Rpaid Killzone Breakout v3.6Final Indicator Title: Rapid Killzone Break & HTF Levels
Overview
Welcome to the Rapid Killzone Break & HTF Levels, an all-in-one trading toolkit designed for precision and context. This indicator was built to solve a common problem for day traders: how to combine a precise, lower-timeframe (LTF) entry model with the essential context of higher-timeframe (HTF) levels.
This tool is founded on a session-based breakout strategy, leveraging the volatility and liquidity generated during specific market hours (the "Killzones"). It then layers critical HTF support and resistance levels onto your chart, allowing you to make more informed trading decisions without ever needing to switch timeframes.
Whether you trade Forex, Gold, or major Indices, this indicator provides a comprehensive framework for identifying high-probability breakout opportunities.
The Core Strategy
The methodology is a powerful three-step process based on session liquidity and qualified breakouts:
The Killzone Range: The indicator first identifies the high and low established during a specific, high-volatility trading session (e.g., the first hour of London or New York). This range acts as a pool of liquidity. The core idea is that the market will often seek to "sweep" or run the liquidity resting above the session high or below the session low.
The Qualified Breakout: This is not just any breakout strategy. A valid entry signal only appears when price closes decisively outside the Killzone range with significant momentum. To ensure the quality of the signal, the breakout must meet several user-defined criteria:
The Killzone must have a minimum pip range.
The breakout candle must have a strong body-to-wick ratio.
The breakout must be accompanied by a spike in volume.
Higher Timeframe Confluence: A breakout is more likely to succeed if it aligns with the HTF narrative. This indicator plots the previous higher-timeframe candle's high and low directly onto your chart. These levels act as powerful magnets for price or as formidable support/resistance zones. A breakout on the LTF that targets the HTF previous high is a much higher-probability setup than one trading directly into it.
Key Features
📊 DST-Aware Killzones: Automatically adjusting session boxes for London and New York. The timezones are fully configurable (e.g., Europe/London, America/New_York) and automatically handle Daylight Saving Time changes so you never have to manually adjust them.
📈 Killzone Pivots: Automatically draws the High, Low, and a dotted Midpoint from each Killzone session, acting as key intraday levels.
🏛️ Higher Timeframe (HTF) Levels: Plots the previous HTF candle's High and Low as dashed lines on your chart, providing critical context for support, resistance, and targets.
🕯️ HTF Mini-Candles: Displays a visual summary of the last three HTF candles on the right side of your chart, so you can see the HTF trend at a glance.
⏰ Custom Vertical Timestamps: Up to three configurable vertical lines with labels to mark key events like other session opens (e.g., "Sydney Open").
🎛️ Advanced Breakout Filters: Fine-tune your signals with filters for minimum Killzone range, minimum candle body percentage, and volume spikes. (Important: The volume filter requires a data feed that provides real volume, such as OANDA, FXCM, or futures/stock data).
✅ Dynamic Entry Advice Table: After a signal, a table provides a suggested entry technique (e.g., "50% retrace to signal candle") based on how far price has moved from the breakout level.
📋 Killzone Range Stats Table: A clean table shows the current and average pip range for both the London and New York sessions, helping you gauge current volatility.
🛠️ Fully Customizable: Nearly every visual element can be toggled on/off or have its color and style changed to suit your personal chart theme.
How to Use This Indicator
This tool is designed to provide a clear, step-by-step workflow for your trading sessions.
Setup: In the settings, choose your desired Reference Timeframe (e.g., 240 for 4-Hour). Configure your Killzone session times and colors.
Context is King: Before the session begins, take note of where price is in relation to the dashed HTF High/Low lines. Is price consolidating below the previous HTF low? A breakout might target it. Is price approaching the HTF high? This could be a take-profit area or a point of resistance.
Wait for the Range: Allow the London or New York Killzone (the colored box) to form completely.
Anticipate the Breakout: Once the session box is closed, the indicator is now hunting for a valid breakout.
Validate the Signal: When a "Long" or "Short" label appears, this is your entry signal. Check the Info-Box data (RSI, volume, candle body %) to confirm the strength of the move.
Manage the Trade: Use the Killzone pivots and the HTF High/Low lines as potential areas to manage your trade, take partial profits, or identify a final target. Check the Entry Advice table for ideas on refined entries if you miss the initial move.
Applicable Markets
This strategy is most effective on instruments known for their session-based volatility. It has been tested and works exceptionally well on:
Forex Majors: EUR/USD, GBP/USD, etc.
Gold: XAU/USD
Indices: NASDAQ 100 (NQ100), S&P 500 (SPX500)
It is best used on lower timeframes (such as the 5-minute or 15-minute chart) for trade execution.
Поиск скриптов по запросу "liquidity"
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE)
## Advanced Multi-Dimensional Mathematical Analysis System
*Where Quantum Mathematics Meets Market Structure*
---
## 🎓 THEORETICAL FOUNDATION
The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry.
### 🌊 Multi-Dimensional Volatility with Jump Detection
**Hawkes Process Implementation:**
The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects.
**Mathematical Foundation:**
```
Intensity λ(t) = μ + Σ α(t - Tᵢ)
```
Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99).
**Mahalanobis Distance Calculation:**
The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions:
- **Dimension 1:** Price volatility (standard deviation of returns)
- **Dimension 2:** Volume volatility (normalized volume fluctuations)
- **Dimension 3:** Range volatility (high-low spread variations)
- **Dimension 4:** Correlation volatility (price-volume relationship changes)
- **Dimension 5:** Microstructure volatility (intrabar positioning analysis)
This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches.
### 📐 Hurst Exponent Regime Detection
**Fractal Market Hypothesis Integration:**
The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification:
- **H > 0.6:** Trending (persistent) markets - momentum strategies optimal
- **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal
- **H ≈ 0.5:** Random walk markets - breakout strategies preferred
**Adaptive R/S Analysis:**
Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions:
```
H = log(R/S) / log(n)
```
Where R is the range of cumulative deviations and S is the standard deviation over period n.
**Dynamic Regime Classification:**
The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods.
### 🔄 Transfer Entropy Analysis
**Information Flow Quantification:**
Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements:
```
TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log
```
**Causality Detection:**
- **Volume → Price:** Indicates accumulation/distribution phases
- **Price → Volume:** Suggests retail participation or momentum chasing
- **Balanced Flow:** Market equilibrium or transition periods
The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows.
---
## 🔧 COMPREHENSIVE INPUT SYSTEM
### Core Parameters Group
**Primary Analysis Window (10-100, Default: 50)**
The fundamental lookback period affecting all calculations. Optimization by timeframe:
- **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements)
- **15 minute-1 hour:** 30-50 (balanced responsiveness and stability)
- **4 hour-daily:** 50-100 (smooth signals, reduced noise)
- **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60
**Signal Sensitivity (0.1-2.0, Default: 0.7)**
Master control affecting all threshold calculations:
- **Conservative (0.3-0.6):** High-quality signals only, fewer false positives
- **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles
- **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering
**Signal Generation Mode:**
- **Aggressive:** Any component signals (highest frequency)
- **Confluence:** 2+ components agree (balanced approach)
- **Conservative:** All 3 components align (highest quality)
### Volatility Jump Detection Group
**Volatility Dimensions (2-5, Default: 3)**
Determines the mathematical space complexity:
- **2D:** Price + Volume volatility (suitable for clean markets)
- **3D:** + Range volatility (optimal for most conditions)
- **4D:** + Correlation volatility (advanced multi-asset analysis)
- **5D:** + Microstructure volatility (maximum sensitivity)
**Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)**
Standard deviations required for volatility jump classification:
- **Cryptocurrency:** 2.0-2.5σ (naturally volatile)
- **Stock Indices:** 2.5-3.0σ (moderate volatility)
- **Forex Major Pairs:** 3.0-3.5σ (typically stable)
- **Commodities:** 2.0-3.0σ (varies by commodity)
**Jump Clustering Decay (0.5-0.99, Default: 0.85)**
Hawkes process memory parameter:
- **0.5-0.7:** Fast decay (jumps treated as independent)
- **0.8-0.9:** Moderate clustering (realistic market behavior)
- **0.95-0.99:** Strong clustering (crisis/event-driven markets)
### Hurst Exponent Analysis Group
**Calculation Method Options:**
- **Classic R/S:** Original Rescaled Range (fast, simple)
- **Adaptive R/S:** Dynamic windowing (recommended for trading)
- **DFA:** Detrended Fluctuation Analysis (best for noisy data)
**Trending Threshold (0.55-0.8, Default: 0.60)**
Hurst value defining persistent market behavior:
- **0.55-0.60:** Weak trend persistence
- **0.65-0.70:** Clear trending behavior
- **0.75-0.80:** Strong momentum regimes
**Mean Reversion Threshold (0.2-0.45, Default: 0.40)**
Hurst value defining anti-persistent behavior:
- **0.35-0.45:** Weak mean reversion
- **0.25-0.35:** Clear ranging behavior
- **0.15-0.25:** Strong reversion tendency
### Transfer Entropy Parameters Group
**Information Flow Analysis:**
- **Price-Volume:** Classic flow analysis for accumulation/distribution
- **Price-Volatility:** Risk flow analysis for sentiment shifts
- **Multi-Timeframe:** Cross-timeframe causality detection
**Maximum Lag (2-20, Default: 5)**
Causality detection window:
- **2-5 bars:** Immediate causality (scalping)
- **5-10 bars:** Short-term flow (day trading)
- **10-20 bars:** Structural flow (swing trading)
**Significance Threshold (0.05-0.3, Default: 0.15)**
Minimum entropy for signal generation:
- **0.05-0.10:** Detect subtle information flows
- **0.10-0.20:** Clear causality only
- **0.20-0.30:** Very strong flows only
---
## 🎨 ADVANCED VISUAL SYSTEM
### Tensor Volatility Field Visualization
**Five-Layer Resonance Bands:**
The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength:
- **Core Layer (Purple):** Primary tensor field with highest intensity
- **Layer 2 (Neutral):** Secondary mathematical resonance
- **Layer 3 (Info Blue):** Tertiary harmonic frequencies
- **Layer 4 (Warning Gold):** Outer field boundaries
- **Layer 5 (Success Green):** Maximum field extension
**Field Strength Calculation:**
```
Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity)
```
The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility.
**Radiation Line Network:**
During active tensor states, the system projects directional radiation lines showing field energy distribution:
- **8 Directional Rays:** Complete angular coverage
- **Tapering Segments:** Progressive transparency for natural visual flow
- **Pulse Effects:** Enhanced visualization during volatility jumps
### Dimensional Portal System
**Portal Mathematics:**
Dimensional portals visualize regime transitions using category theory principles:
- **Green Portals (◉):** Trending regime detection (appear below price for support)
- **Red Portals (◎):** Mean-reverting regime (appear above price for resistance)
- **Yellow Portals (○):** Random walk regime (neutral positioning)
**Tensor Trail Effects:**
Each portal generates 8 trailing particles showing mathematical momentum:
- **Large Particles (●):** Strong mathematical signal
- **Medium Particles (◦):** Moderate signal strength
- **Small Particles (·):** Weak signal continuation
- **Micro Particles (˙):** Signal dissipation
### Information Flow Streams
**Particle Stream Visualization:**
Transfer entropy creates flowing particle streams indicating information direction:
- **Upward Streams:** Volume leading price (accumulation phases)
- **Downward Streams:** Price leading volume (distribution phases)
- **Stream Density:** Proportional to information flow strength
**15-Particle Evolution:**
Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent.
### Fractal Matrix Grid System
**Multi-Timeframe Fractal Levels:**
The system calculates and displays fractal highs/lows across five Fibonacci periods:
- **8-Period:** Short-term fractal structure
- **13-Period:** Intermediate-term patterns
- **21-Period:** Primary swing levels
- **34-Period:** Major structural levels
- **55-Period:** Long-term fractal boundaries
**Triple-Layer Visualization:**
Each fractal level uses three-layer rendering:
- **Shadow Layer:** Widest, darkest foundation (width 5)
- **Glow Layer:** Medium white core line (width 3)
- **Tensor Layer:** Dotted mathematical overlay (width 1)
**Intelligent Labeling System:**
Smart spacing prevents label overlap using ATR-based minimum distances. Labels include:
- **Fractal Period:** Time-based identification
- **Topological Class:** Mathematical complexity rating (0, I, II, III)
- **Price Level:** Exact fractal price
- **Mahalanobis Distance:** Current mathematical field strength
- **Hurst Exponent:** Current regime classification
- **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡)
### Wick Pressure Analysis
**Rejection Level Mathematics:**
The system analyzes candle wick patterns to project future pressure zones:
- **Upper Wick Analysis:** Identifies selling pressure and resistance zones
- **Lower Wick Analysis:** Identifies buying pressure and support zones
- **Pressure Projection:** Extends lines forward based on mathematical probability
**Multi-Layer Glow Effects:**
Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart.
### Enhanced Regime Background
**Dynamic Intensity Mapping:**
Background colors reflect mathematical regime strength:
- **Deep Transparency (98% alpha):** Subtle regime indication
- **Pulse Intensity:** Based on regime strength calculation
- **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random)
**Smoothing Integration:**
Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts.
### Color Scheme System
**Six Professional Themes:**
- **Dark (Default):** Professional trading environment optimization
- **Light:** High ambient light conditions
- **Classic:** Traditional technical analysis appearance
- **Neon:** High-contrast visibility for active trading
- **Neutral:** Minimal distraction focus
- **Bright:** Maximum visibility for complex setups
Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences.
---
## 📊 INSTITUTIONAL-GRADE DASHBOARD
### Tensor Field Status Section
**Field Strength Display:**
Real-time Mahalanobis distance calculation with dynamic emoji indicators:
- **⚡ (Lightning):** Extreme field strength (>1.5× threshold)
- **● (Solid Circle):** Strong field activity (>1.0× threshold)
- **○ (Open Circle):** Normal field state
**Signal Quality Rating:**
Democratic algorithm assessment:
- **ELITE:** All 3 components aligned (highest probability)
- **STRONG:** 2 components aligned (good probability)
- **GOOD:** 1 component active (moderate probability)
- **WEAK:** No clear component signals
**Threshold and Anomaly Monitoring:**
- **Threshold Display:** Current mathematical threshold setting
- **Anomaly Level (0-100%):** Combined volatility and volume spike measurement
- **>70%:** High anomaly (red warning)
- **30-70%:** Moderate anomaly (orange caution)
- **<30%:** Normal conditions (green confirmation)
### Tensor State Analysis Section
**Mathematical State Classification:**
- **↑ BULL (Tensor State +1):** Trending regime with bullish bias
- **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias
- **◈ SUPER (Tensor State 0):** Random walk regime (neutral)
**Visual State Gauge:**
Five-circle progression showing tensor field polarity:
- **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment
- **⚪⚪🟡⚪⚪:** Neutral/transitional state
- **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment
**Trend Direction and Phase Analysis:**
- **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification
- **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength)
- **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength)
- **😴 CALM:** Low information flow (<1.0 flow strength)
### Trading Signals Section
**Real-Time Signal Status:**
- **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability
- **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability
- **Components (X/3):** Active algorithmic components
- **Mode Display:** Current signal generation mode
**Signal Strength Visualization:**
Color-coded component count:
- **Green:** 3/3 components (maximum confidence)
- **Aqua:** 2/3 components (good confidence)
- **Orange:** 1/3 components (moderate confidence)
- **Gray:** 0/3 components (no signals)
### Performance Metrics Section
**Win Rate Monitoring:**
Estimated win rates based on signal quality with emoji indicators:
- **🔥 (Fire):** ≥60% estimated win rate
- **👍 (Thumbs Up):** 45-59% estimated win rate
- **⚠️ (Warning):** <45% estimated win rate
**Mathematical Metrics:**
- **Hurst Exponent:** Real-time fractal dimension (0.000-1.000)
- **Information Flow:** Volume/price leading indicators
- **📊 VOL:** Volume leading price (accumulation/distribution)
- **💰 PRICE:** Price leading volume (momentum/speculation)
- **➖ NONE:** Balanced information flow
- **Volatility Classification:**
- **🔥 HIGH:** Above 1.5× jump threshold
- **📊 NORM:** Normal volatility range
- **😴 LOW:** Below 0.5× jump threshold
### Market Structure Section (Large Dashboard)
**Regime Classification:**
- **📈 TREND:** Hurst >0.6, momentum strategies optimal
- **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal
- **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred
**Mathematical Field Analysis:**
- **Dimensions:** Current volatility space complexity (2D-5D)
- **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00)
- **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal)
### Settings Summary Section (Large Dashboard)
**Active Configuration Display:**
- **Sensitivity:** Current master sensitivity setting
- **Lookback:** Primary analysis window
- **Theme:** Active color scheme
- **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA)
**Dashboard Sizing Options:**
- **Small:** Essential metrics only (mobile/small screens)
- **Normal:** Balanced information density (standard desktop)
- **Large:** Maximum detail (multi-monitor setups)
**Position Options:**
- **Top Right:** Standard placement (avoids price action)
- **Top Left:** Wide chart optimization
- **Bottom Right:** Recent price focus (scalping)
- **Bottom Left:** Maximum price visibility (swing trading)
---
## 🎯 SIGNAL GENERATION LOGIC
### Multi-Component Convergence System
**Component Signal Architecture:**
The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing:
**Volatility Component:**
- **Jump Detection:** Mahalanobis distance threshold breach
- **Hawkes Intensity:** Self-exciting process activation (>0.2)
- **Multi-dimensional:** Considers all volatility dimensions simultaneously
**Hurst Regime Component:**
- **Trending Markets:** Price above SMA-20 with positive momentum
- **Mean-Reverting Markets:** Price at Bollinger Band extremes
- **Random Markets:** Bollinger squeeze breakouts with directional confirmation
**Transfer Entropy Component:**
- **Volume Leadership:** Information flow from volume to price
- **Volume Spike:** Volume 110%+ above 20-period average
- **Flow Significance:** Above entropy threshold with directional bias
### Democratic Signal Weighting
**Signal Mode Implementation:**
- **Aggressive Mode:** Any single component triggers signal
- **Confluence Mode:** Minimum 2 components must agree
- **Conservative Mode:** All 3 components must align
**Momentum Confirmation:**
All signals require momentum confirmation:
- **Long Signals:** RSI >50 AND price >EMA-9
- **Short Signals:** RSI <50 AND price 0.6):**
- **Increase Sensitivity:** Catch momentum continuation
- **Lower Mean Reversion Threshold:** Avoid counter-trend signals
- **Emphasize Volume Leadership:** Institutional accumulation/distribution
- **Tensor Field Focus:** Use expansion for trend continuation
- **Signal Mode:** Aggressive or Confluence for trend following
**Range-Bound Markets (Hurst <0.4):**
- **Decrease Sensitivity:** Avoid false breakouts
- **Lower Trending Threshold:** Quick regime recognition
- **Focus on Price Leadership:** Retail sentiment extremes
- **Fractal Grid Emphasis:** Support/resistance trading
- **Signal Mode:** Conservative for high-probability reversals
**Volatile Markets (High Jump Frequency):**
- **Increase Hawkes Decay:** Recognize event clustering
- **Higher Jump Threshold:** Avoid noise signals
- **Maximum Dimensions:** Capture full volatility complexity
- **Reduce Position Sizing:** Risk management adaptation
- **Enhanced Visuals:** Maximum information for rapid decisions
**Low Volatility Markets (Low Jump Frequency):**
- **Decrease Jump Threshold:** Capture subtle movements
- **Lower Hawkes Decay:** Treat moves as independent
- **Reduce Dimensions:** Simplify analysis
- **Increase Position Sizing:** Capitalize on compressed volatility
- **Minimal Visuals:** Reduce distraction in quiet markets
---
## 🚀 ADVANCED TRADING STRATEGIES
### The Mathematical Convergence Method
**Entry Protocol:**
1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels
2. **Tensor Field Confirmation:** Verify field expansion supporting direction
3. **Portal Signal:** Wait for dimensional portal appearance
4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals
5. **Component Consensus:** Confirm 2+ components agree in Confluence mode
**Example Implementation:**
- Price approaching 21-period fractal high
- Tensor field expanding upward (bullish mathematical alignment)
- Green portal appears below price (trending regime confirmation)
- ELITE quality signal with 3/3 components active
- Enter long position with stop below fractal level
**Risk Management:**
- **Stop Placement:** Below/above fractal level that generated signal
- **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size)
- **Profit Targets:** Next fractal level or tensor field resistance
### The Regime Transition Strategy
**Regime Change Detection:**
1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds
2. **Portal Color Change:** Regime transitions show different portal colors
3. **Background Intensity:** Increasing regime background intensity
4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis)
**Trading Implementation:**
- **Trending Transitions:** Trade momentum breakouts, follow trend
- **Mean Reversion Transitions:** Trade range boundaries, fade extremes
- **Random Transitions:** Trade breakouts with tight stops
**Advanced Techniques:**
- **Multi-Timeframe:** Confirm regime on higher timeframe
- **Early Entry:** Enter on regime transition rather than confirmation
- **Regime Strength:** Larger positions during strong regime signals
### The Information Flow Momentum Strategy
**Flow Detection Protocol:**
1. **Monitor Transfer Entropy:** Watch for significant information flow shifts
2. **Volume Leadership:** Strong edge when volume leads price
3. **Flow Acceleration:** Increasing flow strength indicates momentum
4. **Directional Confirmation:** Ensure flow aligns with intended trade direction
**Entry Signals:**
- **Volume → Price Flow:** Enter during accumulation/distribution phases
- **Price → Volume Flow:** Enter on momentum confirmation breaks
- **Flow Reversal:** Counter-trend entries when flow reverses
**Optimization:**
- **Scalping:** Use immediate flow detection (2-5 bar lag)
- **Swing Trading:** Use structural flow (10-20 bar lag)
- **Multi-Asset:** Compare flow between correlated assets
### The Tensor Field Expansion Strategy
**Field Mathematics:**
The tensor field expansion indicates mathematical pressure building in market structure:
**Expansion Phases:**
1. **Compression:** Field contracts, volatility decreases
2. **Tension Building:** Mathematical pressure accumulates
3. **Expansion:** Field expands rapidly with directional movement
4. **Resolution:** Field stabilizes at new equilibrium
**Trading Applications:**
- **Compression Trading:** Prepare for breakout during field contraction
- **Expansion Following:** Trade direction of field expansion
- **Reversion Trading:** Fade extreme field expansion
- **Multi-Dimensional:** Consider all field layers for confirmation
### The Hawkes Process Event Strategy
**Self-Exciting Jump Trading:**
Understanding that market shocks cluster and create follow-on opportunities:
**Jump Sequence Analysis:**
1. **Initial Jump:** First volatility jump detected
2. **Clustering Phase:** Hawkes intensity remains elevated
3. **Follow-On Opportunities:** Additional jumps more likely
4. **Decay Period:** Intensity gradually decreases
**Implementation:**
- **Jump Confirmation:** Wait for mathematical jump confirmation
- **Direction Assessment:** Use other components for direction
- **Clustering Trades:** Trade subsequent moves during high intensity
- **Decay Exit:** Exit positions as Hawkes intensity decays
### The Fractal Confluence System
**Multi-Timeframe Fractal Analysis:**
Combining fractal levels across different periods for high-probability zones:
**Confluence Zones:**
- **Double Confluence:** 2 fractal levels align
- **Triple Confluence:** 3+ fractal levels cluster
- **Mathematical Confirmation:** Tensor field supports the level
- **Information Flow:** Transfer entropy confirms direction
**Trading Protocol:**
1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR
2. **Mathematical Support:** Verify tensor field alignment
3. **Signal Quality:** Wait for STRONG or ELITE signal
4. **Risk Definition:** Use fractal level for stop placement
5. **Profit Targeting:** Next major fractal confluence zone
---
## ⚠️ COMPREHENSIVE RISK MANAGEMENT
### Mathematical Position Sizing
**Mahalanobis Distance Integration:**
Position size should inversely correlate with mathematical field strength:
```
Position Size = Base Size × (Threshold / Mahalanobis Distance)
```
**Risk Scaling Matrix:**
- **Low Field Strength (<2.0):** Standard position sizing
- **Moderate Field Strength (2.0-3.0):** 75% position sizing
- **High Field Strength (3.0-4.0):** 50% position sizing
- **Extreme Field Strength (>4.0):** 25% position sizing or no trade
### Signal Quality Risk Adjustment
**Quality-Based Position Sizing:**
- **ELITE Signals:** 100% of planned position size
- **STRONG Signals:** 75% of planned position size
- **GOOD Signals:** 50% of planned position size
- **WEAK Signals:** No position or paper trading only
**Component Agreement Scaling:**
- **3/3 Components:** Full position size
- **2/3 Components:** 75% position size
- **1/3 Components:** 50% position size or skip trade
### Regime-Adaptive Risk Management
**Trending Market Risk:**
- **Wider Stops:** Allow for trend continuation
- **Trend Following:** Trade with regime direction
- **Higher Position Size:** Trend probability advantage
- **Momentum Stops:** Trail stops based on momentum indicators
**Mean-Reverting Market Risk:**
- **Tighter Stops:** Quick exits on trend continuation
- **Contrarian Positioning:** Trade against extremes
- **Smaller Position Size:** Higher reversal failure rate
- **Level-Based Stops:** Use fractal levels for stops
**Random Market Risk:**
- **Breakout Focus:** Trade only clear breakouts
- **Tight Initial Stops:** Quick exit if breakout fails
- **Reduced Frequency:** Skip marginal setups
- **Range-Based Targets:** Profit targets at range boundaries
### Volatility-Adaptive Risk Controls
**High Volatility Periods:**
- **Reduced Position Size:** Account for wider price swings
- **Wider Stops:** Avoid noise-based exits
- **Lower Frequency:** Skip marginal setups
- **Faster Exits:** Take profits more quickly
**Low Volatility Periods:**
- **Standard Position Size:** Normal risk parameters
- **Tighter Stops:** Take advantage of compressed ranges
- **Higher Frequency:** Trade more setups
- **Extended Targets:** Allow for compressed volatility expansion
### Multi-Timeframe Risk Alignment
**Higher Timeframe Trend:**
- **With Trend:** Standard or increased position size
- **Against Trend:** Reduced position size or skip
- **Neutral Trend:** Standard position size with tight management
**Risk Hierarchy:**
1. **Primary:** Current timeframe signal quality
2. **Secondary:** Higher timeframe trend alignment
3. **Tertiary:** Mathematical field strength
4. **Quaternary:** Market regime classification
---
## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS
### Advanced Mathematical Concepts
**Tensor Analysis in Markets:**
The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture.
**Information Theory Applications:**
Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior.
**Fractal Geometry in Trading:**
The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure.
**Stochastic Process Theory:**
The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects.
### Learning Progressive Complexity
**Beginner Mathematical Concepts:**
- **Volatility Dimensions:** Understanding multi-dimensional analysis
- **Regime Classification:** Learning market personality types
- **Signal Democracy:** Algorithmic consensus building
- **Visual Mathematics:** Interpreting mathematical concepts visually
**Intermediate Mathematical Applications:**
- **Mahalanobis Distance:** Statistical distance in multi-dimensional space
- **Rescaled Range Analysis:** Fractal dimension measurement
- **Information Entropy:** Quantifying uncertainty and causality
- **Field Theory:** Understanding mathematical fields in market context
**Advanced Mathematical Integration:**
- **Tensor Field Dynamics:** Multi-dimensional market force analysis
- **Stochastic Self-Excitation:** Event clustering and memory effects
- **Categorical Composition:** Mathematical signal combination theory
- **Topological Market Analysis:** Understanding market shape and connectivity
### Practical Mathematical Intuition
**Developing Market Mathematics Intuition:**
The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of:
- **How markets exhibit mathematical structure beneath apparent randomness**
- **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches**
- **How information flows through markets in measurable, predictable ways**
- **Why mathematical models provide probabilistic edges rather than certainties**
---
## 🔬 IMPLEMENTATION AND OPTIMIZATION
### Getting Started Protocol
**Phase 1: Observation (Week 1)**
1. **Apply with defaults:** Use standard settings on your primary trading timeframe
2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams
3. **Monitor dashboard:** Observe how metrics change with market conditions
4. **No trading:** Focus entirely on pattern recognition and understanding
**Phase 2: Pattern Recognition (Week 2-3)**
1. **Identify signal patterns:** Note what market conditions produce different signal qualities
2. **Regime correlation:** Observe how Hurst regimes affect signal performance
3. **Visual confirmation:** Learn to read tensor field expansion and portal signals
4. **Component analysis:** Understand which components drive signals in different markets
**Phase 3: Parameter Optimization (Week 4-5)**
1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument
2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe
3. **Sensitivity adjustment:** Balance signal frequency with quality
4. **Visual customization:** Optimize colors and intensity for your trading environment
**Phase 4: Live Implementation (Week 6+)**
1. **Paper trading:** Test signals with hypothetical trades
2. **Small position sizing:** Begin with minimal risk during learning phase
3. **Performance tracking:** Monitor actual vs. expected signal performance
4. **Continuous optimization:** Refine settings based on real performance data
### Performance Monitoring System
**Signal Quality Tracking:**
- **ELITE Signal Win Rate:** Track highest quality signals separately
- **Component Performance:** Monitor which components provide best signals
- **Regime Performance:** Analyze performance across different market regimes
- **Timeframe Analysis:** Compare performance across different session times
**Mathematical Metric Correlation:**
- **Field Strength vs. Performance:** Higher field strength should correlate with better performance
- **Component Agreement vs. Win Rate:** More component agreement should improve win rates
- **Regime Alignment vs. Success:** Trading with mathematical regime should outperform
### Continuous Optimization Process
**Monthly Review Protocol:**
1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown
2. **Parameter Assessment:** Evaluate if current settings remain optimal
3. **Market Adaptation:** Adjust for changes in market character or volatility
4. **Component Weighting:** Consider if certain components should receive more/less emphasis
**Quarterly Deep Analysis:**
1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid
2. **Regime Distribution:** Analyze time spent in different market regimes
3. **Signal Evolution:** Track how signal characteristics change over time
4. **Correlation Analysis:** Monitor correlations between different mathematical components
---
## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS
### Revolutionary Mathematical Integration
**First-Ever Implementations:**
1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility
2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes
3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation
4. **Democratic Component Voting:** First algorithmic consensus system for signal generation
5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels
### Advanced Visualization Innovations
**Mathematical Visualization Breakthroughs:**
- **Tensor Field Radiation:** Visual representation of mathematical field energy
- **Dimensional Portal System:** Category theory visualization for regime transitions
- **Information Flow Streams:** Real-time visual display of market information transfer
- **Multi-Layer Fractal Grid:** Intelligent spacing and projection system
- **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength
### Practical Trading Innovations
**Trading System Advances:**
- **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence
- **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality
- **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering
- **Component Performance Tracking:** Real-time monitoring of algorithmic component success
- **Field-Strength Position Sizing:** Mathematical volatility integration for risk management
---
## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS
### Mathematical Model Limitations
**Understanding Model Boundaries:**
While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations:
- **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements
- **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely
- **Model Risk:** Complex models can fail during unprecedented market conditions
- **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions
### Proper Implementation Guidelines
**Risk Management Requirements:**
- **Never Risk More Than 2% Per Trade:** Regardless of signal quality
- **Diversification Mandatory:** Don't rely solely on mathematical signals
- **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence
- **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters
**Realistic Expectations:**
- **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes
- **Learning Curve Required:** Complex mathematical concepts require time to master
- **Market Adaptation Necessary:** Parameters must evolve with changing market conditions
- **Continuous Education Important:** Understanding underlying mathematics improves application
### Ethical Trading Considerations
**Market Impact Awareness:**
- **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants
- **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure
- **Sharing Knowledge:** Consider educational contributions to trading community
- **Fair Market Participation:** Use mathematical advantages responsibly within market framework
### Professional Development Path
**Skill Development Sequence:**
1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application
2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals
3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights
4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution
---
## 🔮 CONCLUSION
The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability.
### Mathematical Innovation Legacy
This indicator establishes new paradigms in technical analysis:
- **Tensor analysis for market volatility understanding**
- **Stochastic self-excitation for event clustering prediction**
- **Information theory for causality-based trade generation**
- **Democratic algorithmic consensus for signal quality enhancement**
- **Mathematical field visualization for intuitive market understanding**
### Practical Trading Revolution
Beyond mathematical innovation, the TMAE transforms practical trading:
- **Quality-rated signals replace binary buy/sell decisions**
- **Regime-adaptive strategies automatically optimize for market personality**
- **Multi-dimensional risk management integrates mathematical volatility measures**
- **Visual mathematical concepts make complex analysis immediately interpretable**
- **Educational value creates lasting improvement in trading understanding**
### Future-Proof Design
The mathematical foundations ensure lasting relevance:
- **Universal mathematical principles transcend market evolution**
- **Multi-dimensional analysis adapts to new market structures**
- **Regime detection automatically adjusts to changing market personalities**
- **Component democracy allows for future algorithmic additions**
- **Mathematical visualization scales with increasing market complexity**
### Commitment to Excellence
The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value.
### Trading with Mathematical Precision
In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals.
By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics.
### Final Perspective
Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure.
Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior.
Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE.
*"In mathematics, you don't understand things. You just get used to them." - John von Neumann*
*With the TMAE, mathematical market understanding becomes not just possible, but intuitive.*
— Dskyz, Trade with insight. Trade with anticipation.
Protected Pivots Points by RiotwolftradingProtected Pivots Points by Riotwolftrading
---
You have an advanced visual tool designed for traders who want to identify and manage key price levels with maximum precision.
This script detects protected pivots (significant highs and lows) and marks them with horizontal lines on the chart. These lines automatically extend for a fixed number of bars or until price invalidates the level with a closing break.
---
🚀 What makes this indicator special?
---
✅ Protected pivot detection:
The indicator identifies protected highs and lows using a fixed pivot strength
✅ Wick break detection (liquidity sweep visualization):
When a wick crosses the pivot level **without the candle closing beyond the level, the indicator automatically changes the line’s color and style.
👉 This immediately shows the trader that the level was tested but remains structurally valid.
✅ Highly customizable visuals:
* Choose whether to show color for protected highs, lows, or wick break levels.
* Set your own colors, line styles (solid, dashed, dotted), and line widths.
---
### 🌟 Why is wick break detection so valuable?
---
💡 Instant context on price action:
No need to manually check every candle to see if a level was barely tested. The indicator changes the line’s appearance automatically, so you can focus on decisions.
💡 Clear distinction between untouched levels and tested levels:
* A level with no wick test is pristine support/resistance.
* A level tested by a wick but not invalidated is still valid — but may have been swept for liquidity.
💡 Crucial for precision trading strategies:
This is particularly important for strategies that rely on:
✅ Liquidity sweeps / stop hunts.
✅ Reversals from tested zones.
✅ Smart Money Concepts (SMC).
✅ ICT concepts, breakers, Quasimodo, BOS/MSS.
The wick break visualization helps filter false breakouts and highlights areas where institutional players may have stepped in.
💡 Avoid premature exits or entries:**
The color/style change tells you a level was tested but not broken, so you avoid overreacting to wick activity.
---
### ⚡ Example use case**
Imagine a protected low line:
🔹 Price dips and its wick touches the level — the line changes color (e.g. violet solid line).
🔹 The level is still valid because the close didn’t break it.
🔹 This could signal a stop hunt or liquidity grab, with a possible reversal opportunity right at that level.
---
### 🧭 **Why most pivot indicators don’t offer this**
Most pivot indicators:
❌ Simply mark the level and remove it after a close break.
❌ Don’t distinguish between a wick test and a true break.
🌟 **This indicator does — giving traders an extra layer of market insight.**
---
### ⚠ **Disclaimer**
This indicator is a visual aid to help identify key levels and price reactions. It does **not** generate buy or sell signals and should be used alongside your trading analysis and strategy.
---
SMT - JimmyTrades🔧 SMT – JimmyTrades: Publication Rules and User Guide
📌 What This Script Does
This script detects Smart Money Traps (SMT) Divergences between the instrument on your chart and a comparative symbol (default: ES). It automatically plots both confirmed and unconfirmed bullish and bearish SMT setups across multiple timeframes.
These SMT divergences can help traders:
Identify potential reversal points
Confirm high-probability entries in line with smart money behavior
Enhance bias when confluence aligns with other market structure or liquidity factors
⚙️ Important Settings
Please make sure you correctly configure the following inputs:
Symbol: The comparative asset to check divergence against. Common examples: ES, NQ, SPX.
Session Type: Ensure this matches your chart’s session setting: Extended or Regular.
Adjustment Type: Match this to your chart (None, Dividends, or Splits) under TradingView’s chart settings (bottom-right corner).
Pivot Lookback: Controls the sensitivity of divergence detection (default is 15). Higher values reduce signal frequency.
Timeframes: You can enable up to six timeframes independently for SMT scanning.
🟢 Bullish SMT Signals
Bullish SMTs are identified when price on your chart makes a lower low, but the comparative symbol (e.g., ES) does not, suggesting potential accumulation or trap liquidity.
🔴 Bearish SMT Signals
Bearish SMTs are flagged when your chart makes a higher high, while the comparative symbol fails to do so, hinting at distribution or a stop run setup.
📈 How to Use This Script
Add the indicator to your chart.
Set the correct comparative symbol (e.g., ES for NQ, SPX for SPY, etc.).
Choose your preferred timeframes.
Watch for unconfirmed SMTs (dotted lines) as potential early warnings.
Look for confirmed SMTs (solid lines) once price respects the divergence zone for several bars.
Combine with structure, liquidity sweeps, killzones, and high-impact news for higher confluence.
🧠 Best Practices
Use SMT signals as part of a broader trade plan—not standalone entries.
Focus on SMTs forming after liquidity sweeps or during session opens (London/NY).
Combine with your higher-timeframe bias, breaker blocks, or Pegasus/Unicorn entry models.
⚠️ Limitations
Historical backtest may show perfect SMTs—real-time confirmation requires patience.
SMTs may not play out without proper context—avoid blindly entering based on signal alone.
This script is not financial advice—use at your own discretion and always manage risk.
Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction
Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts.
In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum.
In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation.
For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline.
However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones.
The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form.
Bullish Sequential SMT :
Bearish Sequential SMT :
🔵 How to Use
The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it.
This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity.
🟣 Bullish Sequential SMT
In the previous quarter, both assets form a similar swing low.
In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it.
The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure.
This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low.
🟣 Bearish Sequential SMT
In the previous quarter, both assets form a similar swing high.
In the current quarter, one asset (e.g., NQ) breaks above that high.
The other asset (e.g., ES) fails to reach that high, remaining below it.
This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high.
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All: Every signal triggers an alert.
Once Per Bar: Alerts once per bar regardless of how many signals occur.
Per Bar Close: Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics.
By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones.
Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
Flat Tops/Bottoms aka Devil's MarkThis Pine script indicator is designed to visually depict price inefficiencies, as identified by Flat Top/Bottom Candles (aka Devil's Mark). A Flat Top/Bottom Candle is a scenario where there is an absence of a wick at the top or the bottom of the candle. These represent zones of inefficiency and will frequently act as magnets for price that the market will strive to rebalance in accordance with ICT principles.
Relevance:
Flat Top/Bottom Candles are zones where price delivery didn't provide opportunity for manipulation representing an inefficiency that the market will seek to rebalance. Consequently, these zones can provide good targets for entries in the opposite direction or take profit targets for previous entries in the direction of the Flat Top/Bottom Candle.
How It Works:
The indicator keeps track of all Flat Top/Bottom Candles from the beginning of the available history. It automatically removes all mitigated Flat Top/Bottom Candles, which are situations where the price has gone past the candle without a wick.
Configurability:
You can configure the colors, style & width of the lines used to represent flat top/bottom candles.
What makes this indicator different:
Designed with high performance in mind, to reduce impact on chart render time.
Only keeping the currently valid flat top/bottoms on the chart.
Buffett Quality Score [Industry]The Buffett Quality Score is a composite indicator developed to assess the financial health and quality of companies operating within the Industrial sector. It combines a carefully selected set of financial ratios, each weighted with specific thresholds, to provide a comprehensive evaluation of company performance.
Selected Financial Ratios and Criteria:
1. Return on Assets (ROA) > 5%
ROA measures a company's profitability by evaluating how effectively it utilizes its assets. An ROA exceeding 5% earns 1 point.
2. Debt to Equity Ratio < 1.0
The Debt to Equity Ratio reflects a company's leverage. A ratio below 1.0 earns 1 point, indicating lower reliance on debt financing.
3. Interest Coverage Ratio > 3.0
The Interest Coverage Ratio assesses a company's ability to meet interest payments. A ratio above 3.0 earns 1 point, indicating strong financial health.
4. Gross Margin % > 25%
Gross Margin represents the profitability of sales after deducting production costs. A margin exceeding 25% earns 1 point, indicating better pricing power.
5. Current Ratio > 1.5
The Current Ratio evaluates a company's liquidity by comparing current assets to current liabilities. A ratio above 1.5 earns 1 point, indicating sufficient short-term liquidity.
6. EBITDA Margin % > 15%
EBITDA Margin measures operating profitability, excluding non-operating expenses. A margin exceeding 15% earns 1 point, indicating efficient operations.
7. Altman Z-Score > 2.0
The Altman Z-Score predicts bankruptcy risk based on profitability, leverage, liquidity, solvency, and activity. A score above 2.0 earns 1 point, indicating financial stability.
8. EPS Basic One-Year Growth % > 5%
EPS One-Year Growth reflects the percentage increase in earnings per share over the past year. Growth exceeding 5% earns 1 point, indicating positive earnings momentum.
9. Revenue One-Year Growth % > 5%
Revenue One-Year Growth represents the percentage increase in revenue over the past year. Growth exceeding 5% earns 1 point, indicating healthy sales growth.
10. Piotroski F-Score > 6
The Piotroski F-Score evaluates fundamental strength based on profitability, leverage, liquidity, and operating efficiency. A score above 6 earns 1 point, indicating strong fundamental performance.
Score Calculation Process:
Each company is evaluated against these criteria.
For every criterion met or exceeded, 1 point is assigned.
The total points accumulated determine the Buffett Quality Score out of a maximum of 10.
Interpretation of Scores:
0-4 Points: Indicates potential weaknesses across multiple financial areas.
5 Points: Suggests average performance based on the selected criteria.
6-10 Points: Signifies strong overall financial health and quality, meeting or exceeding most of the performance thresholds.
Research and Development:
The selection and weighting of these specific financial ratios underwent extensive research to ensure relevance and applicability to the Industrial sector. This scoring methodology aims to provide valuable insights for investors and analysts seeking to evaluate company quality and financial robustness within the Industrial landscape.
The information provided about the Buffett Quality Score is for educational purposes only. This document serves as an illustrative example of financial evaluation methodology and should not be construed as financial advice, investment recommendation, or a guarantee of future performance. Actual results may vary based on individual circumstances and specific factors affecting each company. We recommend consulting qualified professionals for personalized financial advice tailored to your individual situation.
Swing Failure Pattern (SFP) [LuxAlgo]The Swing Failure Pattern indicator highlights Swing Failure Patterns (SFP) on the user chart, a pattern occurring during liquidity generation from significant market participants.
A Confirmation level used to confirm a trend reversal is also included. Users can additionally filter out SFP based on a set Volume % Threshold .
🔶 USAGE
Swing failure patterns occur when candle wicks exceed (above/below) a recent swing level but close back below/above it, and occur from more significant market participants engineering liquidity. This pattern can be indicative of a potential trend reversal.
A label and an accentuated wick line highlight the SFP (both can be disabled).
Using a higher "Swings" period will not return different SFP but will however potentially reduce their detection rate.
🔹 Confirmation Level
The confirmation level is the highest point between the previous swing and SFP for a bullish SFP, and the lowest point for a bearish SFP. This level allows confirming a trend reversal after an SFP once the price breaks it.
A small triangle will be displayed when the price closes beyond the confirmation level.
A more reactive and contrarian approach could use the SFP as an entry point, and the confirmation level for taking (partial) profit, or stop loss. The example below shows a possible scenario:
🔹 Volume % Threshold
During the occurrence of an SFP, the Volume % Threshold option allows comparing the cumulative volume outside the Swing level to the total volume of the candle. The following options are included:
Volume outside swing < Threshold: Volume outside the Swing level needs to be lower than x % of total candle volume. Prevent excessive liquidity generation.
Volume outside swing > Threshold: Volume outside the Swing level needs to be higher than x % of total candle volume. Requires more significant liquidity to be generated.
None: No extra filter is applied
Note that in the above case, the left SFP is no longer highlighted because the volume above the swing level was higher than the 25% threshold of the total volume.
When we change the setting to "Volume outside swing > Threshold", we get the reversed situation.
The "Volume outside Swing level" is obtained using intrabar - Lower TimeFrame (LTF) data.
At the intrabar (LTF) level, there are a maximum of 100K bars available. When using the Volume % Threshold filter, a vertical line will highlight the maximum period during which intrabars are available.
🔶 DETAILS
🔹 LTF Settings
When 'Auto' is enabled (Settings, LTF), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error.
Examples with current Daily TF (when Premium is enabled):
500 : 3-minute LTF
1500 (default): 1-minute LTF
5000: 30 seconds LTF (1 minute if Premium is disabled)
The concerning LTF can be seen at the right-top (default) corner.
🔶 SETTINGS
Swings: Period used for the swing detection, with higher values returning longer-term Swing Levels.
Bullish SFP: enable/disable bullish Swing Failure Patterns.
Bearish SFP: enable/disable bearish Swing Failure Patterns.
🔹 Volume Validation
Validation:
Volume outside swing < Threshold: The volume outside the swing level needs to be lower than x % of the total volume.
Volume outside swing > Threshold: The volume outside the swing level needs to be higher than x % of the total volume.
None: No extra validation is applied.
Volume % Threshold: % of total volume as threshold.
Auto + multiple: Adjusts the initial set LTF
LTF: LTF setting
Premium: Enable when your TradingView plan is Premium or higher
🔹 Dashboard
Show Dashboard: Display applied Lower Timeframe (LTF)
Location: Location of the dashboard
Size: Size of the dashboard
🔹 Style
Swing Lines
Confirmation Lines
Swing Failure Wick
Swing Failure Label
Lines / Labels: Color for lines and labels
SFP Wicks: Color for SFP wick line
[KVA] ICT Dealing rangesNaive aproach of Dynamic Detection of Dealing Ranges:
The script dynamically identifies dealing ranges based on sequences of upward or downward price movements. It uses arrays to track the highest highs and lowest lows after detecting two consecutive up or down bars, a fundamental step towards understanding market structure and potential shifts in momentum.
ICT Concept: Order Blocks & Fair Value Gaps. This aspect can be linked to the identification of order blocks (bullish or bearish) and fair value gaps. Order blocks are essentially the last bearish or bullish candle before a significant price move, which this script could approximate by identifying the highs and lows of potential reversal zones.
Red and Green Ranges for Bullish and Bearish Movements:
The script separates these movements into red (bearish) and green (bullish) ranges, effectively categorizing potential areas of selling and buying pressure.
ICT Concept: Liquidity Pools. Red ranges could be indicative of areas where selling might occur, potentially leading to liquidity pools below these ranges. Conversely, green ranges might indicate potential buying pressure, with liquidity pools above. These areas are critical for ICT traders, as they often represent zones where price may return to "hunt" for liquidity.
Horizontal Lines for High and Low Points:
The indicator draws horizontal lines at the high and low points of these ranges, offering visual cues for significant levels.
ICT Concept: Breaker Blocks & Mitigation Sequences. The high and low points of these ranges can be seen as potential breaker blocks or areas for future mitigation sequences. In ICT terms, breaker blocks are areas where institutional orders have overwhelmed retail stop clusters, creating potential entry points for trend continuation or reversal. The high and low points marked by the indicator could serve as references for these sequences, where price might return to retest these levels.
Customizability and Historical Depth:
With inputs like rangePlot and maxBarsBack, the indicator allows for customization of the number of ranges to display and how far back in the chart history it looks to identify these ranges. This flexibility is crucial for tailoring the analysis to different trading strategies and timeframes.
ICT Concept: Market Structure Analysis. The ability to adjust the depth and number of ranges plotted caters to a detailed market structure analysis, an essential component of ICT methodology. Traders can adjust these parameters to better understand the distribution of buying and selling pressure over time and how actions have shaped price movements.
FVG in MACROGuided by ICT tutoring, I created this versatile indicator to scan the FVG in MACRO time.
This indicator combines the MACRO time with the Fair value GAP (FVG) in an alternative way, showing a simple way of viewing the FVG within the MACRO time, so you can have a clearer view of which direction the MACRO is influencing
''MACRO is a delivery time frame of the interbank price in which it undergoes a series of controls and is likely to move towards liquidity.''
The user has the possibility to:
- Choose the relevant MACRO time
- Choose whether to view all FVGs in the MACROS
- Choose to view only the First FVG at each MACRO
The indicator should be used as shown by the ICT in its concepts, during the MACRO time the price can consolidate or can head towards liquidity.
The probability that the direction is correct increases with respect for the FVG, in this way it is possible to evaluate the entry zone in the FVG and the Take profit zone for Liquidity
As in the following example:
Liquidation Levels V2 (Ultimate Edition)!(version 2.0) - Covers ALL pairs from Binance futures (USDT)!
The Liquidations Level Indicator is a new, fresh and innovative indicator that adds a new perspective into the charts.
The indicator plots (in real time !), the liquidation points/levels that are "created" for every new position that is currently opened in futures trading of a cryptocurrency.
The calculation and the plots work for both directions (either longs or shorts).
How it is done: We calculate all new large positions opened by other traders, by taking into account the Open Interest from major exchanges.
For each new large position that is opened, the indicator plots in the chart the liquidation levels for the specific position per leverage level (100x, 50x or 25x).
This is exactly what the Market Maker knows!
In crypto, the Market Maker, tends to push the price to these levels, making these levels targets.
You could combined it with any other Technical Analysis indicator you used to trade.
Add it to your favorites indicators and enjoy the price action. You will soon realize that our indicator can be a game-changer indicator !
Soon, we will add some here in TradingView, some ideas and strategies that we have already used with this indicator with success.
Here, a new game starts for you..and the Market Maker. Don't trade against him, trade with him (!)
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Notes:
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1) Second version supports allt the USDT crypto that are tradable on Binance futures (at least).
Right now you can use any of them (e.g. BTC , ETH, BNB, XRP, ADA, SOL, DOT, DOGE, MATIC, LTC, ATOM, , etc. )
paired with one of the above stablecoins:
USD, USDT, USDC , or BUSD.
2) You can adjust the lower limit to take into account for new positions (total amount is in millions USD/USDT/ USDC ), so you can filter the positions and display only the large ones.
This adjustment is up to you and it is different for each coin, as they have huge differences in Total Market Cap and the Total amount trading per day.
BTC is almost always first, and then ETH, Luna, etc. From our experience a amount of 5m in USD fits for BTC , 2m USD for ETH, and you can of course switch it.
3) Don't use the indicator with any other pair, except the above ( /USD, /USDT, /BUSD or / USDC ). The Open Interest is calculated per USD, so if you project this over a crazy pair (e.g. BTC /LTC) it will not project anything.
4) Initial version supports reading the Open Interest from Binance. Upcoming versions will expand this, as an option.
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Extras:
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This was our first effort to build something for the crypto community, that can be useful and of course free.
We hope we like it. If you like the indicator, just spread it.
SFC Smart Money Manipulation - MTF ZonesThis indicator shows the most important manipulated zones - true support and resistance.
The indicator can show the zones from different time frames - 1H, 4H, D and the current TF.
Order Block definition - small candle or few consecutive candles, where banks place buy and sell orders in order to manipulate the price. After price is manipulated and moved in one direction, the banks are in draw down, that is why they manipulate the price one more time before the true move, retesting these candles (closing losing positions).
FU candles
FU candles are most manipulated candles and create very strong reaction zones. These are the true zones, where the banks place their orders.
Why they are so strong? The answer is very simple - these candles clear the liquidity from the previous ones. After the liquidity is cleared ( all stop losses/pending orders are triggered), price reveal the true direction and move very fast.
FU candles are type of Order Blocks - the most powerful one.
Because the most volume is in the body of the order block. The indicator shows not only the FU candle, but the body of the order block.
There are two types of FU candles :
(only full FU candles are displayed as zones, because they are much significant)
1) Full fu, where the current candle completely engulf the previous one, after taking the liquidity. (displayed as F)
2) Current candle only take liquidity from the previous one, but failed to engulf it. (displayed as A)
9 day simple moving average is also displayed. When the price form Fu candle above/under the MA, there is a better chance for reversal.
When FU candles are retested the transparency will change, showing that the zones may have less impact.
Order Blocks
Only the current order blocks are displayed. Price react very often from the 50% level, that is why this level is also displayed.
Rejections
Rejections are doji candles or candles with big wicks. These rejections very often lead to reversals or deep pullbacks. But before the true move, price test the rejection levels. The retest is not always, but very often of the 50% of the wick.
The rejections are very important price zone.
The indicator can show the zones from different time frames - 1H, 4H, D and the current TF. When wicks are retested the transparency and colour will change, showing that the wicks may have less impact or no more impact.
Settings
-The colour and transparency of the zones can be changed.
- Multi time frames zones could be disabled.
- Doji settings
- Length of the moving average
How to use
If price reach one of the displayed zones. The trader should be prepared for price reaction. This reaction could lead to reversal, pull back or trading range.
The trader should have bias from the higher time frames and watch for signs of manipulations on smaller time frames.
Demand & Supply Zones [eyes20xx]Demand & Supply Zones
This indicator helps to identify large moves driven by institutions.
What qualifies as a zone?
If the price moves (open to close) by more than a certain % in one candle or in a bullish / bearish run of candles, the zone is marked as a Demand or Supply zone .
0.8% is good for Crypto and Forex might be better with 0.4%. Play around with the % to match your requirements.
Active zones
A zone remains active until it is hit by the price. When it becomes inactive, the zone background becomes transparent.
Zone lines
Lines are displayed if the zone is active and within a certain % of the close. 3% is a good setting for Crypto.
A maximum of two lines are displayed for each zone type.
BITCOIN KILL ZONES v2Kill Zones
Kill zones are really liquidity events. Many different market participants often come together and act around these events. The activity itself may be event driven (margin calls or options exercise related activity), portfolio management driven (buy-on-close and asset allocation rebalancing orders) or institutionally driven (larger players needing liquidity to get filled in size) or a combination of any/all three. The point is, this intense cross current of activity at a very specific point in time often occurs near significant technical levels and trends established coming out of these events often persist until the next Kill Zone in approached/entered.
Specifically, there are three Kill Zones and each has its own importance/significance.
1. Asian Kill Zone (1900 - 2300 EST) Considered the "institutional" zone, this zone represents both the launch pad for new trends and also too a reloading area from the post American session. It is the start of a new day (or week) for the world and as such it makes sense this zone will often set the tone for the rest of the world's trading day. Since it is very wide (4 hours) one should pay attention to the Tokyo open (2100 EST) the Beijing open (2120 EST) and the Sydney open (0650 EST previous day).
2. London Kill Zone (0200 - 0400 EST) Considered the center of the financial universe for more than 500 years, Europe still carries a lot of influence within the banking world. Many larger players use the Euro session to establish their positions. As such, the London open often sees the most significant trend establishment activity through any given trading day. Indeed, it has been suggested 80% of all weekly trends are established through Tuesday's London Kill Zone.
3. New York Kill Zone (0830 - 1030 EST) The United States is still by far the world's largest economy and so by default New York's open carries a lot of weight and often comes with a big injection of liquidity. Indeed, most of the world's trade-able assets are priced in US dollars which gives even more significance to political and economic activity within this region. Because it comes relatively late in the globe's trading day, this Kill Zone often sees violent price swings within it's first hour leading to the time tested adage "never trust the first hour of North American trading.
Additional notes:
It has become apparent these Kill Zones are evolving over time and the course of world history. Since the end of the second world war, New York has slowly encroached on London's place as the global center for commercial banking. So much so through the later part of the 20th century New York was considered indeed, the new center of the financial universe. With the end of the cold war that leadership seems to have shifted back toward Europe and away from The United States. Additionally, Japan has slowly lost its former predominance within the global economic landscape while Beijing's has risen dramatically.
Only time will tell how these kill zones will evolve given each region's ever changing political, economic and socioeconomic influences.
Trading Notes:
If you have specific levels of interest odds are the bigger players have the same levels too. If it is indeed a solid level, look for price to trade to your level through the kill zone because the zone is a liquidity event where the bigger players can find enough size to get their big orders filled.
Try to avoid taking positions heading into Kill Zones and look for confirmation of your levels coming out of the event. For the more advanced trader, look to take positions on those level hits through the zone but understand higher time frame players often have far deeper pockets then day traders and can endure far more volatility then us little guys.
Thanks for the contribution to @CRInvestor and @ICT_MHuddleston
FVG and OB🧠 Concept Behind the “FVG and OB” Indicator
This indicator merges two core ICT (Inner Circle Trader) concepts — Fair Value Gaps (FVGs) and Order Blocks (OBs) — into one clean, dynamic visualization tool.
It is designed for professional price-action traders who want to track institutional imbalances and smart money footprints directly on the chart.
🟩 FAIR VALUE GAP (FVG)
An FVG represents an imbalance in price caused by aggressive buying or selling where the market fails to offer two-way liquidity.
It’s typically created when a strong candle leaves a visible “gap” between the previous candle’s high and the next candle’s low (for bullish FVG), or vice versa (for bearish FVG).
In this indicator:
🟢 Bullish FVGs are drawn when low > high
🔴 Bearish FVGs are drawn when high < low
Each gap box dynamically extends to the right until it is mitigated (partially or fully filled).
You can choose between two mitigation modes:
Boundary Touch (default): The FVG is considered mitigated once price touches the gap boundary.
Full Fill: The FVG remains active until the entire gap range is filled.
This gives you real-time awareness of whether liquidity has been rebalanced — a key ICT concept in identifying market turning points.
🟥 ORDER BLOCK (OB)
An Order Block represents the last opposing candle before a strong impulsive move.
It is where institutional traders likely executed large block orders, creating supply or demand zones that price often revisits.
In this script, an OB is automatically drawn:
🟥 Bearish OBs form after a strong down move (usually following a bearish FVG).
🟩 Bullish OBs form after a strong up move (usually following a bullish FVG).
Key features:
The indicator can detect OBs in two ways:
Only FVG’s First Candle: A stricter mode aligning OB formation directly with FVG events.
Classic (Last Opposite Color): A more traditional ICT-style detection that finds the last candle of the opposite color within a defined lookback range.
OBs auto-expand with the next candle’s wick, so any extra high/low beyond the original OB is included by default.
Each OB remains extended until mitigated — when price revisits and closes the imbalance.
⚙️ CONTROL & CUSTOMIZATION
You can control the entire behavior and visualization through the settings panel:
Display Mode: Show only FVGs, only OBs, or both simultaneously.
Mitigation Mode: Choose how strict the FVG closure logic should be.
Body-Only Option: Restrict OB calculation to candle bodies instead of wicks for cleaner structure.
Individual Color Settings: Customize border and fill colors for each block type.
Lookback Depth: Define how far back the system searches for valid OB structures.
The result is a clean, layered representation of institutional footprints — with automatic cleanup logic that prevents chart clutter and keeps only active zones visible.
📊 PRACTICAL APPLICATION
Use this indicator to:
Identify imbalances left by aggressive moves (potential retracement targets).
Confirm confluences between FVGs and OBs — the overlap areas often mark powerful reaction zones.
Track mitigation progress as price revisits those zones.
Refine entry timing when price reacts to unmitigated OBs or fills the last untested FVG.
🧩 TECHNICAL DESIGN
Built in Pine Script v5 with fully modular code architecture.
FVG and OB modules can be toggled or used independently.
Uses arrays for efficient management of multiple boxes.
Auto-updates in real-time and mitigates per-bar to minimize lag.
Designed for multi-timeframe backtesting compatibility.
💡 Summary
This tool visually bridges two of the most powerful Smart Money Concepts —
FVG = imbalance zones and OB = institutional origin blocks.
Together, they help traders map out liquidity flows, identify premium/discount zones, and anticipate where price is likely to react next.
🧑💻 Credits
Based on ICT & Smart Money Concepts, rewritten in modular PineScript with precision mitigation logic.
# For educational and analytical purposes only.
Turtle soupHi all!
This indicator will show you turtle soups. The logic is that pivots detected from a higher timeframe, with the pivot lengths of left and right in the settings, will be up for 'grabs' by price that spents more than one candle above/below the pivot.
If only one candle is beyond the pivot it's a liquidity sweep or grab. Liquidity sweeps can be discovered through my script 'Market structure' (), but this script will discover turtle soup entries with false breakouts that takes liquidity.
The turtle soup can have a confirmation in the terms of a change of character (CHoCH). The turtle soup strategy usually comes with some sort of confirmation, in this case a CHoCH, but it can also be a market structure shift (MSS) or a change in state of delivery (CISD).
Turtle soups (pivots that have been 'taken') within a turtle soup will also be visible (but not have a turtle).
Alerts are available for when a turtle soup setup occurs and you can set the alert frequency of your liking (to get early signals with a script that might repaint or wait for a closed candle).
I hope that this description makes sense, tell me otherwise. Also tell me if you have any improvements or feature requests.
Best of trading luck!
The chart in the publication contains a 4 hour chart with a daily timeframe and confirmations with CHoCH.
Gold–Bitcoin Correlation (Offset Model) by KManus88This indicator analyzes the correlation between Gold (XAU/USD) and Bitcoin (BTC/USD) using a time-offset model adjustable by the user.
The goal is to detect cyclical leads or lags between both assets, highlighting how capital flows into Gold may precede or follow movements in the crypto market.
Key Features:
Dynamic correlation calculation between Gold and Bitcoin.
Adjustable offset in days (default: 107) to fine-tune the temporal shift.
Automatic labels and on-chart visualization.
Compatible with multiple timeframes and logarithmic scales.
Interpretation:
Positive correlation suggests synchronized trends between both assets.
Negative correlation signals divergence or rotation of liquidity.
The time-offset parameter helps estimate when a shift in Gold could later reflect in Bitcoin.
Recommended use:
For macro-financial and global liquidity cycle analysis.
As a complementary tool in cross-asset momentum strategies.
© 2025 – Developed by KManus88 | Inspired by monetary correlation studies and global liquidity cycles.
This script is for educational purposes only and does not constitute financial advice.
FVG Zones with Signals█ OVERVIEW
"FVG Zones with Signals" is a technical analysis tool that identifies Fair Value Gaps (FVG) on the chart and draws customizable zones in the form of boxes. It is ideal for traders using price action and market structure strategies, helping to identify potential imbalance zones and trading opportunities based on breakout and exit signals. With flexible size filter settings, box styles, and signal options, the indicator ensures clarity and precision on the chart.
█ CONCEPTS
The indicator is designed to identify potential entry points for trades based on FVG breakouts or retests. For chart clarity, a size filter for FVGs is included, based on a multiplier of the average candle size over a specified period.
Why are FVGs important? FVG zones represent areas of market imbalance, often attracting price back to "fill" the gap. Larger gaps (with a higher size multiplier) have a greater chance of being retested, as they indicate deeper imbalances—leaving more unexecuted orders in those zones, which attracts liquidity. Market makers and institutions often return to these levels to "refresh" liquidity before further moves. However, not every large FVG is retested quickly—in strong trends, smaller imbalances may be ignored, and the location (e.g., near swing highs/lows) is critical for retest probability.
█ FEATURES
- FVG Detection: Identifies bullish and bearish FVGs based on size filters (Candle Size Period and FVG Size Multiplier), with automatic initialization of historical gaps up to 500 candles back.
- Customizable Boxes: Draws FVG boxes with adjustable border colors, background gradients, border styles (solid, dashed, dotted), border widths, and transparency for both the background and the 50% FVG midline.
- Breakout and Exit Signals: Generates "Break" signals (green upward triangle for breakouts above bearish FVG, red downward triangle for breakouts below bullish FVG) and "Exit" signals (circles for exiting the zone), with options to select signal types (Break, Exit, or Both). A break signal causes the box to disappear, leaving a triangle as a trace of the breakout, which may serve as a signal to open a position. Exit signals (circles) may also indicate entry opportunities but require additional confirmation, such as alignment with the main trend.
- Midline: Automatically draws a dashed line at the 50% FVG level with adjustable transparency, aiding in assessing price reactions within the zone.
- Box Limitation: Automatically removes old or inactive FVGs after 500 candles to avoid chart clutter.
- Alerts: Built-in alerts for all signal types, including price and FVG type descriptions.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
- FVG Settings: Adjust Candle Size Period (default 20) and FVG Size Multiplier (default 1) to filter out small gaps—higher values generate fewer but more significant FVGs.
- Box Settings: Configure colors and styles for bullish (green) and bearish (red) boxes, including background transparency (default 80) and midline transparency.
- Signal Settings: Select signal types (Break, Exit, or Both) in Signal Type. Breakout signals appear after a candle closes outside the zone, while exit signals appear when exiting an FVG without a full breakout.
- Styling: Customize signal colors (green for buy/up, red for sell/down) and shape sizes.
Interpreting Signals:
- Break Up Signal: A green triangle below the bar indicates a breakout above a bearish FVG, suggesting potential continuation of an uptrend.
- Break Down Signal: A red triangle above the bar indicates a breakout below a bullish FVG, suggesting potential continuation of a downtrend.
- Exit Up/Down Signal: A green/red circle indicates an exit from an FVG without a full breakout, which may signal the end of a correction or preparation for a reversal.
- FVG Zones: If the price returns to an FVG and fills the gap, it may indicate equilibrium; an unfilled gap often leads to a retest.
- Use signals in conjunction with other technical analysis tools for confirmation, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze FVGs from higher timeframes—these zones act as stronger imbalance levels and carry greater structural significance.
Exit signals (retests without breakouts) tend to be most effective when traded in line with the current trend.
█ APPLICATIONS
- Price Action Trading: Use FVG zones as dynamic support and resistance levels. In an uptrend, look for buying opportunities in bullish FVGs, where price often tests the gap before continuing. Combining with RSI, MACD, or Fibonacci levels enhances the significance of zones.
- Breakout Strategies: Trade based on breakout signals from FVGs. A buy signal after breaking a bearish FVG may indicate a strong upward impulse, especially when supported by a rising MACD or RSI exiting oversold conditions.
Larger FVG gaps (higher multiplier) have a greater chance of retest, as they indicate deeper imbalances.
█ NOTES
- Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize size filters for your trading style.
- The indicator initializes historical FVGs up to 500 candles back, which may slow loading on longer charts.
- For best results, use on high-liquidity markets where FVGs are more frequently retested.
- In consolidation zones, the indicator may generate more false signals, so additional confirmation is recommended.
Session Open Candle MarkerThe "Session Open Candle Marker" is a Pine Script indicator designed for forex and futures traders using Smart Money Concepts (SMC) and RP Profits-inspired strategies. It marks the 15-minute opening range candles for the Asia, London, and NY sessions, where institutional "big players" often gather liquidity. Each session’s range is drawn as a rectangle with a customizable midpoint line, ideal for spotting breakouts, retests, and liquidity sweeps.
Features
Session Open Ranges: Plots rectangles for the 15m open candles of Asia (03:00 EEST), London (10:00 EEST), and NY (15:00 EEST), corresponding to 01:00, 08:00, and 13:00 GMT+1.
Customizable Visualization:
Toggle each session (Asia, London, NY) on/off.
Independent high/low label toggles for each session.
Adjustable rectangle color, midpoint line color, style (solid/dashed/dotted), and width.
Customizable rectangle duration (default: 96 bars, ~24 hours on 15m).
Timezone Flexibility: Default times are set for EEST (UTC+3). Adjust session inputs for your chart’s timezone (e.g., GMT+1: Asia 01:00, London 08:00, NY 13:00; UTC: Asia 00:00, London 07:00, NY 12:00).
Clean Design: Rectangles and labels update dynamically, with proper cleanup to avoid clutter.
Usage:
Setup: Add to a 15m chart (e.g., EURUSD, ES1!). Check your chart’s timezone (Chart Settings > Symbol > Timezone) and adjust session times if needed.
Settings:
Toggle sessions and labels to focus on desired ranges (e.g., London and NY for high volatility).
Customize colors, midpoint line style/width, and rectangle duration.
Trading:
Breakouts/Retests: Trade breakouts above/below the rectangle high/low, with retests back to the range or midpoint (aligned with RP Profits scalping).
Liquidity Sweeps: Watch for price sweeping session highs/lows, reversing for entries (SMC concept).
High Time Frame FVG [TakingProphets]HTF FVG
The HTF FVG indicator is built for traders who want a clean, multi-timeframe view of Fair Value Gaps (FVGs) without manually flipping charts. It automatically detects unmitigated FVGs across up to five higher timeframes and overlays them directly on your active chart, keeping your execution bias aligned with higher-timeframe liquidity.
✨ What it does
📌 Multi-timeframe mapping – Detects and plots bullish/bearish FVGs across up to 5 custom HTFs + your current chart.
🧩 Auto-labeling – Each gap is tagged with its originating timeframe (e.g., M5, H1, D1).
🔄 Live updates – FVGs extend forward in time and are automatically removed once mitigated based on your plan.
🟢 Inverse FVGs (optional) – Highlight “inverse gaps” for traders who utilize them in reversal models.
🎯 Consequent Encroachment lines – Enable mid-gap CE levels for precision-based trade management.
⚡ Optimized performance – Built with array management, capped lookback periods, and per-timeframe limits for smooth charting.
🛠️ How it works
Fair Value Gaps are detected using a 3-candle structure:
Bullish FVG → the high of two candles ago is below the low of the prior candle.
Bearish FVG → the low of two candles ago is above the high of the prior candle.
For each selected timeframe:
When an FVG forms, a box is drawn from the gap boundaries and extended forward by a configurable number of bars.
If price closes into the gap on its originating timeframe, the box is automatically removed.
If Consequent Encroachment is enabled, a mid-gap line is plotted for refined targeting.
When multiple gaps exist per side, only the closest unmitigated one remains highlighted for clarity.
⚙️ Inputs & customization
Detection Sensitivity → High / Medium / Low
Lookback Period → 1 Day / 1 Week / 1 Month / Max
Extend Gaps → Add extra forward bars beyond the originating candle.
Show Consequent Encroachment → Toggle CE midlines on/off.
Show Inverse FVGs → Mark inverted gaps for advanced models.
Custom HTFs → Choose up to 5 timeframes to map onto your execution chart.
Appearance Settings → Configure colors, transparency, label size, and gap boundary styles.
📈 Practical tips
Use smaller execution timeframes (e.g., 1m–5m) and overlay multiple HTFs (e.g., M15, H1, H4, D1).
Watch for stacked HTF FVGs in the same price zone — these often create higher-probability draw areas.
Pair CE midlines with session timing, PD arrays, and liquidity concepts to refine entries.
Limit your lookback period and max stored FVGs for better performance during volatile sessions.
📌 Notes
This tool does not generate buy/sell signals. It’s a context mapping utility to help align your trading plan with higher-timeframe structure.
Weekend gaps are automatically filtered out to reduce false positives.
🏷️ Credits & disclaimer
Concepts: ICT / Smart Money methodologies around imbalances and liquidity gaps.
Disclaimer: This script is for educational purposes only and should not be considered financial advice. Always test on demo and trade your own plan.
TFPS - TradFi Pressure ScoreThe Data-Driven Answer to a New Market Reality.
This indicator quantifies the pressure exerted by Wall Street on the crypto market across four critical dimensions: Risk Appetite, Fear, Liquidity Flows, and the Opportunity Cost of Capital. Our research has found that the correlation between this 4-dimensional pressure vector and crypto price action reaches peak values of 0.87. This is your decisive macro edge, delivered in real-time.
The Irreversible Transformation
A fundamental analysis of the last five years of market data proves an irreversible transformation: The crypto market has matured into a high-beta risk asset, its fate now inextricably linked to Traditional Finance (TradFi).
The empirical data is clear:
Bitcoin increasingly behaves like a leveraged version of the S&P 500.
The correlation to major stock indices is statistically significant and persistent.
The "digital gold" narrative is refuted by the data; the correlation to gold is virtually non-existent.
This means standard technical indicators are no longer sufficient. Tools like RSI or MACD are blind to the powerful, external macro context that now dominates price action. They see the effect, but not the cause.
The Solution: A 4-Dimensional Macro-Lens
The TradFi Pressure Score (TFPS) is the answer. It is an institutional-grade dashboard that aggregates the four most dominant external forces into a single, actionable score:
S&P 500 (SPY): The Pulse of Risk Appetite. A rising S&P signals a "risk-on" environment, fueling capital flows into crypto.
VIX: The Market's Fear Gauge. A rising VIX signals a "risk-off" flight to safety, draining liquidity from crypto.
DXY (US-Dollar Index): The Anchor of Global Liquidity. A strong Dollar (rising DXY) tightens financial conditions, creating powerful headwinds for risk assets like Bitcoin.
US 10Y Yield: The Opportunity Cost of Capital. Rising yields make risk-free assets more attractive, pulling capital away from non-yielding assets like crypto.
What makes the TFPS truly unique?
1. Dynamic Weighting (The Secret Weapon):
Which macro factor matters most right now? Is it a surging Dollar or a collapsing stock market? The TFPS answers this automatically. It continuously analyzes the correlation of all four components to your chosen asset (e.g., Bitcoin) and adjusts their influence in real-time. The dashboard shows you the exact live weights, ensuring you are always focused on the factor that is currently driving the market.
2. Adaptive Engine:
The forces driving a 15-minute chart are different from those driving a daily chart. The TFPS engine automatically recalibrates its internal lookback periods to your chosen timeframe. This ensures the score is always optimally relevant, whether you are a day trader or a swing trader.
3. Designed for Actionable Insights
The Pressure Line: The indicator's core output. Is its value > 0 (tailwind) or < 0 (headwind)? This provides an instant, unambiguous read on the macro environment for your trade.
The Z-Score (The Contrarian Signal): The background "Stress Cloud" and the discrete dots provide early warnings of extreme macro greed or fear. Readings above +2 or below -2 have historically pinpointed moments of market exhaustion that often precede major trend reversals.
Lead/Lag Status: Gain a critical edge by knowing who is in the driver's seat. The dashboard tells you if TradFi is leading the price action or if crypto is moving independently, allowing you to validate your trade thesis against the dominant market force.
This is a public indicator with protected source code
Access is now available for traders who understand the new market reality at the intersection of crypto and traditional finance.
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Global M2 Money Supply Top20 + Offset & WaveThe M2 Top20 is a global aggregation of the M2 money supply from the 20 largest economies in the world , providing a comprehensive view of the total liquidity in the global financial system. It is expressed in trillions of USD.
This script calculates and visualizes the M2 Money Supply of the Top 20 Global Economies, adjusted to various timeframes (4H, 1D, 1W, 1M) with customizable offset adjustments (in days) from -1000 days to +1000 days. This indicator includes data from the Americas, Europe, Africa, and the Asia Middle East , offering a diverse and balanced representation of major economic regions. The M2 of each country has been converted to USD.
Additionally, the user can set a minimum and maximum offset to create a wave around the main offset and expand the comparison.
Combining these options, this indicator enables users to visualize a range of the global money supply, making it useful for market analysis, economic forecasting, and understanding macroeconomic trends. This indicator is particularly valuable for traders and analysts interested in understanding the dynamics of global monetary systems and their potential impact on financial markets.
Key Features:
Global M2 Money Supply calculation from the Top 20 Economies.
Adjustable Offset: Adjust the offset to align the indicator with the best bar. Adjustment in days, usable on different timeframes (1D, 1W, 4H, 1M).
Wave Projection: Displays a "probability cloud"—a smoothed area that shows the probable path of Bitcoin, derived from shifts in global liquidity.
Min/Max Offset Adjustments: Customizable offsets allow you to determine the range of future windows, helping to shape the wave and better identify liquidity-driven turning points.
Use Cases:
Economic Forecasting: Identify trends in global money supply and their potential market impact (e.g., historically leads Bitcoin price by +/- 78 days to +/-108 days).
Market Analysis: Track the growth or contraction of money supply across key economies.
Macro-Economic Analysis: Understand the relationship between monetary policies and market performance.
How to use:
Add the indicator to your chart.
Set the timeframe to 1D to customize the offset.
Set the Offset (in days).
Set the Offset Range Minimum and Maximum.
Show/Hide the Range Wave
.
Use offset = 0 to have the indicator align directly with the current data, without any shift, providing a baseline for comparison with the most recent market conditions.
Countries included in the M2 Top20:
China (CN), Japan (JP), South Korea (KR), Hong Kong (HK), Taiwan (TW), India (IN), Saudi Arabia (SA), Thailand (TH), Vietnam (VN), United Arab Emirates (AE), Malawi (MW) – Africa, United States (US), Canada (CA), Brazil (BR), Mexico (MX), Eurozone (EU), United Kingdom (GB), Russia (RU), Poland (PL), Switzerland (CH).
These countries were selected from the ranking of the World Economy Indicator of Trading View .
