particularly useful for spotting early accumulation or exhaustion zones before they become obvious on standard momentum tools.
Recommended use:
Run it as a background trend classifier or color overlay.
Combine it with volume-based confirmation tools (e.g., Dollar Volume Ownership Gauge) and structural analysis.
A “flip to green” suggests buyers are regaining control; a fade or flip to red implies control returning to sellers.
Dollar Volume Ownership GaugePurpose:
DVOG tracks the real money moving through a ticker by converting share volume into dollar volume (price × volume). It helps identify when institutional-sized players enter, defend, or unload positions — information that plain volume bars often hide.
How it works:
Each bar represents 4-minute aggregated dollar volume.
Green bars = moderate sponsorship ($400 K–$1 M per 4 min).
Red bars = heavy sponsorship ($1 M+ per 4 min).
Black bars = normal retail flow (under $400 K).
Optional horizontal guides mark both thresholds for quick reference.
Alerts:
Green Bar Alert: fires every time a bar exceeds $400 K, signaling fresh institutional activity.
Cross Alerts: trigger once when dollar volume crosses the $400 K or $1 M levels, perfect for automation or notifications.
Why it’s useful:
DVOG visually confirms when a breakout, knife-and-reclaim, or coil is being driven by real capital rather than low-liquidity noise.
It turns abstract volume into a direct measure of who’s actually in control.
Recommended use:
Run it in a separate pane below price. Combine with your normal structure analysis — higher lows, double bottoms, coils, etc. — and act only when structure and sponsorship line up.
VWAP H/L Break - NQVWAP crossover with fib targets
bar closing over VWAP(high) go long
bar closing under VWAP (low) go short
fib targets based on closing candle and previous candle.
Precision Swing Point (2-Stage) - SMT [Pogiest]General
Precision Swing Point (PSP) is a concept derived from Quarterly Theory concepts originating from ICT methodologies. The concept typically uses a 3-candle swing formation in which candle 2 has a divergence in the closing price with one asset compared to the other two assets in a correlated asset triad (i.e. one closes bullish and other two closes bearish, vice-versa). A Terminus Price Divergence (TPD) is an additional divergence between candle 1’s closing price and candle 3’s opening price (i.e. one asset’s candle 3 opening price opens below candle 1 closing price while the other two assets’ candle 3 opening price opens above candle 1 closing price, vice-versa). The candle 3 divergence and candle 2 divergence put together is what defines a TPD. This indicator is designed to track TPDs in real time as they are forming. Additionally, the indicator tracks SMT (Smart Money Technique) divergences between Candle 1/Candle 2 highs/lows and Candle 2/Candle 3 high/lows.
Note: Credit of concepts/ideas goes to TraderDaye, JacobSpeculates, The Market Lens Team, and ICT.
In the image above, the higher timeframe candle overlay are displayed on the chart to be shown as an example with the indicator (table). Higher timeframe candles are not included as part of the indicator. This indicator is only comprised of the table shown.
How the Indicator Table Works
Timeframe Column:
1. Displays up to four different timeframes to monitor.
Asset Columns:
1. Cells display “Bull” or “Bear” showing the current state of each candle and updates in real-time tick by tick.
TPD Status Column (see defined divergences in General section above):
1. “Inactive” indicates no divergence in all assets (i.e. all three assets in a triad are all printing bullish or bearish candles)
2. “Pending” indicates a potential divergence in candle 2’s closing price (i.e. one asset’s current state in candle 2 is bearish while the others are bullish, vice versa). This updates in real-time tick by tick and continues to monitor each candle as they form for a candle 2 divergence.
3. “Active” indicates a confirmed TPD in which both a candle 2 divergence and candle 3 divergence (i.e. divergence between candle 3 opening price and candle 1 closing price) exists.
Note 1: If candle 2 has an asset in a correlated triad close as a doji candle (opening price and closing price are exactly the same) while the other two assets close bullish or bearish, the indicator will not deem candle 2 as a valid PSP candle. There has to be a divergence in the opening/closing price on at least two assets to be valid.
Note 2: Any historical TPDs will not be displayed in the table as this indicator only tracks TPDs in real time and continuously monitors for potential TPDs and confirmed TPDs.
Added Feature (2 Stage PSP)
SMT 1: Displays an SMT consecutive candle divergence between candle 1 and candle 2’s highs and lows. This is displayed once a TPD is in “Active” status while candle 3 is printing. Therefore, the label in the table cell displays past data (Candle 1 and Candle 2 high/low SMTs).
1. “Inactive” indicates there were no SMT divergences.
2. “Asset symbol names” are displayed with a corresponding up arrow or down arrow. Cell background color is red for SMT Divergence at the highs and green for SMT Divergence at the lows. For example, if there was a bearish SMT at the highs of candle 1/candle 2 and one asset made the higher high in candle 2, then that asset would have the up arrow indicating it swept candle 1’s high while the other assets have the down arrow as they did not sweep candle 1’s high. This works vice versa for bullish scenario.
3. “Both” indicates there are SMT divergences at both the highs and lows of candle 1 and candle 2.
SMT 2: Displays an SMT consecutive candle divergence between candle 2 and candle 3’s highs and lows. This is displayed while a TPD is in “Active” status and updates in real-time tick by tick during candle 3’s price action.
1. “Inactive” indicates there are no current SMT divergences.
2. “Asset symbol names” are displayed with a corresponding up arrow or down arrow. Cell background color is red for SMT Divergence at the highs and green for SMT Divergence at the lows. For example, if there was a bearish SMT at the highs of candle 2/candle 3 and one asset made the higher high in candle 3, then that asset would have the up arrow indicating it swept candle 2’s high while the other assets have the down arrow as they did not sweep candle 2’s high. If one of the assets that did not sweep candle 2’s high ends up sweeping the high, then that asset will dynamically move to the left of the cell next to the asset that swept candle 2’s high with an up arrow leaving only one asset with the down arrow. If the last asset ends up sweeping candle 2’s high, then the cell would change to “Inactive”. This works vice versa for bullish scenario.
3. “Both” indicates there are SMT divergences at both the highs and lows of candle 2 and candle 3. If an SMT on one side gets deleted, then the cell will automatically update to display the SMT that is still intact.
Note: Equal lows/highs are considered to be a failure swing since it did not sweep the previous candle low/high.
Settings
1. Choose up to three different assets to monitor.
Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets.
2. Choose up to four different timeframes. Option to deselect timeframes.
3. Option to enable all alerts or active alerts. Alerts include the different status changes in the table (i.e. Pending, Active, Bullish SMT, Bearish SMT, etc for each or all timeframes).
4. Toggle option to show/hide the table. Toggle option to show/hide the “Title Row” which is the first row at the top of the table.
5. Adjust the table positioning to be displayed on the chart.
6. Option to change text size in the table cells. This will also increase/decrease the size of the table.
7. Table Color Customization gives you options to change the background colors of the cells including text color.
What makes this indicator unique:
1. Track current PSP/TPD status in real-time tick by tick as candles form in multiple timeframes.
2. Track consecutive candle SMT in a 3-candle swing formation in real-time in multiple timeframes.
3. Instead of switching through timeframes to check for PSPs/TPDs, they are consolidated in one table.
Risk Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user.
Trading involves a high degree of risk, and past performance is not indicative of future results.
Always conduct your own research and consult with a qualified financial professional before making any trading decisions.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
Key LevelsKey Levels automatically plots the most important price levels directly on your chart — giving you instant clarity on where the market is reacting.
What It Shows
Daily Levels:
Daily Open
Previous Day High & Low
Previous Day Equilibrium (Midpoint)
Weekly Levels:
Previous Week High & Low
Previous Week Equilibrium
Monthly Levels:
Previous Month High & Low
Previous Month Equilibrium
Yearly Levels:
Previous Year High & Low
Previous Year Equilibrium
Features
Fully customizable colors, styles, and line types
Option to toggle each timeframe on/off
Works on any symbol or timeframe
Lightweight and non-intrusive
💡 Why Use It
Easily identify areas where price is likely to react — such as liquidity pools, range extremes, and institutional levels. Perfect for day traders, swing traders, and smart money concept users.
DayTrader Plug and Play Score Strategy HSBeen playing around with automating a strategy and to make something more flexible in updating indicators/ risk reward scenarios.
I Trade on 5 min timeframe choosing stocks from a day trading scanner I use to evaluate premarket movement.
This script take into account short term EMA crossovers, VWAP, RSI, Candlesticks, and previous day S/R lines to determine buy/sell points. It Mostly runs on a VWAP strategy and will only buy when price is above VWAP and only sell when price is below VWAP. But uses the other indicators as more confirmations.
All of these indicators come together to form a score 1-8.5 and gives buy/sell signals based on the score.
Strategy is as below:
My Stock scanner gives me anywhere from 3-5 stocks per day to trade. (Not included)
Strategy will only trade once per day per stock.
Strategy closes positions after 2 hours in the market.
Strategy closes all positions 5 min before end of day close.
Trade size is set to 1% of the account size. The risk is 2% of that trade, reward is 4%.
Score threshold for hitting the indicator threshold is set to 5.5 score
^^This is all editable in the script.
After building and testing an rebuilding for a few months this has been my most profitable strategy in PAPER TRADING so I thought id share. I enjoy this kind of tinkering and scenario testing. Enjoy!
VAGANZA Swings V1 LITE1. Introduction: The Philosophy Behind VAGANZA Swings
The VAGANZA Swings V1 LITE was developed to solve a common problem faced by swing traders: getting caught in low-probability trades during choppy, sideways markets. Many indicators can identify a trend, but few can effectively measure its quality and pinpoint optimal, low-risk entry points within that trend.
This script is not merely a "mashup" of existing indicators. It is a structured, multi-layered filtering system where each component is specifically chosen to address the weaknesses of the others. The core philosophy is to trade only when there is a clear market consensus, confirmed by trend, strength, momentum, and volume. This results in fewer signals, but each signal is designed to be of significantly higher quality.
2. The VAGANZA Confirmation Engine: A Deeper Look at the Logic
A signal is only generated when four distinct market conditions align. This sequential confirmation process is what makes the script unique and robust.
Layer 1: The Trend Regime Filter
What it does: The indicator first establishes the dominant market bias using a dual-speed baseline system. A faster-reacting baseline is compared against a slower, more stable baseline to determine if the market is in a long-term bullish or bearish "regime."
Why it's important: This foundational step ensures we are never fighting the primary market current. BUY signals are disabled during a bearish regime, and SELL signals are disabled during a bullish regime, instantly eliminating 50% of potentially bad trades.
Layer 2: The Trend Strength & Conviction Qualifier
What it does: This is the script's core intelligence. After confirming the trend's direction, this layer uses a directional volatility engine to measure the trend's strength or conviction. It analyzes the expansion between bullish and bearish price movements.
Why it's important: A simple moving average crossover can occur in a weak, drifting market, leading to false signals. This filter requires the trend to be demonstrably powerful (above a predefined strength threshold of 25) before allowing the system to even look for an entry. It's the primary filter for avoiding sideways market traps.
Layer 3: The Dynamic Pullback & Entry Trigger
What it does: Instead of chasing price at its peak, the script waits for a natural "breather" or pullback. It employs a momentum cycle oscillator to identify when the price has become temporarily oversold within a strong uptrend, or overbought within a strong downtrend. The signal is triggered at the precise moment momentum appears to be rejoining the primary trend.
Why it's important: This ensures a more favorable risk-to-reward ratio. By entering on a pullback, traders can avoid buying the top or selling the bottom of a short-term swing, which is a common mistake.
Layer 4: The Volume Participation Check
What it does: As a final confirmation, the script checks the volume on the signal candle. It requires the volume to be higher than its recent average.
Why it's important: A price move without significant volume can be a trap. This final check confirms that there is genuine market participation and conviction behind the signal, suggesting that larger market players are supporting the move.
3. The Synergy of the System (Why This Combination is Original)
The originality of VAGANZA Swings lies not in its individual components, but in their synergistic interaction:
The Trend Regime Filter sets the stage.
The Trend Strength Qualifier prevents signals when the stage is poorly lit (i.e., a weak trend).
The Pullback & Entry Trigger tells the actor exactly when to enter the stage for maximum impact.
The Volume Check ensures the audience is actually watching.
Without the strength filter, the trend filter would fail in ranging markets. Without the pullback trigger, entries would have poor risk-reward. This interdependent, sequential logic provides a unique and useful tool that goes beyond what a single indicator can offer.
4. How to Use This Script
Timeframe: Optimized for the 4-Hour (H4) chart, as this provides a balance between meaningful swings and actionable signals. It can also be used on the Daily (D1) chart for longer-term analysis.
BUY Signal (Green "BUY" Arrow): Appears only when a strong, confirmed uptrend experiences a temporary, oversold pullback and volume confirms renewed buying interest. This is a high-probability signal to consider a long position.
SELL Signal (Red "SELL" Arrow): Appears only when a strong, confirmed downtrend experiences a temporary, overbought rally and volume confirms renewed selling pressure. This is a high-probability signal to consider a short position.
Risk Management: This indicator provides entry signals only. It is crucial that you apply your own risk management rules. Always use a stop-loss and have a clear take-profit strategy for every trade.
Disclaimer: This tool is for decision-support and does not constitute financial advice. All trading involves risk. Past performance is not indicative of future results. Please backtest thoroughly before using this script with real capital.
Triple Stochastic RSITriple Stochastic RSI (TSRSI)
The Triple Stochastic RSI is a momentum visualization tool designed to help identify potential market tops and bottoms with greater clarity. This indicator stacks three layers of smoothed StochRSI — Fast , Slow , and Slowest — each derived from increasingly longer RSI and Stochastic periods.
By analyzing how these layers interact, especially when the Slow (purple) and Slowest (orange) lines converge or cross near overbought or oversold zones, traders can spot high-probability reversal points. These moments often precede price turning points, and the signals gain strength when confirmed by divergences between price and indicator movement.
Key features include:
Triple StochRSI smoothing to capture short- to long-term momentum shifts.
Dynamic overbought/oversold signals with visual cross markers.
Built-in trend sentiment and average streak statistics.
Alerts for crossovers, trend shifts, and extended over/underperformance streaks.
Use it as a standalone momentum framework or as a supporting layer for divergence detection and market exhaustion analysis.
The stats table in your script provides insight into how long each Stochastic line (%K) typically stays above or below the 50 midline, and how the current streak compares to that average.
1. "Current" Column
This shows how many consecutive bars the %K has been:
Above 50 (▲)
OR Below 50 (▼)
It updates in real time on the last bar.
2. "Avg ▲ / Avg ▼" Column
These are historical averages based on your lookbackPeriod (default 1000 bars). It shows:
The average length of time %K stays above 50 (bullish bias)
The average time it stays below 50 (bearish bias)
Example Breakdown:
Let’s say the "Slow" row shows:
Current: 7 ▼
Avg ▲ / Avg ▼: 6 / 5
This means:
%K on the Slow lane has been below 50 for 7 bars
Historically, it only stays below 50 for about 5 bars on average
So, this bearish streak is already longer than usual
How to Use This Information:
A longer-than-average streak could imply a maturing move, potentially near exhaustion.
If current ▲ or ▼ streak is nearing or exceeding its average, it may warn of an upcoming shift.
Good for contextualizing trends and avoiding late entries.
Zarza Trade🕊️ Zarza Trade Indicator for God’s Kingdom
“But remember the Lord your God, for it is He who gives you the power to get wealth, that He may establish His covenant.” — Deuteronomy 8:18
The Zarza Trade Indicator is more than a trading tool — it’s a divinely inspired system designed to help Kingdom traders operate with clarity, discipline, and spiritual alignment in the markets.
Built to detect momentum shifts, liquidity zones, reversals, and smart-money movements, this indicator brings together the best of technical precision and prophetic purpose.
This isn’t just about charts — it’s about stewardship.
Every trade is an act of faith and discernment, partnering with Heaven’s wisdom to prepare for the great wealth transfer that will fund God’s Kingdom projects and reach souls across the nations.
Manual Range FR1 — Open Source ( Miresync )Made by Rafael Matos (Miresync)
EMA 9 – Scalp Trading XAUUSD (Gold)
The EMA 9 (Exponential Moving Average) is a short-term moving average widely used by scalpers and day traders to identify quick price movements with precision and agility.
In this setup, the EMA 9 acts as a dynamic trend guide, helping to pinpoint entry and exit zones for short, fast trades on XAUUSD (Gold).
🎯 Core Strategy:
When price is above EMA 9 → indicates bullish strength → focus on long entries during pullbacks.
When price is below EMA 9 → indicates bearish strength → focus on short entries during pullbacks.
EMA 9 reacts quickly to direction changes, allowing for short and precise scalps that take advantage of microtrends.
MA Crossover Strategy with Trailing Stop 1HTrend-Following Strategy "MA Crossover Strategy with Trailing Stop 1H"
✅ Complete risk management system (stop-loss, take-profit, trailing stop)
✅ Chart visualization (MA lines, stop levels, entry signals)
✅ Automatic closing of opposite positions
✅ Colored trend indication
The strategy uses moving average crossovers for position entry and a multi-level capital protection system.
Reversal Super ScalperUsing Grok I've combined several indicators to be used for scalping reversals. My goal is to make sure it alerts me when all of the below conditions have been met.
Indicators that were combined to make this
FluidTrades - SMC Lite indicator - by Pmgjiv
Money Flow Index MTF + Alerts - by DreamsDefined
WaveTrend Filtered Signals (LazyBear Style) - by Uncle_the_shooter
Q-Trend - by tarasenko_
This strategy is for scalping on the 5 minute timeframe.
This way I can set alerts when the price action is close to demand or support levels marked out by the FluidTrades - SMC Lite indicator, the Money Flow Index MTF + Alerts indicator shows oversold if i'm trying to enter a long position or overbought if I'm trying to enter a short position, and the WaveTrend Filtered Signals indicator pops up a buy/sell signal either on the same 5 min candle or two 5 min candles before the Q-Trend buy/sell signal pops up. Once all of these conditions are met, this is when I would enter into a position at the close of the trigger candle from Q-Trend.
Here is an example of how to use this strategy
BUY (LONG) SIGNAL CONDITIONS
Price action must fall back into a level of demand marked out by the FluidTrades indicator.
The candle wick may cross below the demand level, and the candle body may cross slightly below it, as long as the candle does not close below the demand zone.
If any candle closes below the demand level, the buy signal created by the Q-Trend indicator is canceled. The WaveTrend Filtered Signals indicator should generate an alert on the current 5 min candle that Q-trend is generating a buy signal or two 5 min candles before it.
Money Flow Index (MFI) Condition:
On the candle where the buy signal is triggered by the Q-Trend indicator, the MFI must be oversold, with the white line below the 40 level, inside the Red Zone.
When the above conditions are met, enter after the close of the BUY signal trigger candle.
For the short signal it is the opposite of these conditions.
Criteriosseveral criterias to select stocks, shows for a selected instrument conditions related to EMAs, MA, relative strenght.
I use this table as a final step to select my IN.
