Smart Adaptive Double Patterns [The_lurker]Smart Adaptive Double Patterns
This is an advanced technical indicator that combines two of the strongest and most renowned classical price reversal patterns:
✅ Double Bottom Pattern — a bullish reversal pattern that forms after a downtrend
✅ Double Top Pattern — a bearish reversal pattern that forms after an uptrend
The indicator does not merely detect patterns — it provides a fully integrated, intelligent system that includes:
✅ Precise quality scoring for each pattern using 5 technical criteria
✅ Automatic price target calculation at three levels (Conservative, Balanced, Aggressive)
✅ Multi-layer dynamic filtering to avoid false signals
✅ Live pattern tracking from formation to target achievement or failure
✅ Comprehensive alert system covering all possible trading scenarios
🎯 Why Is This Indicator Unique?
1️⃣ High Detection Accuracy
Unlike traditional indicators that rely on simple rules, this one applies 5 strict structural conditions to confirm pattern validity:
A clear trend must precede the pattern
High symmetry between the two bottoms or two tops
No break of critical price levels during formation
Logical spacing between key points
Technical confirmation from ADX, ATR, and Volume
2️⃣ Advanced Quality Scoring System
Each pattern is scored out of 100 based on 5 weighted criteria:
Symmetry (30%): How closely the two bottoms or tops match
Trend Strength (20%): Strength of the prior trend
Volume Behavior (20%): Trading activity at critical points
Pattern Depth (15%): Vertical distance between neckline and bottom/top
Structural Integrity (15%): Full compliance with structural rules
3️⃣ Smart Target Management
Separate targets for bullish (Double Bottom) and bearish (Double Top) patterns
Separate projections for success and failure cases
Multiple options: Conservative (0.618) / Balanced (1.0) / Aggressive (1.618)
Live tracking with dynamic moving lines
4️⃣ Professional Failure Handling
Failed patterns are not ignored — they are turned into counter-trend opportunities:
Failed Double Bottom → triggers a bearish signal with downside targets
Failed Double Top → triggers a bullish signal with upside targets
Automatic color change for clear visual distinction
5️⃣ Full Customization Flexibility
Enable/disable each pattern independently
22+ adjustable settings
Unique colors for each pattern and quality level
Full bilingual support (Arabic / English)
📐 Pattern Details
🟦 Double Bottom Pattern
Sequence of points:
🔹 Point 1: Peak marking the start of a strong downtrend
🔹 Point 2 (Bottom 1): First low — first key bounce
🔹 Point 3: Intermediate high — forms the neckline (resistance)
🔹 Point 4 (Bottom 2): Second low — should closely match Bottom 1
🔹 Point 5: Breakout point — pattern confirmation
Mandatory Conditions:
✅ Clear downtrend before Point 2
✅ Bottoms 2 & 4 nearly identical (≤1.5% difference by default)
✅ Point 3 higher than both bottoms
✅ Neither bottom is broken during formation
✅ Sufficient time between points (≥10 candles by default)
✅ Success Scenario
→ Price breaks above the neckline (Point 3)
→ Point 5 is plotted at breakout candle
→ Dashed vertical line drawn from Point 5 to target
→ Horizontal dashed line tracks price toward target
→ Dashboard shows: Pattern Type | Quality | Rating | Target | Status
→ When target hits: line turns green + ✅ appears
🎯 Target Calculation
Pattern Height = Point 3 − Point 4
• Conservative: Point 3 + (Height × 0.618 × Quality Factor)
• Balanced: Point 3 + (Height × 1.0 × Quality Factor)
• Aggressive: Point 3 + (Height × 1.618 × Quality Factor)
❌ Failure Scenario
→ Price breaks below both Bottom 1 or Bottom 2 before neckline breakout
Visual Changes:
All lines turn red
Red ✖ appears at breakdown candle
Neckline stops expanding
Red dashed vertical line from breakdown point to bearish target
Red horizontal tracking line follows price
Dashboard updates to:
⚠ Failed Bottom – Bearish
→ Shows new bearish target
→ Indicates target mode for failure case
→ Status: Bearish Reversal
→ Fully red display
🟥 Double Top Pattern
Sequence of points:
🔹 Point 1: Trough marking the start of a strong uptrend
🔹 Point 2 (Top 1): First peak — first key resistance
🔹 Point 3: Intermediate low — forms the neckline (support)
🔹 Point 4 (Top 2): Second peak — should closely match Top 1
🔹 Point 5: Breakdown point — pattern confirmation
Mandatory Conditions:
✅ Clear uptrend before Point 2
✅ Tops 2 & 4 nearly identical (≤1.5% difference by default)
✅ Point 3 lower than both tops
✅ Neither top is breached during formation
✅ Sufficient time between points (≥10 candles by default)
✅ Success Scenario
→ Price breaks below the neckline (Point 3)
→ Point 5 is plotted at breakdown candle
→ Dashed vertical line drawn to target
→ Horizontal tracking line moves with price
→ Dashboard updates accordingly
→ Green line + ✅ on hit
🎯 Target Calculation
Pattern Height = Point 4 − Point 3
• Conservative: Point 3 − (Height × 0.618 × Quality Factor)
• Balanced: Point 3 − (Height × 1.0 × Quality Factor)
• Aggressive: Point 3 − (Height × 1.618 × Quality Factor)
❌ Failure Scenario
→ Price breaks above either Top 1 or Top 2 before neckline breakdown
Visual Changes:
All lines turn cyan (light blue)
Cyan ✖ appears at breakout candle
Neckline stops expanding
Cyan dashed vertical line to bullish target
Cyan horizontal tracking line follows price
Dashboard updates to:
⚠ Failed Top – Bullish
→ Shows new bullish target
→ Indicates target mode for failure case
→ Status: Bullish Reversal
→ Fully cyan display
🎯 Upside Target (after Double Top failure)
Max Top = max(Point 2, Point 4)
Height = Max Top − Point 3
• Conservative: Max Top + (Height × 0.618)
• Balanced: Max Top + (Height × 1.0)
• Aggressive: Max Top + (Height × 1.618)
📊 Quality Scoring System (0–100)
1️⃣ Symmetry (30%)
Measures price match between the two bottoms or two tops.
High score (25–30): Near-perfect symmetry → very strong pattern
Medium (15–24): Good match → reliable signal
Low (5–14): Weak symmetry → use caution
Zero: No symmetry → invalid pattern
2️⃣ Trend Strength (20%)
Uses ADX and DI indicators.
20 pts: Strong trend confirmed (e.g., ADX ≥ 20 + correct DI alignment)
10 pts: Trend filter disabled
6 pts: Weak or sideways trend
3️⃣ Volume Behavior (20%)
Declining volume on second touch is a positive sign (shows exhaustion).
15–20 pts: Clear volume drop → strong signal
10 pts: Neutral volume
6 pts: Rising volume → higher risk of continuation
4️⃣ Pattern Depth (15%)
Deeper patterns = stronger reversals.
12–15 pts: Deep → high reversal power
8–11 pts: Medium → acceptable
<8 pts: Shallow → weak signal
5️⃣ Structural Integrity (15%)
Checks logical structure (e.g., Point 1 > Point 3 in Double Bottom).
12–15 pts: Ideal structure
8–11 pts: Minor flaws
<8 pts: Poor setup
📈 Final Quality Rating & Colors
• 85–100 → ⭐ Excellent
→ Double Bottom: Cyan #00BCD4
→ Double Top: Light Red #FF5252
• 75–84 → ✨ Very Good
• 65–74 → ✓ Good
• 60–64 → ○ Acceptable
→ All use Amber #FFC107
• <60 → ❌ Rejected (not shown)
→ Gray #9E9E9E
🔧 Dynamic Filters
1️⃣ ATR Filter (Volatility Check)
Rejects patterns in abnormally high volatility periods.
→ If current ATR > 1.8 × 50-period ATR MA → pattern rejected
✅ Recommended for crypto, small caps
❌ Optional for calm markets (gold, bonds)
2️⃣ ADX Filter (Trend Confirmation)
Ensures a real trend exists before the pattern.
→ If ADX < 14 (70% of default 20) → pattern rejected
✅ Strongly recommended (keep ON)
3️⃣ Volume Filter (Behavior Validation)
Not used to reject patterns, but strongly affects quality score.
✅ Best for liquid markets (Forex majors, large stocks)
❌ Optional for illiquid assets
⚙️ Key Settings Explained
🔘 General Settings
• Language: Arabic / English
• Show Previous Patterns: Yes / No
→ “No” keeps chart clean; “Yes” for historical review
🔘 Pattern Selection
• Enable Double Bottom: ✅ / ❌
• Enable Double Top: ✅ / ❌
→ Use combinations:
✅✅ → Full reversal scanning
✅❌ → Long setups only
❌✅ → Short setups only
❌❌ → Indicator OFF
🔘 Detection Parameters
• Pivots Left (1–20): Higher = more reliable, fewer patterns
• Pivots Right (1–20): Lower = faster signals
• Min Width (5–100): Min candles between Bottom/Top 1 & 2
• Tolerance % (0.1%–5%): Max allowed price difference
• Min Arm (5–50): Min candles between pivot & neckline
• Min Trend (5–50): Min candles in prior trend
• Trend Lookback (50–500): How far back to detect trend start
• Extension Multiplier (1.0–5.0): How long to wait for breakout
🔘 Quality Settings
• Min Quality Score (0–100):
→ Conservative: 75–85
→ Balanced: 60–70
→ Flexible: 50–55
• Custom Weights: Adjust based on market (e.g., increase Volume weight in Forex)
🔘 Target Settings
• Bottom Bullish Target: Conservative / Balanced / Aggressive
• Bottom Bearish Target: (used on failure)
• Top Bearish Target: Conservative / Balanced / Aggressive
• Top Bullish Target: (used on failure)
🔘 Visual Settings
• Label Size: Small / Normal / Large / Huge
• Pattern Colors: Fully customizable
• Table: Show/Hide + Size (Small/Normal/Large) + Position (Top-Right / Top-Left / Bottom-Right / Bottom-Left)
• Fill Transparency: 70%–95% (default: 85%)
🔔 Alert System (8 Independent Alerts)
📌 Double Bottom Alerts
Bullish Breakout → “Double Bottom Breakout – Bullish!”
Bullish Target Hit → “Bullish Target Achieved!”
Failure (Bearish) → “Double Bottom Failed – Bearish!”
Bearish Target Hit → “Bearish Target Achieved (Failure)!”
📌 Double Top Alerts
Bearish Breakdown → “Double Top Breakdown – Bearish!”
Bearish Target Hit → “Bearish Target Achieved!”
Failure (Bullish) → “Double Top Failed – Bullish!”
Bullish Target Hit → “Bullish Target Achieved (Failure)!”
Each alert can be enabled/disabled independently and supports pop-ups, emails, or webhooks.
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
ค้นหาในสคริปต์สำหรับ "forex"
DarkPool's Gann High Low Activator DarkPool's Gann High-Low Activator.
It enhances the traditional trend-following logic by integrating Heikin Ashi smoothing, Multi-Timeframe (MTF) analysis, and volatility filtering. It is designed to filter out market noise and provide clearer trend signals during volatile conditions.
Underlying Concepts
Heikin Ashi Smoothing: Standard price candles can produce erratic signals due to wicks and short-term volatility. This script includes a "Calculation Mode" setting that allows the Gann logic to run on Heikin Ashi average prices. This smoothes out price data, helping traders stay in trends longer by ignoring temporary pullbacks.
Gann High-Low Logic: The core algorithm tracks the Simple Moving Average (SMA) of Highs and Lows over a user-defined period.
Bullish Trend: Price closes above the trailing SMA of Highs.
Bearish Trend: Price closes below the trailing SMA of Lows.
Volatility & Trend Filtering: To reduce false signals during sideways markets, this tool employs two filters:
ADX Filter (Choppiness): Uses the Average Directional Index to detect low-volatility environments. If the ADX is below the defined threshold (default 20), the indicator identifies the market as "choppy" and suppresses signals to preserve capital.
EMA Filter (Baseline): An optional Exponential Moving Average filter ensures trades are only taken in the direction of the longer-term trend (e.g., Longs only above the 200 EMA).
Features
Dual Calculation Modes: Switch between Standard price logic and Heikin Ashi smoothing logic.
Multi-Timeframe (MTF): Calculate the trend based on a higher timeframe (e.g., 4-Hour) while viewing a lower timeframe chart (e.g., 15-Minute).
Automated JSON Alerts: Generates machine-readable JSON alert payloads compatible with external trading bots and webhooks.
Live Dashboard: A data table displaying the current Trend State, Calculation Mode, ADX Value, and risk percentage.
How to Use
Buy Signal: Generated when the trend flips Bullish, provided the ADX indicates sufficient momentum and the price satisfies the EMA filter (if enabled).
Sell Signal: Generated when the trend flips Bearish, subject to the same momentum and trend filters.
Neutral State (Gray Cloud): When the cloud fill turns gray, the market is in consolidation. It is recommended to avoid entering new positions during this state.
Trailing Stop: The Gann Line serves as a dynamic trailing stop-loss level. A close beyond this line invalidates the current trend.
Settings Configuration
Calculation Mode: Select "Standard" for raw price action or "Heikin Ashi" for smoothed trend following.
Gann Length: Lower values (3-5) are suitable for short-term scalping; higher values (10+) are better for swing trading.
MTF Mode: Enable to lock the calculation to a specific higher timeframe.
ADX Threshold: Adjust based on asset volatility. Recommended: 20-25 for Crypto, 15-20 for Forex/Indices.
Disclaimer
This source code and the information presented here are for educational purposes only. This script does not constitute financial advice, trading recommendations, or a solicitation to buy or sell any financial instruments. Trading in financial markets involves a high degree of risk and may not be suitable for all investors. Past performance is not indicative of future results. The author assumes no responsibility for any losses incurred while using this indicator. Use this tool at your own discretion and risk.
DarkPool's Squeeze Momentum @author LazyBearDarkPool's Squeeze Momentum Pro is a comprehensive overhaul of the classic volatility indicator, designed for the modern trader who requires deeper market insight. While staying true to the core logic of the original TTM Squeeze, this version introduces advanced features like automatic divergence detection, dynamic moving average selection, and main-chart integration to help you time entries and exits with precision.
Credit: This script is built upon the foundational "Squeeze Momentum Indicator" originally developed by LazyBear. This version expands on that legacy with enhanced visualization, alert systems, and divergence logic.
Key Features
1. Advanced Divergence Detection
The indicator automatically scans for Regular Bullish and Regular Bearish divergences between price action and momentum.
Bullish Divergence (Green "BULL" Label): Occurs when Price makes a Lower Low, but Momentum makes a Higher Low. This often precedes a bullish reversal.
Bearish Divergence (Red "BEAR" Label): Occurs when Price makes a Higher High, but Momentum makes a Lower High. This often precedes a bearish reversal.
2. Multi-Mode Squeeze Detection
The central dots on the zero line tell you the state of market volatility:
Red Dot (Squeeze ON): Volatility is compressed. The Bollinger Bands are inside the Keltner Channels. The market is "coiling" and preparing for an explosive move. Do not trade yet—wait for the fire.
Grey Dot (Squeeze OFF): The squeeze has "fired." Volatility is expanding, and price is moving.
Blue Dot (Wide Bands): Volatility is extremely high. The bands are exceptionally wide, often indicating the end of a trend or a period of high risk.
3. "Ghost" Histogram & Visual Depth
The momentum histogram features a "Ghost" fill (transparent background) to help visualize the volume of momentum without cluttering the screen.
Bright Green: Strong Bullish Momentum (Rising).
Dark Green: Weakening Bullish Momentum (Fading).
Bright Red: Strong Bearish Momentum (Falling).
Dark Red: Weakening Bearish Momentum (Recovering).
4. Dynamic Candle Coloring
Enabled by default, this feature colors the candles on your main chart to match the momentum histogram. This allows you to instantly gauge the trend strength without looking down at the oscillator pane.
5. Adaptive Calculation Engines
Unlike standard versions fixed to SMA, you can now select the moving average algorithm that drives the Bollinger Bands and Keltner Channels:
SMA: Standard, stable signals.
EMA: More reactive to recent price action.
WMA/RMA: Weighted options for specific strategies.
🛠 How to Operate
The "Squeeze & Fire" Strategy
Identify the Squeeze: Look for a series of Red Dots on the zero line. This indicates the market is resting and building energy.
The Trigger: Wait for the dot to turn Gray AND for the histogram to expand clearly in one direction.
Long Signal: Squeeze fires (Red -> Gray) + Histogram turns Green.
Short Signal: Squeeze fires (Red -> Gray) + Histogram turns Red.
The "Divergence Reversal" Strategy
Watch for "BULL" or "BEAR" labels appearing near the peaks or valleys of the histogram.
Confirmation: A divergence is a warning. Wait for the histogram color to change (e.g., from Bright Red to Dark Red) before entering a reversal trade.
⚙️ Settings Guide
Basis MA Type: Choose between SMA, EMA, WMA, or RMA to tune the sensitivity of the squeeze.
BB/KC Settings: Fully customizable Length and Multipliers to adapt to different assets (Crypto, Forex, or Stocks).
Pivot Lookback: Controls how strict the divergence detection is. Higher numbers = fewer, more significant signals.
Colour Main Chart Candles: Toggle this OFF if you prefer your standard candle colours.
Disclaimer
Trading involves a high level of risk and is not suitable for all investors. This indicator is a tool for technical analysis and does not constitute financial advice. Past performance is not indicative of future results. Always use proper risk management and do not trade based solely on a single indicator.
Mustang Algo - Momentum Trend Zone Backtest🐎 MUSTANG ALGO - Momentum Trend Zone Strategy
A complete trading system combining MACD momentum analysis with visual trend zones, full backtesting capabilities, and advanced risk management tools.
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🔹 OVERVIEW
Mustang Algo transforms traditional MACD analysis into a powerful visual trading system. It instantly identifies market bias through colored background zones and provides clear entry/exit signals with customizable stop loss and take profit management.
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🔹 KEY FEATURES
✅ Visual Trend Zones (Green = Bullish | Red = Bearish)
✅ Clear Buy/Sell Triangles on Chart
✅ Full Backtesting Engine
✅ Multiple Stop Loss Types
✅ Multiple Take Profit Types
✅ Trailing Stop Option
✅ Time Filter for Backtesting
✅ Real-time Info Panel
✅ Customizable Alerts
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🔹 HOW IT WORKS
The strategy uses a smoothed MACD system to detect trend changes:
- MACD Line (White): Fast EMA minus Slow EMA - shows raw momentum
- Signal Line (Yellow): EMA of MACD - shows smoothed trend direction
- Trend Zone: Changes when the smoothed signal line crosses zero
- Entry Signals: Generated at zone transitions
When the trend line crosses above zero → GREEN zone → BUY signal 🔺
When the trend line crosses below zero → RED zone → SELL signal 🔻
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🔹 STOP LOSS OPTIONS
🛑 Percentage: Fixed percentage from entry price
🛑 ATR-Based: Dynamic SL based on market volatility
🛑 Fixed Points: Set number of points/pips
🛑 Swing Low/High: Uses recent swing levels as stops
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🔹 TAKE PROFIT OPTIONS
🎯 Percentage: Fixed percentage target
🎯 ATR-Based: Dynamic TP based on volatility
🎯 Fixed Points: Set number of points/pips
🎯 Risk Reward: Automatic TP based on R:R ratio (e.g., 2:1, 3:1)
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🔹 TRAILING STOP
📈 Percentage-Based: Trail by a fixed percentage
📈 ATR-Based: Trail using ATR multiplier for dynamic adjustment
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🔹 SETTINGS
MACD Parameters:
- Fast Length (default: 12)
- Slow Length (default: 26)
- Signal Length (default: 9)
- Trend Smoothing (default: 5)
Risk Management:
- Enable/Disable Stop Loss
- Enable/Disable Take Profit
- Enable/Disable Trailing Stop
- Customize all SL/TP parameters
Visual Options:
- Show/Hide Buy/Sell Triangles
- Show/Hide SL/TP Lines
- Show/Hide Labels
Time Filter:
- Set Start Date for backtest
- Set End Date for backtest
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🔹 SIGNALS EXPLAINED
🟢 GREEN TRIANGLE (Below Bar):
Bullish zone detected - Consider LONG entry
🔴 RED TRIANGLE (Above Bar):
Bearish zone detected - Consider SHORT entry
🟢 GREEN BACKGROUND:
Currently in bullish trend zone
🔴 RED BACKGROUND:
Currently in bearish trend zone
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🔹 INFO PANEL
The real-time info panel (top right) displays:
- Current Trend Zone status
- MACD value
- Signal Line value
- Active SL Type
- Active TP Type
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🔹 ALERTS
Set up alerts for:
🔔 Buy Signals: "🐎 Mustang Algo: BUY Signal on {ticker} at {price}"
🔔 Sell Signals: "🐎 Mustang Algo: SELL Signal on {ticker} at {price}"
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🔹 BEST PRACTICES
1. Use higher timeframes (1H, 4H, Daily) for more reliable signals
2. Combine with price action and support/resistance levels
3. Adjust ATR multipliers based on asset volatility
4. Use Risk Reward ratio for consistent risk management
5. Backtest on your preferred asset before live trading
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🔹 RECOMMENDED TIMEFRAMES
⏱️ Scalping: 5M, 15M (more signals, more noise)
⏱️ Day Trading: 1H, 4H (balanced signals)
⏱️ Swing Trading: Daily, Weekly (fewer but stronger signals)
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🔹 MARKETS
Works on all markets:
📈 Forex
📈 Crypto
📈 Stocks
📈 Indices
📈 Commodities
📈 Futures
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🐎 RIDE THE TREND WITH MUSTANG ALGO!
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⚠️ DISCLAIMER
This indicator/strategy is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always use proper risk management, do your own research, and consider consulting a financial advisor before making any trading decisions. Use at your own risk.
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📝 VERSION HISTORY
v1.0 - Initial Release
- MACD-based trend detection
- Visual trend zones
- Multiple SL/TP options
- Full backtesting support
- Trailing stop functionality
- Time filter
- Info panel
- Alert system
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💬 FEEDBACK
If you find this strategy useful, please leave a comment or suggestion!
Your feedback helps improve future updates.
🐎 Happy Trading!
Bassi's Consolidation Breakout — ULTIMATE PRO + VPOverview
Bassi’s Consolidation Breakout — ULTIMATE PRO + VP is a professional-grade breakout detection system that combines price structure, volume confirmation, volatility compression, and custom volume profile logic.
The indicator automatically detects compressed consolidation zones, confirms breakouts with multi-layer filters, and plots full trade setups including:
Entry level
Stop-loss
TP1, TP2, TP3 (R:R based)
Trend filters + MTF EMA
Retest validation
Volume Profile confirmation (POC / VAH / VAL)
This is one of the most complete breakout frameworks for TradingView.
🔍 Core Concept
The script detects tight consolidation boxes based on:
Price range (% compression)
Lookback period
Minimum required bars
Breakout above/below the box
Once the consolidation ends, breakout signals fire only if they pass all filters.
This focuses your trading on high-probability breakouts only.
🔥 Key Features
1️⃣ Automated Consolidation Box Detection
Draws consolidation boxes dynamically
Identifies tight range compression
Supports advanced range logic for high accuracy
2️⃣ Smart Breakout + Retest Engine
Breakouts and breakdowns require:
Structure break
Minimum breakout expansion (0.15%)
Volume confirmation
Trend (200 EMA) confirmation
Optional retest validation
Optional Volume Profile filter
Each valid breakout prints a signal + full trade setup.
3️⃣ Custom Volume Profile Engine
Fast and lightweight custom-built VP that calculates:
POC (Point of Control)
VAH (Value Area High)
VAL (Value Area Low)
These levels can optionally be used to filter weak breakouts.
4️⃣ Multi-Timeframe Trend Filter
Uses 200 EMA from any selected higher timeframe
Helps avoid counter-trend fakeouts
Fully optional
5️⃣ Automatic Trade Setup Projection
Each breakout generates:
Stop-loss (ATR × multiplier)
TP1 (R:R)
TP2 (R:R)
TP3 (optional)
Clean signal labels
Only keeps the last 2 signals to maintain clarity
6️⃣ Alerts Included
Alerts fire instantly when a valid breakout occurs:
“Bassi LONG + VP”
“Bassi SHORT + VP”
Alerts include ticker + entry price.
📘 Usage Guide & Trading Rules
✔ Recommended Trading Steps
1. Wait for a confirmed consolidation box
Box must be narrow
Must meet minimum bar requirement
2. Wait for a confirmed breakout signal
Signal requires:
Breakout above/below box
Volume confirmation
Trend & MTF confirmation if enabled
Optional retest
Optional VP filter (close outside VAH/VAL)
3. Follow the projected setup
The script prints:
Entry
SL
TP1 / TP2 / TP3
Target lines extend automatically.
📖 How to Use the Script (Trading Rules)
1️⃣ Long Entry Rules
Enter Long when:
Price breaks above trend confirmation level
Momentum signal turns bullish
Candle closes above trigger line
Volatility filter is satisfied
Exit Long:
TP1/TP2/TP3 levels
Reversal signal
Trailing stop hit
2️⃣ Short Entry Rules
Enter Short when:
Price breaks below trend confirmation level
Momentum signal turns bearish
Candle closes below trigger line
Volatility filter is satisfied
Exit Short:
TP1/TP2/TP3 levels
Trend reversal
Trailing stop hit
✔ Recommended Markets
Crypto
Forex
Indices
Futures
Stocks
Works on all timeframes from 1-minute to daily.
✔ Best Practice
Avoid taking signals against HTF trend
Prefer signals that break away from VAH/VAL
Use TP1 to secure partial profits
Move SL to breakeven after TP1 if desired
Always follow personal risk management
👤 Author
Created by: Mahdi Bassi
Professional trader & systems designer
Focused on structural, volume-based and volatility-based strategies.
⚠️ Disclaimer
This script is for educational purposes only.
No indicator can guarantee profits.
Always use proper risk management and trade responsibly.
LETHINH-Swing pa,smc🟦 📌 Title (English)
Swing High / Swing Low – 3-Candle Fractal (5-Bar Pivot) | Auto Alerts
⸻
🟩 📌 Short Description
A clean and reliable swing high / swing low detector based on the classic 3-candle (5-bar) fractal pivot. Automatically marks SH/SL and triggers alerts when a swing is confirmed. No repainting after confirmation.
⸻
🟧 📌 Full Description (for TradingView Publishing)
🔶 Swing High / Swing Low – 3-Candle Fractal (5-Bar Pivot)
This indicator identifies Swing Highs (SH) and Swing Lows (SL) using the classic 3-candle fractal pattern, also known as the 5-bar pivot.
It marks swing points only after full confirmation, making it highly reliable and suitable for structure-based trading.
⸻
🔶 📍 How It Works
A swing is confirmed when the center candle is higher (or lower) than the two candles on each side:
Swing High (SH)
high > high , high , high
Swing Low (SL)
low < low , low , low
The confirmation occurs after 2 right candles close, so the indicator does not repaint once a swing is identified.
⸻
🔶 📍 Key Features
• Detects clean and accurate swings
• Uses pure price action — no indicators, no lag
• Marks swing high (SH) and swing low (SL) directly on the chart
• Non-repainting after confirmation
• Works on all timeframes and all markets
• Extremely lightweight and fast
• Includes alert conditions for both SH and SL
Perfect for traders using:
• Market Structure (BOS / CHoCH)
• Order Blocks (OB)
• Smart Money Concepts (SMC)
• Liquidity hunts
• Wyckoff
• Support/Resistance
• Price Action entries
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🔶 📍 Why This Indicator Is Useful
Swing points are the foundation of market structure.
Accurately detecting them helps traders:
• Identify trend shifts
• Spot BOS / CHoCH correctly
• Find key zones (OB, liquidity levels, supply/demand)
• Time entries more precisely
• Avoid fake structure breaks
This indicator ensures swings are plotted only when fully confirmed, reducing noise and confusion.
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🔶 📍 Alerts
You can create alerts for both conditions:
• Swing High Confirmed
• Swing Low Confirmed
Recommended settings:
• Once per bar close
• Open-ended alert
With alerts enabled, TradingView will automatically notify you every time a new swing forms.
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🔶 📍 No Repainting
Once a swing is confirmed and plotted, it will not change or disappear.
This makes the indicator reliable for real-time alerts and backtesting.
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🔶 📍 Pine Script (v5)
Paste your indicator code here if you want it visible.
Or leave the code hidden if you are publishing as protected.
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🔶 📍 Final Notes
• This indicator focuses on confirmation, not prediction
• It is designed for clean structure reading
• All markets supported: Forex, Crypto, Stocks, Indexes, Commodities
• Suitable for scalping, intraday, swing, and even higher-timeframe trading
If you find this tool helpful, feel free to give it a like and add it to your favorites ❤️
Your support helps me share more tools with the community!
Absorption PROOF - Absorption PRO (Clean & Smart)Ultra-clean, high-precision absorption reversal strategy.Detects institutional buying/selling pressure using volume-weighted delta proxy and VWAP deviation zones.Smart RSI + early-session range filter automatically separates valid range-bound reversals from trend exhaustion.Green/Red circles → High-probability entries (fully tradable)
Small crosses + colored zones → Rejected signals (avoid)
Blue dotted lines → Session range ±100% deviation levels (optional)
By default: only signals and rejection zones displayed — zero clutter.Minimalist, professional, and deadly accurate on futures & forex (1m–15m).Less noise. Better trades.
HD Trades📊 ICT Confluence Toolkit (FVG, OB, SMT)
This All-in-One indicator is designed for Smart Money Concepts (SMC) traders, providing visual confirmation and signaling for three critical Inner Circle Trader (ICT) tools directly on your chart: Fair Value Gaps (FVG), Order Blocks (OB), and Smart Money Technique (SMT) Divergence.
It eliminates the need to load multiple indicators, streamlining your analysis for high-probability setups.
🔑 Key Features
1. Fair Value Gaps (FVG)
Automatic Detection: Instantly highlights bullish (buy-side) and bearish (sell-side) imbalances using the standard three-candle pattern.
Real-Time Mitigation: Gaps are drawn until price trades into the FVG zone, at which point the indicator automatically "mitigates" and removes the box, ensuring your chart stays clean.
2. Order Blocks (OB)
Impulse-Based Logic: Identifies valid Order Blocks (the last opposing candle) confirmed by a strong, structure-breaking impulse move, quantified using an Average True Range (ATR) multiplier for dynamic sensitivity.
Mitigation Tracking: Bullish OBs are tracked until broken below the low, and Bearish OBs until broken above the high, distinguishing between active supply/demand zones.
3. SMT Divergence (Smart Money Technique)
Multi-Asset Comparison: Utilizes the Pine Script request.security() function to compare the swing structure of the current chart against a correlated asset (e.g., EURUSD vs. GBPUSD, or ES vs. NQ).
Signal Labels: Plots clear 🐂 SMT (Bullish) or 🐻 SMT (Bearish) labels directly on the chart when a divergence in market extremes is detected, signaling a potential reversal or continuation based on internal market weakness.
⚙️ Customization
All three components are toggleable and feature customizable colors and lookback periods, allowing you to fine-tune the indicator to your specific trading strategy and preferred timeframes.
Crucial Setup: For SMT Divergence to function, you must enter a correlated symbol (e.g., NQ1!, ES1!, or a related Forex pair) in the indicator settings.
Dimensional Resonance ProtocolDimensional Resonance Protocol
🌀 CORE INNOVATION: PHASE SPACE RECONSTRUCTION & EMERGENCE DETECTION
The Dimensional Resonance Protocol represents a paradigm shift from traditional technical analysis to complexity science. Rather than measuring price levels or indicator crossovers, DRP reconstructs the hidden attractor governing market dynamics using Takens' embedding theorem, then detects emergence —the rare moments when multiple dimensions of market behavior spontaneously synchronize into coherent, predictable states.
The Complexity Hypothesis:
Markets are not simple oscillators or random walks—they are complex adaptive systems existing in high-dimensional phase space. Traditional indicators see only shadows (one-dimensional projections) of this higher-dimensional reality. DRP reconstructs the full phase space using time-delay embedding, revealing the true structure of market dynamics.
Takens' Embedding Theorem (1981):
A profound mathematical result from dynamical systems theory: Given a time series from a complex system, we can reconstruct its full phase space by creating delayed copies of the observation.
Mathematical Foundation:
From single observable x(t), create embedding vectors:
X(t) =
Where:
• d = Embedding dimension (default 5)
• τ = Time delay (default 3 bars)
• x(t) = Price or return at time t
Key Insight: If d ≥ 2D+1 (where D is the true attractor dimension), this embedding is topologically equivalent to the actual system dynamics. We've reconstructed the hidden attractor from a single price series.
Why This Matters:
Markets appear random in one dimension (price chart). But in reconstructed phase space, structure emerges—attractors, limit cycles, strange attractors. When we identify these structures, we can detect:
• Stable regions : Predictable behavior (trade opportunities)
• Chaotic regions : Unpredictable behavior (avoid trading)
• Critical transitions : Phase changes between regimes
Phase Space Magnitude Calculation:
phase_magnitude = sqrt(Σ ² for i = 0 to d-1)
This measures the "energy" or "momentum" of the market trajectory through phase space. High magnitude = strong directional move. Low magnitude = consolidation.
📊 RECURRENCE QUANTIFICATION ANALYSIS (RQA)
Once phase space is reconstructed, we analyze its recurrence structure —when does the system return near previous states?
Recurrence Plot Foundation:
A recurrence occurs when two phase space points are closer than threshold ε:
R(i,j) = 1 if ||X(i) - X(j)|| < ε, else 0
This creates a binary matrix showing when the system revisits similar states.
Key RQA Metrics:
1. Recurrence Rate (RR):
RR = (Number of recurrent points) / (Total possible pairs)
• RR near 0: System never repeats (highly stochastic)
• RR = 0.1-0.3: Moderate recurrence (tradeable patterns)
• RR > 0.5: System stuck in attractor (ranging market)
• RR near 1: System frozen (no dynamics)
Interpretation: Moderate recurrence is optimal —patterns exist but market isn't stuck.
2. Determinism (DET):
Measures what fraction of recurrences form diagonal structures in the recurrence plot. Diagonals indicate deterministic evolution (trajectory follows predictable paths).
DET = (Recurrence points on diagonals) / (Total recurrence points)
• DET < 0.3: Random dynamics
• DET = 0.3-0.7: Moderate determinism (patterns with noise)
• DET > 0.7: Strong determinism (technical patterns reliable)
Trading Implication: Signals are prioritized when DET > 0.3 (deterministic state) and RR is moderate (not stuck).
Threshold Selection (ε):
Default ε = 0.10 × std_dev means two states are "recurrent" if within 10% of a standard deviation. This is tight enough to require genuine similarity but loose enough to find patterns.
🔬 PERMUTATION ENTROPY: COMPLEXITY MEASUREMENT
Permutation entropy measures the complexity of a time series by analyzing the distribution of ordinal patterns.
Algorithm (Bandt & Pompe, 2002):
1. Take overlapping windows of length n (default n=4)
2. For each window, record the rank order pattern
Example: → pattern (ranks from lowest to highest)
3. Count frequency of each possible pattern
4. Calculate Shannon entropy of pattern distribution
Mathematical Formula:
H_perm = -Σ p(π) · ln(p(π))
Where π ranges over all n! possible permutations, p(π) is the probability of pattern π.
Normalized to :
H_norm = H_perm / ln(n!)
Interpretation:
• H < 0.3 : Very ordered, crystalline structure (strong trending)
• H = 0.3-0.5 : Ordered regime (tradeable with patterns)
• H = 0.5-0.7 : Moderate complexity (mixed conditions)
• H = 0.7-0.85 : Complex dynamics (challenging to trade)
• H > 0.85 : Maximum entropy (nearly random, avoid)
Entropy Regime Classification:
DRP classifies markets into five entropy regimes:
• CRYSTALLINE (H < 0.3): Maximum order, persistent trends
• ORDERED (H < 0.5): Clear patterns, momentum strategies work
• MODERATE (H < 0.7): Mixed dynamics, adaptive required
• COMPLEX (H < 0.85): High entropy, mean reversion better
• CHAOTIC (H ≥ 0.85): Near-random, minimize trading
Why Permutation Entropy?
Unlike traditional entropy methods requiring binning continuous data (losing information), permutation entropy:
• Works directly on time series
• Robust to monotonic transformations
• Computationally efficient
• Captures temporal structure, not just distribution
• Immune to outliers (uses ranks, not values)
⚡ LYAPUNOV EXPONENT: CHAOS vs STABILITY
The Lyapunov exponent λ measures sensitivity to initial conditions —the hallmark of chaos.
Physical Meaning:
Two trajectories starting infinitely close will diverge at exponential rate e^(λt):
Distance(t) ≈ Distance(0) × e^(λt)
Interpretation:
• λ > 0 : Positive Lyapunov exponent = CHAOS
- Small errors grow exponentially
- Long-term prediction impossible
- System is sensitive, unpredictable
- AVOID TRADING
• λ ≈ 0 : Near-zero = CRITICAL STATE
- Edge of chaos
- Transition zone between order and disorder
- Moderate predictability
- PROCEED WITH CAUTION
• λ < 0 : Negative Lyapunov exponent = STABLE
- Small errors decay
- Trajectories converge
- System is predictable
- OPTIMAL FOR TRADING
Estimation Method:
DRP estimates λ by tracking how quickly nearby states diverge over a rolling window (default 20 bars):
For each bar i in window:
δ₀ = |x - x | (initial separation)
δ₁ = |x - x | (previous separation)
if δ₁ > 0:
ratio = δ₀ / δ₁
log_ratios += ln(ratio)
λ ≈ average(log_ratios)
Stability Classification:
• STABLE : λ < 0 (negative growth rate)
• CRITICAL : |λ| < 0.1 (near neutral)
• CHAOTIC : λ > 0.2 (strong positive growth)
Signal Filtering:
By default, NEXUS requires λ < 0 (stable regime) for signal confirmation. This filters out trades during chaotic periods when technical patterns break down.
📐 HIGUCHI FRACTAL DIMENSION
Fractal dimension measures self-similarity and complexity of the price trajectory.
Theoretical Background:
A curve's fractal dimension D ranges from 1 (smooth line) to 2 (space-filling curve):
• D ≈ 1.0 : Smooth, persistent trending
• D ≈ 1.5 : Random walk (Brownian motion)
• D ≈ 2.0 : Highly irregular, space-filling
Higuchi Method (1988):
For a time series of length N, construct k different curves by taking every k-th point:
L(k) = (1/k) × Σ|x - x | × (N-1)/(⌊(N-m)/k⌋ × k)
For different values of k (1 to k_max), calculate L(k). The fractal dimension is the slope of log(L(k)) vs log(1/k):
D = slope of log(L) vs log(1/k)
Market Interpretation:
• D < 1.35 : Strong trending, persistent (Hurst > 0.5)
- TRENDING regime
- Momentum strategies favored
- Breakouts likely to continue
• D = 1.35-1.45 : Moderate persistence
- PERSISTENT regime
- Trend-following with caution
- Patterns have meaning
• D = 1.45-1.55 : Random walk territory
- RANDOM regime
- Efficiency hypothesis holds
- Technical analysis least reliable
• D = 1.55-1.65 : Anti-persistent (mean-reverting)
- ANTI-PERSISTENT regime
- Oscillator strategies work
- Overbought/oversold meaningful
• D > 1.65 : Highly complex, choppy
- COMPLEX regime
- Avoid directional bets
- Wait for regime change
Signal Filtering:
Resonance signals (secondary signal type) require D < 1.5, indicating trending or persistent dynamics where momentum has meaning.
🔗 TRANSFER ENTROPY: CAUSAL INFORMATION FLOW
Transfer entropy measures directed causal influence between time series—not just correlation, but actual information transfer.
Schreiber's Definition (2000):
Transfer entropy from X to Y measures how much knowing X's past reduces uncertainty about Y's future:
TE(X→Y) = H(Y_future | Y_past) - H(Y_future | Y_past, X_past)
Where H is Shannon entropy.
Key Properties:
1. Directional : TE(X→Y) ≠ TE(Y→X) in general
2. Non-linear : Detects complex causal relationships
3. Model-free : No assumptions about functional form
4. Lag-independent : Captures delayed causal effects
Three Causal Flows Measured:
1. Volume → Price (TE_V→P):
Measures how much volume patterns predict price changes.
• TE > 0 : Volume provides predictive information about price
- Institutional participation driving moves
- Volume confirms direction
- High reliability
• TE ≈ 0 : No causal flow (weak volume/price relationship)
- Volume uninformative
- Caution on signals
• TE < 0 (rare): Suggests price leading volume
- Potentially manipulated or thin market
2. Volatility → Momentum (TE_σ→M):
Does volatility expansion predict momentum changes?
• Positive TE : Volatility precedes momentum shifts
- Breakout dynamics
- Regime transitions
3. Structure → Price (TE_S→P):
Do support/resistance patterns causally influence price?
• Positive TE : Structural levels have causal impact
- Technical levels matter
- Market respects structure
Net Causal Flow:
Net_Flow = TE_V→P + 0.5·TE_σ→M + TE_S→P
• Net > +0.1 : Bullish causal structure
• Net < -0.1 : Bearish causal structure
• |Net| < 0.1 : Neutral/unclear causation
Causal Gate:
For signal confirmation, NEXUS requires:
• Buy signals : TE_V→P > 0 AND Net_Flow > 0.05
• Sell signals : TE_V→P > 0 AND Net_Flow < -0.05
This ensures volume is actually driving price (causal support exists), not just correlated noise.
Implementation Note:
Computing true transfer entropy requires discretizing continuous data into bins (default 6 bins) and estimating joint probability distributions. NEXUS uses a hybrid approach combining TE theory with autocorrelation structure and lagged cross-correlation to approximate information transfer in computationally efficient manner.
🌊 HILBERT PHASE COHERENCE
Phase coherence measures synchronization across market dimensions using Hilbert transform analysis.
Hilbert Transform Theory:
For a signal x(t), the Hilbert transform H (t) creates an analytic signal:
z(t) = x(t) + i·H (t) = A(t)·e^(iφ(t))
Where:
• A(t) = Instantaneous amplitude
• φ(t) = Instantaneous phase
Instantaneous Phase:
φ(t) = arctan(H (t) / x(t))
The phase represents where the signal is in its natural cycle—analogous to position on a unit circle.
Four Dimensions Analyzed:
1. Momentum Phase : Phase of price rate-of-change
2. Volume Phase : Phase of volume intensity
3. Volatility Phase : Phase of ATR cycles
4. Structure Phase : Phase of position within range
Phase Locking Value (PLV):
For two signals with phases φ₁(t) and φ₂(t), PLV measures phase synchronization:
PLV = |⟨e^(i(φ₁(t) - φ₂(t)))⟩|
Where ⟨·⟩ is time average over window.
Interpretation:
• PLV = 0 : Completely random phase relationship (no synchronization)
• PLV = 0.5 : Moderate phase locking
• PLV = 1 : Perfect synchronization (phases locked)
Pairwise PLV Calculations:
• PLV_momentum-volume : Are momentum and volume cycles synchronized?
• PLV_momentum-structure : Are momentum cycles aligned with structure?
• PLV_volume-structure : Are volume and structural patterns in phase?
Overall Phase Coherence:
Coherence = (PLV_mom-vol + PLV_mom-struct + PLV_vol-struct) / 3
Signal Confirmation:
Emergence signals require coherence ≥ threshold (default 0.70):
• Below 0.70: Dimensions not synchronized, no coherent market state
• Above 0.70: Dimensions in phase, coherent behavior emerging
Coherence Direction:
The summed phase angles indicate whether synchronized dimensions point bullish or bearish:
Direction = sin(φ_momentum) + 0.5·sin(φ_volume) + 0.5·sin(φ_structure)
• Direction > 0 : Phases pointing upward (bullish synchronization)
• Direction < 0 : Phases pointing downward (bearish synchronization)
🌀 EMERGENCE SCORE: MULTI-DIMENSIONAL ALIGNMENT
The emergence score aggregates all complexity metrics into a single 0-1 value representing market coherence.
Eight Components with Weights:
1. Phase Coherence (20%):
Direct contribution: coherence × 0.20
Measures dimensional synchronization.
2. Entropy Regime (15%):
Contribution: (0.6 - H_perm) / 0.6 × 0.15 if H < 0.6, else 0
Rewards low entropy (ordered, predictable states).
3. Lyapunov Stability (12%):
• λ < 0 (stable): +0.12
• |λ| < 0.1 (critical): +0.08
• λ > 0.2 (chaotic): +0.0
Requires stable, predictable dynamics.
4. Fractal Dimension Trending (12%):
Contribution: (1.45 - D) / 0.45 × 0.12 if D < 1.45, else 0
Rewards trending fractal structure (D < 1.45).
5. Dimensional Resonance (12%):
Contribution: |dimensional_resonance| × 0.12
Measures alignment across momentum, volume, structure, volatility dimensions.
6. Causal Flow Strength (9%):
Contribution: |net_causal_flow| × 0.09
Rewards strong causal relationships.
7. Phase Space Embedding (10%):
Contribution: min(|phase_magnitude_norm|, 3.0) / 3.0 × 0.10 if |magnitude| > 1.0
Rewards strong trajectory in reconstructed phase space.
8. Recurrence Quality (10%):
Contribution: determinism × 0.10 if DET > 0.3 AND 0.1 < RR < 0.8
Rewards deterministic patterns with moderate recurrence.
Total Emergence Score:
E = Σ(components) ∈
Capped at 1.0 maximum.
Emergence Direction:
Separate calculation determining bullish vs bearish:
• Dimensional resonance sign
• Net causal flow sign
• Phase magnitude correlation with momentum
Signal Threshold:
Default emergence_threshold = 0.75 means 75% of maximum possible emergence score required to trigger signals.
Why Emergence Matters:
Traditional indicators measure single dimensions. Emergence detects self-organization —when multiple independent dimensions spontaneously align. This is the market equivalent of a phase transition in physics, where microscopic chaos gives way to macroscopic order.
These are the highest-probability trade opportunities because the entire system is resonating in the same direction.
🎯 SIGNAL GENERATION: EMERGENCE vs RESONANCE
DRP generates two tiers of signals with different requirements:
TIER 1: EMERGENCE SIGNALS (Primary)
Requirements:
1. Emergence score ≥ threshold (default 0.75)
2. Phase coherence ≥ threshold (default 0.70)
3. Emergence direction > 0.2 (bullish) or < -0.2 (bearish)
4. Causal gate passed (if enabled): TE_V→P > 0 and net_flow confirms direction
5. Stability zone (if enabled): λ < 0 or |λ| < 0.1
6. Price confirmation: Close > open (bulls) or close < open (bears)
7. Cooldown satisfied: bars_since_signal ≥ cooldown_period
EMERGENCE BUY:
• All above conditions met with bullish direction
• Market has achieved coherent bullish state
• Multiple dimensions synchronized upward
EMERGENCE SELL:
• All above conditions met with bearish direction
• Market has achieved coherent bearish state
• Multiple dimensions synchronized downward
Premium Emergence:
When signal_quality (emergence_score × phase_coherence) > 0.7:
• Displayed as ★ star symbol
• Highest conviction trades
• Maximum dimensional alignment
Standard Emergence:
When signal_quality 0.5-0.7:
• Displayed as ◆ diamond symbol
• Strong signals but not perfect alignment
TIER 2: RESONANCE SIGNALS (Secondary)
Requirements:
1. Dimensional resonance > +0.6 (bullish) or < -0.6 (bearish)
2. Fractal dimension < 1.5 (trending/persistent regime)
3. Price confirmation matches direction
4. NOT in chaotic regime (λ < 0.2)
5. Cooldown satisfied
6. NO emergence signal firing (resonance is fallback)
RESONANCE BUY:
• Dimensional alignment without full emergence
• Trending fractal structure
• Moderate conviction
RESONANCE SELL:
• Dimensional alignment without full emergence
• Bearish resonance with trending structure
• Moderate conviction
Displayed as small ▲/▼ triangles with transparency.
Signal Hierarchy:
IF emergence conditions met:
Fire EMERGENCE signal (★ or ◆)
ELSE IF resonance conditions met:
Fire RESONANCE signal (▲ or ▼)
ELSE:
No signal
Cooldown System:
After any signal fires, cooldown_period (default 5 bars) must elapse before next signal. This prevents signal clustering during persistent conditions.
Cooldown tracks using bar_index:
bars_since_signal = current_bar_index - last_signal_bar_index
cooldown_ok = bars_since_signal >= cooldown_period
🎨 VISUAL SYSTEM: MULTI-LAYER COMPLEXITY
DRP provides rich visual feedback across four distinct layers:
LAYER 1: COHERENCE FIELD (Background)
Colored background intensity based on phase coherence:
• No background : Coherence < 0.5 (incoherent state)
• Faint glow : Coherence 0.5-0.7 (building coherence)
• Stronger glow : Coherence > 0.7 (coherent state)
Color:
• Cyan/teal: Bullish coherence (direction > 0)
• Red/magenta: Bearish coherence (direction < 0)
• Blue: Neutral coherence (direction ≈ 0)
Transparency: 98 minus (coherence_intensity × 10), so higher coherence = more visible.
LAYER 2: STABILITY/CHAOS ZONES
Background color indicating Lyapunov regime:
• Green tint (95% transparent): λ < 0, STABLE zone
- Safe to trade
- Patterns meaningful
• Gold tint (90% transparent): |λ| < 0.1, CRITICAL zone
- Edge of chaos
- Moderate risk
• Red tint (85% transparent): λ > 0.2, CHAOTIC zone
- Avoid trading
- Unpredictable behavior
LAYER 3: DIMENSIONAL RIBBONS
Three EMAs representing dimensional structure:
• Fast ribbon : EMA(8) in cyan/teal (fast dynamics)
• Medium ribbon : EMA(21) in blue (intermediate)
• Slow ribbon : EMA(55) in red/magenta (slow dynamics)
Provides visual reference for multi-scale structure without cluttering with raw phase space data.
LAYER 4: CAUSAL FLOW LINE
A thicker line plotted at EMA(13) colored by net causal flow:
• Cyan/teal : Net_flow > +0.1 (bullish causation)
• Red/magenta : Net_flow < -0.1 (bearish causation)
• Gray : |Net_flow| < 0.1 (neutral causation)
Shows real-time direction of information flow.
EMERGENCE FLASH:
Strong background flash when emergence signals fire:
• Cyan flash for emergence buy
• Red flash for emergence sell
• 80% transparency for visibility without obscuring price
📊 COMPREHENSIVE DASHBOARD
Real-time monitoring of all complexity metrics:
HEADER:
• 🌀 DRP branding with gold accent
CORE METRICS:
EMERGENCE:
• Progress bar (█ filled, ░ empty) showing 0-100%
• Percentage value
• Direction arrow (↗ bull, ↘ bear, → neutral)
• Color-coded: Green/gold if active, gray if low
COHERENCE:
• Progress bar showing phase locking value
• Percentage value
• Checkmark ✓ if ≥ threshold, circle ○ if below
• Color-coded: Cyan if coherent, gray if not
COMPLEXITY SECTION:
ENTROPY:
• Regime name (CRYSTALLINE/ORDERED/MODERATE/COMPLEX/CHAOTIC)
• Numerical value (0.00-1.00)
• Color: Green (ordered), gold (moderate), red (chaotic)
LYAPUNOV:
• State (STABLE/CRITICAL/CHAOTIC)
• Numerical value (typically -0.5 to +0.5)
• Status indicator: ● stable, ◐ critical, ○ chaotic
• Color-coded by state
FRACTAL:
• Regime (TRENDING/PERSISTENT/RANDOM/ANTI-PERSIST/COMPLEX)
• Dimension value (1.0-2.0)
• Color: Cyan (trending), gold (random), red (complex)
PHASE-SPACE:
• State (STRONG/ACTIVE/QUIET)
• Normalized magnitude value
• Parameters display: d=5 τ=3
CAUSAL SECTION:
CAUSAL:
• Direction (BULL/BEAR/NEUTRAL)
• Net flow value
• Flow indicator: →P (to price), P← (from price), ○ (neutral)
V→P:
• Volume-to-price transfer entropy
• Small display showing specific TE value
DIMENSIONAL SECTION:
RESONANCE:
• Progress bar of absolute resonance
• Signed value (-1 to +1)
• Color-coded by direction
RECURRENCE:
• Recurrence rate percentage
• Determinism percentage display
• Color-coded: Green if high quality
STATE SECTION:
STATE:
• Current mode: EMERGENCE / RESONANCE / CHAOS / SCANNING
• Icon: 🚀 (emergence buy), 💫 (emergence sell), ▲ (resonance buy), ▼ (resonance sell), ⚠ (chaos), ◎ (scanning)
• Color-coded by state
SIGNALS:
• E: count of emergence signals
• R: count of resonance signals
⚙️ KEY PARAMETERS EXPLAINED
Phase Space Configuration:
• Embedding Dimension (3-10, default 5): Reconstruction dimension
- Low (3-4): Simple dynamics, faster computation
- Medium (5-6): Balanced (recommended)
- High (7-10): Complex dynamics, more data needed
- Rule: d ≥ 2D+1 where D is true dimension
• Time Delay (τ) (1-10, default 3): Embedding lag
- Fast markets: 1-2
- Normal: 3-4
- Slow markets: 5-10
- Optimal: First minimum of mutual information (often 2-4)
• Recurrence Threshold (ε) (0.01-0.5, default 0.10): Phase space proximity
- Tight (0.01-0.05): Very similar states only
- Medium (0.08-0.15): Balanced
- Loose (0.20-0.50): Liberal matching
Entropy & Complexity:
• Permutation Order (3-7, default 4): Pattern length
- Low (3): 6 patterns, fast but coarse
- Medium (4-5): 24-120 patterns, balanced
- High (6-7): 720-5040 patterns, fine-grained
- Note: Requires window >> order! for stability
• Entropy Window (15-100, default 30): Lookback for entropy
- Short (15-25): Responsive to changes
- Medium (30-50): Stable measure
- Long (60-100): Very smooth, slow adaptation
• Lyapunov Window (10-50, default 20): Stability estimation window
- Short (10-15): Fast chaos detection
- Medium (20-30): Balanced
- Long (40-50): Stable λ estimate
Causal Inference:
• Enable Transfer Entropy (default ON): Causality analysis
- Keep ON for full system functionality
• TE History Length (2-15, default 5): Causal lookback
- Short (2-4): Quick causal detection
- Medium (5-8): Balanced
- Long (10-15): Deep causal analysis
• TE Discretization Bins (4-12, default 6): Binning granularity
- Few (4-5): Coarse, robust, needs less data
- Medium (6-8): Balanced
- Many (9-12): Fine-grained, needs more data
Phase Coherence:
• Enable Phase Coherence (default ON): Synchronization detection
- Keep ON for emergence detection
• Coherence Threshold (0.3-0.95, default 0.70): PLV requirement
- Loose (0.3-0.5): More signals, lower quality
- Balanced (0.6-0.75): Recommended
- Strict (0.8-0.95): Rare, highest quality
• Hilbert Smoothing (3-20, default 8): Phase smoothing
- Low (3-5): Responsive, noisier
- Medium (6-10): Balanced
- High (12-20): Smooth, more lag
Fractal Analysis:
• Enable Fractal Dimension (default ON): Complexity measurement
- Keep ON for full analysis
• Fractal K-max (4-20, default 8): Scaling range
- Low (4-6): Faster, less accurate
- Medium (7-10): Balanced
- High (12-20): Accurate, slower
• Fractal Window (30-200, default 50): FD lookback
- Short (30-50): Responsive FD
- Medium (60-100): Stable FD
- Long (120-200): Very smooth FD
Emergence Detection:
• Emergence Threshold (0.5-0.95, default 0.75): Minimum coherence
- Sensitive (0.5-0.65): More signals
- Balanced (0.7-0.8): Recommended
- Strict (0.85-0.95): Rare signals
• Require Causal Gate (default ON): TE confirmation
- ON: Only signal when causality confirms
- OFF: Allow signals without causal support
• Require Stability Zone (default ON): Lyapunov filter
- ON: Only signal when λ < 0 (stable) or |λ| < 0.1 (critical)
- OFF: Allow signals in chaotic regimes (risky)
• Signal Cooldown (1-50, default 5): Minimum bars between signals
- Fast (1-3): Rapid signal generation
- Normal (4-8): Balanced
- Slow (10-20): Very selective
- Ultra (25-50): Only major regime changes
Signal Configuration:
• Momentum Period (5-50, default 14): ROC calculation
• Structure Lookback (10-100, default 20): Support/resistance range
• Volatility Period (5-50, default 14): ATR calculation
• Volume MA Period (10-50, default 20): Volume normalization
Visual Settings:
• Customizable color scheme for all elements
• Toggle visibility for each layer independently
• Dashboard position (4 corners) and size (tiny/small/normal)
🎓 PROFESSIONAL USAGE PROTOCOL
Phase 1: System Familiarization (Week 1)
Goal: Understand complexity metrics and dashboard interpretation
Setup:
• Enable all features with default parameters
• Watch dashboard metrics for 500+ bars
• Do NOT trade yet
Actions:
• Observe emergence score patterns relative to price moves
• Note coherence threshold crossings and subsequent price action
• Watch entropy regime transitions (ORDERED → COMPLEX → CHAOTIC)
• Correlate Lyapunov state with signal reliability
• Track which signals appear (emergence vs resonance frequency)
Key Learning:
• When does emergence peak? (usually before major moves)
• What entropy regime produces best signals? (typically ORDERED or MODERATE)
• Does your instrument respect stability zones? (stable λ = better signals)
Phase 2: Parameter Optimization (Week 2)
Goal: Tune system to instrument characteristics
Requirements:
• Understand basic dashboard metrics from Phase 1
• Have 1000+ bars of history loaded
Embedding Dimension & Time Delay:
• If signals very rare: Try lower dimension (d=3-4) or shorter delay (τ=2)
• If signals too frequent: Try higher dimension (d=6-7) or longer delay (τ=4-5)
• Sweet spot: 4-8 emergence signals per 100 bars
Coherence Threshold:
• Check dashboard: What's typical coherence range?
• If coherence rarely exceeds 0.70: Lower threshold to 0.60-0.65
• If coherence often >0.80: Can raise threshold to 0.75-0.80
• Goal: Signals fire during top 20-30% of coherence values
Emergence Threshold:
• If too few signals: Lower to 0.65-0.70
• If too many signals: Raise to 0.80-0.85
• Balance with coherence threshold—both must be met
Phase 3: Signal Quality Assessment (Weeks 3-4)
Goal: Verify signals have edge via paper trading
Requirements:
• Parameters optimized per Phase 2
• 50+ signals generated
• Detailed notes on each signal
Paper Trading Protocol:
• Take EVERY emergence signal (★ and ◆)
• Optional: Take resonance signals (▲/▼) separately to compare
• Use simple exit: 2R target, 1R stop (ATR-based)
• Track: Win rate, average R-multiple, maximum consecutive losses
Quality Metrics:
• Premium emergence (★) : Should achieve >55% WR
• Standard emergence (◆) : Should achieve >50% WR
• Resonance signals : Should achieve >45% WR
• Overall : If <45% WR, system not suitable for this instrument/timeframe
Red Flags:
• Win rate <40%: Wrong instrument or parameters need major adjustment
• Max consecutive losses >10: System not working in current regime
• Profit factor <1.0: No edge despite complexity analysis
Phase 4: Regime Awareness (Week 5)
Goal: Understand which market conditions produce best signals
Analysis:
• Review Phase 3 trades, segment by:
- Entropy regime at signal (ORDERED vs COMPLEX vs CHAOTIC)
- Lyapunov state (STABLE vs CRITICAL vs CHAOTIC)
- Fractal regime (TRENDING vs RANDOM vs COMPLEX)
Findings (typical patterns):
• Best signals: ORDERED entropy + STABLE lyapunov + TRENDING fractal
• Moderate signals: MODERATE entropy + CRITICAL lyapunov + PERSISTENT fractal
• Avoid: CHAOTIC entropy or CHAOTIC lyapunov (require_stability filter should block these)
Optimization:
• If COMPLEX/CHAOTIC entropy produces losing trades: Consider requiring H < 0.70
• If fractal RANDOM/COMPLEX produces losses: Already filtered by resonance logic
• If certain TE patterns (very negative net_flow) produce losses: Adjust causal_gate logic
Phase 5: Micro Live Testing (Weeks 6-8)
Goal: Validate with minimal capital at risk
Requirements:
• Paper trading shows: WR >48%, PF >1.2, max DD <20%
• Understand complexity metrics intuitively
• Know which regimes work best from Phase 4
Setup:
• 10-20% of intended position size
• Focus on premium emergence signals (★) only initially
• Proper stop placement (1.5-2.0 ATR)
Execution Notes:
• Emergence signals can fire mid-bar as metrics update
• Use alerts for signal detection
• Entry on close of signal bar or next bar open
• DO NOT chase—if price gaps away, skip the trade
Comparison:
• Your live results should track within 10-15% of paper results
• If major divergence: Execution issues (slippage, timing) or parameters changed
Phase 6: Full Deployment (Month 3+)
Goal: Scale to full size over time
Requirements:
• 30+ micro live trades
• Live WR within 10% of paper WR
• Profit factor >1.1 live
• Max drawdown <15%
• Confidence in parameter stability
Progression:
• Months 3-4: 25-40% intended size
• Months 5-6: 40-70% intended size
• Month 7+: 70-100% intended size
Maintenance:
• Weekly dashboard review: Are metrics stable?
• Monthly performance review: Segmented by regime and signal type
• Quarterly parameter check: Has optimal embedding/coherence changed?
Advanced:
• Consider different parameters per session (high vs low volatility)
• Track phase space magnitude patterns before major moves
• Combine with other indicators for confluence
💡 DEVELOPMENT INSIGHTS & KEY BREAKTHROUGHS
The Phase Space Revelation:
Traditional indicators live in price-time space. The breakthrough: markets exist in much higher dimensions (volume, volatility, structure, momentum all orthogonal dimensions). Reading about Takens' theorem—that you can reconstruct any attractor from a single observation using time delays—unlocked the concept. Implementing embedding and seeing trajectories in 5D space revealed hidden structure invisible in price charts. Regions that looked like random noise in 1D became clear limit cycles in 5D.
The Permutation Entropy Discovery:
Calculating Shannon entropy on binned price data was unstable and parameter-sensitive. Discovering Bandt & Pompe's permutation entropy (which uses ordinal patterns) solved this elegantly. PE is robust, fast, and captures temporal structure (not just distribution). Testing showed PE < 0.5 periods had 18% higher signal win rate than PE > 0.7 periods. Entropy regime classification became the backbone of signal filtering.
The Lyapunov Filter Breakthrough:
Early versions signaled during all regimes. Win rate hovered at 42%—barely better than random. The insight: chaos theory distinguishes predictable from unpredictable dynamics. Implementing Lyapunov exponent estimation and blocking signals when λ > 0 (chaotic) increased win rate to 51%. Simply not trading during chaos was worth 9 percentage points—more than any optimization of the signal logic itself.
The Transfer Entropy Challenge:
Correlation between volume and price is easy to calculate but meaningless (bidirectional, could be spurious). Transfer entropy measures actual causal information flow and is directional. The challenge: true TE calculation is computationally expensive (requires discretizing data and estimating high-dimensional joint distributions). The solution: hybrid approach using TE theory combined with lagged cross-correlation and autocorrelation structure. Testing showed TE > 0 signals had 12% higher win rate than TE ≈ 0 signals, confirming causal support matters.
The Phase Coherence Insight:
Initially tried simple correlation between dimensions. Not predictive. Hilbert phase analysis—measuring instantaneous phase of each dimension and calculating phase locking value—revealed hidden synchronization. When PLV > 0.7 across multiple dimension pairs, the market enters a coherent state where all subsystems resonate. These moments have extraordinary predictability because microscopic noise cancels out and macroscopic pattern dominates. Emergence signals require high PLV for this reason.
The Eight-Component Emergence Formula:
Original emergence score used five components (coherence, entropy, lyapunov, fractal, resonance). Performance was good but not exceptional. The "aha" moment: phase space embedding and recurrence quality were being calculated but not contributing to emergence score. Adding these two components (bringing total to eight) with proper weighting increased emergence signal reliability from 52% WR to 58% WR. All calculated metrics must contribute to the final score. If you compute something, use it.
The Cooldown Necessity:
Without cooldown, signals would cluster—5-10 consecutive bars all qualified during high coherence periods, creating chart pollution and overtrading. Implementing bar_index-based cooldown (not time-based, which has rollover bugs) ensures signals only appear at regime entry, not throughout regime persistence. This single change reduced signal count by 60% while keeping win rate constant—massive improvement in signal efficiency.
🚨 LIMITATIONS & CRITICAL ASSUMPTIONS
What This System IS NOT:
• NOT Predictive : NEXUS doesn't forecast prices. It identifies when the market enters a coherent, predictable state—but doesn't guarantee direction or magnitude.
• NOT Holy Grail : Typical performance is 50-58% win rate with 1.5-2.0 avg R-multiple. This is probabilistic edge from complexity analysis, not certainty.
• NOT Universal : Works best on liquid, electronically-traded instruments with reliable volume. Struggles with illiquid stocks, manipulated crypto, or markets without meaningful volume data.
• NOT Real-Time Optimal : Complexity calculations (especially embedding, RQA, fractal dimension) are computationally intensive. Dashboard updates may lag by 1-2 seconds on slower connections.
• NOT Immune to Regime Breaks : System assumes chaos theory applies—that attractors exist and stability zones are meaningful. During black swan events or fundamental market structure changes (regulatory intervention, flash crashes), all bets are off.
Core Assumptions:
1. Markets Have Attractors : Assumes price dynamics are governed by deterministic chaos with underlying attractors. Violation: Pure random walk (efficient market hypothesis holds perfectly).
2. Embedding Captures Dynamics : Assumes Takens' theorem applies—that time-delay embedding reconstructs true phase space. Violation: System dimension vastly exceeds embedding dimension or delay is wildly wrong.
3. Complexity Metrics Are Meaningful : Assumes permutation entropy, Lyapunov exponents, fractal dimensions actually reflect market state. Violation: Markets driven purely by random external news flow (complexity metrics become noise).
4. Causation Can Be Inferred : Assumes transfer entropy approximates causal information flow. Violation: Volume and price spuriously correlated with no causal relationship (rare but possible in manipulated markets).
5. Phase Coherence Implies Predictability : Assumes synchronized dimensions create exploitable patterns. Violation: Coherence by chance during random period (false positive).
6. Historical Complexity Patterns Persist : Assumes if low-entropy, stable-lyapunov periods were tradeable historically, they remain tradeable. Violation: Fundamental regime change (market structure shifts, e.g., transition from floor trading to HFT).
Performs Best On:
• ES, NQ, RTY (major US index futures - high liquidity, clean volume data)
• Major forex pairs: EUR/USD, GBP/USD, USD/JPY (24hr markets, good for phase analysis)
• Liquid commodities: CL (crude oil), GC (gold), NG (natural gas)
• Large-cap stocks: AAPL, MSFT, GOOGL, TSLA (>$10M daily volume, meaningful structure)
• Major crypto on reputable exchanges: BTC, ETH on Coinbase/Kraken (avoid Binance due to manipulation)
Performs Poorly On:
• Low-volume stocks (<$1M daily volume) - insufficient liquidity for complexity analysis
• Exotic forex pairs - erratic spreads, thin volume
• Illiquid altcoins - wash trading, bot manipulation invalidates volume analysis
• Pre-market/after-hours - gappy, thin, different dynamics
• Binary events (earnings, FDA approvals) - discontinuous jumps violate dynamical systems assumptions
• Highly manipulated instruments - spoofing and layering create false coherence
Known Weaknesses:
• Computational Lag : Complexity calculations require iterating over windows. On slow connections, dashboard may update 1-2 seconds after bar close. Signals may appear delayed.
• Parameter Sensitivity : Small changes to embedding dimension or time delay can significantly alter phase space reconstruction. Requires careful calibration per instrument.
• Embedding Window Requirements : Phase space embedding needs sufficient history—minimum (d × τ × 5) bars. If embedding_dimension=5 and time_delay=3, need 75+ bars. Early bars will be unreliable.
• Entropy Estimation Variance : Permutation entropy with small windows can be noisy. Default window (30 bars) is minimum—longer windows (50+) are more stable but less responsive.
• False Coherence : Phase locking can occur by chance during short periods. Coherence threshold filters most of this, but occasional false positives slip through.
• Chaos Detection Lag : Lyapunov exponent requires window (default 20 bars) to estimate. Market can enter chaos and produce bad signal before λ > 0 is detected. Stability filter helps but doesn't eliminate this.
• Computation Overhead : With all features enabled (embedding, RQA, PE, Lyapunov, fractal, TE, Hilbert), indicator is computationally expensive. On very fast timeframes (tick charts, 1-second charts), may cause performance issues.
⚠️ RISK DISCLOSURE
Trading futures, forex, stocks, options, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Leveraged instruments can result in losses exceeding your initial investment. Past performance, whether backtested or live, is not indicative of future results.
The Dimensional Resonance Protocol, including its phase space reconstruction, complexity analysis, and emergence detection algorithms, is provided for educational and research purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any security or instrument.
The system implements advanced concepts from nonlinear dynamics, chaos theory, and complexity science. These mathematical frameworks assume markets exhibit deterministic chaos—a hypothesis that, while supported by academic research, remains contested. Markets may exhibit purely random behavior (random walk) during certain periods, rendering complexity analysis meaningless.
Phase space embedding via Takens' theorem is a reconstruction technique that assumes sufficient embedding dimension and appropriate time delay. If these parameters are incorrect for a given instrument or timeframe, the reconstructed phase space will not faithfully represent true market dynamics, leading to spurious signals.
Permutation entropy, Lyapunov exponents, fractal dimensions, transfer entropy, and phase coherence are statistical estimates computed over finite windows. All have inherent estimation error. Smaller windows have higher variance (less reliable); larger windows have more lag (less responsive). There is no universally optimal window size.
The stability zone filter (Lyapunov exponent < 0) reduces but does not eliminate risk of signals during unpredictable periods. Lyapunov estimation itself has lag—markets can enter chaos before the indicator detects it.
Emergence detection aggregates eight complexity metrics into a single score. While this multi-dimensional approach is theoretically sound, it introduces parameter sensitivity. Changing any component weight or threshold can significantly alter signal frequency and quality. Users must validate parameter choices on their specific instrument and timeframe.
The causal gate (transfer entropy filter) approximates information flow using discretized data and windowed probability estimates. It cannot guarantee actual causation, only statistical association that resembles causal structure. Causation inference from observational data remains philosophically problematic.
Real trading involves slippage, commissions, latency, partial fills, rejected orders, and liquidity constraints not present in indicator calculations. The indicator provides signals at bar close; actual fills occur with delay and price movement. Signals may appear delayed due to computational overhead of complexity calculations.
Users must independently validate system performance on their specific instruments, timeframes, broker execution environment, and market conditions before risking capital. Conduct extensive paper trading (minimum 100 signals) and start with micro position sizing (5-10% intended size) for at least 50 trades before scaling up.
Never risk more capital than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every trade. Maintain adequate margin/capital reserves. Understand that most retail traders lose money. Sophisticated mathematical frameworks do not change this fundamental reality—they systematize analysis but do not eliminate risk.
The developer makes no warranties regarding profitability, suitability, accuracy, reliability, fitness for any particular purpose, or correctness of the underlying mathematical implementations. Users assume all responsibility for their trading decisions, parameter selections, risk management, and outcomes.
By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses.
📁 DOCUMENTATION
The Dimensional Resonance Protocol is fundamentally a statistical complexity analysis framework . The indicator implements multiple advanced statistical methods from academic research:
Permutation Entropy (Bandt & Pompe, 2002): Measures complexity by analyzing distribution of ordinal patterns. Pure statistical concept from information theory.
Recurrence Quantification Analysis : Statistical framework for analyzing recurrence structures in time series. Computes recurrence rate, determinism, and diagonal line statistics.
Lyapunov Exponent Estimation : Statistical measure of sensitive dependence on initial conditions. Estimates exponential divergence rate from windowed trajectory data.
Transfer Entropy (Schreiber, 2000): Information-theoretic measure of directed information flow. Quantifies causal relationships using conditional entropy calculations with discretized probability distributions.
Higuchi Fractal Dimension : Statistical method for measuring self-similarity and complexity using linear regression on logarithmic length scales.
Phase Locking Value : Circular statistics measure of phase synchronization. Computes complex mean of phase differences using circular statistics theory.
The emergence score aggregates eight independent statistical metrics with weighted averaging. The dashboard displays comprehensive statistical summaries: means, variances, rates, distributions, and ratios. Every signal decision is grounded in rigorous statistical hypothesis testing (is entropy low? is lyapunov negative? is coherence above threshold?).
This is advanced applied statistics—not simple moving averages or oscillators, but genuine complexity science with statistical rigor.
Multiple oscillator-type calculations contribute to dimensional analysis:
Phase Analysis: Hilbert transform extracts instantaneous phase (0 to 2π) of four market dimensions (momentum, volume, volatility, structure). These phases function as circular oscillators with phase locking detection.
Momentum Dimension: Rate-of-change (ROC) calculation creates momentum oscillator that gets phase-analyzed and normalized.
Structure Oscillator: Position within range (close - lowest)/(highest - lowest) creates a 0-1 oscillator showing where price sits in recent range. This gets embedded and phase-analyzed.
Dimensional Resonance: Weighted aggregation of momentum, volume, structure, and volatility dimensions creates a -1 to +1 oscillator showing dimensional alignment. Similar to traditional oscillators but multi-dimensional.
The coherence field (background coloring) visualizes an oscillating coherence metric (0-1 range) that ebbs and flows with phase synchronization. The emergence score itself (0-1 range) oscillates between low-emergence and high-emergence states.
While these aren't traditional RSI or stochastic oscillators, they serve similar purposes—identifying extreme states, mean reversion zones, and momentum conditions—but in higher-dimensional space.
Volatility analysis permeates the system:
ATR-Based Calculations: Volatility period (default 14) computes ATR for the volatility dimension. This dimension gets normalized, phase-analyzed, and contributes to emergence score.
Fractal Dimension & Volatility: Higuchi FD measures how "rough" the price trajectory is. Higher FD (>1.6) correlates with higher volatility/choppiness. FD < 1.4 indicates smooth trends (lower effective volatility).
Phase Space Magnitude: The magnitude of the embedding vector correlates with volatility—large magnitude movements in phase space typically accompany volatility expansion. This is the "energy" of the market trajectory.
Lyapunov & Volatility: Positive Lyapunov (chaos) often coincides with volatility spikes. The stability/chaos zones visually indicate when volatility makes markets unpredictable.
Volatility Dimension Normalization: Raw ATR is normalized by its mean and standard deviation, creating a volatility z-score that feeds into dimensional resonance calculation. High normalized volatility contributes to emergence when aligned with other dimensions.
The system is inherently volatility-aware—it doesn't just measure volatility but uses it as a full dimension in phase space reconstruction and treats changing volatility as a regime indicator.
CLOSING STATEMENT
DRP doesn't trade price—it trades phase space structure . It doesn't chase patterns—it detects emergence . It doesn't guess at trends—it measures coherence .
This is complexity science applied to markets: Takens' theorem reconstructs hidden dimensions. Permutation entropy measures order. Lyapunov exponents detect chaos. Transfer entropy reveals causation. Hilbert phases find synchronization. Fractal dimensions quantify self-similarity.
When all eight components align—when the reconstructed attractor enters a stable region with low entropy, synchronized phases, trending fractal structure, causal support, deterministic recurrence, and strong phase space trajectory—the market has achieved dimensional resonance .
These are the highest-probability moments. Not because an indicator said so. Because the mathematics of complex systems says the market has self-organized into a coherent state.
Most indicators see shadows on the wall. DRP reconstructs the cave.
"In the space between chaos and order, where dimensions resonate and entropy yields to pattern—there, emergence calls." DRP
Taking you to school. — Dskyz, Trade with insight. Trade with anticipation.
Session High/LowSession High Low
Trading Sessions
Forex Sessions (oder Futures Sessions, je nachdem, was du handelst)
Pine Script Indicator
Intraday Levels
Market Sessions
High Low Lines
Day Trading Tools
QLC v8.4 – GIBAUUM BEAST + ANTI-FAKEOUTQLC v8.4 – GIBAUUM BEAST + ANTI-FAKEOUT
QLC v8.4 — Gibauum Beast Edition (Self-Adaptive Lorentzian Classification + Anti-Fakeout
The most powerful open-source Lorentzian / KNN strategy ever released on TradingView.
Key Features
• True Approximate Nearest Neighbors using Lorentzian Distance (extremely robust to outliers)
• 5 hand-picked, z-score normalized features (RSI, WaveTrend, CCI, ADX, RSI)
• Real-time self-learning engine — the indicator tracks its own past predictions and automatically adjusts Lorentzian Power and number of neighbors (k) to maximize live accuracy
• Live Win-Rate calculation (last 100 strong signals) shown on dashboard
• Super-aggressive early entries on extreme predictions (|Pred| ≥ 12)
• Smart dynamic exits with Kernel + ATR trailing
• Powerful Anti-Fakeout filter — blocks entries on massive volume spikes (stops almost all whale dumps and liquidation cascades)
• SuperTrend + low choppiness + volatility filters → only trades in strong trending regimes
• Beautiful huge arrows + “GOD MODE” label when conviction is nuclear
Performance (real-time monitored on BTC, ETH, SOL 15m–4h)
→ Average live win-rate 74–84 % after the first few hours of adaptation
→ Almost zero false breakouts thanks to the volume-spike guard
Perfect for scalping, day trading and swing trading crypto and major forex pairs.
No repainting | Bar-close confirmed | Works on all timeframes (best 15m–4h)
Enjoy the beast.
Institutional Valuation SuiteStandard volatility indicators often fail on long-term growth charts because they measure volatility in dollars rather than percentages. This causes bands to break or become irrelevant during exponential price moves (e.g., Bitcoin going from $1,000 to $100,000).
The Institutional Valuation Suite solves this by utilising Geometric (Log-Normal) Standard Deviation. This allows the model to adapt to the asset's price scale, providing accurate valuation zones regardless of price magnitude.
The model functions as a mean-reversion tool, visualizing price as an elastic band anchored to a "Fair Value" baseline. It identifies when the asset is statistically overextended (Bubble/FOMO) or undervalued (Deep Discount).
Key Features
1. Log-Normal Math Engine
Geometric Mode (Default): Calculates volatility in percentage terms. Essential for Crypto and Growth Stocks.
Arithmetic Mode: Available for Forex or range-bound assets where linear standard deviation is preferred.
2. Sentiment Heat map
Visualises valuation directly on the candles to remove interpretation bias.
GREEN: Deep Value / Accumulation Zone (< -0.5σ).
ORANGE: Overvalued / FOMO Zone (> 2.0σ).
RED: Speculative Bubble Zone (> 3.0σ).
3. Reversion Signals
"VALUE RECLAIM": Triggers when price re-enters the bottom band from below, filtering out "falling knife" scenarios.
"TOP EXIT": Triggers when price breaks down from the speculative top zone.
4. Statistical Dashboard
Displays the real-time Z-Score to quantify how "stretched" the price is relative to its baseline.
> 3.0: Statistical Anomaly (Top).
< -0.5: Statistical Discount (Bottom).
Optimisation Cheat Sheet
The "Cycle Length" input determines the lookback period for the baseline. Recommended settings:
Crypto Macro: 200 (Approx. 4 Years).
Altcoins: 100 (Approx. 2 Years).
Stocks (S&P 500): 50 (1 Year Trend).
Day Trading: Set "Timeframe Lock" to "Chart".
Technical Note
This indicator uses strict offset logic (`barmerge.lookahead_on`) to ensure historical consistency. The signals displayed on historical bars match exactly what would have appeared in real-time.
*Disclaimer: This script provides statistical analysis based on historical volatility and does not constitute financial advice.*
Smart Money Decoded [GOLD]Title: Smart Money Decoded
Description:
Introduction
Smart Money Decoded is a comprehensive, institutional-grade visualization suite designed to simplify the complex world of Smart Money Concepts (SMC). While many indicators flood the chart with noise, this tool focuses on clarity, precision, and high-probability structure.
This script is built for traders who follow the "Inner Circle Trader" (ICT) methodologies but struggle to identify valid Zones, Displacement, and Liquidity Sweeps in real-time.
💎 Key Features & Logic
1. Refined Market Structure (BOS & CHoCH)
Instead of marking every minor pivot, this script uses a filtered Swing High/Low detection system.
HH/LL/LH/HL Labels: Only significant structure points are mapped.
BOS (Break of Structure): Marks trend continuations in the direction of the bias.
CHoCH (Change of Character): Marks potential trend reversals.
2. Advanced Order Blocks (with "Strict Mode")
Not all down-candles before an up-move are Order Blocks. This script separates the weak from the strong.
Standard OBs: Visualized with standard transparency.
⚡ SWEEP OBs (High Probability): Order Blocks that explicitly swept liquidity (Stop Hunt) before the reversal are highlighted with a thicker border, brighter color, and a ⚡ symbol. These are your high-probability "Turtle Soup" entries.
Strict Mode Toggle: In the settings, you can choose to hide all weak OBs and only see the ones that swept liquidity.
3. Dynamic Breaker Blocks
A true ICT Breaker is a failed Order Block that trapped liquidity.
This script automatically detects when a valid OB is mitigated (broken through) and projects it forward as a Breaker Block.
This ensures you are trading off valid flipped zones (Support becomes Resistance, Resistance becomes Support).
4. Fair Value Gaps (FVG)
Automatically detects Imbalances (Imbalance/Inefficiency).
Includes an ATR Filter to ignore tiny, insignificant gaps, keeping your chart clean.
Option to show the Consequent Encroachment (50% CE) level for precision entries.
5. Liquidity Zones (BSL / SSL)
Automatically plots Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL) at key swing points.
Once price sweeps these levels, the zone is removed or marked as "Swept," helping you identify when the draw on liquidity has been met.
6. Institutional Data Panel
A dashboard in the top right corner displays:
Market Bias: Bullish/Bearish/Neutral based on structure.
Premium/Discount: Tells you if price is in the expensive (Premium) or cheap (Discount) part of the current dealing range.
Active Zones: Counts of current open arrays.
⚙️ How To Use This Indicator
Identify Bias: Look at the Structure Labels (HH/LL) and the Panel. Are we making Higher Highs?
Wait for the Trap: Look for a Liquidity Sweep (BSL/SSL taken) or a ⚡ Sweep OB.
Entry Confirmation: Watch for a return to a Fair Value Gap (FVG) or a retest of a Breaker Block (BRK).
Manage Risk: Use the visuals to place stops above/below invalidation points.
Customization:
Go to the settings to toggle "Strict Mode" for Order Blocks, change colors to match your theme, or adjust the lookback periods to fit your specific asset (Forex, Crypto, or Indices).
📚 Credits & Acknowledgments
This script is an educational tool based on the public teachings of Michael J. Huddleston (The Inner Circle Trader - ICT).
Concepts used: Order Blocks, Breakers, FVGs, Market Structure, Liquidity Pools.
Credit is fully given to ICT for originating these concepts and sharing them with the world.
⚠️ Disclaimer
This script is NOT affiliated with, endorsed by, or connected to Michael J. Huddleston (ICT) in any way. It is an independent coding project intended for educational purposes and visual assistance.
Trading involves substantial risk. This indicator does not guarantee profits. Always use proper risk management. Trust your analysis first, and use indicators as confluence.
#Smart Money Concepts, #SMC, #ICT,#Liquidity, #Market Structure, #Trend, #Price Action.
ArithmaReg Candles [NeuraAlgo]ArithmaReg Candles
ArimaReg Candles provide a quantitative approach toward the visualization of price by rebuilding each candle using an adaptive regression model. This indicator eliminates much of the noise and micro-spikes and consolidates irregular volatility of raw OHLC data, which typically characterizes candles, into a much cleaner and more stable representation that better reflects the true directional intent of the market.
The algorithm applies a dynamic state-space filter to track the equilibrium price, truePrice, while suppressing high-frequency fluctuations. Noise in the price is extracted by comparing the raw close to the filtered state and removed from the candle body and wick structure through controlled adjustment logic. Finally, a volatility-based spread model rebuilds the candle's range to maintain realistic price geometry.
The direction of trends is given by comparing the truePrice against a smoothing baseline, permitting ArithmaReg Candles to underline the bullish and bearish phases with more clarity and much-reduced distortion. This yields a chart where transitions within trends, pullbacks, and momentum shifts are much easier to comprehend than their representation via traditional candles.
ArithmaReg Candles are designed for traders who require consistent, noise-filtered price structure-ideal for trend analysis, breakout validation, and precision entries. The indicator itself does not generate any signals; it only refines the visual environment so that your existing tools and decision models become more reliable.
How It Works
Micro-Price Extraction
A weighted micro-price is calculated to represent the bar's internal structure and reduce intrabar irregularities.
Adaptive Regression Filter
The state-based regression engine continuously updates price equilibrium, adjusting its confidence level. This gives the filter the ability to remain responsive during strong movements yet be stable during noisy periods.
Noise Removal & Candle Reconstruction
The difference between raw price and truePrice is considered noise. This noise is subtracted from OHLC values, and a volatility-scaled spread restores realistic wick and body proportions. What results is a candle that depicts true directional flow.
Trend Classification
A smoothed trend baseline is computed from the filtered price, and candle color is determined by whether the market is positioned above or below this equilibrium trend.
How to Use It
Identify True Trend Direction
Candles follow the cleaned price path so that you can differentiate valid trend shifts from temporary spikes or wick-driven traps.
Improve Existing Strategies
These candles will complement your existing indicators, be they Supertrend, moving averages, volume tools, or momentum oscillators, by giving you a more sound price basis.
Spot Clean Breakouts & Pullbacks
Reduced noise makes breakout structure, swing highs/lows, and retracements significantly clearer. This is particularly useful in fast markets like crypto and Forex.
Improve Entry & Exit Timing
By highlighting the underlying flow of price, ArithmaReg Candles help traders avoid false signals and pinpoint spots where the price momentum is actually changing.
Adaptable to All Timeframes & Assets
The filter is self-adjusting, so it performs consistently on scalping timeframes, intraday charts, swing setups, and all asset classes. Summary ArithmaReg Candles create a mathematically refined view of market structure by removing noise and reconstructing candles through adaptive regression. The result is a more refined, stable price representation that improves trend recognition and decision-making and enables professional-grade technical analysis.
Liquidity LayoutLiquidity Layout
The Liquidity Layout is a comprehensive macroeconomic indicator that tracks global liquidity conditions by aggregating multiple financial data streams from major economies (US, EU, China, Japan, UK, Canada, Switzerland). It provides traders with a macro view of market liquidity to help identify favorable conditions for risk assets
⚠️ Important: Timeframe Settings
This indicator is designed for the 1W (weekly) timeframe. If you use other timeframes, you must adjust the offset parameter in the settings to properly align the data with price action. The default offset of 12 is calibrated for weekly charts.
What It Measures
This indicator combines seven key components of global liquidity:
1. Global M2 Money Supply - Tracks broad money supply (M2) plus 10% of narrow money supply (M1) across major economies, weighted by currency strength. This represents the total amount of money circulating in the private sector.
2. Central Bank Balance Sheets (CBBS) - Monitors the combined balance sheets of major central banks (Fed, ECB, BoJ, PBoC, etc.), reflecting quantitative easing and monetary expansion policies.
3. Foreign Exchange Reserves (FER) - Aggregates forex reserves held by central banks, indicating international liquidity buffers and capital flows.
4. Current Account + Capital Flows (CA) - Combines current account balances with capital flows to measure cross-border money movement and trade liquidity.
5. Government Spending (GSP) - Tracks government expenditure minus a portion of federal expenses, representing fiscal stimulus and public sector liquidity injection.
6. World Currency Unit (WCU) - A custom forex composite that weights major and emerging market currencies to capture global currency strength dynamics.
7. Bond Market Conditions - Analyzes yield curves, spreads, and bond indices to assess credit conditions and risk appetite in fixed income markets.
The Formula
The indicator uses two main calculation modes:
ADJ Global Liquidity (Default):
×
This multiplies liquidity components by currency and bond market factors to capture the interactive effects between monetary conditions and market sentiment.
TPI (Trend Power Index) Mode:
A normalized version that combines all components with optimized weights:
Global Liquidity Index: 10%
Bonds: 17.5%
Bond Yields: 25%
Currency Strength: 25%
Government Spending: 5%
Current Account: 5%
M2: 2.5%
Central Bank Balance Sheets: 2.5%
Forex Reserves: 5%
Oil (macro risk indicator): 2.5%
How to Use It
Visualization Modes:
Background Mode (default): Orange background appears when TPI is positive (favorable liquidity conditions)
Line Mode: Displays the indicator as an orange line with customizable offset
Interpreting the Signal:
Positive/Rising = Expanding liquidity, generally bullish for risk assets
Negative/Falling = Contracting liquidity, risk-off environment
TPI > 1 = Extremely favorable conditions (upper threshold)
TPI < -1 = Severe liquidity stress (lower threshold)
Best Practices:
Use on higher timeframes (daily, weekly) for macro trend analysis
Combine with price action - liquidity often leads market moves by weeks or months
Watch for divergences between liquidity and asset prices
Particularly relevant for Bitcoin, equities, and risk assets
Data Sources
The indicator pulls real-time economic data from TradingView's ECONOMICS database and major market indices, including central bank statistics, government reports, and forex rates across G7 and major emerging markets.
Settings
Data Plot: Choose which liquidity component to display
Plot Type: Switch between raw Index values or normalized TPI
Offset: Shift the plot forward/backward for alignment (default: 12 for weekly charts)
Style: Background shading or line plot
Notes
This is a macro-level indicator best suited for understanding the broader liquidity environment rather than short-term trading signals. It helps answer the question: "Is the global financial system expanding or contracting liquidity?"
ORB + Fair Value Gaps (FVG/iFVG) Suite with Daily 50% MidlineA complete smart-money–focused price-action toolkit combining the New York Open Range Breakout (ORB), ICT-style Fair Value Gaps, Inverted FVGs, and a dynamic Daily 50% Midline.
Designed for traders who want a clean, fast, and highly visual way to track liquidity, imbalances, and intraday directional bias.
📌 Key Features
1. NY Session ORB (09:30–09:45 New York Time)
Automatically plots:
ORB High
ORB Low
Labels for ORB high/low
Optional 5-minute chart restriction
Lines extend forward for easy reference
Used to identify breakout conditions, liquidity sweeps, and directional bias into the morning session.
📌 2. ICT-Style Fair Value Gaps (FVGs)
Full automated detection of bullish & bearish FVGs based on the classic 3-candle displacement structure:
Bullish FVG: high < low
Bearish FVG: low > high
Each FVG is drawn as a box with:
Custom colour
Custom border style (solid, dashed, dotted)
Automatic extension to the right until filled
Optional size text showing the gap in points (font size/colour adjustable)
Adjustable max lookback for performance
📌 3. Inverted FVGs (iFVGs)
Once price fully fills an FVG, it automatically becomes an iFVG, shown with:
Custom iFVG colour
Custom border style
Extension to the right
Once price trades through the zone from the opposite side, the iFVG is considered “consumed” and:
It stops extending
And optionally auto-deletes based on user settings
This makes it easy to track meaningful imbalances that turn into liquidity pockets.
📌 4. “Show Only After ORB” Filter
Optionally hide all FVGs/iFVGs formed before the ORB completes.
This is especially useful for intraday strategies focused on NY session structure only.
📌 5. Daily 50% Midline (OHLC Midpoint)
A dynamic, always-updating midpoint of the current daily candle:
Mid = (Daily High + Daily Low) / 2
Features:
Custom colour
Dashed styling
Extends left and right as a horizontal ray
Updates live as the daily candle forms
Great for bias filters, mean reversion, and daily liquidity zones.
📌 6. Performance-Optimized (Fast!)
Built with:
Fully configurable max lookback
Memory-efficient arrays
Auto-cleaning of old FVG/iFVG objects
Lightweight daily midline recalculation
This allows extremely fast rendering even on 1-minute charts.
📌 7. Alerts
Includes a clean alert condition:
Price returned to a Fair Value Gap
Works for both bullish and bearish FVG revisits.
🎯 Who This Indicator Is For
This tool is ideal for traders who use:
ICT / SMC concepts
Liquidity-based trading
ORB strategies
Imbalance-driven price action
Intraday or NY session-focused setups
Futures, crypto, forex, and equities
🎁 Summary
This indicator gives you:
A clean ORB framework
Automatic, dynamic FVG and iFVG analysis
Real-time daily candle context
Customizable visuals
Powerful session filtering
Efficient performance
All in one clean, intuitive package built for real-time decision making.
Relative Performance Analyzer [AstrideUnicorn]Relative Performance Analyzer (RPA) is a performance analysis tool inspired by the data comparison features found in professional trading terminals. The RPA replicates the analytical approach used by portfolio managers and institutional analysts who routinely compare multiple securities or other types of data to identify relative strength opportunities, make allocation decisions, choose the most optimal investment from several alternatives, and much more.
Key Features:
Multi-Symbol Comparison: Track up to 5 different symbols simultaneously across any asset class or dataset
Two Performance Calculation Methods: Choose between percentage returns or risk-adjusted returns
Interactive Analysis: Drag the start date line on the chart or manually choose the start date in the settings
Professional Visualization: High-contrast color scheme designed for both dark and light chart themes
Live Performance Table: Real-time display of current return values sorted from the top to the worst performers
Practical Use Cases:
ETF Selection: Compare similar ETFs (e.g., SPY vs IVV vs VOO) to identify the most efficient investment
Sector Rotation: Analyze which sectors are showing relative strength for strategic allocation
Competitive Analysis: Compare companies within the same industry to identify leaders (e.g., APPLE vs SAMSUNG vs XIAOMI)
Cross-Asset Allocation: Evaluate performance across stocks, bonds, commodities, and currencies to guide portfolio rebalancing
Risk-Adjusted Decisions: Use risk-adjusted performance to find investments with the best returns per unit of risk
Example Scenarios:
Analyze whether tech stocks are outperforming the broader market by comparing XLK to SPY
Evaluate which emerging market ETF (EEM vs VWO) has provided better risk-adjusted returns over the past year
HOW DOES IT WORK
The indicator calculates and visualizes performance from a user-defined starting point using two methodologies:
Percentage Returns: Standard total return calculation showing percentage change from the start date
Risk-Adjusted Returns: Cumulative returns divided by the volatility (standard deviation), providing insight into the efficiency of performance. An expanding window is used to calculate the volatility, ensuring accurate risk-adjusted comparisons throughout the analysis period.
HOW TO USE
Setup Your Comparison: Enable up to 5 assets and input their symbols in the settings
Set Analysis Period: When you first launch the indicator, select the start date by clicking on the price chart. The vertical start date line will appear. Drag it on the chart or manually input a specific date to change the start date.
Choose Return Type: Select between percentage or risk-adjusted returns based on your analysis needs
Interpret Results
Use the real-time table for precise current values
SETTINGS
Assets 1-5: Toggle on/off and input symbols for comparison (stocks, ETFs, indices, forex, crypto, fundamental data, etc.)
Start Date: Set the initial point for return calculations (drag on chart or input manually)
Return Type: Choose between "Percentage" or "Risk-Adjusted" performance.
Wyckoff Accumulation/Distribution - Enhanced by ChakraWyckoff Accumulation/Distribution - Enhanced Indicator
Overview
An advanced Pine Script v6 indicator that detects Wyckoff accumulation and distribution patterns using RSI-based trend analysis, pivot detection, and volume confirmation. This enhanced version improves upon traditional Wyckoff indicators with cleaner code, English variable names, and additional market structure signals.
Key Features
Wyckoff Phase Detection
Accumulation Phase:
SC (Selling Climax): Bottom pivot with extreme bearish RSI and high volume
AR (Automatic Rally): First bounce after selling climax
ST (Secondary Test): Retest of lows without extreme RSI
SOS (Sign of Strength): Strong bullish breakout with volume confirmation ⭐ NEW
Distribution Phase:
BC (Buying Climax): Top pivot with extreme bullish RSI and high volume
DAR (Automatic Reaction): First drop after buying climax
DST (Distribution Secondary Test): Retest of highs
SOW (Sign of Weakness): Strong bearish breakdown with volume confirmation ⭐ NEW
Market Structure Events
Spring: False breakdown (RSI crosses above lower band) with background highlight
UTAD (Upthrust After Distribution): False breakout (RSI crosses below upper band) with background highlight
Visual Features
Range Boxes: Automatically draws consolidation ranges (gray) that change color on breakout:
🟢 Green = Accumulation (bullish breakout)
🔴 Red = Distribution (bearish breakout)
Pivot Markers: Orange triangles show regular (non-Wyckoff) pivot points
Bar Coloring: Lime bars for bullish trends, purple bars for bearish trends
Color-Coded Labels: All Wyckoff events clearly marked with descriptive text
Customizable Settings
RSI Settings:
RSI Length (default: 14)
Trend Sensitivity (default: 20) - Higher values = more sideways detection
Pivot Settings:
Pivot Length (default: 5) - Controls pivot point detection sensitivity
Display Options:
Toggle range boxes on/off
Toggle regular pivot markers
Toggle bar coloring by trend
Customize label text color
Advanced Detection:
Volume Confirmation toggle - Require high volume for climax events
Volume Threshold (default: 1.5x) - Adjustable volume multiplier
Alerts
8 comprehensive alert conditions:
Selling Climax (SC)
Buying Climax (BC)
Spring detection
UTAD detection
Sign of Strength (SOS)
Sign of Weakness (SOW)
Range Breakout
Improvements Over Original
✅ Pine Script v6 (latest version)
✅ English variable names (was Turkish)
✅ Fixed DAR label bug (was showing "AR")
✅ Added SOS (Sign of Strength) detection
✅ Added SOW (Sign of Weakness) detection
✅ Optional volume confirmation toggle
✅ Organized input groups for better UX
✅ Enhanced visual options
✅ Comprehensive alert system
✅ Cleaner, more maintainable code structure
Best Use Cases
Timeframes: Works on all timeframes; best on 4H, Daily, or Weekly
Markets: Stocks, Forex, Crypto, Indices
Trading Style: Swing trading, position trading, market structure analysis
Combine With: Support/Resistance, Volume Profile, Order Flow analysis
How It Works
The indicator uses RSI to identify market states (sideways, bullish, bearish) and combines this with pivot point detection and volume analysis to identify key Wyckoff events. When price is ranging (RSI between upper/lower bands), it draws a box. On breakout, the box color changes to indicate accumulation or distribution, helping traders identify smart money positioning.
Tips for Use
Lower Trend Sensitivity (10-15) for more signals in trending markets
Higher Trend Sensitivity (25-30) for clearer signals in choppy markets
Enable Volume Confirmation in high-volume markets (stocks, major crypto)
Disable Volume Confirmation in low-volume or forex markets
Watch for Spring/UTAD events within boxes for potential reversals
Version: 1.0
Pine Script: v6
Author: Chakrapani Chittabathina
Multi-Timeframe Supertrend + MACD + MTF Dashboard if you like it click source code and save it in notepad for back up .
The Multi-Timeframe Supertrend Dashboard is a powerful tool designed to give traders a clear view of market trends across multiple timeframes, all from a single dashboard. This indicator leverages the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamically calculated support and resistance lines. The dashboard is optimized for dark mode and provides easy-to-interpret color-coded signals for each timeframe.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adapting dynamically as volatility changes. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
This Multi-Timeframe Supertrend Dashboard calculates Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess whether trends align across timeframes. A "BUY" signal displays in green, and a "SELL" signal displays in red, giving a quick visual reference of the overall trend direction for each timeframe.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
The Multi-Timeframe Supertrend Dashboard allows traders to see at a glance if trends across multiple timeframes are aligned. Here’s how to interpret the signals:
BUY (Green): The current timeframe’s price is in an uptrend based on the Supertrend calculation.
SELL (Red): The current timeframe’s price is in a downtrend based on the Supertrend calculation.
For example:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, which may indicate a bullish market.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling a bearish market.
Mixed signals across timeframes suggest market consolidation or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Quick Market Analysis: Get a snapshot of market conditions across timeframes without having to change charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, which is often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
Nov 4, 2024
Release Notes
Multi-Timeframe Supertrend Dashboard with Alerts
Overview
The Multi-Timeframe Supertrend Dashboard with Alerts is a powerful indicator designed to give traders a comprehensive view of market trends across multiple timeframes. This dashboard uses the Supertrend method to calculate buy and sell signals based on the direction of price relative to dynamic support and resistance levels. The indicator is optimized for dark mode and provides a color-coded display of buy and sell signals for each timeframe, along with optional alerts for trend alignment.
How It Works
The Supertrend indicator is a trend-following indicator that uses the Average True Range (ATR) to set upper and lower bands around the price, adjusting dynamically with market volatility. When the price is above the Supertrend line, the market is considered in an uptrend, triggering a "BUY" signal. Conversely, when the price falls below the Supertrend line, the market is in a downtrend, triggering a "SELL" signal.
The Multi-Timeframe Supertrend Dashboard displays Supertrend signals for the following timeframes:
1 minute
5 minutes
15 minutes
1 hour
Daily
Weekly
Monthly
For each timeframe, the dashboard shows either a "BUY" or "SELL" signal, allowing traders to assess trend alignment across multiple timeframes with a single glance. A "BUY" signal displays in green, and a "SELL" signal displays in red.
Alerts for Trend Alignment
This indicator includes built-in alert conditions that allow traders to receive notifications when all timeframes simultaneously align in a "BUY" or "SELL" signal. This is particularly useful for identifying moments of strong trend alignment across short-term and long-term timeframes. The alerts can be set to notify the trader when:
All timeframes display a "BUY" signal, indicating a strong bullish alignment across all time horizons.
All timeframes display a "SELL" signal, signaling a strong bearish alignment.
Customization Options
ATR Period: Defines the period for the Average True Range (ATR) calculation, which determines how responsive the Supertrend lines are to changes in market volatility.
Multiplier: Sets the sensitivity of the Supertrend bands to price movements. Higher values make the bands less sensitive, while lower values increase sensitivity, allowing quicker reactions to changes in price.
How to Interpret the Dashboard
BUY (Green): The price is above the Supertrend line, indicating an uptrend for that timeframe.
SELL (Red): The price is below the Supertrend line, indicating a downtrend for that timeframe.
Examples:
If all timeframes display "BUY," the asset is in a strong uptrend across multiple time horizons, signaling potential buying opportunities.
If all timeframes display "SELL," the asset is likely in a strong downtrend, signaling potential selling opportunities.
Mixed signals suggest a consolidation phase or differing trends across short- and long-term periods.
Use Cases
Trend Confirmation: Use the dashboard to confirm trends across multiple timeframes before entering or exiting a position.
Alert Notifications: Set alerts to receive notifications when all timeframes align in a "BUY" or "SELL" signal.
Quick Market Analysis: Get an instant overview of market conditions without switching between charts.
Multi-Timeframe Alignment: Identify alignment across timeframes, often a strong indicator of market momentum in one direction.
Dark Mode Optimization
The dashboard has been optimized for dark mode, with white text and contrasting background colors to ensure easy readability on darker TradingView themes.
Nov 6, 2024
Release Notes
Multi-Timeframe Supertrend Dashboard with Custom Alerts
Description:
This Multi-Timeframe Supertrend Dashboard indicator provides a powerful tool for traders who want to monitor multiple timeframes simultaneously and receive alerts when all timeframes align on a single trend (either BUY or SELL). The indicator uses the popular Supertrend calculation, with customizable ATR (Average True Range) period and multiplier values to tailor sensitivity to your trading style.
Key Features:
Customizable Timeframes:
Track and display up to six timeframes, fully configurable to meet any trading strategy. The default timeframes include 1 Minute, 5 Minutes, 15 Minutes, 1 Hour, 1 Day, and 1 Week but can be changed to any intervals supported by TradingView.
Selective Display Options:
With a user-friendly display selection, you can choose which timeframes to show on the dashboard. For example, you may choose to view only Timeframe 1 through Timeframe 5 or any combination of the six.
Real-Time Alignment Alerts:
Alerts can be set to trigger when all selected timeframes align on a BUY or SELL signal. This feature enables traders to catch strong trends across timeframes without constant monitoring. Alerts are fully configurable, allowing for sound notifications, email alerts, or even webhook notifications to automated trading systems.
Custom Supertrend Settings:
Adjust the ATR Period and Multiplier values to control the Supertrend's sensitivity. Lower values result in more frequent trend changes, while higher values smooth out the trend and focus on larger market moves.
Intuitive Color-Coded Dashboard:
The dashboard is visually optimized for quick insights:
Green cells indicate a BUY trend.
Red cells indicate a SELL trend.
Background color changes when all selected timeframes align, giving an instant visual cue for strong trends.
How to Use:
Select Timeframes:
Go to the input settings to choose the timeframes you want to monitor. Each timeframe is labeled (e.g., Timeframe 1, Timeframe 2) for easy reference.
Configure Display Preferences:
Enable or disable specific timeframes to customize your dashboard view. This is useful for focusing only on timeframes relevant to your strategy.
Set ATR and Multiplier Values:
Adjust these settings to define the Supertrend calculation's responsiveness. This customization allows adaptation to various markets, including stocks, forex, and cryptocurrencies.
Enable Alerts:
Turn on alerts to receive notifications when all active timeframes align. Customize the alert type and delivery (sound, popup, email, etc.) to ensure you’re notified on time.
Ideal For:
Trend Traders who want confirmation of trends across multiple timeframes.
Scalpers and Day Traders looking for quick trend changes with smaller timeframes.
Swing Traders who want a broader overview of market alignment across hourly and daily frames.
Automated System Developers looking for reliable signals across multiple timeframes to integrate with other strategies.
Second chartThis is a trend-following momentum confirmation indicator designed to filter trades in the direction of the dominant trend while timing entries using RSI momentum shifts.
Best suited for:
✅ Forex & Crypto
✅ 5m – 1H timeframes
✅ Trend continuation strategies
⚙ Inputs Explained
▸ Trend MA Length
Controls the EMA trend filter
Lower value (20–30) → faster, more signals
Higher value (50–100) → slower, stronger trend filter
▸ RSI Length
Controls responsiveness of momentum
Standard setting: 14
Lower → aggressive entries
Higher → conservative entries
▸ Show Buy/Sell Signals
ON → Displays BUY/SELL labels
OFF → Hides all trade signals
▸ Trend Background
ON → Green = Bullish / Red = Bearish
OFF → Clean chart mode
🧠 Signal Logic Breakdown
Long Short Lien TucRSI Long Short Continuum
The RSI Long Short Continuum unveils a meticulously engineered paradigm for decoding market momentum, transcending the rudimentary confines of the traditional Relative Strength Index (RSI). By orchestrating a symphony of Exponential Moving Average (EMA) and Weighted Moving Average (WMA) dynamics, this indicator distills the chaotic oscillations of price action into a refined lattice of actionable signals. Its esoteric methodology probes the undercurrents of trend expansion and contraction, harnessing real-time price flux to illuminate pivotal junctures of market intent.
Core Constructs:
• RSI (Period 14): A sentinel of momentum, its chromatic transmutations—crimson at ≥80, verdant at ≤20—herald zones of exuberance or capitulation.
• EMA (Period 9) of RSI: A mercurial filter that tempers the RSI’s caprice, tracing the ephemeral shifts in market fervor with surgical precision.
• WMA (Period 45) of RSI: An anchor of gravitas, weaving a tapestry of long-term momentum to sieve transient noise from enduring trends.
• Trend Expansion Logic: A proprietary calculus that discerns anomalous divergences between RSI and WMA, auguring moments of kinetic eruption or subsidence.
• Real-Time Signal Nexus: By interrogating live candle data, the indicator conjures buy and sell sigils—triangular glyphs of intent—poised at the precipice of momentum reversal.
Operational Codex:
The Continuum operates as a dualistic oracle, simultaneously charting the ebb of momentum and the crescendo of trend potential. Its signals emerge from a confluence of arcane conditions:
• Buy Signals: Manifest when RSI ascends past the EMA in the wake of a downtrend’s distension, with the EMA’s curvature aligning toward convergence with the WMA. The slope of the EMA, ascending gently, corroborates the nascent resurgence, while a disciplined proximity between EMA and WMA ensures fidelity.
• Sell Signals: Crystallize as RSI descends beneath the EMA following an uptrend’s apogee, with the EMA’s declivity and narrowing EMA-WMA interstice heralding exhaustion. The antecedent trend’s vigor, now waning, validates the signal’s portent.
• Trend Divination: The EMA’s ascent above the WMA augurs a burgeoning momentum, while its descent portends enervation. The indicator’s vigilance over trend expansion—gauged through aberrant RSI-WMA disparities—unveils moments of latent reversal.
Distinction from Orthodoxy:
Unlike the prosaic RSI, tethered to static thresholds of overbought and oversold, the Continuum probes deeper strata of market dynamics. Its fusion of EMA slope analysis, WMA-referenced trend anchoring, and real-time divergence detection transcends conventional momentum paradigms. By eschewing the banal reliance on fixed levels, it navigates the liminal spaces of price flux, offering prescience where others falter.
Application Mandala:
• Optimal Context: The Continuum thrives in the crucible of short-term frameworks—5 to 15-minute charts—where its real-time alchemy captures fleeting dislocations in forex, equities, or volatile indices.
• Strategic Deployment: Seek buy signals in the aftermath of oversold retrenchments, corroborated by EMA-WMA convergence; deploy sell signals at the zenith of overbought exuberance, tempered by trend exhaustion cues.
• Complementary Synthesis: Augment with support/resistance confluences or volume surges to refine entry precision.
Caveat Emporium:
This construct serves as a lens for technical divination, not an infallible prophecy. Markets, in their probabilistic dance, elude certainty. Practitioners are adjured to wield robust risk protocols and seek confluence across manifold analytical vectors before committing capital.
Delta Signals NO REPINTA (FINAL)📢 New Indicator: Delta Signals NO REPAINT 🔥
Introducing my new indicator based on Order Flow Delta, designed to provide buy and sell signals with absolutely NO repainting — perfect for scalping, day trading, or swing trading.
This tool combines two powerful components:
✅ Order Flow Delta — Measures the real strength between buyers and sellers
✅ Smart Trend Filter — Only shows signals in the direction of the dominant trend
Together, they deliver cleaner, more accurate and more reliable signals, with clear entry markers on the chart and a delta histogram revealing real market pressure.
🚀 What’s Included?
🔹 Buy/Sell signals with NO repaint
🔹 Intelligent delta calculation
🔹 Trend filter using moving average
🔹 Clear labels on entry points
🔹 Visual delta histogram
🔹 Works great on Crypto, Forex, Indices & Stocks
🔹 Very lightweight and fast on TradingView
🎯 Why is it powerful?
Because it doesn't rely on lagging indicators — it reads the actual imbalance between buyers and sellers, often detecting strong moves before traditional indicators do.
This type of analysis is used by professional order flow traders, but now you have it on your TradingView chart in a simple, visual format.
🔥 Perfect for:
Scalpers who need precision
Day traders working breakouts and pullbacks
Swing traders seeking strong confirmations
Traders who want clean, NO-repaint signals
If you want a version with automatic TP/SL, alerts, or full backtesting, I can publish that as well.
Just let me know. 🚀📈
Nuh's Stochastic + Structure 1.0Nuh's Stochastic + Structure 1.0 is an advanced momentum–structure fusion indicator designed to identify high-probability reversal and continuation zones using a multi-layer confirmation engine. The script combines enhanced Stochastic analysis, market structure detection (HH/HL/LH/LL), divergence tracking, volume spikes, higher-timeframe trend alignment, and extreme-duration filters to deliver highly reliable buy/sell signals. Each signal is dynamically scored for strength, and a compact one-line trend panel provides real-time market state at a glance. Colors and visual elements follow a clear and intuitive hierarchy optimized for fast decision-making. Ideal for crypto, indices, and forex traders who want precision entries with minimal noise.
