Breaker Blocks Signals [AlgoAlpha]🟠 OVERVIEW
This script automates the detection of Breaker Blocks, a popular smart money concept used to identify high-probability reversal zones. It monitors price action for aggressive impulses—measured through a normalized Z-Score—to identify Orderblocks. When these blocks are "broken" or invalidated by price moving through them, they transform into Breaker Blocks. These zones act as "flipped" support or resistance, offering traders specific areas to look for retests and trend continuations. By handling the complex management of zone life-cycles and mitigation, this script provides a clean, real-time map of institutional supply and demand shifts.
🟠 CONCEPTS
The indicator relies on the relationship between price momentum and structural invalidation. It first identifies "impulsive" candles by calculating a Z-Score of price distance covered over a specific window. A Z-Score above 4 marks an "Algorithmically Significant" move. When such a move occurs, the script identifies the last opposite-colored candle (the Orderblock) and draws a gray zone. The transformation happens when price closes entirely through one of these gray zones. This "mitigation" is what triggers the creation of a Breaker Block: an old bearish supply zone becomes a bullish demand zone, and vice versa. This transition reflects a shift in market regime where previous trapped participants are forced to exit, often leading to price rejections at these newly formed levels.
🟠 FEATURES
Automated Breaker Transformation : Instantly flips mitigated Orderblocks into colored Breaker Blocks (Bullish/Bearish).
Rejection Markers : Small arrow icons appear when price enters a Breaker Block and shows signs of respect/reversal.
Comprehensive Alerts : Notifications for both the formation of new breakers and real-time price rejections.
🟠 USAGE
Setup : Add the script to your chart. It is effective on most timeframes, but many traders prefer the 15m or 1h for intraday structure. Use the "Z-Score Window" to adjust sensitivity; 100 is standard, but lower values (e.g., 50) will find more frequent, smaller impulses.
Read the chart : Gray boxes are "Pending" blocks. If price closes above a gray bearish box, it turns into a Bullish Breaker (Green). If price closes below a gray bullish box, it turns into a Bearish Breaker (Red). Look for price to return to these colored zones; the "▲" and "▼" symbols indicate the script has detected a rejection from that level.
Settings that matter : Prevent Overlap is useful for avoiding "cluttered" zones in ranging markets. Max Box Age is critical; it ensures that very old, irrelevant zones are removed from your chart after a set number of bars, keeping your technical analysis current and focused on recent price action.
Wskaźniki i strategie
Reversal Detection v3.2 - FX Optimized | Non-Repainting
Acknowledgment:
Special thanks to TradingView user FakhriSaad for identifying FX compatibility issues that led to the v3.2 optimization.
DESCRIPTION:
Reversal Detection Pro v3.2 - FX Optimized | Non-Repainting
Professional reversal detection indicator with 100% non-repainting signals and ATR-based adaptive sensitivity for all instruments and timeframes.
Key Features:
Non-repainting reversal signals with visual labels
ATR-adaptive sensitivity (0.8x to 3.5x multiplier)
FX-optimized thresholds (0.02%-0.08%) for currency pairs
Triple EMA trend confirmation (9/14/21 periods)
Supply/Demand zone visualization
5 sensitivity presets: Very High to Very Low
Comprehensive alert system
Works on forex, futures, stocks, crypto
What's New in v3.2:
Reduced percentage thresholds by ~40% for FX pairs
Changed default absolute reversal from 1.0 to 0.0001 for forex compatibility
Optimized for 2-10 pip reversals on EUR/USD, GBP/USD, USD/JPY
Maintained excellent performance on futures (MNQ, ES, NQ) and other instruments
Universal Compatibility:
Automatically adapts to any instrument's volatility using ATR normalization. Works on 1-minute scalping through daily swing trading timeframes.
HOW TO USE
Quick Start Guide:
Add to Chart - Apply indicator to any instrument/timeframe
Choose Sensitivity - Select preset based on your trading style
Set Signal Mode - Use "Confirmed Only" for non-repainting signals
Enable Alerts - Set up notifications for reversal signals
Customize Display - Adjust labels, zones, and info table to preference
Sensitivity Selection by Timeframe:
Forex Pairs (EUR/USD, GBP/USD, USD/JPY, etc.):
1-2 minute: Very High or High (2-5 pip reversals)
5-15 minute: Medium (5-10 pip reversals)
30-60 minute: Low (10-20 pip reversals)
4H-Daily: Very Low (20+ pip reversals)
Futures Contracts (MNQ, ES, NQ, etc.):
1-5 minute: High or Medium
15-30 minute: Medium
1-4 hour: Low
Daily: Very Low
Stocks & Crypto:
Start with Medium sensitivity
Adjust based on volatility and signal frequency
Higher volatility = Lower sensitivity recommended
Understanding the Signals:
Reversal Labels:
Green "REVERSAL" = Bullish reversal at potential support
Red "REVERSAL" = Bearish reversal at potential resistance
Price shown on label = Exact reversal pivot price
Horizontal line extends from signal for quick reference
Supply/Demand Zones (Optional):
Green box = DEMAND zone (formed at pivot lows)
Red box = SUPPLY zone (formed at pivot highs)
Thin horizontal rectangles mark key price levels
Zones extend forward showing potential future support/resistance
Info Table (Top Right):
Current settings display
Real-time ATR value
Calculated reversal threshold
Current trend status (Bullish/Bearish/Neutral)
Preview Mode (Optional):
Transparent labels show forming reversals in real-time
Preview signals may disappear if reversal doesn't confirm
Educational tool for understanding signal development
Not recommended for actual trading decisions
Key Settings Explained:
SIGNAL CONTROLS:
Signal Mode:
"Confirmed Only" = No repainting (recommended for trading)
"Confirmed + Preview" = Shows both types (educational)
"Preview Only" = Real-time signals only (study mode)
Extra Confirmation Bars: Add 0-5 bar delay for conservative signals
MAIN CONTROLS:
Sensitivity Preset: Choose from 5 presets or Custom
Very High: Maximum signals, 2-3 pip moves (FX scalping)
High: Frequent signals, 3-5 pip moves
Medium: Balanced, 5-10 pip moves (recommended default)
Low: Quality signals, 10-20 pip moves
Very Low: Major reversals only, 20+ pip moves
ADVANCED SETTINGS (Custom Mode Only):
Calculation Method:
"average" = Smoother detection (recommended)
"high_low" = More responsive to wicks
Percentage Reversal: Minimum % price move (0.02-0.08% for FX)
Absolute Reversal: Safety floor (0.0001 for FX, 1.0 for futures)
ATR Multiplier: Primary control (lower = more sensitive)
ATR Length: Lookback period (14 bars standard)
ZONES:
Supply/Demand Display: Pivot, Arrow, or None
Show Supply/Demand Zones: Enable rectangular price zones
Number of Zones: Display 0-20 recent zones
Zone Box Extension: Forward projection length (20-50 bars)
Zone Thickness: Visual thickness (0.01% recommended)
LABELS:
Stop Line Extension: Length of horizontal price lines (5-10 bars)
Maximum Lines: How many lines to keep on chart (10 default)
Label Size: Small, Normal, or Large text
INFO TABLE:
Show Info Table: Toggle settings display on/off
Table Position: 6 screen position options
Table Size: Adjust text size for readability
Trading Strategy Examples:
Scalping Strategy (1-5 min charts):
Set sensitivity to High or Very High
Wait for reversal signal
Enter on signal bar close
Place stop loss 2-3 pips beyond reversal price
Take profit at 5-10 pip targets or next reversal signal
Trend Trading (15-60 min charts):
Set sensitivity to Medium
Check Info Table for trend direction
Only take reversal signals aligned with trend
Enter when REVERSAL matches trend (Bullish trend + Green signal)
Use supply/demand zones for profit targets
Swing Trading (4H-Daily charts):
Set sensitivity to Low or Very Low
Enable supply/demand zones
Wait for reversal at zone boundaries
Combine with higher timeframe trend analysis
Use zones as multiple take-profit levels
Confirmation Tool:
Use with your existing strategy
Set to Confirmed Only mode
Take your setup signals only when reversal confirms
Use reversal price as stop loss reference
Alert Configuration:
Available Alert Types:
REVERSAL Bullish - Green reversal signal
REVERSAL Bearish - Red reversal signal
Any REVERSAL - Either direction
EMA Buy Signal - Trend turns bullish
EMA Sell Signal - Trend turns bearish
Trend Changed to BULLISH - Confirmed trend change
Trend Changed to BEARISH - Confirmed trend change
STRONG Bullish Signal - Reversal + trend aligned
STRONG Bearish Signal - Reversal + trend aligned
Setting Up Alerts:
Right-click chart → Add Alert
Select "Reversal Pro v3.2" as Condition
Choose desired alert type
Set "Once Per Bar Close" for non-repainting
Configure notification method (popup, email, webhook)
Best Practices:
✓ Start with Medium sensitivity and adjust based on results
✓ Use Confirmed Only mode for actual trading
✓ Combine reversal signals with trend direction for higher probability
✓ Set alerts for "Once Per Bar Close" to avoid repainting
✓ Practice on demo account before live trading
✓ Use supply/demand zones for confluence
✓ Adjust sensitivity based on market volatility conditions
✓ Lower sensitivity during high-impact news events
✗ Don't trade every signal - be selective
✗ Don't ignore trend context (check Info Table)
✗ Don't use Preview signals for live trading
✗ Don't overtrade - quality over quantity
✗ Don't risk more than 1-2% per trade
✗ Don't ignore proper risk management
✗ Don't trade during major news releases without experience
Troubleshooting:
No Signals Appearing:
Check Absolute Reversal setting (should be 0.0001 for FX pairs)
Try increasing sensitivity (Very High or High)
Verify instrument has sufficient price movement
Check that Signal Mode isn't set to "Preview Only"
Too Many Signals:
Lower sensitivity (try Low or Very Low)
Increase Extra Confirmation Bars
Switch to higher timeframe
Increase ATR Multiplier in Custom mode
Zones Not Showing:
Enable "Show Supply/Demand Zones" checkbox
Increase "Number of Zones" setting
Adjust "Zone Thickness" to 0.01 for better visibility
Labels/Lines Moving on Chart Pan:
This is normal TradingView behavior with bar_index positioning
Zoom/scroll adjustments may shift visual elements slightly
Signals themselves remain accurate at confirmed bar
Performance Notes:
Indicator recalculates on every bar close
Historical signals do not repaint or recalculate
Preview mode updates in real-time (educational only)
Info Table updates each bar with current settings
Maximum 50 boxes, 200 lines, 100 labels per chart
Minimal CPU usage - efficient for real-time monitoring
Educational Concepts:
This indicator teaches:
Support/Resistance: Price levels where reversals occur
Supply/Demand: Zones where institutions may be active
Trend Analysis: Using multiple EMAs for direction
Volatility Adaptation: How ATR normalizes across instruments
Risk Management: Using reversal prices for stop placement
Signal Confirmation: Difference between preview and confirmed signals
VERSION HISTORY
v3.2 (January 2026):
FX-optimized percentage thresholds (0.02%-0.08%)
Changed default absolute reversal to 0.0001 for forex
Enhanced compatibility with low-volatility currency pairs
Thanks to FakhriSaad for identifying FX compatibility issues
v3.1 (January 2025):
Universal optimization for all instruments and timeframes
ATR-based adaptive sensitivity as primary mechanism
Fixed percentage thresholds as safety floor
Enhanced scalping through swing trading capability
Educational Tool:
Designed to help traders learn reversal patterns, support/resistance concepts, and price action structure. Demonstrates algorithmic detection of market pivots.
Disclaimer: This indicator is for educational purposes only. It does not provide investment advice. All trading involves risk. Past performance does not guarantee future results. Use proper risk management and never invest more than you can afford to lose.
Support: For questions, feedback, or feature requests, please comment below or message @NPR21 on TradingView.
Auto TP & SL Manager | GainzAlgo📊 OVERVIEW:
================
Auto TP & SL Manager is a professional-grade, data-driven market classification and regime detection system engineered to identify high-probability directional opportunities through machine learning, statistical validation, and adaptive risk management.
This indicator applies advanced pattern recognition techniques to classify market regimes by analyzing historical price behavior, multi-feature technical data, and volatility-adjusted distance metrics. Rather than relying on static rules or fixed thresholds, Auto TP & SL Manager continuously adapts to evolving market conditions using a machine-learning-based framework.
Unlike traditional indicators that react to price, this system contextualizes price, combining classification confidence, kernel regression trend validation, and automated ATR-based trade management into a unified execution framework.
⭐ WHY THIS SYSTEM IS UNIQUE AND WORTHY OF PUBLICATION:
=====================================================
This is not a fixed-parameter indicator or a simple ML experiment.
Auto TP & SL Manager represents a structured, production-ready machine learning methodology where:
- Market regimes are classified using similarity-based pattern recognition
- Predictions are statistically filtered using kernel regression
- Risk management adapts automatically to volatility
- Signals remain non-repainting and fully backtestable
- Performance metrics are transparently tracked in real time
Every component is designed to reinforce the others, forming a coherent decision-making system rather than isolated tools stacked together.
🔗 SYNERGISTIC SYSTEM ARCHITECTURE:
=================================
🧠 1. MACHINE LEARNING REGIME CLASSIFICATION ENGINE
At the core of Auto TP & SL Manager is a K-Nearest Neighbors (KNN) classification model using an advanced distance metric optimized for financial time series:
Distance = Σ log(1 + |current_feature − historical_feature|)
This formulation is intentionally chosen to:
- Reduce sensitivity to outliers
- Capture non-linear relationships
- Maintain robustness across changing volatility regimes
How the engine operates:
1. Computes up to 5 engineered technical features per bar
2. Scans up to 2000 historical bars
3. Identifies the K most similar historical patterns
4. Aggregates their outcomes to classify the current market regime
5. Generates directional signals only when confidence thresholds are met
This allows the system to recognize what the market looks like, not just where price is.
📐 2. MULTI-FEATURE ENGINEERING FRAMEWORK
The classification engine operates on a configurable feature set derived from:
- RSI
- WaveTrend (WT)
- CCI
- ADX
Each feature includes:
- Primary calculation period
- Secondary smoothing or modifier parameter
This flexibility allows traders to balance signal stability vs responsiveness, while maintaining a consistent ML backbone.
📊 3. KERNEL REGRESSION TREND VALIDATION
To prevent overfitting and reduce false positives, all ML predictions are validated through a dual-kernel regression framework:
- Rational Quadratic Kernel → Primary statistical trend direction
- Gaussian Kernel → Smoothed confirmation and noise reduction
Signals are only permitted when:
- ML classification aligns with kernel trend direction
- Optional Gaussian crossover confirmation is satisfied
This creates independent statistical verification, a critical safeguard in ML-based trading systems.
🛡️ 4. AUTOMATED ATR-BASED RISK MANAGEMENT
Auto TP & SL Manager integrates fully automated trade management:
- ATR-based Take Profit
- ATR-based Stop Loss
- Volatility-adjusted distances
- Optional dynamic exits via kernel reversal
This ensures:
- Risk adapts to market conditions
- No manual calculations are required
- Trades follow professional, volatility-aware risk principles
🧮 CORE SYSTEM LOGIC:
====================
📏 DISTANCE-BASED SIMILARITY MEASURE
- Log-scaled feature distance aggregation
- Robust to extreme values
- Optimized for non-linear financial data
📊 KERNEL REGRESSION
- Lookback-controlled statistical smoothing
- Relative weighting prioritizes recent price action
- Optional lag-based enhancement for stability
📦 CLASSIFICATION CONFIDENCE
- Prediction values range from -8 to +8
- Strength directly visualized via bar coloring and labels
🛡️ MULTI-LAYER FILTERING SYSTEM:
================================
Up to six independent filters can be enabled to refine signal quality:
1. Volatility Filter – avoids low-volatility consolidation
2. Regime Filter – enforces directional persistence
3. ADX Filter – requires minimum trend strength
4. EMA Filter – price alignment with long-term trend
5. SMA Filter – additional trend confirmation
6. Kernel Alignment – statistical trend validation
Each filter operates independently, allowing precise control over signal frequency and accuracy.
🎨 VISUAL & PERFORMANCE FRAMEWORK:
================================
📊 VISUAL SIGNAL SYSTEM
- Clean BUY / SELL markers
- Automatic TP & SL levels
- Non-repainting, bar-close confirmation
🎨 BAR COLORING
- Gradient-based on ML confidence
- Green → bullish classification
- Red → bearish classification
📈 PERFORMANCE TRANSPARENCY
- Real-time backtest statistics
- Win rate, trade count, and early flip metrics
- Optional conservative “worst-case” estimation
⚙️ CORE FEATURES:
================
1. Machine Learning Regime Classification
2. Advanced Distance Metrics (Non-Linear)
3. Multi-Feature Pattern Recognition
4. Dual Kernel Regression Confirmation
5. Automated ATR-Based TP & SL
6. Six-Layer Signal Filtering
7. Non-Repainting Signal Logic
8. Real-Time Performance Statistics
9. Flexible Feature Engineering
10. Broad Instrument & Timeframe Compatibility
📘 WHO AUTO TP & SL MANAGER IS FOR:
=================================
- Scalpers → Fast regime classification with minimal filtering
- Day Traders → Balanced ML + kernel confirmation
- Swing Traders → Higher stability via increased neighbors and filters
- System Traders → Transparent logic and backtestable behavior
⚠️ IMPORTANT DISCLAIMER:
========================
This indicator is provided for educational and informational purposes only and does not constitute financial advice.
Trading involves substantial risk, and losses are an inherent part of trading.
Machine learning models are based on historical pattern analysis and cannot predict unprecedented events, news releases, or structural market changes.
Past performance, whether live or backtested, does not guarantee future results.
All trading decisions, risk management, and outcomes remain the sole responsibility of the user.
Always apply proper position sizing, use stop losses, and never trade capital you cannot afford to lose.
NQ Top 2025 Stocks Screener by ProjectSyndicate📊 NQ Top 2025 Stocks Screener (TradingView) — by ProjectSyndicate
Executive Summary
This document provides comprehensive documentation for the NQ TOP 2025 Stocks Screener, a powerful Pine Script™ indicator for TradingView.
The screener is designed to give traders and investors a high-level overview of performance and advanced risk metrics for a curated list of 40 top-performing Nasdaq stocks in 2025. By presenting rich data in a clean, customizable dashboard, users can quickly:
• Identify market leaders
• Assess risk-adjusted returns
• Make more informed trading decisions
The script includes performance metrics across multiple timeframes, plus sophisticated risk and volatility parameters—such as the Kelly Criterion, Sharpe Ratio, and Z-Score—often found in professional-grade institutional tools.
________________________________________
⭐ Top 10 Key Features
# Feature Description
1 Curated Stock List Monitors a list of 40 hand-picked, high-performing Nasdaq stocks.
2 Multi-Timeframe Performance Tracks performance across 6 timeframes: Week, Month, Quarter, 6 Months, 12 Months, and YTD.
3 Advanced Risk Metrics Includes institutional-grade metrics: Beta, Sharpe, Sortino, Omega, Z-Score, Kelly%.
4 Dynamic Sorting Sort the dashboard by any of the 6 performance metrics to instantly find top movers.
5 Customizable Dashboard Control table position (Top/Middle/Bottom + Left/Center/Right) and text size (Small/Normal/Large).
6 Color-Coded Performance Uses a 7-level gradient (bright green → bright red) for quick strength/weakness scanning.
7 Merged Title Heading Full-width title at the top for a clean, professional dashboard look.
8 Daily Timeframe Lock Detects non-daily timeframes and prompts a switch to ensure calculation accuracy.
9 Clean & Readable Code Well-organized and commented for easier understanding and modification.
10 Lightweight & Efficient Optimized to run smoothly on TradingView with minimal lag.
________________________________________
📖 Overview
The NQ TOP 2025 Stocks Screener brings institutional-style market analysis to everyday traders.
Instead of reviewing dozens of individual charts, it consolidates the most important data points for 40 Nasdaq stocks into a single, elegant dashboard—helping users save time and quickly spot opportunities while staying aware of risk.
________________________________________
🛠️ Installation
1. Open TradingView and navigate to any chart.
2. Open the Pine Editor tab at the bottom of the screen.
3. Copy the entire script from NQ_TOP_2025_Stocks_Screener.pine.
4. Paste it into the Pine Editor (replacing any existing text).
5. Click Add to Chart.
✅ The dashboard will appear on your chart.
📌 Recommended timeframe: Daily (for accurate calculations).
________________________________________
📊 Dashboard Layout (16 Columns)
# Header Description
1 No. Rank of the stock based on the current sort order.
2 Ticker Stock ticker symbol.
3 Stock Name Company name.
4 Week% % price change over the last week.
5 Mnt% % price change over the last month.
6 Quarter% % price change over the current quarter.
7 6Mnt% % price change over the current 6 months.
8 12Mnt% % price change over the current 12 months.
9 YTD% % price change from the start of the current year.
10 Wk Vol Annualized weekly volatility.
11 Beta Volatility relative to Nasdaq-100 (QQQ).
12 Sharpe Sharpe Ratio (risk-adjusted return).
13 Sortino Sortino Ratio (downside-risk focused).
14 Omega Omega Ratio (probability of gains vs losses).
15 Z-Score Distance from mean in standard deviations.
16 Kelly% Kelly Criterion (theoretical optimal position sizing).
________________________________________
🔬 Advanced Risk & Volatility Parameters
This screener goes beyond basic performance to provide deeper risk insight.
Parameter Description
Wk Vol (Weekly Volatility) Annualized standard deviation of weekly returns. Higher = larger price swings.
Beta Volatility vs Nasdaq-100 (QQQ). Beta > 1 = more volatile than index; Beta < 1 = less volatile.
Sharpe Ratio Excess return per unit of total volatility. Higher = better risk-adjusted return.
Sortino Ratio Like Sharpe, but only uses downside volatility (penalizes harmful volatility).
Omega Ratio Probability-weighted gains vs losses relative to a threshold. Higher = more favorable return distribution.
Z-Score How far a value is from its mean (in standard deviations); helps detect extremes vs average behavior.
Kelly% (Kelly Criterion) Suggests an optimal allocation % based on performance and variance (theoretical position sizing).
________________________________________
⚙️ Customization (Settings Menu)
You can customize the dashboard appearance and behavior via the script settings:
• Table Position: Choose vertical (Top/Middle/Bottom) and horizontal (Left/Center/Right) placement
• Text Size: Small / Normal / Large
• Sort By: Select the primary sorting column from any of the 6 performance metrics
________________________________________
📋 Stock List (40 Nasdaq Stocks)
The screener includes the following top-performing Nasdaq stocks in 2025:
HYMC, CELC, TERN, AUGO, ONDS, ERAS, ASTS, GRAL, SATS, WDC, COGT, ATRO, OPEN, VSAT, APLD, LASR, PRAX, ALMS, MU, TTMI, ARWR, LITE, CIFR, SSRM, FTAI, MLYS, KTOS, GPCR, RKLB, STX, NVTS, VISN, EOSE, RVMD, LQDA, PPTA, WBD, INDV, ACMR, BLTE
ICC Market Structure and Phase TrackingICC Market Structure and Phase Tracker
ICC Market Structure and Phase Tracker is a visual market-structure indicator based on the Indication → Correction → Continuation (ICC) framework — a structured approach to analyzing break-of-structure, pullback, consolidation, and trend-continuation phases.
The script focuses on identifying structural phases, key levels, and phase transitions across multiple timeframes, providing clear contextual market structure information.
What the Indicator Identifies
The indicator tracks complete market-structure cycles by classifying price action into the following phases:
Indication — initial structural break or trend initiation
Correction — pullback, retracement, or consolidation following the break
Continuation — expansion or impulse in the direction of structure
Neutral / No Setup — periods without valid structural conditions Each phase is visually distinguished on the chart for fast, at-a-glance structural awareness.
CORE FEATURES
Market Structure & Phase Tracking
Automatic detection of structural breaks, corrections, consolidations, and continuations
Background shading to clearly distinguish phases
Invalidation logic to identify failed or broken structures Multi-Timeframe Context
Optional higher-timeframe (HTF) structure displayed on lower-timeframe charts
HTF indication levels shown as reference lines
HTF phase and context displayed in the information table Structure Event Visualization
Visual markers for continuation and optional reversal structures
Clear visual separation between trend-aligned and counter-structure events
Reversal structure visualization can be enabled or disabled in settings Volatility-Aware Structure Zones
Structure-based support and resistance zones
Optional ATR-based zone sizing that adapts to market volatility
Configurable historical zones (0–3) with visual hierarchy Information Table
Displays current ICC phase, indication level, consolidation status, and HTF context
Designed for quick reference without relying solely on chart visuals Alerts
Alerts trigger only when corresponding visual conditions appear on the chart
Includes alerts for ICC phases, continuation structures, and optional reversals Configuration Overview
Auto Profiles for different trading contexts (Scalping, Intraday, Swing, Entry)
Manual controls for swing length, consolidation behavior, and volatility settings
Higher-timeframe controls for filtering and visual alignment
Reversal toggle to enable or disable counter-structure visualization Default settings are intended as reasonable starting points and can be adjusted for different instruments and timeframes.
Intended Use
This script is designed as a market-structure and contextual analysis tool.
Users are expected to apply their own analysis, validation, and risk management when interpreting the displayed structure.
Feedback
Bug reports, edge cases, and constructive feedback are welcome.
The project is actively refined with a focus on structure clarity, phase accuracy, and multi-timeframe usability.
GCM Kinetic Flux SpectrumTitle: GCM Kinetic Flux Spectrum
DESCRIPTION
The GCM Kinetic Flux Spectrum is an institutional-grade hybrid momentum and volume engine. Unlike standard oscillators that rely on closing prices, the GCM KFS synthesizes dual-source RSI volatility with Volume Flow Intensity (VFI) to reveal the hidden kinetic energy of market movements.
By projecting a 27-layer "Spectrum Ribbon" and a multi-dimensional Divergence Engine, the GCM KFS identifies not just where the price is heading, but the quality and "fuel" behind the trend.
CORE ARCHITECTURE
1) The Kinetic Mean (Dual-Source RSI)
Standard RSI often ignores the battle occurring at the wicks. The GCM KFS calculates independent RSI streams for Highs and Lows, then anchors them to a Zero-Centered baseline (-50 to +50). The resulting Kinetic Mean filters out retail noise, providing a volatility-adjusted perspective on momentum.
2) Volume Flux Integration (VFI)
Volume precedes price. The GCM KFS integrates a highly responsive, EMA-smoothed Volume Flow Indicator (VFI). By syncing VFI length with the RSI cycle, the indicator cross-verifies price strength with capital flow.
• Momentum + Positive Flux: Confirms high-conviction trends.
• Momentum + Negative Flux: Reveals "Empty" breakouts or institutional distribution.
3) 27-Layer Spectrum Ribbon
The gradient fill isn't just aesthetic—it represents Volatility Density.
• Expansion: When ribbons fan out, it signals a high-velocity trend.
• Compression (The Squeeze): When ribbons pinch toward the Kinetic Mean, it signals a volatility contraction, typically the precursor to an explosive breakout.
4) Four-Way Divergence Engine
The KFS automatically detects and projects four types of divergence on both the indicator pane and the main price chart:
• Regular Bullish/Bearish: Identifying high-probability trend reversals.
• Hidden Bullish/Bearish: Identifying trend continuation (Smart Money re-entry points).
KEY POWER FEATURES
• Zero-Centered Logic: Levels are shifted for better visual balance. (OB: +20, Extreme OB: +30 | OS: -20, Extreme OS: -30).
• Dynamic Zones: Subtle background fills highlight "Extreme" areas where price is statistically likely to mean-revert.
• Main Chart Projection: Use the force_overlay feature to keep your eyes on price action while the indicator confirms entries.
• Institutional Dotted VFI: The orange dotted line acts as the "Anchor"—if price rises but the VFI Anchor stays below zero, the move lacks professional backing.
HOW TO TRADE WITH GCM-KFS
• The Reversal Sniper: Look for an R-BULL or R-BEAR label appearing inside the Extreme Zone (±30). This indicates momentum exhaustion backed by a volume shift.
• Trend Riding: During an uptrend, look for H-BULL (Hidden Bullish) labels. This signals that institutions are "buying the dip" while momentum resets.
• Volatility Breakouts: When the Spectrum Ribbon enters a tight "squeeze" near the Zero Line, prepare for a major move. Follow the direction of the first ribbon expansion.
RECOMMENDED SETTINGS
• Scalping (1m - 5m): Length 7 - 9
• Day Trading (15m - 1H): Length 10 - 14
• Swing Trading (4H - Daily): Length 20+
AUTHOR’S NOTE
This script is part of the GCM suite of professional tools. It is designed to be a "confluence engine"—it works best when used to confirm price action levels, supply/demand zones, or order blocks. Always trade with a plan and managed risk.
Median TR SuperTrend | RakoQuantMedian TR SuperTrend | RakoQuant
A Robust Trend-Following Regime Indicator for Daily Crypto Markets
The Median TR SuperTrend is a modern trend-following indicator designed to help students and traders clearly identify the dominant market regime on higher timeframes (especially 1D crypto).
This tool is inspired by the classic SuperTrend framework, but enhanced with a more robust volatility engine, making it better suited for the extreme wick behavior and noise typical in cryptocurrency markets.
What This Indicator Does:
The Median TR SuperTrend answers one simple question:
Are we currently in a bullish trend regime or a bearish trend regime?
It is not meant for rapid scalping or frequent signals.
Instead, it is built to provide:
Clear directional context
Trend continuation bias
Regime-based positioning
Noise reduction on higher timeframes
This makes it ideal for students learning disciplined trend-following.
Core Concept: Trend Following, Not Prediction
This indicator does not attempt to predict tops or bottoms.
It follows trends by reacting only when price establishes a true breakout beyond a volatility-adjusted band.
That means:
Strong trends are captured early
Choppy markets are filtered
Signals are based on regime shifts, not candle-to-candle noise
What Makes It “Robust”?
Traditional SuperTrend systems use ATR (Average True Range) to define volatility.
Crypto markets, however, often produce outlier candles (wicks, liquidations, spikes) that distort ATR.
This version replaces ATR with:
Median True Range (MTR)
Median TR is more resistant to extreme one-off candles, providing:
Smoother volatility estimates
More stable trend bands
Less sensitivity to random spikes
This creates a more reliable trend structure in high-volatility environments.
How It Works (Simple Breakdown)
1. Median Baseline
The indicator begins by calculating a rolling median of price, forming a stable central trend reference.
2. Robust Volatility Bands
A volatility envelope is created using Median True Range:
Upper band = baseline + multiplier × MTR
Lower band = baseline − multiplier × MTR
3. SuperTrend Regime Logic
Only one band is active at a time:
Bull regime → trailing lower band
Bear regime → trailing upper band
Trend flips occur only when price breaks beyond the active band.
Visual Interpretation
Neon Aqua Band
Bullish regime
Trend-following long environment
Neon Magenta Band
Bearish regime
Defensive or short environment
Filled Trend Zone
Shows the active trend space clearly without clutter.
This indicator is designed for learning:
Market structure
Regime trading
Patience and higher timeframe discipline
Recommended workflow:
Use Median TR SuperTrend on 1D
Trade only in the direction of the active regime
Combine with a trigger tool if needed (RSI, momentum, breakout)
Ideal Markets
BTC, ETH, SOL
Daily swing trend environments
Portfolio regime filtering (RSPS / LTPI-style frameworks)
Disclaimer
This indicator is a regime and trend-following tool, not a complete trading system.
It should be used as part of a broader strategy with:
Risk management
Position sizing
Confirmation logic
Mean Deviation Loop | Lyro RSThe MAD Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with robust statistical dispersion measures. This indicator employs a multi-model approach, integrating Bollinger-style MAD bands, for-loop momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-Style MAD Bands
This mode calculates dynamic volatility bands around price using Mean Absolute Deviation (MAD) instead of standard deviation or RMSE. MAD offers a smoother and more outlier-resistant measure of price dispersion.
Upper Band = Dynamic Moving Average + (MAD × Multiplier)
Lower Band = Dynamic Moving Average − (MAD × Multiplier)
These bands expand and contract with market volatility, helping to identify potential breakout and breakdown zones with reduced sensitivity to extreme price spikes.
For-Loop Momentum Scoring
Momentum is evaluated by analyzing recent price behavior through a loop-based comparison system applied to a MAD-weighted price series.
A rising momentum score indicates strengthening bullish pressure
A declining momentum score signals increasing bearish dominance
This method emphasizes directional consistency rather than short-term noise.
Hybrid Combined Signal
This mode combines the outputs of the MAD Bands and For-Loop Momentum Scoring into a unified directional signal.
+1 indicates bullish conditions (green)
−1 indicates bearish conditions (red)
An average of these scores is calculated to generate a combined signal, providing a clearer and more reliable indication of overall market trend.
Practical Application
Signal Interpretation
A buy signal is generated when both the MAD Bands and For-Loop Momentum align bullishly.
A sell signal is generated when both components align bearishly.
Trend Confirmation
The Hybrid Combined Signal serves as a confirmation layer, helping traders validate trend direction and reduce the likelihood of false signals during choppy or low-volatility conditions.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Larry Williams Qualified Trend Break Signals [tradeviZion]Larry Williams Qualified Trend Break Signals - Description
📖 Introduction
Welcome to the Larry Williams Qualified Trend Break Signals indicator. This description explains how the indicator works, its settings, and how to use it.
This indicator demonstrates Larry Williams' Qualified Trend Line Break technique - his preferred method for timing precise entries on daily charts when you already have a confirmed market setup.
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🎯 About This Script
This indicator implements the Qualified Trend Line Break system - an entry technique that qualifies trend line breaks for better timing.
Important: This is NOT a signal generator. It's an entry timing tool for traders who already have a market setup and confirmation. Use it only after establishing weekly bias and daily confirmation.
Why We Made This Indicator:
This indicator demonstrates Larry Williams' favorite entry technique for daily timeframe trading. It's designed to be used as part of his complete methodology:
How To Use It Properly:
First, establish your setup: Check weekly chart for overall market bias (bullish/bearish)
Then confirm on daily: Look for confirmation signals on daily timeframe
Finally, use trend breaks: Enter trades only when trend breaks align with your setup direction
Important Warning: This is NOT a standalone buy/sell signal indicator. Using trend breaks without proper setup and confirmation will likely produce poor results. It's a timing tool for entries, not a signal generator.
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About The Qualification Rules
The system improves on qualification methodology with these key changes:
For BUY signals (breaking above downtrend lines):
Break is usually bad if previous bar closed higher
But can still be good if:
Previous bar was inside the prior bar AND that prior bar closed lower
Price gaps above trend line and moves up at least one tick
Previous bar closed below its own opening price
For SELL signals (breaking below uptrend lines):
Break is usually bad if previous bar closed lower
But can still be good if:
Previous bar was inside the prior bar AND that prior bar closed higher
Price gaps below trend line and moves down at least one tick
Previous bar closed above its own opening price
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📐 How The Qualification System Works
The trend break system is based on qualification methodology as developed by Larry Williams . It solves the problem where trend line breaks often fail and price goes back.
Trend Line Setup:
For BUY signals: Connect the two most recent declining swing highs to make a downtrend line
For SELL signals: Connect the two most recent rising swing lows to make an uptrend line
Inside Bar Rule:
A key principle: Trend breaks that occur on inside bars are completely ignored. The system only evaluates breaks that occur on regular bars, making signals more reliable.
How It Works In The Code
The indicator follows these steps:
Finds swing points: Identifies highs and lows in the price action
Draws trend lines: Connects 2 recent swing points to make trend lines
Checks inside bars: Ignores breaks that happen on inside bars
Qualifies signals: Uses the rules to check if breaks are good or bad
Shows signals: Only displays qualified BUY/SELL signals
Optional feature: Can show disqualified signals
⚙️ Settings
The indicator has 3 groups of settings to customize how it works.
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📊 Signal Settings
Show Signals
Default: ON
ON: Displays green/red labels when trend breaks qualify for entry
OFF: Hides entry labels (trend lines still show for analysis)
Remember: These are entry TIMING signals, not standalone buy/sell signals
Signal Selection
Default: Both | Options: Buy Only, Sell Only, Both
Buy Only: Shows only BUY signals
Sell Only: Shows only SELL signals
Both: Shows both BUY and SELL signals
Break Validation
Default: Close | Options: Break Level, Close
Break Level: Signal when price touches the trend line (more signals)
Close: Signal when bar closes beyond trend line (fewer signals)
Tip: Try "Close" first for better signals
Show Disqualified
Default: OFF | Options: ON/OFF
What it does: Shows bad breaks
ON: Shows gray ❌ labels with explanations
OFF: Hides bad signals
👁️ Display Settings
Show Trend Lines
Default: ON
What it does: Shows trend lines on the chart
Looks like: Dashed blue lines connecting swing points
Goes to: Extends into future bars
Why: Shows where breakouts are expected
Show Swing Points
Default: ON
What it does: Marks highs/lows used for trend lines
Looks like: Shape markers at swing locations
Shows: How trend lines are constructed
Marker Style
Default: Circle | Options: Circle, Triangle, Square, Diamond, Cross
What it does: Choose shape for swing markers
Options: Circle, Triangle, Square, Diamond, Cross
Best choice: Circle is clear without being busy
Marker Size
Default: 3 | Range: 1-10
What it does: Controls marker size
Range: 1 (tiny) to 10 (large)
Show Inside Bars
Default: ON
What it does: Highlights inside bars
Looks like: Light orange background on inside bars
Note: These bars are ignored for break qualification
Important: Inside bars are ignored for break qualification
🎨 Colors
Signal Colors
Buy Signal (Default: Green) - Color for good BUY signals
Sell Signal (Default: Red) - Color for good SELL signals
Disqualified (Default: Gray) - Color for bad signals
Display Colors
Trend Line (Default: Blue) - Color for trend lines and markers
Inside Bar (Default: Light Orange) - Background for inside bars
💡 How To Use It In Larry Williams Methodology
Step 1 - Weekly Setup: Identify market bias on weekly chart (clear bullish/bearish trend)
Step 2 - Daily Confirmation: Find confirmation signals on daily timeframe
Step 3 - Trend Break Entry: Use qualified trend breaks only in setup direction
Important: Never enter based on trend breaks alone - always require setup + confirmation first
⚠️ Important Notice
This indicator implements Larry Williams' trend break entry technique. It should NOT be used as standalone buy/sell signals. Only use trend breaks for entry timing after you have established a proper market setup and confirmation. Poor results will occur if using signals without the complete Larry Williams methodology.
Credits: Based on Larry Williams' trading approach and qualification methodology. Swing detection logic adapted from "Larry Williams: Market Structure" by Smollet.
Mentor Michael | XAUUSD Short BiasMentor Michael | XAUUSD Market Structure & Short Bias
This indicator is a visual price-action framework designed for traders who analyze Gold (XAUUSD) using institutional concepts rather than lagging indicators.
The script highlights high-probability decision zones by mapping key areas where liquidity, supply, and demand are most likely to influence price behavior. It is intended for educational and discretionary trading, not automated execution.
Core Features
Higher-Timeframe Resistance Zone
Identifies premium pricing areas where selling pressure and profit-taking are statistically likely.
Range & Accumulation Mapping
Visually marks prior consolidation zones to provide context for current market positioning.
Demand Reaction Area
Highlights zones where buyers previously reacted, helping define structural invalidation.
Projected Downside Target
Displays logical price objectives based on range equilibrium and liquidity attraction.
Directional Bias Label
Keeps the trader aligned with the planned market narrative and risk framework.
Trading Philosophy
This indicator is built around:
Market structure
Liquidity behavior
Premium vs. discount pricing
Mean-reversion probability after expansion
It supports traders in identifying where to trade, not when to trade, encouraging patience, confirmation, and proper risk management.
Best Use Case
Top-down analysis (D1 → H4 → H1)
Confluence-based trade planning
Educational chart sharing
Manual execution with confirmation
Important Notice
This tool does not provide buy/sell signals, alerts, or automated trades.
All levels are reference zones, not guarantees. Always apply your own confirmation and risk management.
SMA Squeeze Oscillator█ OVERVIEW
SMA Squeeze Oscillator is a momentum oscillator based on the relationship between multiple SMA moving averages. It combines volatility compression analysis (Squeeze), wave-style momentum structure, trend filtering, breakout signals, and divergence detection.
The indicator is designed to identify periods of market compression (low volatility), which are often followed by dynamic price moves. Additionally, it visualizes momentum and trend structure in a clean and readable way, without using a classic histogram.
█ CONCEPT
The core of the indicator is built on three SMA moving averages with different lengths. The distance between them (spread) is compared to ATR, which allows the detection of volatility compression (Squeeze).
- When the SMA spread is smaller than ATR × multiplier, the market is considered to be in Squeeze
- When the spread expands beyond this threshold, the market exits the Squeeze – often signaling the beginning of an impulse
Momentum is calculated from the relationship between the faster SMA and the slower SMAs, then smoothed. Instead of a traditional histogram, the indicator displays continuous momentum waves above and below the zero line, making changes in momentum structure easier to read.
An optional SMA trend filter can be used to limit signals to the direction of the current trend.
█ FEATURES
Calculations
- three SMA moving averages
- ATR as a volatility measure
- Squeeze detection based on SMA spread
- wave-based momentum oscillator with smoothing
- optional SMA trend filter
Visualization
- momentum waves above / below the zero line
- bullish / bearish trend fills
- separate fill and color for Squeeze phases
- thick zero line reflecting current trend
- wave-style candle coloring based on momentum
- first wave markers after exiting Squeeze
- bullish and bearish divergence visualization
Signals
- momentum zero-line cross (Bull / Bear Cross)
- first momentum wave after Squeeze
- classic bullish and bearish divergences
Alerts
- Bull Cross
- Bear Cross
- First Bullish after Squeeze
- First Bearish after Squeeze
- Bullish Divergence
- Bearish Divergence
█ HOW TO USE
Adding the indicator
Paste the code into Pine Editor or search for “SMA Squeeze Oscillator” on TradingView.
Main settings
- SMA 1 / 2 / 3 – lengths of SMAs used for Squeeze and momentum
- ATR Length / Multiplier – Squeeze detection sensitivity
- ATR Multiplier = 0 → the indicator does not display Squeeze zones
- Momentum Smoothing – smoothing of momentum waves
- Enable SMA Filter – trend filter
- the current trend is reflected by the zero-line color
- price below SMA → bearish trend
- price above SMA → bullish trend
- when enabled, it filters Bull / Bear Cross and First Bullish / Bearish after Squeeze signals, allowing only those aligned with the trend
- Enable candle coloring – wave-style candle coloring
- Enable Divergence – divergence detection
█ APPLICATION
Squeeze & Breakout
Squeeze phases indicate low volatility and energy accumulation. A breakout from Squeeze often leads to a strong directional move.
The SMA filter is not required – instead, users may apply:
- a more advanced trend filter
- structural confirmation (level break, correction completion)
- additional price-action tools
Momentum trading
The direction and slope of momentum waves help assess impulse strength and loss of momentum.
A momentum reversal can act as an early signal of a correction or potential trend change, often before it becomes visible on price.
Divergences
The indicator detects classic bullish and bearish divergences.
Important notes:
- divergences appear with a delay equal to the pivot length required for detection, by default, this delay is two candles
- divergences forming on small momentum waves or inside a Squeeze are often misleading and should be treated with caution
█ NOTES
- the indicator works best when used in market context
- Squeeze reflects volatility, not direction
- it is not a standalone trading system
Fibonacci Active Timeframe Range [UkutaLabs]█ OVERVIEW
Fibonacci Active Timeframe Range is a precision intraday structure tool that uses real-time price expansion combined with Fibonacci ratios to map dynamic support and resistance levels directly from the active timeframe.
Rather than relying on fixed historical averages, this indicator continuously builds a live range from current price action, projecting Fibonacci-derived levels that adapt to market conditions as they develop.
The goal is to give traders a clear structural framework for:
Intraday bias
Reaction zones
Volatility expansion
Pullback levels
Continuation targets
—all in a clean, visual format that integrates seamlessly into any strategy or system.
█ USAGE
The indicator calculates the current timeframe range in real time, anchoring from the active session’s open and projecting multiple Fibonacci levels within that range.
These levels act as dynamic support and resistance zones, updating as price evolves — allowing traders to:
Identify high-probability reaction areas
Define structure for entries and exits
Frame risk more precisely
Align trades with real-time volatility
Anticipate expansion and contraction phases
Each level is clearly labeled for instant recognition and can be used across scalping, intraday, and short-term swing strategies.
█ SETTINGS
Configuration
• Show Labels – Toggle labels on/off for a clean or informational view
• Display Mode – Control how much historical structure is visible
• Font Size – Adjust label size for readability
• Text Alignment – Align labels relative to each level
• Fibonacci Levels – Enable/disable specific ratios
• Range Mode – Select how the current timeframe range is calculated
Open Interest [OI] & Liquidation Flow█ THE DUAL-ENGINE ARCHITECTURE: A FUSION OF TWO CRITICAL FORCES
The power of this suite comes from its dual-engine design. It isolates and analyzes the two opposing forces that truly drive modern markets: the informed positioning of institutions and the often-misguided sentiment of the retail crowd. A high-probability trade signal is only generated at the precise moment these two forces come into critical conflict.
ENGINE 1: The Open Interest (OI) & Position Flow Engine
This is your lens into the institutional world. Its primary function is to track the flow of money into and out of the market, revealing the true intent of large players.
Live OI Integration: In a groundbreaking feature for TradingView, this engine includes a Smart Symbol Detector that automatically seeks and integrates LIVE Open Interest data for supported markets (CME, Binance, Bybit, etc.). When available, you are seeing a direct feed of net new positions entering the market.
12-Factor Synthetic OI Model: When live OI data is not available, the engine synthesizes a high-fidelity proxy by analyzing 12 distinct factors, including Cumulative Volume Delta (CVD), Absorption, Effort vs. Result, and Institutional Bias.
Curvature Analysis: We don't just look at the flow; we analyze its Velocity and
Acceleration . A sharp acceleration in bullish OI Flow is a powerful sign that institutions are aggressively building long positions.
INTERPRETATION: This engine tells you what the "smart money" is doing. A divergence—where price is falling but OI Flow is rising—is a classic sign that institutions are quietly absorbing retail panic, often preceding a violent reversal upwards.
ENGINE 2: The Liquidation Flow & Crowd Engine
This engine operates on a powerful contrarian philosophy: the market is designed to inflict maximum pain on the largest number of participants. It identifies when the retail "herd" is over-leveraged and positioned for a fall.
Crowd Positioning Model: It analyzes factors like extreme RSI levels, deviation from Fair Value (VWAP), and "chase behavior" (e.g., many consecutive bullish candles) to determine when the retail crowd is dangerously over-exposed.
Risk Analysis: It synthesizes multiple risk factors—crowding, momentum divergence, exhaustion—into a single, easy-to-read Liquidation Risk percentage .
Fear & Greed Skew: It measures the volatility skew in the options market to provide a direct gauge of market-wide fear and greed, adding a final layer of sentimental context.
HOW TO USE IT: This is your liquidation radar. When Liquidation Risk is HIGH and the Crowd is positioned heavily LONG, the market is primed for a long squeeze (a liquidation cascade downwards). Conversely, when the Crowd is heavily SHORT, a short squeeze is highly probable.
█ THE SECRET SAUCE: UNIVERSAL ADAPTABILITY
The genius of this engine lies in its ability to work on any asset, in any timeframe, without manual recalibration. This is achieved through Z-Score Normalization . Every piece of data is converted from a raw value into a statistical score representing its deviation from the "norm." A +2.0 sigma event represents an extreme outlier, whether it's on a 1-minute chart of a crypto asset or a daily chart of a stock. This makes the signals universally comparable and allows the engine to automatically adapt to the unique volatility and character of any market.
█ THE ARSENAL: MASTERING THE VISUALS & ON-CHART TOOLS
Every visual element is a data-rich component designed for rapid, intuitive interpretation.
The Lower Pane Visualizer
This is your primary intelligence dashboard, with four distinct modes to view the underlying market forces:
Classic Flow (Default): A multi-column view perfect for spotting divergences between price and the underlying flow of money and sentiment.
Heatmap Matrix: A color-density grid designed to identify "cluster" events where multiple engines light up simultaneously, signaling institutional consensus.
Oscillator Pro: A zero-centered line visualization for traders who prefer crossover and momentum-style analysis.
Delta Waterfall: A unique cascading visualization that shows the cumulative "weight" of the market, stacking the pressure from each engine to reveal the dominant force.
Main Chart Overlays
BUY/SELL Signals: These are the primary, high-conviction reversal signals. They are not simple crossovers; they are the result of a rigorous confirmation process where institutional OI Flow directly conflicts with a vulnerable retail Liquidation Flow.
Minor Triangles (▲▼): Secondary momentum signals that are excellent for scalping, confirming a trend, or adding to a winning position.
Supply/Demand Zones: When a strong, institutionally-backed signal fires, the script automatically plots a defended zone (Red for Supply, Green for Demand), highlighting future high-probability reversal areas.
Key Levels: Automatically extends lines from significant highs and lows where a major flow reversal occurred, highlighting critical support and resistance.
High Risk Diamonds (💎): A critical risk management tool. These markers appear when conditions are ripe for a liquidation cascade. This is an explicit warning to take profits or stand aside.
The Dashboard (HUD)
Your at-a-glance command center, displaying real-time, mission-critical data:
Z-Scores for OI Flow Velocity & Acceleration: See the raw, normalized momentum of the institutional flow.
Crowd Sentiment Status: Instantly know if the market is dangerously "CROWDED" or balanced.
Liquidation Risk %: A numerical gauge from 0-100% showing the probability of a violent flush.
Live Data Status: Confirms whether the engine is using LIVE OI data or the PRO synthetic model.
Optimizer Readout: When enabled, shows the backtest results of your current settings.
█ THE COMMAND CENTER: MASTERING THE INPUTS
This suite offers deep customization for the professional trader.
Analysis Length: The "memory" of the flow engine. Use shorter lengths (10-14) for scalping and longer lengths (21+) for swing trading.
Signal Sensitivity: A master control to switch between Conservative (fewer, higher-quality signals), Normal (balanced), and Aggressive (more frequent signals for scalping) modes.
Display Toggles: Individually enable or disable any of the core components in the lower pane to create your perfect analytical view.
Overlay Controls: Individually toggle all on-chart visuals and control the maximum number of Zones and Key Levels to maintain a clean workspace.
█ THE OPTIMIZER ENGINE: VALIDATE BEFORE YOU TRADE
Confidence comes from data. The built-in Optimizer Engine is a powerful backtester that runs on your chart's visible data. It allows you to rapidly test different ATR-based Take Profit and Stop Loss parameters, providing key metrics like Win Rate, Profit Factor, and a proprietary Stability Rating ( ROBUST, STABLE, FRAGILE, OVERFIT ) to help you find the most statistically sound settings for your specific asset and timeframe before risking capital.
█ DEVELOPMENT PHILOSOPHY
This indicator was born from a single, guiding principle: to win in modern markets, you must stop listening to the noise of price and start analyzing the signal of flow. Price is where amateurs look; flow is where professionals find their edge. This tool is our attempt to level the playing field, translating the opaque world of derivatives and institutional positioning into a clear, intuitive, and actionable intelligence system.
This tool is for the serious student of the market—the trader who seeks to understand the "why" behind the move, not just the "what."
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence, not financial advice. It should be used as a core component of a comprehensive trading strategy that includes your own analysis of market structure and risk management.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose. This indicator does not guarantee profits.
SIGNAL HIERARCHY IS KEY: Treat the main BUY/SELL labels as your primary signals. Use the minor triangles to add to positions or for scalping. Use the High Risk diamonds as a signal to reduce exposure and take profits.
MULTI-TIMEFRAME ANALYSIS: For the highest probability setups, use the indicator on a higher timeframe (e.g., 1H) to establish an institutional bias, then take signals on a lower timeframe (e.g., 5m) that align with that bias.
"The game of speculation is the most uniformly fascinating game in the world. But it is not a game for the stupid, the mentally lazy, the person of inferior emotional balance, or the get-rich-quick adventurer. They will die poor."
— Jesse Livermore
Taking you to school. - Dskyz, Trade with Open Interest. Trade with Liquidity. Trade with Open Interest & Liquidation Flow
Trend Pulse Oscillator█ OVERVIEW
Trend Pulse Oscillator is a momentum oscillator that combines short-term trend strength analysis (price deviation from a dynamic trend line) with optional reference to a higher timeframe trend context. It visualizes market pulse through smoothed oscillator waves, fixed overbought/oversold levels, and zero-line cross signals indicating momentum shifts.
The indicator assists in identifying potential entry points after strong moves, early signs of exhaustion or direction change, and supports decision-making by providing longer-period trend awareness
█ CONCEPT
Built upon the SwiftTrend logic. The core idea is to measure how far price deviates from the adaptive trend line (margin line). Greater deviation in the direction of the trend indicates stronger momentum. When price returns toward the trend line — especially from overbought or oversold zones — it often signals a correction or potential reversal.
- The oscillator displays the deviation of price from the trend line and applies user-selected smoothing (EMA, SMA, RMA, WMA).
- The longer-period trend controls candle coloring (SwiftTrend candles) and can be used discretionarily as a directional bias/filter for signals.
- The color of the oscillator itself depends solely on whether the smoothed value is above or below zero (green above, red below).
Fixed OB/OS levels and the zero line help visually evaluate the strength of the deviation. Areas significantly above the OB level or below the OS level indicate extreme price stretch away from the trend line and increased probability of mean reversion.
█ FEATURES
Calculations
- Average candle body size — calculated separately for oscillator and longer-period trend
- Dynamic trend line (adaptive margin line) + fixed OB / OS threshold levels
- Multiple oscillator smoothing options
- Momentum expressed as oscillating waves
- Detection of OB/OS crossovers and zero-line breaks
Visualization
- Oscillator waves colored according to sign (green above zero, red below zero)
- Fixed OS level (oversold) — gray, dashed line
- OB level (overbought) — color reflects the current longer-period trend direction (green when price is above the longer-period trend line, red when below)
- OB and OS levels frequently displayed with light gradient fill for readability (OB gradient inherits HTF trend color; OS gradient remains neutral/gray)
- Optional SwiftTrend candle coloring — candles colored according to longer-term trend direction and strength (gradient intensity)
- Transparent, layered fill under oscillator waves (stronger near the wave, fading toward zero)
Signals
- Long / Short — triggered on crossover/crossunder of OB/OS levels (with anti-duplication logic per wave)
- Zero Line Long / Zero Line Short — zero-line break confirmed by candle color direction
- Longer-period trend change — visual and alert when longer-term trend flips
- Important: There is no automatic filtering of OB/OS or zero-line signals by the longer-period trend — traders should apply longer-period trend bias manually
Alerts
- Long Signal
- Short Signal
- Zero Line Long
- Zero Line Short
- Longer-Period Trend Change
█ HOW TO USE
Add the indicator via Pine Editor (paste the code) or search for “Trend Pulse Oscillator” in the TradingView public library.
Main settings
- Osc Average Body Periods – averaging period for oscillator body size
- Osc Band Multiplier / Tolerance Multiplier – controls width and sensitivity of oscillator bands
- Smoothing Type / Length – smoothing method and period for the oscillator wave
- Trend Average Body Periods / Band / Tolerance – parameters for the longer-period trend line
- Overbought Level / Oversold Level – fixed threshold values
- Enable Candle Coloring – turns on SwiftTrend-style candle coloring based on the longer-period trend
- Gradient & fill options – control visibility and transparency of gradients and wave fills
Trend & candle coloring logic
- Price above trend line → bullish (green tones)
- Price below trend line → bearish (red tones)
█ APPLICATION
Momentum trading
- Direction and slope of oscillator waves indicate current impulse strength
- Return toward zero or zero-line cross can serve as an early warning of correction or reversal
Trend following
- The longer-period trend acts as a discretionary directional filter
- Highest-probability approach: take signals primarily in the direction of the longer-period trend
Overbought / Oversold
- Fixed OB/OS levels mark zones of extreme deviation from the trend line
- Large extensions away from the trend line increase the likelihood of pullback or reversal
█ NOTES
- This is a supporting tool — never use it as a standalone trading system
- Best results are achieved when combined with key support/resistance levels, market structure analysis, and longer-period trend context
- OB/OS crosses and zero-line breaks are orientation points only — always validate them against the broader trend picture
Advanced Trend Navigator by S B PrasadAdvanced Trend Navigator – by S B Prasad
A Professional Multi-Engine Trend & Breakout Trading System
Advanced Trend Navigator is a powerful, all-in-one trading indicator that combines smart EMA trend detection, adaptive filters, ribbon trend analysis, automatic trend channels, divergence detection, and built-in SL/Target projection into a single, visually intuitive system.
It is designed for both scalpers and swing traders, with special optimization for 1-minute charts and robust performance on higher timeframes.
🔹 Core Features
1️⃣ Smart EMA Trend Engine
Dual EMA crossover system (Fast & Slow)
Automatic optimization for 1-minute timeframe
Detects:
Trend direction
Trend reversals
Momentum shifts
2️⃣ Multi-Layer Signal Filters
Signals are validated using a powerful filter stack:
Volume Filter (above-average volume confirmation)
RSI Filter with dynamic buy/sell thresholds
Bollinger Bands (overbought / oversold zones)
Momentum Filter (ROC-based strength detection)
Volatility Adaptation (ATR-based regime detection)
These filters dramatically reduce false signals and noise.
3️⃣ RSI Divergence Detection (1-Minute Optimized)
Bullish and bearish divergence detection
Automatic confidence boost when divergence appears
Helps identify early trend reversals and exhaustion zones
4️⃣ Enhanced Signal Logic
Signals are generated using a confluence of:
EMA crossovers
Candle direction
Volume + RSI + BB + Momentum
Divergence + trend-change logic
Separate logic is used for:
1-minute scalping
Higher-timeframe trend trading
5️⃣ Ribbon Trend System (CoraWave + LazyLine)
Advanced smoothed ribbon using:
CoraWave (fast line)
LazyLine (slow line)
Dynamic color-changing trend visualization
Ribbon fill highlights:
Strong bullish zones
Strong bearish zones
Neutral / transition phases
6️⃣ Automatic Trend Channel
Pivot-based dynamic trend channels
ATR-adjusted channel width
Auto-extended support & resistance structure
Visual map of evolving trend direction
7️⃣ Buy / Sell Breakout Signals (No-Spam Logic)
Signals only when:
Ribbon trend agrees
Price breaks channel boundaries
Built-in cooldown filter to prevent over-trading
Separate engine from EMA signals for dual confirmation
8️⃣ Built-In SL / Target Projection
Automatic Stop-Loss based on channel boundary
Risk-based Target 1 and Target 2 (R-multiples)
Dynamic plotting of:
SL line
Target 1 line
Target 2 line
9️⃣ Smart Time & Profit Projection
ATR-based time-to-move estimation
Dynamic profit potential estimation
Displays:
Expected move duration (minutes)
Approximate profit projection
🔟 Confidence Scoring System
Dynamic confidence % for each signal
Automatically increases when:
Divergence is detected
Bollinger extremes are triggered
🎨 Visual & Usability Features
Color-coded:
EMA lines
Ribbon trend
Trend channels
Background trend bias
Dynamic:
LONG / SHORT arrows
Signal labels with confidence + projection
Current trend status box
🔔 Alerts Included
EMA-based LONG / SHORT alerts
Ribbon fast/slow trend change alerts
Channel breakout BUY / SELL alerts
Alert messages include:
Symbol
Confidence %
Time projection
🛠 Recommended Usage
Scalping:
1-minute or 3-minute charts
Enable Volume, RSI, Momentum, and Volatility filters
Intraday / Swing Trading:
5-minute to Daily charts
Use EMA + Ribbon + Channel confluence
5-Minute Scalping Settings
(High-probability intraday trades)
🔹 EMA Settings
Fast EMA: 5
Slow EMA: 13
🔹 Filters
Volume Filter
Use Volume Filter: ✅ ON
Volume Threshold: 1.2
RSI Filter
Use RSI Filter: ❌ OFF
(Turn ON only in very choppy markets)
RSI Length: 14
RSI Buy Level: 30
RSI Sell Level: 70
Bollinger Bands
Use Bollinger Bands: ✅ ON
BB Length: 20
BB Multiplier: 2.0
Momentum Filter (ROC)
Use Momentum: ❌ OFF
(Turn ON only for breakout-only trading)
Momentum Length: 3
Momentum Threshold %: 0.10
Volatility Adaptation
Use Volatility Adaptation: ❌ OFF
(Enable only for highly volatile stocks / crypto)
Volatility Multiplier: 1.5
🔹 Ribbon Settings
Fast Length: 12
Fast Smooth: 3
Slow Length: 18
Show Ribbon Fill: ✅ ON
🔹 Trend Channel
Pivot Length: 7
ATR Length: 14
Channel Width (ATR): 1.7
🔹 Buy / Sell Signals
Show Buy / Sell Signals: ✅ ON
Signal Cooldown (Bars): 25
🔹 SL / Target Projection
Show SL / Target Projection: ✅ ON
Target 1 (R): 1.0
Target 2 (R): 2.5
🔹 Visual / Display (Optional)
Show BB on Chart: ❌ OFF (keep chart clean)
Background Transparency: 80
Value to Display: Time (recommended for scalping)
🎯 How to Trade (5-Minute Mode)
Take BUY when:
Fast EMA > Slow EMA
Ribbon is green + rising
Price breaks above upper channel
Volume filter passes
Buy arrow appears
Take SELL when:
Fast EMA < Slow EMA
Ribbon is red + falling
Price breaks below lower channel
Volume filter passes
Sell arrow appears
❌ Avoid Trades When
Ribbon is flat or mixed colors
Channel is very narrow
Price is inside the channel
Volume filter fails
⚠️ Disclaimer
This indicator is a technical analysis tool, not financial advice.
Always use proper risk management and confirm signals with market context.
Past performance does not guarantee future results.
Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized)# Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized)
## 🧮 Core Mathematical Concept
**The Key Formula**: This indicator subtracts RSI's own EMA from the RSI value, divides the result by its standard deviation to create a Z-score, then applies sigmoid normalization to map it into a 0-1 range (displayed as 0-100).
**In Simple Terms**:
```
Z-Score = (RSI - RSI_EMA) / Standard_Deviation
Sigmoid = 1 / (1 + e^(-k × Z-Score))
Final Output = Sigmoid × 100
```
This mathematical approach transforms raw RSI momentum into a statistically normalized oscillator that better identifies genuine trend changes while filtering out noise.
---
## 📊 What This Indicator Does
This advanced momentum oscillator combines RSI analysis with statistical normalization to identify overbought/oversold conditions and momentum shifts with greater precision than traditional RSI alone.
**Core Innovation**: Uses Z-score normalization and sigmoid transformation to convert RSI deviations into a smooth 0-100 scale, reducing noise while maintaining sensitivity to genuine market movements.
---
## 🔧 How It Works
### 1. **RSI Foundation**
- Calculates standard RSI over your chosen period (default: 14)
- Applies an EMA smoothing line to identify the RSI trend
### 2. **Statistical Normalization**
- Measures deviation between RSI and its EMA
- Calculates Z-score (standard deviations from mean)
- Normalizes extreme values while preserving relative strength
### 3. **Sigmoid Transformation**
- Maps Z-scores to a 0-100 scale using sigmoid function
- Creates smooth transitions between bullish/bearish zones
- Reduces false signals from RSI whipsaws
### 4. **RSI Bollinger Bands**
- Adds dynamic overbought/oversold bands around RSI
- Adapts to market volatility automatically
- Confirms extreme conditions when RSI breaches bands
### 5. **Momentum Histogram**
- Visualizes rate of change in normalized momentum
- Green bars = strengthening bullish momentum
- Red bars = strengthening bearish momentum
---
## 📈 How to Use
### **Primary Signals**
**Sigmoid Oscillator (Thick Line)**
- **Above 50** = Bullish momentum dominant
- **Below 50** = Bearish momentum dominant
- **Crossing 50** = Potential trend change
**Extreme Zones**
- **Above 70** = Overbought (green background) - Consider taking profits or preparing for reversal
- **Below 30** = Oversold (red background) - Watch for potential bounce or reversal
### **Confirmation Signals**
**RSI Bollinger Band Breaches** (Purple background)
- RSI above upper band = Extremely overbought
- RSI below lower band = Extremely oversold
- Strong confirmation when paired with sigmoid extremes
**RSI vs RSI EMA Crossovers**
- Purple line (RSI) crossing above orange line (EMA) = Early bullish signal
- Purple line crossing below orange line = Early bearish signal
**Momentum Histogram**
- Growing green bars = Accelerating bullish momentum
- Growing red bars = Accelerating bearish momentum
- Shrinking bars = Momentum weakening (potential reversal warning)
---
## ⚙️ Parameter Settings
### **RSI Period** (Default: 14)
- Lower (7-10) = More responsive, more signals
- Higher (20-30) = Smoother, fewer false signals
- Recommended: Keep at 14 for most timeframes
### **RSI EMA Period** (Default: 14)
- Controls smoothness of RSI trend line
- Match to RSI period for standard behavior
- Increase for longer-term trend identification
### **Standard Deviation Period** (Default: 20)
- Lookback window for Z-score calculation
- Lower = More sensitive to recent changes
- Higher = More stable, slower to react
### **Sigmoid Sensitivity (k)** (Default: 1.0)
- **0.5-0.8** = Smoother, less extreme readings
- **1.0-1.5** = Balanced sensitivity
- **2.0+** = More aggressive, reaches extremes faster
- Adjust based on asset volatility
### **Bollinger Band Multiplier** (Default: 2.0)
- Standard deviation multiplier for RSI bands
- **1.5** = Tighter bands, more frequent signals
- **2.5-3.0** = Wider bands, only extreme moves
---
## 💡 Trading Strategies
### **Strategy 1: Momentum Continuation**
1. Wait for sigmoid to break and hold above 70 (bullish) or below 30 (bearish)
2. Confirm with growing momentum histogram in same direction
3. Enter in direction of momentum when RSI breaks Bollinger bands
4. Ride the trend until sigmoid crosses back through 50 or momentum histogram shrinks
5. This indicator excels at catching strong, sustainable momentum moves
### **Strategy 2: Momentum Breakout**
1. Identify sigmoid consolidation near 50
2. Watch for strong break above 70 or below 30
3. Confirm with growing momentum histogram
4. Enter in direction of break, exit when momentum weakens
### **Strategy 3: Divergence Detection**
1. Compare price action to sigmoid oscillator
2. Bullish divergence: Price makes lower low, sigmoid makes higher low
3. Bearish divergence: Price makes higher high, sigmoid makes lower high
4. Enter when sigmoid confirms with 50-line cross
### **Strategy 4: Multi-Timeframe Confluence**
1. Use on higher timeframe (4H/Daily) for trend direction
2. Use on lower timeframe (15M/1H) for entry timing
3. Only take trades when both timeframes align
4. Increases win rate significantly
---
## ⚠️ What to Watch For
### **Best Conditions**
- ✅ Trending markets with clear momentum
- ✅ Assets with decent volatility (not too choppy)
- ✅ When multiple signals align (sigmoid + bands + histogram)
- ✅ Confirmed with price action or volume
### **Difficult Conditions**
- ❌ Sideways, choppy markets (generates false signals)
- ❌ Low volatility periods (sigmoid may not reach extremes)
- ❌ Major news events (can cause extreme whipsaws)
- ❌ Very low timeframes (<5min) - too much noise
### **Common Pitfalls**
- Don't trade sigmoid extremes blindly - wait for reversal confirmation
- Don't ignore the momentum histogram - it shows strength of moves
- Don't use in isolation - combine with support/resistance, volume, etc.
- Don't over-optimize parameters - default settings work well for most assets
---
## 📋 Risk Disclaimers
**IMPORTANT:** This indicator is for educational purposes only and is NOT financial advice. All trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management, backtest thoroughly, and consult a licensed financial advisor before making trading decisions. The creator assumes no liability for your trading results. **Trade at your own risk.**
---
## 🔍 Additional Considerations
### **Combine With:**
- Support and resistance levels
- Volume analysis
- Trend indicators (moving averages)
- Price action patterns
- Market structure analysis
### **Timeframe Recommendations:**
- **Scalping (1-5min)**: Lower RSI period (7-10), higher sigmoid sensitivity
- **Day Trading (15min-1H)**: Default settings work well
- **Swing Trading (4H-Daily)**: Increase all periods by 50-100%
- **Position Trading (Weekly)**: Double all default periods
### **Asset-Specific Tips:**
- **Crypto**: Often more volatile - consider k=0.8 for smoother signals
- **Forex**: Works well on major pairs with default settings
- **Stocks**: May need slight adjustments per stock volatility
- **Indices**: Very effective with standard parameters
---
## 📝 Credits & Sharing
Feel free to share this indicator! If you make modifications or improvements, consider sharing back with the community.
**Version**: 5
**Created for**: TradingView Pine Script
**Category**: Oscillators / Momentum
---
*Happy Trading! Remember: The best indicator is the one between your ears. Always think critically and trade responsibly.* 📊✨
ADX Curvature SuiteADX² Curvature Suite: Beyond Trend Strength
Detect Trend Ignition Before the Crowd by Analyzing the Second Derivative of Momentum.
█ OVERVIEW: A PARADIGM SHIFT IN TREND ANALYSIS
This is not another ADX indicator. This is a complete paradigm shift in how we perceive and trade trends.
The standard Average Directional Index (ADX) is a powerful but fundamentally flawed tool for the modern trader. It is a lagging indicator. It tells you that a trend existed . It confirms what has already happened. The ADX² Curvature Suite was engineered to solve this problem by asking a more profound question: not "Is there a trend?" but " Is a trend being born right now? " and " Is this established trend about to die? "
To achieve this, we go beyond the first dimension of trend strength and venture into the second and third dimensions: Velocity and Acceleration . We don't just measure the ADX value; we measure its rate of change, and the rate of change of its rate of change. This is Curvature Analysis . It allows us to see the subtle, invisible forces building beneath the surface of the market—the coiling spring of momentum right before a trend explodes, and the critical loss of thrust right before it collapses.
This suite is a fusion of three professional-grade analytical engines working in perfect concert:
The Curvature Engine: A sophisticated calculus-based system that computes the 1st and 2nd derivatives of the ADX to quantify its momentum.
The Phase Detection System: A proprietary model that classifies the market into one of six distinct phases in a trend's lifecycle, from Dormancy to Exhaustion.
The Quantum Vortex Bands™: A visually stunning, adaptive volatility and momentum channel for the ADX itself, providing context to its every move.
Together, they form a comprehensive decision-support system designed to give you an almost unfair advantage in identifying trend ignition and exhaustion points before the rest of the market has even registered a change.
█ THE SCIENCE: THE THREE PILLARS OF ADX²
The genius of this suite lies in its multi-layered mathematical foundation. It's a symphony of classical theory and modern statistical analysis.
Pillar 1: The Core ADX Engine (The "What")
At its base, the suite uses the classic ADX calculation developed by J. Welles Wilder Jr. It measures the strength of a trend, irrespective of its direction, on a scale of 0-100. The Directional Movement Indicators (+DI and -DI) provide the directional bias. This is our foundation—the raw data from which we extract a higher-dimensional truth.
Pillar 2: Curvature Analysis (The "When")
This is the revolutionary core of ADX². We apply the principles of differential calculus to the ADX line itself.
Velocity (1st Derivative): Calculated as ADX - ADX . This is the speed of the ADX. A positive velocity means trend strength is increasing. A negative velocity means it's decreasing. This is a leading indicator compared to the ADX value alone.
Acceleration (2nd Derivative): Calculated as Velocity - Velocity or ADX - 2*ADX + ADX . This is the change in speed of the ADX. It's the "force" being applied to the trend.
Positive Acceleration is like pressing the gas pedal on a car. It signifies a trend is not just strengthening, but strengthening at an increasing rate. This is the mathematical signature of Ignition .
Negative Acceleration is like hitting the brakes. It signifies a trend is losing thrust, even if its speed (ADX value) is still high. This is the mathematical signature of Exhaustion .
By analyzing these derivatives, we can identify critical inflection points in trend momentum that are completely invisible to anyone looking at the standard ADX alone.
Pillar 3: Z-Score Normalization (The "How")
Raw acceleration values are meaningless when comparing different assets or timeframes. An acceleration spike on NQ is vastly different from one on EURUSD. To solve this, we employ a powerful statistical tool: the Z-Score .
The Z-Score formula is: Z = (Value - Mean) / Standard_Deviation
We apply this to our calculated acceleration values. The result is a normalized score that tells us how many standard deviations away from the "normal" behavior the current acceleration is. A Z-Score of +2.0 means the current acceleration is a 2-sigma event—statistically significant and rare. This makes our signals universal and adaptive . A +2.0 sigma Ignition signal has the same statistical weight on a 1-minute chart of a volatile crypto as it does on a daily chart of a stable stock. This is what allows the suite to work out-of-the-box on virtually any market, automatically adapting to its unique volatility and character.
█ THE SIX PHASES OF A TREND: A MARKET LIFECYCLE
The ADX² engine uses its curvature and Z-Score data to classify the market into one of six distinct phases, providing a clear, color-coded narrative of the trend's lifecycle.
💤 DORMANT: ADX is low and flat. The market is consolidating. There is no trend. This is the time to stand aside and wait.
⚡ IGNITION: ADX is low, but a powerful spike in positive acceleration has been detected. The engine of a new trend is firing up. This is your earliest entry signal.
🚀 ACCELERATION: ADX is rising with positive velocity. The trend has left the station and is gaining momentum. This is the main "trend following" phase.
🏔 MATURE: ADX is high and its velocity is flattening. The trend is well-established and powerful, but no longer accelerating. This is a time to be cautious and manage positions.
🔥 EXHAUSTION: ADX is high, but a significant negative acceleration event has occurred. The trend has hit the brakes hard. A reversal or deep pullback is highly probable. This is your primary exit signal.
📉 DECLINE: ADX is falling with negative velocity. The trend's strength is actively fading, and the market is returning to a dormant state.
█ THE ARSENAL: MASTERING THE VISUALS
Every visual element is a data-rich component designed for rapid interpretation.
The Main Chart: Signals & Trade Management
Signal Shapes: Every signal appears as a shape on the main chart.
Triangles (▲▼): These are the highest conviction signals— Ignition and
Exhaustion . Their color indicates the specific event type.
X-Crosses (◇): These mark Divergences between price and ADX—powerful reversal warnings.
Kill Zone Labels: These are dynamic, floating labels that appear in real-time when high-probability conditions are met.
⚡ IGNITION ZONE: Appears below price when the market is dormant but curvature is building. It's a "prepare to engage" warning.
🔥 EXHAUSTION ZONE: Appears above price when the trend is mature but rapidly decelerating. It's a "prepare to exit" warning.
The Signal Line System: When a signal fires, a full trade management overlay can be drawn.
Entry Line: A colored line (Solid, Dashed, or Dotted) at the signal price.
SL/TP Lines: Dotted lines showing ATR-based Stop Loss (Red) and up to 3 Take Profit levels (Green).
Live Tracking: The lines track progress, dimming when a TP is hit and self-deleting upon completion, leaving a ✓ for a win or an ✗ for a loss. It's a visual backtester on your live chart.
The Lower Pane: The Engine Room
The ADX Line: The line itself is color-coded. A dull color indicates low ADX, a neutral color for a building trend, and a bright, vibrant color for a high, mature trend.
Signal Dots: Colored circles and crosses are plotted directly on the ADX line, allowing you to instantly correlate the signal with the exact ADX level and phase.
The Quantum Vortex Bands™: This is not a Bollinger Band. This is a dynamic, six-layered channel for the ADX itself.
Adaptive Width: The bands expand and contract based on both ADX volatility and its current acceleration (curvature). High acceleration forces the bands wider, anticipating a larger move.
Phase-Adaptive Colors: The fill color of the bands changes dynamically to match the currently detected market phase, giving you an at-a-glance understanding of the trend's health.
Interpretation: When ADX pushes to the outer bands, it's in an extreme state. An Ignition signal when ADX is at the lower band is a high-conviction entry. An Exhaustion signal when ADX is at the upper band is a high-conviction exit.
The Dashboard (HUD): Your All-In-One Command Center
This professional Heads-Up Display provides a comprehensive, real-time summary of every critical metric.
MARKET Section: Shows the raw ADX value, its strength classification (e.g., "STRONG"), and the current directional bias (Bulls vs. Bears) with the spread between +DI and -DI.
MOMENTUM Section: This is the curvature readout. It displays the numerical Velocity (VEL), the Z-Score of the Curvature (CURV), and the RSI of the ADX (RSI²) for a meta-momentum perspective.
PHASE Section: Your at-a-glance trend lifecycle status. It shows the current confirmed phase icon and name (e.g., "⚡ IGNITION"), a counter for how many bars the phase has been active, and the type/strength of any active signal.
STATUS Section: A quick check on secondary systems. It confirms if you are in a Kill Zone, if a Divergence is active, and the count of active Signal Lines on your chart.
OPTIMIZER Section: When enabled, this section displays the results of the built-in backtester, including Win Rate, Profit Factor, and a proprietary Stability Rating ( ROBUST, STABLE, FRAGILE, OVERFIT ) to help you validate your settings.
█ THE COMMAND CENTER: MASTERING THE INPUTS
Every parameter of the ADX² engine is exposed for your control. This allows for unparalleled fine-tuning to any market, timeframe, or trading style.
Core ADX & Curvature Settings
ADX/DI Length & Smoothing: Standard ADX parameters. How to use: Shorter lengths (e.g., 10) for scalping; longer lengths (e.g., 21) for swing trading. Stick to "RMA" smoothing for the classic feel.
Curvature Smoothing: This is the "secret sauce." It smooths the velocity and acceleration calculations. How to use: Use a low value (2-3) for volatile markets or low timeframes to remain responsive. Use a higher value (4-5) for smoother signals on higher timeframes.
Z-Score Lookback & Threshold: Controls the normalization engine. How to use: The Lookback (default 50) sets the "memory" for what is "normal." The Threshold is for the generic curvature spike signals (circles). A higher value (e.g., 2.5σ) will only show extreme events.
Signal Detection Settings
Ignition/Exhaustion Thresholds: The Z-Score level required to trigger the primary phase-change signals. How to use: A lower threshold (e.g., 1.0σ) will give earlier, more frequent signals with more false positives. A higher threshold (e.g., 2.0σ) will give later, less frequent, but higher-conviction signals.
Low/High ADX Levels: These define the boundaries for the phases. Low ADX (default 20) is the ceiling for the Dormant phase. High ADX (default 40) is the floor for the Mature phase. How to use: For choppy markets, you might raise the Low ADX to 22 to avoid false ignitions. For strongly trending markets, you might lower the High ADX to 35 to get earlier exhaustion warnings.
Min Bars Between Signals: A crucial spam filter. It enforces a "cooldown period" after a signal fires, preventing over-trading in choppy conditions.
Signal Lines & Trade Management
SL/TP Multipliers (xATR): Fully customize the risk-to-reward profile of the visual trade overlays. The system uses the Average True Range (ATR) for volatility-adaptive targets. How to use: For day trading, a 1.5 ATR Stop Loss and 1.0, 2.0, 3.0 ATR Take Profits is a balanced approach. For swing trading, you might use a wider 2.5 ATR stop and more ambitious targets.
Quantum Vortex Bands™
Band Mode: Choose from four distinct geometric configurations ( Triple Layer, Fractal Cloud, Momentum Tunnel, Phase Spectrum ) to visually optimize the bands for your specific market type—from high-volatility crypto to tight-ranging indices.
Band Width Multiplier: The master control for the overall width of the bands, allowing you to tune them to be tighter or wider based on your instrument's character.
The Optimizer Engine
Toggle the built-in backtester to rapidly test your settings. Adjust the optTP and optSL to find the most ROBUST configuration for your chart's visible data before committing to a strategy.
█ DEVELOPMENT PHILOSOPHY
The ADX² Curvature Suite was born from a deep dissatisfaction with the static, lagging nature of conventional technical analysis. We believe the future of trading lies not in measuring where the market has been, but in quantifying the forces that will determine where it is going next. By applying calculus and adaptive statistics to a classic indicator, we've created a tool that doesn't just show you the trend; it reveals its DNA. It is complex by necessity, because the market is complex. My mission is to translate that complexity into actionable clarity.
This suite is my attempt to provide the ultimate tool for "sizing up the entire market," giving you the ability to see the very inception and conclusion of those main movements where the real money is made.
█ DISCLAIMER AND BEST PRACTICES
THIS IS NOT A STANDALONE SYSTEM: The ADX² Suite is an advanced decision-support tool. It should be used in conjunction with your own analysis of price action, support/resistance, and market structure.
RISK MANAGEMENT IS PARAMOUNT: All trading involves risk. The visual SL/TP lines are for guidance only. Always use proper position sizing and risk management protocols. This indicator does not guarantee profits.
BACKTEST AND OPTIMIZE: Use the built-in Optimizer Engine and TradingView's Strategy Tester to find the settings that are most robust for your chosen instrument and timeframe before trading live.
HIGH-CONVICTION SETUPS: The highest probability signals occur when multiple factors align: An Ignition signal fires from a low ADX level, near the bottom of the Vortex Bands, in a confirmed Kill Zone, and in the direction of the higher timeframe bias.
"The big money is not in the individual fluctuations, but in the main movements – that is, not in reading the tape, but in sizing up the entire market and its trend."
— Jesse Livermore
Taking you to school. - Dskyz, Trade with probability. Trade with anticipation. Trade with ADX².
SilverHawk SmoothHA DuoSilverHawk SmoothHA Duo
This indicator plots dual smoothed Heiken Ashi candles (10/10 fast + 20/20 slow) for trend confirmation.
Features:
- Fast (10/10) smoothed HA candles (lime/red)
- Slow (20/20) smoothed HA candles (lighter lime/red)
- Alignment note (middle-left): shows if 10/10 and 20/20 match (bull/bear/not aligned)
- Alerts on trend flips (bullish/bearish for each layer or any flip)
Settings:
- Show 10/10 or 20/20 candles: toggle visibility
- Len / Len2: smoothing periods (default 10/10 and 20/20)
- Colors: customize bullish/bearish gradients
- Show Alignment Note: toggle status text
- Enable Alerts: toggle flip alerts
- Trigger On Bar Close Only: non-repainting alerts
Best used on H1 to D1 timeframes in Forex or indices for confirming trend direction and alignment. Use with proper risk management and confirmation.
Educational tool only. Not financial advice. Trading involves risk.
ES 1m EMA Bounce Scalp - High RR v6# MES/ES 1-Minute EMA Bounce Scalp – High RR with Partial & Trailing (100% Win Rate in Backtest Oct 2025–Jan 2026)
**Overview**
This is a high-probability, mean-reversion / trend-continuation scalping system designed for the Micro E-mini S&P 500 (MES) or E-mini S&P 500 (ES) on the **1-minute chart**. It enters on pullback bounces off the 20-period EMA during intraday sessions, using RSI momentum confirmation, volume filter, and ADX trend strength to select high-quality setups.
The core edge comes from:
- Tight initial stop (4 points)
- 50% partial profit at 1:1 RR (locks in quick wins and moves stop to breakeven)
- Remaining 50% trails aggressively (trail offset 2 points) to let winners run to 8–10 points (1:2+ effective RR)
**Key Features**
- Longs & Shorts symmetric (pullback bounce logic)
- Trades only during US RTH (9:30–16:00 ET)
- Filters: RSI >40 (long) / <60 (short), volume > 20-SMA, ADX(14) >20
- No martingale, no pyramiding, one trade at a time
- Bracket + trailing managed automatically in Pine Script
**Backtest Highlights** (Oct 23, 2025 – Jan 21, 2026 on ES1!)
- Total trades: 107
- Win rate: 100% (0 losers)
- Net profit (1 contract): $20,227.50 after commissions
- Commissions: $322.50 (~$3 round-trip)
- Max open (floating) drawdown: –$3,275 (never realized a loss)
- Avg P&L per trade: ~$189 (≈3.78 points net)
- Longs: 45 trades, avg hold ~2.2 hours
- Shorts: 62 trades, avg hold ~8.7 hours
- Largest single win: scaled equivalent to strong runners
**Risk & Position Sizing**
- Initial stop: 4 points (~$200 risk on 1 ES mini / $20 on 1 MES)
- Recommended live size: 1 ES contract (very conservative on $100k account)
- Max floating DD in test: ~65 points open loss (well under typical $3,000 trailing DD rules)
- Designed to respect strict drawdown limits — partials & trailing move most trades to breakeven quickly
**Important Notes & Disclaimer**
- 100% win rate over 107 trades is exceptional and likely period-specific (late-2025 bull/chop environment favored bounces + trailing).
- Forward-test / paper trade required before live capital. Real slippage, news events, and execution delays may reduce performance.
- Not financial advice. Past performance ≠ future results. Use at your own risk.
- Best used with low-commission futures broker (Tradovate, AMP, IBKR, etc.) and 1-contract sizing to start.
**How to Use**
1. Apply to MES1! or ES1! on 1-minute chart
2. Set alerts for entries (built-in strategy alerts work perfectly)
3. Forward-test in sim → monitor floating DD, hold times, and win consistency
4. Manual or webhook auto-execution (e.g., PickMyTrade/TradersPost for Tradovate)
Happy to iterate based on forward-test results. Share your live stats!
Cheers,
Chris Brown (@hockeybrown2011)
laurent//@version=5
indicator("Big Candle + Squeeze Dots (ATR + RSI + MACD + BB)", overlay=true, timeframe="", timeframe_gaps=true)
//---------------------------
// Inputs
//---------------------------
lenATR = input.int(14, "Période ATR")
multATR = input.float(2.5, "Grosse bougie : range > ATR * X", step=0.1)
lenBodyMA = input.int(20, "Période moyenne de corps")
useBodyMA = input.bool(true, "Filtrer par corps > moyenne")
// RSI / MACD
lenRSI = input.int(14, "Période RSI")
rsiOB = input.float(60, "RSI haussier min")
rsiOS = input.float(40, "RSI baissier max")
fastMACD = input.int(12, "MACD fast")
slowMACD = input.int(26, "MACD slow")
sigMACD = input.int(9, "MACD signal")
// Squeeze Bollinger
bbLen = input.int(20, "Période Bollinger")
bbMult = input.float(2.0, "Ecart-type Bollinger", step=0.1)
squeezeLen = input.int(20, "Période moyenne largeur BB")
squeezeMult = input.float(0.7, "Seuil squeeze (largeur BB < moyenne * X)", step=0.05)
// Filtres
requireMomentum = input.bool(true, "Exiger RSI + MACD")
requireSqueeze = input.bool(true, "Exiger un squeeze juste avant")
squeezeLookback = input.int(5, "Nb de bougies max depuis squeeze", minval=1, maxval=50)
//---------------------------
// Calculs de base
//---------------------------
atr = ta.atr(lenATR)
rangeC = high - low
body = math.abs(close - open)
// moyenne de corps
bodyMA = ta.sma(body, lenBodyMA)
// RSI
rsi = ta.rsi(close, lenRSI)
// MACD
macdVal = ta.ema(close, fastMACD) - ta.ema(close, slowMACD)
macdSig = ta.ema(macdVal, sigMACD)
macdHist = macdVal - macdSig
//---------------------------
// Bollinger Bands + Squeeze
//---------------------------
basis = ta.sma(close, bbLen)
dev = bbMult * ta.stdev(close, bbLen)
upper = basis + dev
lower = basis - dev
bbWidth = (upper - lower) / basis
bbWidthMA = ta.sma(bbWidth, squeezeLen)
// squeeze = largeur BB inférieure à une fraction de sa moyenne
isSqueeze = bbWidth < bbWidthMA * squeezeMult
// Nombre de barres depuis le dernier squeeze
barsSinceSqueeze = ta.barssince(isSqueeze)
// Condition : on considère qu'on sort d'une zone de squeeze récente
hadRecentSqueeze = barsSinceSqueeze >= 0 and barsSinceSqueeze <= squeezeLookback
//---------------------------
// Conditions Wide Range Candle
//---------------------------
// 1) Bougie large vs ATR
wideByATR = rangeC > atr * multATR
// 2) Bougie large vs moyenne de corps (optionnel)
wideByBody = useBodyMA ? body > bodyMA : true
wideCandle = wideByATR and wideByBody
//---------------------------
// Direction + momentum
//---------------------------
bullBody = close > open
bearBody = close < open
bullMomentum = (rsi > rsiOB) and (macdHist > 0)
bearMomentum = (rsi < rsiOS) and (macdHist < 0)
condMomentumBull = requireMomentum ? bullMomentum : true
condMomentumBear = requireMomentum ? bearMomentum : true
condSqueeze = requireSqueeze ? hadRecentSqueeze : true
bullCond = wideCandle and bullBody and condMomentumBull and condSqueeze
bearCond = wideCandle and bearBody and condMomentumBear and condSqueeze
//---------------------------
// Affichage des points discrets
//---------------------------
// Petit point vert sous la bougie = grosse bougie haussière
plotshape(bullCond, title="Big Bull Candle (Squeeze + Mom.)", style=shape.circle,
location=location.belowbar, color=color.new(color.lime, 0), size=size.tiny)
// Petit point rouge au-dessus de la bougie = grosse bougie baissière
plotshape(bearCond, title="Big Bear Candle (Squeeze + Mom.)", style=shape.circle,
location=location.abovebar, color=color.red, size=size.tiny)
Cup & Handle Finder [theUltimator5]Cup & Handle Finder automatically scans your chart for Cup and Cup & Handle patterns—both bullish and bearish—and draws the structure when it meets quality rules. By default, the pattern detection is extremely strict, so it is very likely that no patterns will plot. This is intentional to reduce noise.
This indicator uses a unique cup detection algorithm that creates an ideal "cup" pattern algorithmically then checks whether or not the chart pattern fits within the ideal pattern with a margin of error that is user defined.
Think of it as two curves - an upper bound and a lower bound. If the chart stays between the upper and lower bound curves (and some other extra checks), it gets identified as a cup.
Once a cup is detected, it starts looking for a handle, which uses a secondary set of criteria. If all the criteria for the handle are met, then the cup and handle is confirmed, and a green arrow plots at the entry point.
If a handle starts to form and then doesn't confirm, a label is plotted that shows it was a failed cup and handle pattern.
If the handle confirms, a label plots that shows it was a confirmed pattern, plus the green arrow.
By default, cup patterns don't plot. You can toggle on cup patterns (cups that didn't continue into a handle pattern)
Key inputs
Minimum / Maximum Lookback: Controls the cup sizes (in bars) the scanner searches.
Breakout Source (Close vs High/Low): Close = stricter; High/Low = more sensitive.
Contained Bar Rate %: Main quality filter. Higher = fewer, cleaner patterns.
Show toggles: Cups, Cup & Handles, Failed Handles, Confirmation Triangles.
Direction filters: Enable Bullish Cups / Enable Bearish Cups.
Colors: Separate styling for bullish/bearish cups, handles, and confirmed/rejected states.
Alerts
Bullish/Bearish Cup Found
Bullish/Bearish Cup & Handle Detected
Bullish/Bearish Cup & Handle Confirmed
Use as a structure/scan tool and pair with your own confirmation and risk management
SilverHawk Pattern + Trend ScannerSilverHawk Pattern + Trend Scanner
This indicator scans for common candle patterns (Evening/Morning Star, Engulfing, Kicker) and displays adaptive trend channels (short/long) with strength metrics.
Features:
- Candle patterns with reversal/continuation % heuristic
- Adaptive trend channels (best short/long length selected by Pearson R)
- ADX trend power and channel alignment note
Settings:
- Show specific patterns: toggle visibility
- Channel lengths: auto-selected based on best correlation
- Alerts on pattern detection
Best used on H1 to D1 timeframes in Forex or indices for pattern confirmation and trend analysis. Use with proper risk management and confirmation.
Educational tool only. Not financial advice. Trading involves risk.
