Multitime ATR with ATR Heat Line# Multi-Timeframe ATR Supertrend with ATH Finder
## Overview
This advanced Pine Script indicator combines multi-timeframe ATR-based Supertrend analysis with an All-Time High (ATH) tracking system. Designed for swing traders who need comprehensive trend analysis across multiple timeframes while monitoring key price levels.
## Key Features
### 1. Multi-Timeframe ATR Supertrend (1H, 4H, 1D)
- **1 Hour Supertrend** (Blue): Short-term trend identification
- **4 Hour Supertrend** (Purple): Medium-term trend confirmation
- **1 Day Supertrend** (Green/Red): Primary trend direction
- Each timeframe displays independent trend lines with customizable colors and visibility
### 2. Dual ATR Data System (1D Only)
- **Previous Day ATR** (lookahead_off): Used for main ATR lines - enables pre-market study and avoids intraday crossover issues
- **Current Day ATR** (lookahead_on): Used for Overheating Line calculation - provides real-time profit-taking signals
### 3. Overheating Line
- Dynamically calculated as: `1D ATR + (ATR Width × 1.3)`
- Orange line indicating potential overextension zones
- Uses current day real-time ATR for intraday decision-making
- Only displays during uptrends
- Customizable multiplier (default: 1.3)
### 4. ATH (All-Time High) Finder
- Automatically tracks and displays the all-time high with a horizontal line
- **Line Color**: Lime green (customizable)
- **Label System**:
- Green label when price is at ATH
- Red label when ATH is historical
- Toggle label visibility independently
- **Bug Fix**: Prevents vertical line display when ATH occurs on current bar
- Line extends to the right for easy visualization
### 5. Warning & Break Signals
Each timeframe provides two types of alerts:
- **Warning Signal** (⚠️): Price closes below uptrend line (potential reversal warning)
- **Break Signal** (⚡): Price closes above downtrend line (potential breakout)
- Smart timing intervals prevent signal spam:
- 1H: Checks every 4 hours (warning) / 1 hour (break)
- 4H/1D: Max 2 signals per day
### 6. Trend Change Indicators
- Small circles mark the exact bar where trend changes occur
- Color-coded for each timeframe
- Helps identify reversal points and trend strength
### 7. Master Control Switches
Efficiently manage all visual elements:
- **Master Highlighter**: Toggle all background fills on/off
- **Master Signals**: Toggle all warning/break signals
- **Master Up Trend**: Toggle all uptrend lines and circles
- **Master Down Trend**: Toggle all downtrend lines and circles
### 8. Fast Cut Lines (Optional)
- Additional support/resistance lines offset by a percentage from main ATR lines
- Useful for tighter stop-loss management
- Separate controls for up and down trends
- Default: OFF (customizable offset percentage)
### 9. Timeframe Visibility Control
- **Hide on Daily+**: Automatically hides indicators (except 1D ATR) on daily timeframes and above
- Reduces chart clutter on higher timeframes
- 1D ATR always visible regardless of chart timeframe
### 10. EMA Integration (Optional)
- Display 20/50/200 EMAs for confluence with ATR trends
- Toggle on/off independently
## Use Cases
### For Swing Traders
1. **Entry Timing**: Wait for multiple timeframe alignment (1H, 4H, 1D all in uptrend)
2. **Trend Confirmation**: Use trend change circles to identify momentum shifts
3. **Profit Taking**: Monitor Overheating Line for potential exit zones
### For Position Management
1. **Stop Loss Placement**: Use 1D ATR line or Fast Cut lines as dynamic stop levels
2. **Risk Assessment**: Distance between timeframe ATR lines indicates volatility
3. **Breakout Trading**: Break signals (⚡) identify potential breakout opportunities
### For Pre-Market Analysis
- 1D ATR uses previous day data, allowing traders to:
- Study support/resistance levels before market open
- Plan entry/exit strategies based on confirmed data
- Avoid false signals from incomplete daily candles
## Settings Guide
### ATH Finder Settings
- **Show ATH Line**: Toggle ATH line visibility
- **Show ATH Label**: Toggle ATH label display (can hide label while keeping line)
- **ATH Line Color**: Customize line color (default: lime)
- **ATH Line Width**: Adjust line thickness (1-5)
### Timeframe Settings (Each timeframe has independent controls)
- **ATR Period**: Lookback period for ATR calculation (default: 10)
- **ATR Multiplier**: Distance multiplier from price (default: 1.0)
- **Show Label**: Display " " / " " / " " text labels
- **Show Warning/Break Signals**: Toggle alert symbols
- **Highlighter**: Toggle background fill between price and ATR line
### Overheating Line Settings
- **Show Overheating Line**: Toggle visibility
- **Overheating Multiplier**: Adjust distance above 1D ATR (default: 1.3)
### Cut Lines Settings
- **Show Fast Cut Line (Up/Down)**: Toggle visibility
- **Fast Cut Offset %**: Percentage distance from ATR lines (default: 1.0%)
## Color Scheme
- **Current TF**: Green (up) / Red (down)
- **1H ATR**: Blue (#1848cc) / Dark Blue (#210ba2)
- **4H ATR**: Purple (#7b1fa2) / Dark Purple (#4e0f60)
- **1D ATR**: Green (#4caf50) / Dark Red (#8c101a)
- **Overheating Line**: Orange (#ff9800)
- **ATH Line**: Lime (customizable)
## Technical Notes
### ATR Calculation
- Uses True Range for volatility measurement
- Option to switch between SMA and EMA calculation methods
- Adapts to both volatile and stable market conditions
### Performance Optimization
- Maximum 500 lines and 500 labels to prevent memory issues
- Bar index limitations prevent historical data errors
- Efficient repainting prevention for 1D timeframe
### Alert System
Built-in alert conditions for:
- Buy/Sell signals (Current TF)
- Warning signals (all timeframes)
- Break signals (all timeframes)
## Best Practices
1. **Multiple Timeframe Confirmation**: Don't trade against higher timeframe trends
2. **Overheating Awareness**: Consider profit-taking when price reaches orange line
3. **ATH Monitoring**: Exercise caution near all-time highs (increased volatility risk)
4. **Signal Filtering**: Use warning signals as alerts, not immediate action triggers
5. **Stop Loss Management**: Place stops below the most relevant ATR line for your timeframe
## Version Information
- Pine Script Version: 5
- Indicator Type: Overlay
- Max Lines: 500
- Max Labels: 500
## Credits
Created by @yohei ogura with <3
Modified for Multi-Timeframe functionality with ATH tracking
"track"に関するスクリプトを検索
Microstructure Participation & Acceptance Indicator📊 Microstructure Participation & Acceptance Indicator
An advanced participation-based filter combining VWAP distance analysis, volume delta detection, and real-time acceptance/rejection state identification—designed for smaller timeframe trading.
📊 FEATURES
VWAP Distance Normalization
Context-aware fair value measurement:
Automatically resets based on selected anchor (Session/Week/Month)
ATR-normalized distance calculation for universal application
Identifies when price is extended or compressed relative to equilibrium
Configurable extreme distance threshold (default: 1.5 ATR)
Adjustable source input (default: HLC3)
Volume Delta Proxy
Bull vs Bear participation tracking:
Calculates volume imbalance between bullish and bearish candles
EMA smoothing for cleaner signal generation (default: 9 periods)
Delta ratio measurement to identify dominant side
Expansion/compression detection to gauge momentum commitment
Configurable expansion threshold (default: 1.3x)
Acceptance/Rejection State Machine
Real-time market regime identification with six distinct states:
🟢 Accepted Long
Price moving away from VWAP with expanding bullish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real buying pressure—trade WITH the move
🟢 Accepted Short
Price moving away from VWAP with expanding bearish delta
Distance from VWAP increasing
Volume confirming the move
Indicates real selling pressure—trade WITH the move
🟠 Fade Long
Price extended beyond threshold (>1.5 ATR above VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion short setup
🟠 Fade Short
Price extended beyond threshold (>1.5 ATR below VWAP)
Delta not supporting the extension
Volume participation absent or diminishing
Potential mean-reversion long setup
⚪ Chop
Price compressed near VWAP
Bollinger Bands tight (width compressed)
Delta neutral—no clear commitment
NO TRADE ZONE—wait for expansion
⚪ Neutral
Transitional state between regimes
Momentum shifting but not yet confirmed
Monitor for next acceptance signal
Bollinger Bands
Standard volatility measurement with TradingView default styling:
Adjustable period length (default: 20)
Configurable standard deviation multiplier (default: 2.0)
Visual fill between bands for volatility context
Used internally for chop/compression detection
Live Dashboard
Real-time metrics display (top-right corner):
Current market state with color coding
VWAP distance in ATR units
Delta ratio (bull/bear volume balance)
Delta state (Expanding/Compressing)
High-contrast design for instant readability
🎯 HOW TO USE
For Trend Trading:
Accepted Long/Short backgrounds indicate confirmed participation—stay with the trend
Strong moves typically travel 1-1.5 ATR from VWAP with delta support
Use VWAP as dynamic support/resistance
Combine with momentum indicators (MACD, RSI) for confluence
Price above VWAP + Accepted Long state = bullish bias
Price below VWAP + Accepted Short state = bearish bias
For Mean Reversion:
Fade Long/Short states signal overextension without participation
Price beyond 1.5 ATR from VWAP with weak delta = potential reversal
Look for price return to VWAP when extended
Bollinger Band extremes + Fade state = high-probability mean reversion setup
VWAP acts as mean reversion anchor during range-bound sessions
For Risk Management:
Chop state = avoid new entries
Bollinger Band compression + Chop = pre-expansion zone (wait for breakout)
Delta compression after strong move = early exhaustion warning
State transitions (Accepted → Neutral → Fade) = tighten stops
Signal Confirmation:
Strongest setups occur when multiple factors align:
BB breakout + Accepted state + price above/below VWAP
Price rejection at BB bands + Fade state
VWAP support/resistance hold + state transition
Delta expansion + distance increasing + trend direction
⚙️ SETTINGS
All components are fully customizable through organized input groups:
VWAP Distance Group:
VWAP source (default: HLC3)
Anchor period (Session/Week/Month)
ATR length for normalization (default: 14)
Extreme distance threshold in ATR multiples (default: 1.5)
Volume Delta Group:
Delta EMA length (default: 9)
Delta expansion threshold (default: 1.3)
Acceptance Logic Group:
Acceptance lookback period (default: 5)
Chop threshold in VWAP/ATR units (default: 0.3)
Bollinger Bands Group:
BB length (default: 20)
Standard deviation multiplier (default: 2.0)
Display Group:
Toggle state backgrounds
Toggle state change labels
Toggle VWAP line
Toggle Bollinger Bands
💡 EDUCATIONAL VALUE
This indicator teaches important concepts:
How institutional money identifies fair value (VWAP)
The difference between price movement and market acceptance
Why volume participation matters more than price action alone
How to distinguish between noise and committed directional moves
The relationship between volatility compression and expansion cycles
Why distance from equilibrium predicts mean reversion probability
⚠️ IMPORTANT NOTES
This indicator is for educational and informational purposes only
This is a filter, not a standalone trading system
No indicator is perfect—always use proper risk management
Past performance does not guarantee future results
Combine with your own analysis and risk tolerance
Test thoroughly on historical data before live trading
This is not financial advice—use at your own risk
🔧 TECHNICAL DETAILS
Pine Script Version 6
Overlay indicator (displays on price chart)
All calculations use standard, well-documented formulas
No repainting—all signals are confirmed on bar close
Compatible with all timeframes and instruments
Optimized for smaller timeframes (1-5 minute charts)
Minimal computational overhead
📝 CHANGELOG
Version 1.0
Initial release
VWAP distance normalization with ATR scaling
Volume delta proxy system (bull/bear EMA)
6-state acceptance/rejection state machine
Bollinger Bands integration
Real-time dashboard with live metrics
State change labels and background coloring
Full customization options
Developed for traders who need objective participation filters to distinguish high-probability setups from low-quality noise—without cluttering their charts with multiple indicator panels.
ADX Volatility Waves [BOSWaves]ADX Volatility Waves - Trend-Weighted Volatility Mapping with State-Based Wave Transitions
Overview
ADX Volatility Waves is a regime-aware volatility framework designed to map statistically significant price extremes through adaptive wave structures driven by trend strength.
Rather than treating volatility as a static dispersion metric, this indicator conditions all volatility expansion, contraction, and zone placement on ADX-derived trend intensity. Price behavior is interpreted through wave-like transitions between balance, expansion, and exhaustion states rather than isolated band interactions.
The result is a dynamic, gradient-based wave system that visually encodes volatility cycles and regime shifts in real time, allowing traders to contextualize price movement within trend-weighted volatility waves.
Price is evaluated not by static thresholds, but by its position and progression within adaptive volatility waves shaped by directional strength.
Conceptual Framework
ADX Volatility Waves is built on the premise that volatility unfolds in waves, not straight lines.
Traditional volatility tools identify dispersion but fail to account for how volatility behaves differently across trend regimes. By embedding ADX directly into volatility construction, this indicator ensures that volatility waves expand during strong directional phases and compress during weak or transitioning regimes.
Three guiding principles define the framework:
Volatility must be conditioned on trend strength
Extremes occur within zones, not at lines
Signals should emerge from completed wave transitions, not instantaneous touches
This reframes analysis from reactive mean-reversion toward regime-aware wave interpretation.
Theoretical Foundation
The indicator fuses directional movement theory with statistical volatility modeling.
Bollinger-derived dispersion provides the structural base, while ADX normalization controls the amplitude of volatility waves. As ADX increases, volatility waves widen and deepen; as ADX weakens, waves compress and tighten around equilibrium.
From this foundation, extended upper and lower wave zones are constructed and smoothed to represent statistically significant expansion and contraction phases.
At its core are three interacting systems:
ADX-Controlled Volatility Engine : Standard deviation is dynamically scaled using normalized ADX values, producing trend-weighted volatility waves.
Wave Zone Construction : Smoothed volatility boundaries are offset and expanded to form upper and lower wave zones, defining overextension and compression regions.
State-Based Wave Transition Logic : Signals occur only after price completes a full wave cycle: expansion into an extreme wave zone followed by a confirmed return to equilibrium.
This structure ensures that signals reflect completed volatility waves, not transient noise.
How It Works
ADX Volatility Waves processes price action through layered wave mechanics:
Trend-Weighted Volatility Calculation : Volatility boundaries are dynamically adjusted using ADX influence, allowing wave amplitude to scale with trend strength.
Structural Smoothing : Volatility boundaries are smoothed to stabilize wave geometry and reduce short-term distortions.
Wave Offset & Expansion : Upper and lower wave zones are positioned beyond equilibrium and expanded proportionally to volatility range, forming clearly defined expansion waves.
Gradient Wave Depth Mapping : Each wave zone is subdivided into multiple gradient layers, visually encoding increasing extremity as price moves deeper into a wave.
Wave State Tracking & Cooldown Control : The system tracks prior wave occupancy, enforces neutral stabilization periods, and applies cooldowns to prevent overlapping wave signals.
Compression Detection : Volatility width monitoring identifies compression phases, highlighting conditions where new volatility waves are likely to form.
Together, these processes create a continuous, adaptive wave map of volatility behavior.
Interpretation
ADX Volatility Waves reframes market reading around volatility cycles:
Upper Volatility Waves (Red Gradient) : Represent upside expansion phases. Deeper wave penetration indicates increased overextension relative to trend-adjusted volatility.
Lower Volatility Waves (Green Gradient) : Represent downside expansion phases. Sustained presence signals pressure, while exits toward balance suggest wave completion.
Equilibrium Zone : The neutral region between volatility waves. Confirmed re-entry into this zone marks the completion of a wave cycle and forms the basis for BUY and SELL signals.
Regime Context via ADX : Strong ADX regimes widen waves, reducing premature reversal signals. Weak ADX regimes compress waves, increasing sensitivity to reversion.
Wave progression and completion matter more than single-bar interactions.
Signal Logic & Visual Cues
ADX Volatility Waves produces single-entry BUY and SELL labels as its visual cues, plotted only when price first enters a volatility wave zone after the defined cooldown period.
Buy Signal (Bottom Zone Entry) : A BUY label appears when price enters the lower volatility wave (oversold zone). This highlights potential expansion into undervalued extremes, providing visual context for trend assessment rather than a guaranteed execution trigger.
Sell Signal (Top Zone Entry) : A SELL label appears when price enters the upper volatility wave (overbought zone). This marks potential overextension into upper volatility extremes, serving as a contextual indicator of trend stress.
All labels respect cooldown tracking to prevent clustering. Alerts are tied directly to these zone-entry signals, and a separate alert monitors volatility squeezes for awareness of compression periods.
Strategy Integration
ADX Volatility Waves integrates cleanly into volatility-aware trading frameworks:
Wave Context Mapping : Use wave depth to assess expansion and exhaustion risk rather than forcing immediate entries.
Transition-Based Execution : Prioritize BUY and SELL signals formed after confirmed wave completion.
Trend-Regime Filtering : In strong ADX regimes, treat waves as continuation pressure. In weak regimes, favor completed wave reversions.
Volatility Cycle Awareness : Monitor compression phases to anticipate the emergence of new volatility waves.
Multi-Timeframe Alignment : Apply higher-timeframe ADX regimes to contextualize lower-timeframe wave behavior.
Technical Implementation Details
Core Engine : ADX-normalized volatility expansion
Wave System : Smoothed, offset, expanded volatility waves
Visualization : Multi-layer gradient wave zones
Signal Logic : State-based wave transitions with cooldown enforcement
Alerts : Wave entry, wave completion, volatility compression
Performance Profile : Lightweight, real-time optimized overlay
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Short-term volatility waves and intraday transitions
15 - 60 min : Structured intraday wave cycles
4H - Daily : Macro volatility regimes and expansion phases
Suggested Baseline Configuration:
BB Length : 20
BB StdDev : 1.5
ADX Length : 14
ADX Influence : 0.8
Wave Offset : 1.0
Wave Width : 1.0
Neutral Confirmation : 5 bars
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Markets exhibiting rhythmic volatility expansion and contraction
Assets with responsive ADX regime behavior
Reduced Effectiveness:
Erratic, news-driven price action
Illiquid markets with distorted volatility metrics
Integration Guidelines
Confluence : Combine with BOSWaves structure or trend tools
Discipline : Respect wave completion and cooldown logic
Risk Framing : Interpret wave depth probabilistically, not predictively
Regime Awareness : Always contextualize waves within ADX strength
Disclaimer
ADX Volatility Waves is a professional-grade volatility and regime-mapping tool. It does not predict price and does not guarantee profitability. Performance depends on market conditions, parameter calibration, and disciplined execution. BOSWaves recommends using this indicator as part of a comprehensive analytical framework incorporating trend, volatility, and structural context.
FX Session High/Low Bands - Last 5 EST Days
FX Session High/Low Bands - Last 5 Days
Description:
This indicator plots horizontal bands representing the high and low price levels from the major forex trading sessions over the last 5 days. It helps traders identify key support and resistance zones based on recent session activity.
Features:
Multiple Session Tracking: Displays high/low levels for major FX sessions:
Asian Session (Tokyo)
European Session (London)
US Session (New York)
5-Day Lookback: Captures the highest high and lowest low from each session over the previous 5 trading days
Visual Bands: Clear horizontal lines or filled zones showing session boundaries
Dynamic Updates: Automatically recalculates as new session data becomes available
How to Use:
Support/Resistance: Previous session highs/lows often act as key price levels
Breakout Trading: Watch for price breaking above/below session bands
Range Trading: Trade within the bands during consolidation periods
Session Overlap: Pay attention to multiple session bands converging
Ideal For:
Forex day traders
Session-based trading strategies
Support/resistance identification
Multi-timeframe analysis
Z-Score & StatsThis is an advanced indicator that measures price deviation from its mean using statistical z-scores, combined with multiple analytical features for trading signals.
Core Functionality-
Z-Score Calculation Engine:
The indicator uses a custom standardization function that calculates how many standard deviations the current price is from its rolling mean. Unlike simple moving averages, this provides a normalized view of price extremes. The calculation maintains a sliding window of data points, efficiently updating mean and variance values as new data arrives while removing old data points. This approach handles missing values gracefully and uses sample variance (rather than population variance) for more accurate statistical measurements.
Statistical Zones & Visual Framework:
The indicator creates a visual representation of statistical probability zones:
±1 Standard Deviation: Encompasses about 68% of normal price behavior (green zone)
±2 Standard Deviations: Covers approximately 95% of price movements (orange zone)
±3 Standard Deviations: Represents 99.7% probability range (red zone)
±3.5 and ±4 Thresholds: Extreme outlier levels that trigger special alerts
The z-score line changes color dynamically based on which zone it occupies, making it easy to identify the current market extremity at a glance.
Advanced Features:
Volume Contraction Analysis
The script monitors volume patterns to identify periods of reduced trading activity. It compares current volume against a moving average and flags when volume drops below a specified threshold (default 70%). Volume contraction often precedes significant price moves and is factored into the optimal entry detection system.
Momentum-Based Direction Model:
Rather than just showing current z-score levels, the indicator projects where the z-score is likely to move based on recent momentum. It calculates the rate of change in the z-score and extrapolates forward for a specified number of bars. This creates a directional arrow that indicates whether conditions are bullish (negative z-score with upward momentum) or bearish (positive z-score with downward momentum).
Divergence Detection System:
The script automatically identifies four types of divergences between price action and z-score behavior :-
Regular Bullish Divergence: Price makes lower lows while z-score makes higher lows, suggesting weakening downward pressure
Regular Bearish Divergence: Price makes higher highs while z-score makes lower highs, indicating exhaustion in the uptrend
Hidden Bullish Divergence: Price makes higher lows while z-score makes lower lows, confirming trend continuation in an uptrend
Hidden Bearish Divergence: Price makes lower highs while z-score makes higher highs, confirming downtrend continuation
The system uses pivot detection with configurable lookback periods and distance requirements, then draws connecting lines and labels directly on the chart when divergences occur.
Yearly Statistics Tracking:
The indicator maintains historical records of maximum z-score deviations over yearly periods (configurable bar count). This provides context by showing whether current extremes are unusual compared to typical annual ranges. The average yearly maximum helps traders understand if the current market is exhibiting normal volatility or exceptional conditions.
Mean Reversion Probability:
Based on the current z-score magnitude, the indicator calculates and displays the statistical probability that price will revert toward the mean. Higher absolute z-scores indicate stronger mean reversion probabilities, ranging from 38% at ±0.5 standard deviations to 99.7% at ±3 standard deviations.
Comprehensive Statistics Table:
A customizable on-chart table displays real-time statistics including:
Current z-score value with directional indicator
Predicted z-score based on momentum
Current year's maximum absolute z-score
Historical average yearly maximum
Mean reversion probability percentage
Zone status classification (Normal, Moderate, High, Extreme)
Directional bias (Bullish, Bearish, Neutral)
Active divergence status
Volume contraction status with ratio
Optimal setup detection (combining extreme z-scores with volume contraction)
Optimal Entry Setup Detection:
The most sophisticated feature identifies high-probability trading setups by combining multiple factors. An "Optimal Long" signal triggers when z-score reaches -3.5 or below AND volume is contracted. An "Optimal Short" signal appears when z-score exceeds +3.5 AND volume is contracted. This combination suggests extreme price deviation occurring on low volume, often preceding strong reversals.
Alert System:
The script includes a unified alert mechanism that triggers when z-score crosses specific thresholds:
Crossing above/below ±3.5 standard deviations (extreme levels)
Crossing above/below ±4 standard deviations (critical levels)
Alerts fire once per bar with confirmation (previous bar must be on opposite side of threshold) to avoid false signals.
Practical Application:
This indicator is designed for mean reversion traders who seek statistically significant price extremes. The combination of z-score measurement, volume analysis, momentum projection, and divergence detection creates a multi-layered confirmation system. Traders can use extreme z-scores as potential reversal zones, while the direction model and divergence signals help time entries more precisely. The volume contraction filter adds an additional layer of confluence, identifying moments when reduced participation may precede explosive moves back toward the mean.
Chart Attached: NSE GMR Airports, EoD 12/12/25
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice.Happy Trading
Smart Money Alpha Signals (Performance Dashboard) Smart Money Alpha Signals: Identifying Market Leaders & Generating Alpha
GMP Alpha Signals (Global Market Performance Alpha) is a specialized analysis tool designed not merely to find stocks that are rising, but to identify "Alpha" assets—Market Leaders that defend their price or rise even under adverse conditions where the market index falls or consolidates.
This indicator visualizes the concept of Comparative Relative Strength (RS) and Smart Money accumulation patterns, helping traders capture profit opportunities even during bearish market phases.
Key Objectives (Purpose)
Alpha Capture: Identifying assets generating 'excess returns' that outperform the market Beta.
Smart Money Tracking: Detecting traces of 'institutional buying' and 'accumulation' that defend prices during index plunges.
Decoupling Identification: Spotting assets moving on independent catalysts or momentum, regardless of the broader market direction.
Stop Hunt Filtering: Distinguishing 'fake drops' where price dips temporarily, but Relative Strength remains intact.
Dashboard Guide
Interpretation of the information panel (Table) displayed on the chart.
Rel. Performance: Shows the excess return compared to the index over the set period. (Positive/Green = Stronger than the market).
Decoupling Strength: The correlation coefficient with the index. Lower values (0 or negative) indicate movement independent of market risk.
Bullish: The count/rate of rising or limiting losses when the index drops sharply (e.g., < -0.5%). (Gold = Market Crash Leader).
Defended: The count/rate of holding support levels when the index shows mild weakness (e.g., < -0.05%). (Gold = Strong Accumulation).
Bench. Defense: The defense rate of the comparison benchmark (e.g., TSLA, ETH). Your target asset must be higher to be considered the sector leader.
Input Options & Settings Guide
You can optimize settings according to your trading style and asset class (Stocks/Crypto).
(1) Main Settings
Major Index: The baseline market index for comparison.
(US Stocks: NASDAQ:NDX or TVC:SPX / Crypto: BINANCE:BTCUSDT)
Benchmark Symbol: A competitor within the sector.
(e.g., Set NVDA when analyzing Semiconductor stocks).
Correlation Lookback: The lookback period for judging decoupling. (Default: 30)
Performance Lookback: The number of bars to calculate cumulative returns and defense rates. (Default: 60)
(2) Dashboard Thresholds
These settings define the criteria for what qualifies as "Defended" or "Bullish".
Performance (Max %): Used to find assets that haven't pumped yet. Signals trigger only when Alpha is below this value.
Defended Logic:
Index Drop Condition: The index must drop by at least this amount to start checking. (e.g., -0.05%)
Asset Buffer: How much the asset must outperform the index drop.
(Example: If Index drops -1.0% and Buffer is 0.2%, the asset must be at least -0.8% to count as 'Defended').
Bullish Logic: Measures resilience during steeper market dumps (e.g., -0.5% drop) compared to the Defended Logic.
Volume Settings: Decides whether to count Defended/Bullish instances only when accompanied by volume above the SMA.
(3) Signal Logic Settings (Crucial)
Customize conditions to trigger alerts. The choice between AND / OR is crucial.
AND: Condition must be met SIMULTANEOUSLY with other active conditions (Conservative/High Certainty).
OR: Condition triggers the signal INDEPENDENTLY (Aggressive/Opportunity Capture).
Performance: Is the relative performance within the threshold? (Basic Filter).
Decoupling: Has the correlation dropped? (Start of independent move).
Bullish Rate: Is the Bullish rate high during market dumps?
Defended Rate (High): (Recommended) Is there continuous price defense occurring? (Accumulation detection).
Defended Rate (Low): (Warning) Has the defense rate broken down? (For Stop Loss).
Defended > Benchmark: Is it stronger than the Benchmark (2nd tier)?
Volume Spike: Has volume surged compared to the average? (Institutional involvement).
RSI Oversold: Is it in oversold territory? (Counter-trend trading).
Decoupling Move: Does the current bar show the "Index Down / Asset Up" pattern?
Min USD Volume: Transaction value filter (To exclude low liquidity assets).
Adaptive Volatility Stop by Pedro Paulo de MeloStop ATR is a clean and reliable volatility-based trailing stop system, built to adapt dynamically to market conditions using the Average True Range (ATR).
It identifies trend direction, adjusts the stop level using stair-step logic, and automatically flips the stop when price reversals occur.
How it works
Uses ATR × Multiplier to calculate an adaptive volatility buffer
Tracks trend direction internally
Recomputes and repositions the stop when a trend flip is detected
Plots separate lines for bullish and bearish stop states
Works on any market and timeframe (crypto, forex, commodities, indices, stocks)
Why it’s useful
This Stop ATR implementation is extremely stable and visually clean.
It is particularly effective for:
Trend following
Position management
Swing and position trading
Systematic stop placement
Unlike many ATR-based stop versions, this script uses a corrected flip-handling method that prevents stop misalignment and ensures consistent trend state tracking.
Inputs
Period — ATR length
Multiplier — ATR factor that defines stop distance
Author
Developed by Pedro Paulo de Melo, open-source version.
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
UT Bot Pro Max (Maks Edition)Script v2.0
UT Bot Pro Max is an advanced, high-precision evolution of the well-known UT Bot indicator.
This version is fully rebuilt into a complete decision-making system that evaluates trend structure, volatility conditions, momentum signals, and entry quality.
It is designed for traders who want clear, structured signals supported by objective filters and transparent reasoning.
1. Core Engine: ATR-Based Trailing Logic
At the heart of the system is an ATR dynamic trailing stop.
It is responsible for:
detecting trend reversals
identifying breakout conditions
switching between long and short bias
determining signal strength
Unlike simple ATR lines, this engine adapts to momentum expansion and contraction, forming the backbone for every signal.
2. Three-Tier Signal Structure
Each signal is classified into one of three levels based on the number of confirmations:
Strong Signals
ATR breakout
trend filter (price relative to EMA200)
RSI filter (oversold/overbought context)
This is the highest-quality confirmation and is suitable for full-size entries.
Medium Signals
ATR breakout
trend filter
(no RSI filter)
This represents a valid trend continuation but with slightly reduced confirmation.
Weak Signals
ATR breakout only
(no trend filter, no RSI filter)
This is an early-stage impulse which can evolve into a stronger move.
The multi-level classification allows the trader to size positions rationally and avoid over-committing during uncertain market conditions.
3. Move-Since-Entry Tracking
When a new long or short position is detected, the indicator records the entry price and automatically tracks the percentage movement from that point.
This offers:
real-time monitoring of open trade performance
objective context for managing exits
clear visualization of progress since entry
4. Smart State-Change Alerts
Instead of simple “BUY” or “SELL” messages, the script sends highly structured alerts whenever the internal state changes.
Each alert includes:
the symbol and timeframe
signal direction and strength
recommended position size based on signal tier
ATR values
RSI value and its state
trend context (bullish, bearish, neutral)
distance from ATR trailing stop
movement since entry
previous state reference (optional)
This makes it ideal for automated systems, algorithmic routing, or Telegram-based signal delivery.
5. Professional On-Chart Status Table
The indicator displays a refined information panel containing:
current signal state (Strong / Medium / Weak / Hold)
ATR signal direction
trend filter result
RSI value and condition
distance to trailing stop (percentage)
current position (long / short / flat)
entry recommendation based on signal strength
ATR value and additional context in expanded mode
There is also a compact mode optimized specifically for mobile trading.
6. Optional Heikin Ashi Mode
The indicator can operate using Heikin Ashi close values for traders who prefer smooth, noise-reduced visualizations.
The internal logic is recalculated automatically.
7. Trend-Colored Candles
An optional feature allows candle coloring based on price position relative to the ATR stop line, highlighting bullish and bearish phases directly on the chart.
What This Indicator Provides
Accurate, context-aware entry signals
Scalable position sizing through multi-tier structure
Objective trend confirmation
Breakout detection with volatility adaptation
Continuous tracking of open position performance
Detailed real-time explanations through alerts
A complete visual dashboard consolidating all key metrics
UT Bot Pro Max (Maks Edition) is built as a practical tool for daily trading.
It is suitable for scalping, day trading, swing trading, automated alerts, and mobile workflows.
Linda Raschke 5 SMA Reversal [LuciTech]How This Indicator Works:
-5 SMA Tracking: Calculates a 5-period simple moving average and plots it on the chart.
-Extension Counter: Counts consecutive bars where price closes above or below the 5 SMA.
-BUY Signals (Green Up Arrow): Triggers when price closes BELOW the 5 SMA after 7+ consecutive closes ABOVE it—indicates a reversal opportunity into dynamic support.
-SELL Signals (Red Down Arrow): Triggers when price closes ABOVE the 5 SMA after 7+ consecutive closes BELOW it—indicates a reversal bounce setup.
-No Repainting: Signals only plot on confirmed bar closes; no repainting issues.
Linda Raschke's Core Principles:
-Extended Run = Imbalance: When price stays above/below the 5 SMA for 7+ bars, it's a one-sided market; mean reversion is likely.
-First Cross = Trigger: The first close back across the SMA after an extension is the reversal signal, not every touch.
-No Setup? No Trade: Without a prior extension or "three-bar balance" filter, a 5 SMA tag is noise. The model requires the prior momentum condition.
-Uptrend Buys: In uptrends, buy dips to the SMA (dynamic support) as long as the weekly/monthly trend is intact.
-Downtrend Fades: In downtrends, treat first rallies above the SMA as bounce fades into lower lows (especially after 14+ bars below).
VaCs Pro Max by CS (Final Version - V9)VaCs Pro Max by CS (Final Version - V9) – TradingView Indicator Overview
Introduction:
The VaCs Pro Max indicator is a comprehensive, all-in-one technical analysis tool designed for traders who seek a clear, visual, and flexible overview of market trends, levels, sessions, and key signals. This advanced TradingView script integrates multiple technical indicators, market level trackers, session visualizations, and the innovative AlphaTrend module to provide actionable insights across any timeframe.
1. Technical Indicators:
This module combines essential trend-following and market momentum tools:
VWAP (Volume Weighted Average Price): Shows the average price weighted by volume, helping traders identify key support/resistance levels. Customizable color allows easy chart visibility.
EMAs (Exponential Moving Averages): Two EMAs (fast and long) track short-term and long-term price trends. Traders can adjust lengths and colors for personalized analysis.
Parabolic SAR: Highlights potential trend reversals with dots above/below candles. Step and maximum settings allow fine-tuning for sensitivity.
S2F Bands (Stock-to-Flow): A dynamic band system representing mid, upper, and lower levels derived from EMA. Useful for identifying overbought/oversold zones.
Logarithmic Growth Channel (LGC): Provides logarithmic regression channels, highlighting long-term price structure and growth trends. Adjustable length and band colors.
Linear Regressions: Two regression lines (short and long) detect trend directions and deviations over customizable periods.
Liquidity Zones: Highlights recent highs/lows over a defined lookback period, showing potential support/resistance clusters.
SMC Markers (Swing Market Context): Marks pivot highs and lows using visual labels, helping identify swing points and trend continuation patterns.
2. Market Levels:
Track weekly and Monday high/low levels for precise intraday and swing trading decisions:
Weekly Levels: Highlight the previous week’s high and low for reference.
Monday Levels: Focus on the day’s opening range, particularly useful for weekly breakout strategies.
3. Session Boxes (UTC):
Visual boxes mark major trading sessions (London, New York) in UTC time:
London Session Box: Highlights market activity between 08:00–16:30 UTC.
New York Session Box: Highlights market activity between 13:30–20:00 UTC.
Boxes automatically adjust to session highs and lows for clear intraday structure visualization.
4. Vertical Session Lines (Turkey Time – UTC+3):
These vertical lines provide an easy-to-read visualization of key market opens and closes:
US (NYSE), EU (LSE), JP (TSE), CN (SSE) lines: Color-coded and labeled, showing market opening and closing times in Turkish local time.
Ideal for identifying session overlaps and liquidity spikes.
5. AlphaTrend Module:
The AlphaTrend module is a dynamic trend-following system offering both visual guidance and trade signals:
Trend Calculation: Uses ATR and RSI/MFI logic to determine dynamic trend levels.
Signals: Generates BUY and SELL markers based on trend crossovers.
Customizable Settings: Multiplier, period, source input, and volume data modes allow tailored sensitivity.
Visuals: Filled areas between main and lag lines highlight trend direction, making it easy to interpret market bias at a glance.
Alerts: Includes multiple alert conditions such as potential and confirmed BUY/SELL, and price crossovers, suitable for automated notifications.
Usage & Benefits:
All modules have on/off toggles in the input panel, allowing users to customize the chart view without losing performance.
Color-coded visuals, session boxes, and trend channels improve readability, especially during high volatility.
Suitable for day trading, swing trading, and long-term analysis due to multi-timeframe adaptability.
The combination of trend indicators, liquidity zones, and session analysis provides a holistic view of market structure.
Alerts enable traders to automate monitoring without constantly staring at the chart.
Conclusion:
VaCs Pro Max by CS (V9) is designed for both professional and semi-professional traders who want an all-inclusive, visually intuitive, and highly configurable TradingView indicator. It merges classical technical indicators with modern trend and session analysis tools, making it an indispensable tool for informed trading decisions.
J&A Sessions & NewsProject J&A: Session Ranges is a precision-engineered tool designed for professional traders who operate based on Time & Price. Unlike standard session indicators that clutter the chart with background colors, this tool focuses on Dynamic Price Ranges to help you visualize the Highs, Lows, and liquidity pools of each session.
It is pre-configured for Frankfurt Time (Europe/Berlin) but is fully customizable for any global location.
Key Features
1. Dynamic Session Ranges (The Boxes) Instead of vertical stripes, this indicator draws Boxes that encapsulate the entire price action of a session.
Real-Time Tracking: The box automatically expands to capture the Highest High and Lowest Low of the current session.
Visual Clarity: Instantly see the trading range of Asia, London, and New York to identify breakouts or range-bound conditions.
2. The "Lunch Break" Logic (Unique Feature) Institutional volume often dies down during lunch hours. This indicator allows you to Split the Session to account for these breaks.
Enabled: The script draws two separate boxes (Morning Session vs. Afternoon Session), allowing you to see fresh ranges after the lunch accumulation.
Disabled: The script draws one continuous box for the full session.
3. Manual High-Impact News Scheduler Never get caught on the wrong side of a spike. Since TradingView scripts cannot access live calendars, this tool includes a Manual Scheduler for risk management.
Input: Simply input the time of high-impact events (e.g., CPI, NFP) from ForexFactory into the settings.
Visual: A dashed line appears on the chart at the exact news time.
Audio Alert: The system triggers an alarm 10 minutes before the event, giving you time to manage positions or exit trades.
Default Configuration (Frankfurt Time)
Asian Session: 01:00 - 10:00 (Lunch disabled)
London Session: 09:00 - 17:30 (Lunch: 12:00-13:00)
New York Session: 14:00 - 22:00 (Lunch: 18:00-19:00)
How to Use
Setup: Apply the indicator. The default timezone is Europe/Berlin. If you live elsewhere, simply change the "Your Timezone" setting to your local time (e.g., America/New_York), and the boxes will align automatically.
Daily Routine: Check the economic calendar in the morning. If there is a "Red Folder" event at 14:30, open the indicator settings and enter 14:30 into the News Scheduler.
Trade: Use the Session Highs and Lows as liquidity targets or breakout levels.
Settings & Customization
Timezone: Full support for major global trading hubs.
Colors: Customize the Box fill and Border colors for every session.
Labels: Rename sessions (e.g., "Tokyo" instead of "Asia") via the settings menu.
Session Range Boxes GR v2.1This indicator draws intraday range boxes for the main Forex sessions based on Europe/Budapest time (CET/CEST).
Tracked sessions (Budapest time):
Asia: 01:00 – 08:00
Frankfurt (pre-London): 08:00 – 09:00
London: 09:00 – 18:00
New York: 14:30 – 23:00
For each session, the script:
Detects the session start and session end using the current chart timeframe and the Europe/Budapest time zone.
Tracks the high and low of price during the session.
Draws a colored box from session open to session close, covering the full price range between the session high and low.
Draws a white midline inside every box at the midpoint between the session high and low (and keeps it visible for all past sessions).
Optionally plots a small label (“Asia”, “Fra”, “London”, “NY”) above the first bar of each session.
Color scheme:
Asia: soft orange box
Frankfurt: light aqua box
London: darker blue box
New York: light lime box
Use this tool to:
Quickly see which session created the high or low of the day,
Highlight important liquidity zones and prior session ranges that price may revisit,
Visually separate Asia, Frankfurt, London and New York volatility profiles on intraday charts.
Optimized for intraday trading (Forex / indices), but it works on any symbol where session behavior and time-of-day structure matter.
Session Range Boxes (Budapest time) GR V2.0Session Range Boxes (Budapest time)
This indicator draws intraday range boxes for the main Forex sessions based on Europe/Budapest time (CET/CEST).
Tracked sessions (Budapest time):
Asia: 01:00 – 08:00
Frankfurt (pre-London): 08:00 – 09:00
London: 09:00 – 18:00
New York: 14:30 – 23:00
For each session, the script:
Detects the session start and session end using the current chart timeframe and the Europe/Budapest time zone.
Tracks the high and low of price during the entire session.
Draws a box (rectangle) from session open to session close, covering the full price range between session high and low.
Optionally prints a small label above the first bar of each session (Asia, Fra, London, NY).
Color scheme:
Asia: soft orange box
Frankfurt: light aqua box
London: darker blue box
New York: light lime box
Use this tool to:
Quickly see which session created the high/low of the day,
Identify liquidity zones and session ranges that price may revisit,
Visually separate Asia, Frankfurt, London and New York volatility on intraday charts.
Optimized for intraday trading (Forex / indices), but it works on any symbol where session behavior matters.
Cumulative Delta Difference HistogramINTRODUCTION:
This "Cumulative Delta Difference Histogram" is a volume-based indicator that calculates the difference (delta) between aggressive buying volume and selling volume for each candle and then builds a cumulative momentum histogram with the following behavior:
Momentum Tracking: The indicator accumulates the delta values when the delta is positive and increasing, producing green bars whose height visually represents growing buying pressure momentum.
Negative Momentum Detection: When the delta becomes negative or starts to decline, the histogram bars turn red and the accumulation decreases, effectively showing increasing selling pressure momentum.
Directional Reset: On each change from positive to negative delta momentum or vice versa, the accumulator resets to zero, providing a clear and sharp visualization of shifts without persistence from previous trends.
Zero Reference Line: A horizontal zero line serves as a visual baseline to distinguish positive from negative momentum easily.
HOW TO USE:
To trade effectively using the "Cumulative Delta Difference Histogram," you compare the price action chart with the indicator to confirm momentum and detect potential reversals or continuations. Here's how to do it in practice:
Confirming Trends:
When the price is rising, look for the histogram bars to be green and increasing, indicating strong and growing buying pressure supporting the uptrend. If price rises but the histogram shows diminishing green bars or shifts to red, it could signal weakening momentum and a potential reversal.
Identifying Divergences:
Compare price highs/lows with histogram peaks. If price makes a new high but the histogram fails to make a corresponding new high (bearish divergence), it warns of a possible trend reversal. Conversely, if price makes a new low but histogram shows higher lows (bullish divergence), it signals potential bullish reversal.
Volume Confirmation:
The histogram reflects real-time volume aggression behind price moves. Confirmation of price breakouts or breakdowns by corresponding strong histogram colors and bar height increases adds reliability to signals.
By aligning price patterns and levels with the cumulative delta histogram's signals, traders gain a deeper understanding of market strength and better timing for trades.
This combined approach improves the accuracy of entries and exits beyond relying on price alone, especially in markets sensitive to order flow and volume dynamics.
Use this indicator with a default volume or with my other indicator "Agression Histogram" for a better reading.
Market Structure Trailing Stop MTF [Inspired by LuxAlgo]# Market Structure Trailing Stop MTF
**OPEN-SOURCE SCRIPT**
*208k+ views on original · Modified for MTF Support*
This indicator is a direct adaptation of the renowned **Market Structure Trailing Stop** by **LuxAlgo** (original script: [Market Structure Trailing Stop ]()). The core logic remains untouched, providing dynamic trailing stops based on market structure breaks (CHoCH/BOS). The **only modification** is the addition of **Multi-Timeframe (MTF) support**, allowing users to apply the trailing stops and structures from **higher timeframes (HTF)** directly on their current chart. This enhances usability for traders analyzing cross-timeframe confluence without switching charts.
**Special thanks to LuxAlgo** for releasing this powerful open-source tool under CC BY-NC-SA 4.0. Your contributions to the TradingView community have inspired countless traders—grateful for the solid foundation!
## 🔶 How the Script Works: A Deep Dive
At its heart, this indicator detects **market structure shifts** (bullish or bearish breaks of swing highs/lows) and uses them to generate **adaptive trailing stops**. These stops trail the price while protecting profits and acting as dynamic support/resistance levels. The MTF enhancement pulls this logic from user-specified higher timeframes, overlaying HTF structures and stops on the lower timeframe chart for seamless multi-timeframe analysis.
### Core Logic (Unchanged from LuxAlgo's Original)
1. **Pivot Detection**:
- Uses `ta.pivothigh()` and `ta.pivotlow()` with a user-defined lookback (`length`) to identify swing highs (PH) and lows (PL).
- Coordinates (price `y` and bar index/time `x`) are stored in persistent variables (`var`) for tracking recent pivots.
2. **Market Structure Detection**:
- **Bullish Structure (BOS/CHoCH)**: Triggers when `close > recent PH` (break above swing high).
- If `resetOn = 'CHoCH'`, resets only on major shifts (Change of Character); otherwise, on all breaks.
- Sets trend state `os = 1` (bullish) and highlights the break with a horizontal line (dashed for CHoCH, dotted for BOS).
- Initializes trailing stop at the local minimum (lowest low since the pivot) using a backward loop: `btm = math.min(low , btm)`.
- **Bearish Structure**: Triggers when `close < recent PL`, mirroring the bullish logic (`os = -1`, local maximum for stop).
- Structure state `ms` tracks the break type (1 for bull, -1 for bear, 0 neutral), resetting based on user settings.
3. **Trailing Stop Calculation**:
- Tracks **trailing max/min**:
- On new bull structure: Reset `max = close`.
- On new bear: Reset `min = close`.
- Otherwise: `max = math.max(close, max)` / `min = math.min(close, min)`.
- **Stop Adjustment** (the "trailing" magic):
- On fresh structure: `ts = btm` (bull) or `top` (bear).
- In ongoing trend: Increment/decrement by a percentage of the max/min change:
- Bull: `ts += (max - max ) * (incr / 100)`
- Bear: `ts += (min - min ) * (incr / 100)`
- This creates a **ratcheting effect**: Stops move favorably with the trend but never against it, converging toward price at a controlled rate.
- **Visuals**:
- Plots `ts` line colored by trend (teal for bull, red for bear).
- Fills area between `close` and `ts` (orange on retracements).
- Draws structure lines from pivot to break point.
4. **Edge Cases**:
- Variables like `ph_cross`/`pl_cross` prevent multiple triggers on the same pivot.
- Neutral state (`ms = 0`) preserves prior `max/min` until a new structure.
### MTF Enhancement (Our Addition)
- **request.security() Integration**:
- Wraps the entire core function `f()` in a security call for each timeframe (`tf1`, `tf2`).
- Returns HTF values (e.g., `ts1`, `os1`, structure times/prices) to the chart's context.
- Uses `lookahead=barmerge.lookahead_off` for accurate historical repainting-free data.
- Structures are drawn using `xloc.bar_time` to align HTF lines precisely on the LTF chart.
- **Multi-Output Handling**:
- Separate plots/fills/lines for each TF (e.g., `plot_ts1`, `plot_ts2`).
- Colors and toggles per TF to distinguish HTF1 (e.g., teal/red) from HTF2 (e.g., blue/maroon).
- **Benefits**: Spot HTF bias on LTF entries, e.g., enter longs only if both TF1 (1H) and TF2 (4H) show bullish `os=1`.
This keeps the script lightweight—**no repainting, max 500 lines**, and fully compatible with LuxAlgo's original behavior when TFs are set to the chart's timeframe.
## 🔶 SETTINGS
### Core Parameters
- **Pivot Lookback** (`length = 14`): Bars left/right for pivot detection. Higher = smoother structures, fewer signals; lower = more noise.
- **Increment Factor %** (`incr = 100`): Speed of stop convergence (0-∞). 100% = full ratchet (mirrors max/min exactly); <100% = slower trail, reduces whipsaws.
- **Reset Stop On** (`'CHoCH'`): `'CHoCH'` = Reset only on major reversals (dashed lines); `'All'` = Reset on every BOS/CHoCH (tighter stops).
### MTF Support
- **Timeframe 1** (`tf1 = ""`): HTF for first set (e.g., "1H"). Empty = current chart.
- **Timeframe 2** (`tf2 = ""`): Second HTF (e.g., "4H"). Enables dual confluence.
### Display Toggles
- **Show Structures** (`true`): Draws horizontal lines for breaks (per TF colors).
- **Show Trailing Stop TF1/TF2** (`true`): Plots the stop line.
- **Show Fill TF1/TF2** (`true`): Area fill between close and stop.
### Candle Coloring (Optional)
- **Color Candles** (`false`): Enables custom `plotcandle` for body/wick/border.
- **Candle Color Based On TF** (`"None"`): `"TF1"`, `"TF2"`, or none. Colors bull trend green, bear red.
- **Candle Colors**: Separate inputs for bull/bear body, wick, border (e.g., solid green body, transparent wick).
### Alerts
- **Enable MS Break Alerts** (`false`): Notifies on structure breaks (bull/bear per TF) **only on bar close** (`barstate.isconfirmed` + `alert.freq_once_per_bar_close`).
- **Enable Stop Hit Alerts** (`false`): Triggers on stop breaches (long/short per TF), using `ta.crossunder/crossover`.
### Colors
- **TF1 Colors**: Bullish (teal), Bearish (red), Retracement (orange).
- **TF2 Colors**: Bullish (blue), Bearish (maroon), Retracement (orange).
- **Area Transparency** (`80`): Fill opacity (0-100).
## 🔶 USAGE
Trailing stops shine in **trend-following strategies**:
- **Entries**: Use structure breaks as signals (e.g., long on bullish BOS from HTF1).
- **Exits**: Trail stops for profit-locking; alert on hits for automation.
- **Confluence**: Overlay HTF1 (e.g., 1H) for bias, HTF2 (e.g., Daily) for major levels—enter LTF only on alignment.
- **Risk Management**: Lower `incr` avoids early stops in chop; reset on `'All'` for aggressive trailing.
! (i.imgur.com)
*HTF1 shows bullish structure (teal line), trailing stop ratchets up—long entry confirmed on LTF pullback.*
! (i.imgur.com)
*TF1 (blue) bearish, TF2 (red) neutral—avoid shorts until alignment.*
! (i.imgur.com)
*Colored based on TF1 trend: Green bodies on bull `os=1`.*
Pro Tip: Test on demo—pair with LuxAlgo's other tools like Smart Money Concepts for full structure ecosystem.
## 🔶 DETAILS: Mathematical Breakdown
On bullish break:
- Local min: `btm = ta.lowest(n - ph_x)` (optimized loop equivalent).
- Stop init: `ts = btm`.
- Update: `Δmax = max - max `, `ts_new = ts + Δmax * (incr/100)`.
Bearish mirrors with `Δmin` (negative, so decrements `ts`).
In MTF: HTF `time` aligns lines via `line.new(htf_time, level, current_time, level, xloc.bar_time)`.
No logs/math libs needed—pure Pine v5 efficiency.
## Disclaimer
This is for educational purposes. Not financial advice. Backtest thoroughly. Original by LuxAlgo—modify at your risk. See TradingView's (www.tradingview.com). Licensed under CC BY-NC-SA 4.0 (attribution to LuxAlgo required).
Buy&Hold Profitcalculator in EuroTitle: Buy & Hold Strategy in Euro
Description:
This Pine Script implements a simple yet flexible Buy & Hold strategy denominated in Euros, suitable for a wide range of assets including cryptocurrencies, forex pairs, and stocks.
Key Features:
Custom Investment Amount: Define your invested capital in Euros.
Flexible Start & End Dates: Specify exact entry and exit dates for the strategy.
Automatic Currency Conversion: Supports assets priced in USD or USDT, converting the invested capital to chart currency using the EUR/USD exchange rate.
Single Entry and Exit: Executes a one-time Buy & Hold position based on the defined timeframe.
Profit and Performance Tracking: Calculates total profit/loss in Euros and percentage returns.
Smart Exit Label: Displays a dynamic label at the exit showing final position value, net profit/loss, and return percentage. The label automatically adjusts its position above or below the price bar for optimal visibility.
Visual Enhancements:
Position value and profit/loss plotted on the chart.
Background color highlights the active investment period.
Buy and Sell markers clearly indicate entry and exit points.
This strategy is ideal for traders and investors looking to simulate long-term positions and evaluate performance in Euro terms, even when trading USD-denominated assets.
Usage Notes:
Best used on daily charts for medium- to long-term analysis.
Adjust start and end dates, as well as invested capital, to simulate different scenarios.
Works with any asset, but currency conversion is optimized for USD or USDT-pegged instruments.
Quantum Fluxtrend [CHE] Quantum Fluxtrend — A dynamic Supertrend variant with integrated breakout event tracking and VWAP-guided risk management for clearer trend decisions.
Summary
The Quantum Fluxtrend builds on traditional Supertrend logic by incorporating a midline derived from smoothed high and low values, creating adaptive bands that respond to market range expansion or contraction. This results in fewer erratic signals during volatile periods and smoother tracking in steady trends, while an overlaid event system highlights breakout confirmations, potential traps, or continuations with visual lines, labels, and percentage deltas from the close. Users benefit from real-time VWAP calculations anchored to events, providing dynamic stop-loss suggestions to help manage exits without manual adjustments. Overall, it layers signal robustness with actionable annotations, reducing noise in fast-moving charts.
Motivation: Why this design?
Standard Supertrend indicators often generate excessive flips in choppy conditions or lag behind in low-volatility drifts, leading to whipsaws that erode confidence in trend direction. This design addresses that by centering bands around a midline that reflects recent price spreads, ensuring adjustments are proportional to observed variability. The added event layer captures regime shifts explicitly, turning abstract crossovers into labeled milestones with trailing VWAP for context, which helps traders distinguish genuine momentum from fleeting noise without over-relying on raw price action.
What’s different vs. standard approaches?
- Baseline reference: Diverges from the classic Supertrend, which uses average true range for fixed offsets from a median price.
- Architecture differences:
- Bands form around a central line averaged from smoothed highs and lows, with offsets scaled by half the range between those smooths.
- Regime direction persists until a clear breach of the prior opposite band, preventing premature reversals.
- Event visualization draws persistent lines from flip points, updating labels based on price sustainment relative to the trigger level.
- VWAP resets at each event, accumulating volume-weighted prices forward for a trailing reference.
- Practical effect: Charts show fewer direction changes overall, with color-coded annotations that evolve from initial breakout to continuation or trap status, making it easier to spot sustained moves early. VWAP lines provide a volume-informed anchor that curves with price, offering visual cues for adverse drifts.
How it works (technical)
The process starts by smoothing high and low prices over a user-defined period to form upper and lower references. A midline sits midway between them, and half the spread acts as a base for band offsets, adjusted by a multiplier to widen or narrow sensitivity. On each bar, the close is checked against the previous bar's opposite band: crossing above expands the lower band downward in uptrends, or below contracts the upper band upward in downtrends, creating a ratcheting effect that locks in direction until breached.
Persistent state tracks the current regime, seeding initial bands from the smoothed values if no prior data exists. Flips trigger new horizontal lines at the breach level, styled by direction, alongside labels that monitor sustainment—price holding above for up-flips or below for down-flips keeps the regime, while reversal flags a trap.
Separately, at each flip, a dashed VWAP line initializes at the breach price and extends forward, accumulating the product of typical prices and volumes divided by total volume. This yields a curving reference that updates bar-by-bar. Warnings activate if price strays adversely from this VWAP, tinting the background for quick alerts.
No higher timeframe data is pulled, so all computations run on the chart's native resolution, avoiding lookahead biases unless repainting is enabled via input.
Parameter Guide
SMA Length — Controls smoothing of highs and lows for midline and range base; longer values dampen noise but increase lag. Default: 20. Trade-offs: Shortens responsiveness in trends (e.g., 10–14) but risks more flips; extend to 30+ for stability in ranging markets.
Multiplier — Scales band offsets from the half-range; higher amplifies to capture bigger swings. Default: 1.0. Trade-offs: Above 1.5 widens for volatile assets, reducing false signals; below 0.8 tightens for precision but may miss subtle shifts.
Show Bands — Toggles visibility of basic and adjusted band lines for reference. Default: false. Tip: Enable briefly to verify alignment with price action.
Show Background Color — Displays red tint on VWAP adverse crosses for visual warnings. Default: false. Trade-offs: Helps in live monitoring but can clutter clean charts.
Line Width — Sets thickness for event and VWAP lines. Default: 2. Tip: Thicker (3–5) for emphasis on key levels.
+Bars after next event — Extends old lines briefly before cleanup on new flips. Default: 20. Trade-offs: Longer preserves history (40+) at resource cost; shorter keeps charts tidy.
Allow Repainting — Permits live-bar updates for smoother real-time view. Default: false. Tip: Disable for backtest accuracy.
Extension 1 Settings (Show, Width, Size, Decimals, Colors, Alpha) — Manages dotted connector from event label to current close, showing percentage change. Defaults: Shown, width 2, normal size, 2 decimals, lime/red for gains/losses, gray line, 90% transparent background. Trade-offs: Fewer decimals for clean display; adjust alpha for readability.
Extension 2 Settings (Show, Method, Stop %, Ticks, Decimals, Size, Color, Inherit, Alpha) — Positions stop label at VWAP end, offset by percent or ticks. Defaults: Shown, percent method, 1.0%, 20 ticks, 4 decimals, normal size, white text, inherit tint, 0% alpha. Trade-offs: Percent for proportional risk; ticks for fixed distance in tick-based assets.
Alert Toggles — Enables notifications for breakouts, continuations, traps, or VWAP warnings. All default: true. Tip: Layer with chart alerts for multi-condition setups.
Reading & Interpretation
The main Supertrend line colors green for up-regimes (price above lower band) and red for down (below upper band), serving as a dynamic support/resistance trail. Flip shapes (up/down triangles) mark regime changes at band breaches.
Event lines extend horizontally from flips: green for bull, red for bear. Labels start blank and update to "Bull/Bear Cont." if price sustains the direction, or "Trap" if it reverses, with colors shifting lime/red/gray accordingly. A dotted vertical links the trailing label to the current close, mid-labeled with the percentage delta (positive green, negative red).
VWAP dashes yellow (bull) or orange (bear) from the event, curving to reflect volume-weighted average. At its end, a left-aligned label shows suggested stop price, annotated with offset details. Background red hints at weakening if price crosses VWAP opposite the regime.
Deltas near zero suggest consolidation; widening extremes signal momentum buildup or exhaustion.
Practical Workflows & Combinations
- Trend following: Enter long on green flip shapes confirmed by higher highs, using the event line as initial stop below. Trail stops to VWAP for bull runs, exiting on trap labels or red background warnings. Filter with volume spikes to avoid low-conviction breaks.
- Exits/Stops: Conservative: Set hard stops at suggested SL labels. Aggressive: Hold through minor traps if delta stays positive, but cut on regime flip. Pair with momentum oscillators for overbought pullbacks.
- Multi-asset/Multi-TF: Defaults suit forex/stocks on 15m–4H; for crypto, bump multiplier to 1.5 for volatility. Scale SMA length proportionally across timeframes (e.g., double for daily). Combine with structure tools like Fibonacci for confluence on event lines.
Behavior, Constraints & Performance
Live bars update lines and labels dynamically if repainting is allowed, but signals confirm on close for stability—flips only trigger post-bar. No higher timeframe calls, so no inherent lookahead, though volume weighting assumes continuous data.
Resources cap at 1000 bars back, 50 lines/labels max; events prune old ones on new flips to stay under budget, with brief extensions for visibility. Arrays or loops absent, keeping it lightweight.
Known limits include lag in extreme gaps (e.g., overnight opens) where bands may not adjust instantly, and VWAP sensitivity to sparse volume in illiquid sessions.
Sensible Defaults & Quick Tuning
Start with SMA 20, multiplier 1.0 for balanced response across majors. For choppy pairs: Lengthen SMA to 30, multiplier 0.8 to tighten bands and cut flips. For trending equities: Shorten to 14, multiplier 1.2 for quicker entries. If traps dominate, enable bands to inspect range compression; for sluggish signals, reduce extension bars to focus on recent events.
What this indicator is—and isn’t
This serves as a visualization and signal layer for trend regimes and breakouts, highlighting sustainment via annotations and risk cues through VWAP—ideal atop price action for confirmation. It is not a standalone system, predictive oracle, or risk calculator; always integrate with broader analysis, position sizing, and stops. Use responsibly as an educational tool.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Trappin Previous Timeframe LevelsTrappin Previous Timeframe Levels (Trappin PTL)
Overview
Trappin PTL is a comprehensive multi-timeframe support and resistance indicator that displays key price levels from multiple timeframes on a single chart. This indicator helps traders identify critical price zones where reversals or breakouts are likely to occur, making it ideal for both intraday and swing trading strategies.
💡 Origin Story
I got tired of manually drawing these lines that I learned from watching Wallstreet Trapper on Trappin Tuesdays YouTube live streams. After repeatedly marking the same previous timeframe levels on every chart, I decided to automate the process. Hope it helps you as much as it helps me!
Key Features
📊 Multiple Timeframe Levels
The indicator tracks and displays high/low levels from:
Previous Hour (PHH/PHL) - Purple lines
Previous Day (PDH/PDL) - Green lines
Previous Week (PWH/PWL) - Yellow lines
Previous Month (PMH/PML) - Blue lines
All-Time High (ATH) - Red line
52-Week High - Orange line
🎨 Fully Customizable
Colors - Change the color of each timeframe independently
Line Styles - Choose between Solid, Dashed, or Dotted lines
Line Widths - Adjust thickness from 1-4 pixels
All settings organized in intuitive groups for easy access
📍 Smart Line Extension
Lines extend back to show when the level was established
Lines project forward to show current relevance
Historical context helps identify key support/resistance zones
🏷️ Clear Price Labels
Each level displays its exact price value (no currency symbols)
Labels positioned horizontally to avoid overlap
Adaptive text color for visibility on any chart theme (dark or light mode)
Why "Trappin"?
The name is a tribute to Wallstreet Trapper and his Trappin Tuesdays YouTube live streams, where I learned the importance of marking previous timeframe levels. The name also reflects the indicator's purpose: identifying price levels where traders often get "trapped" - whether it's bulls getting trapped below resistance or bears getting trapped above support. These levels represent zones where significant order flow and liquidity exist, making them prime areas for reversals or breakouts.
Credits
Created by resoh
Inspired by Wallstreet Trapper and Trappin Tuesdays YouTube live streams
This indicator is provided for educational and informational purposes. Always practice proper risk management and conduct your own analysis before making trading decisions.
Version History
v1.0 - Initial Release
Multi-timeframe high/low levels
All-time high tracking
52-week high tracking
Fully customizable colors, styles, and widths
Adaptive labels with price display
Smart line extension showing historical context
Darvas Lines/Box1. Overview
The Darvas Lines/Box (v1.0) is a dynamic trend following indicator based on the renowned method developed by Nicolas Darvas. It's designed to identify clear price consolidation ranges and detect decisive breakouts, crucial for positional and swing trading strategies.
This indicator automatically draws and adjusts the consolidation ranges, and includes modern enhancements such as Advanced Retest Confirmation and exposed alert conditions, providing reliable signals for monitoring and acting on trend continuations.
2. Core Features
Custom Display Mode (Lines/Box): Allows the user to toggle the visualization between showing just the Breakout Lines (Lines) or displaying the consolidation area with a filled background box (Box).
Source Selection (Wicks/Body): Users can choose whether the box boundaries are defined by the candlestick wicks (price extremes) or the candlestick body (open/close price). This feature is critical for adjusting sensitivity to market noise.
Dynamic Box Drawing: Draws Darvas boxes automatically by tracking price highs and lows based on user-defined parameters (Bars to Define Range, Max Box Height).
Retest Confirmation: Detects if the old resistance/support line functions effectively after a breakout. When a retest is confirmed, the line is extended and its color changes.
Price Labels (Stable Lock): Displays the highest and lowest box prices, fixed to the left outer edge of the box. This ensures stable visibility.
Progress Labels: Visualizes the current line price and the percentage distance to the closing price on the right side of the box, showing progress toward the next breakout.
3. Trading Strategy: How to Use the Indicator
This indicator is primarily used to identify trend initiation and trend continuation signals.
A. Entry Strategy (Breakout)
Long Entry Action: Consider taking a long entry when the price closes above the Upper Line (Green Line), signaled by a BULLISH BREAKOUT alert.
Signal: Use the BULLISH BREAKOUT alert.
Short Entry Action: Consider taking a short entry when the price closes below the Lower Line (Red Line), signaled by a BEARISH BREAKOUT alert.
Signal: Use the BEARISH BREAKOUT alert.
B. Retest Strategy (Add-on/Confirmation)
Action: When the price pulls back to touch the broken line (signaled by RETEST CONFIRMED), this confirms the break's validity.
Alert: The RETEST CONFIRMED alert is triggered at this moment.
C. Risk Management (General)
Stop Loss: The initial stop-loss is typically set just beyond the opposite side of the broken box. As the trend progresses and new boxes form, the lower boundary of the most recently formed box can be used as a trailing stop for managing risk.
4. Setting Parameters
Line Source (Wicks/Body): Crucial for sensitivity. 'Wicks' tracks price extremes; 'Body' tracks stronger close-to-close movements, ignoring noise.
Bars to Define Range: Defines the calculation period (in bars) for the box.
Cooldown Bars After Breakout: Sets the waiting period after a breakout before a new box can start forming.
Retest Lookback Bars (Phase 3): Sets the maximum number of bars to check for a retest during the cooldown phase.
Max Gap for Retest (%): Defines the maximum percentage distance from the line allowed to confirm a retest (Set to Zero (0.0%) for near-touch detection).
Alert Frequency (Breakout): Allows selection between Continuous and Once per Box for breakout signals.
5. Alerts: How to Set Up the Triggers
This indicator exposes several specific conditions to the TradingView alert panel, allowing you to select the exact event you want to monitor.
Step-by-Step Alert Setup:
Open the Alert Panel on the chart.
In the Condition field, select the indicator's name.
In the Alert Condition field, choose the specific event you want to monitor:
1. ANY DARVAS EVENT (Consolidated)
2. BULLISH BREAKOUT (Individual)
3. BEARISH BREAKOUT (Individual)
4. RETEST CONFIRMED (Individual)
In the Trigger field (Frequency), select your preferred native option (e.g., "Once Per Bar Close" or "Once per bar").
RSI FlipIndicator Description: RSI Flip (30/70 Threshold)
This indicator uses a 7-period Relative Strength Index (RSI) to detect potential market reversals based on classic momentum thresholds:
- RSI < 30 → triggers a Long Deal Signal (1) indicating potential bullish reversal.
- RSI > 70 → triggers a Short Deal Signal (2) indicating potential bearish reversal.
🔧 Features:
- Backtest-compatible output: Hidden plots emit 1 for long and 2 for short, enabling seamless integration with strategy scripts.
- Bias tracking: Internal bias state updates on each trigger, allowing for modular lifecycle logic.
- Background tinting ready: The bias variable can be used to drive visual overlays or downstream automation.
🧩 Integration Notes:
- Designed for symbol-specific use — no external feeds or dependencies.
- Ideal for modular signal stacking, lifecycle-safe deal initiation, or audit-grade strategy mapping.
NY 4H Wyckoff State Machine [CHE] NY 4H Wyckoff State Machine — Full (Re-Entry, Breakout, Wick, Re-Accum/Distrib, Dynamic Table) — One-Candle Wyckoff Re-Entry (OCWR)
Summary
OCWR operationalizes a one-candle session workflow: mark the first four-hour New York candle, fix its high and low as the session range when the window closes, and drive entries through a Wyckoff-style state machine on intraday bars. The script adds an ATR-scaled buffer around the range and requires multi-bar acceptance before treating breaks or re-entries as valid. Optional wick-cluster evidence, a proximity retest, and simple volume or RSI gates increase selectivity. Background tints expose regimes, shapes mark events, a dynamic table explains the current state, and hidden plots supply alert payloads. The design reduces random flips and makes state transitions auditable without higher-timeframe calls.
Origin and name
Method name: One-Candle Wyckoff Re-Entry (OCWR)
Transcript origin: The source idea is a “stupid simple one-candle scalping” routine: mark the first New York four-hour candle (commonly between one and five in the morning New York time), drop to five minutes, observe accumulation inside, wait for a manipulation move outside, then trade the re-entry back inside. Stops go beyond the excursion extreme; targets are either a fixed reward multiple or the opposite side of the range. Preference is given to several manipulation candles. This indicator codifies that workflow with explicit states, acceptance counters, buffers, and optional quality filters. Any external performance claims are not part of the code.
Motivation: Why this design?
Session levels are widely respected, yet single-bar breaches around them are noisy. OCWR separates range discovery from trade logic. It locks the range at the end of the window, applies an ATR-scaled buffer to ignore marginal oversteps, and requires acceptance over several bars for breaks and re-entries. Wick evidence and optional retest proximity help confirm that an excursion likely cleared liquidity rather than launched a trend. This yields cleaner transitions from test to commitment.
What’s different vs. standard approaches?
Baseline: Static session lines or one-shot Wyckoff tags without process control.
Architecture: Dual long and short state machines; ATR-buffered edges; multi-bar acceptance for breaks and re-entries; optional wick dominance and cluster checks; optional retest tolerance; direct and opposite breakout paths; cooldown after fires; distribution timeout; dynamic table with highlighted row.
Practical effect: Fewer single-bar head-fakes, clearer hand-offs, and on-chart explanations of the machine’s view.
Wyckoff structure by example — OCWR on five minutes
One-candle setup:
On the four-hour chart, mark the first New York candle’s high and low, then switch to five minutes. Solid lines show the fixed range; dashed lines show ATR-buffered edges.
Long path (verbal mapping):
Phase A, Stopping Action: Price stabilizes inside the range.
Phase B, Consolidation: Sustained balance while the window is closed and after the range is fixed.
Phase C, Test (Spring): Excursion below the buffered low with preference for several outside bars and dominant lower wicks, then a return inside.
Re-entry acceptance: A required run of inside bars validates the test.
Phase D, Breakout to Markup: Long signal fires; stop beyond the excursion extreme; objective is the opposite range or a fixed reward multiple.
Phase E, Trend (Markup) and Re-Accumulation: Advance continues until target, stop, confirmation back against the box, or timeout. A pause inside trend may register as re-accumulation.
Short path mirrors the above: A UTAD-style move forms above the buffered high, then re-entry leads to Markdown and possible re-distribution.
Variant map (verbal):
Accumulation after a downtrend: with Spring and Test, or without Spring; both proceed to Markup and may pause in Re-Accumulation.
Distribution after an uptrend: with UTAD and Test, or without UTAD; both proceed to Markdown and may pause in Re-Distribution.
Note: Phases A through E occur within each variant and are not separate variants.
How it works (technical)
Session window: A configurable four-hour New York window records its high and low. At window end, the bounds are fixed for the session.
ATR buffer: A margin above and below the fixed range discourages triggers from tiny oversteps.
Inside and outside: Users choose close-based or wick-based detection. Overshoot requirements are expressed verbally as a fraction of the range with an optional absolute minimum.
Manipulation tracking: The machine counts bars spent outside and records the side extreme.
Re-entry acceptance: After a return inside, a specified number of inside bars must print before acceptance.
Direct and opposite breakouts: Direct breakouts from accumulation and opposite breakouts after manipulation are supported, subject to acceptance and optional filters.
Targets and exits: Choose the opposite boundary or a fixed reward multiple. Distribution ends on target, stop, confirmation back against the range, or timeout.
Context filters (optional): Volume above a scaled SMA, RSI thresholds, and a trend SMA for simple regime context.
Diagnostics: Background tints for regimes; arrows for re-entries; triangles for breakouts; table with row highlights; hidden plots for alert values.
Central table (Wyckoff console)
The table sits top-right and explains the machine’s stance. Columns: Structure label, plain-English description, active state pair for long and short, and human phase tags. Rows: Start and range building; accumulation branch with Spring and Test as well as direct breakout; Markup and re-accumulation; distribution branch with UTAD and Test as well as direct short breakout; Markdown and re-distribution. Only the active state cell is rewritten each last bar, for example “L_ACCUM slash S_ACCUM”. Row highlighting is context-aware: accumulation, Spring or UTAD, breakout, Markup or Markdown, and re-accumulation or re-distribution checks can highlight independently so users see simultaneous conditions. The table is created once, updated only on the last bar for efficiency, and functions as a read-only console to audit why a signal fired and where the path currently sits.
Parameter Guide
Session window and time zone: First four hours of New York by default; time zone “America/New_York”.
ATR length and buffer factor: Control buffer size; larger reduces sensitivity, smaller reacts faster.
Minimum overshoot (fraction and absolute): Demand meaningful extension beyond the buffer.
Break mode: Close-based is stricter; wick-based is more reactive.
Acceptance counts: Separate counts for break, re-entry, and opposite breakout; higher values reduce noise.
Minimum bars outside: Ensures manipulation is not a single spike.
Wick detection and clusters (optional): Dominance thresholds and cluster size within a short window.
Retest required and tolerance (optional): Gate re-entry by proximity to the buffered edge.
Volume and RSI filters (optional): Simple gates on activity and momentum.
TP mode and reward multiple: Opposite range or fixed multiple.
Cooldown and distribution timeout: Rate-limit signals and prevent endless distribution.
Visualization toggles: Background phases, labels, table, and helper lines.
Reading & Interpretation
Solid lines are the fixed session bounds; dashed lines are buffers. Backgrounds tint accumulation, manipulation, and distribution. Arrows show accepted re-entries; triangles show direct or opposite breakouts. Labels can summarize entry, stop, target, and risk. The table highlights the active row and the current state pair.
Practical Workflows & Combinations
OCWR baseline: Each morning, mark the New York four-hour candle, move to five minutes, prefer multi-bar manipulation outside, then wait for a qualified re-entry inside. Stop beyond the excursion extreme. Target the opposite range for conservative management or a fixed multiple for uniform sizing.
Trend following: Favor direct breakouts with trend alignment and no contradictory wick evidence.
Quality control: When noise rises, increase acceptance, raise the buffer factor, enable retest, and require wick clusters.
Discretionary confluences: Fair-value gaps and trend lines can be added by the user; they are not computed by this script.
Behavior, Constraints & Performance
Closed-bar confirmation is recommended when you require finality; live-bar conditions can change until close. The script does not call higher-timeframe data. It uses arrays, lines, labels, boxes, and a table; maximum bars back is five thousand; table updates are last-bar only. Known limits include compressed buffers in quiet sessions, unreliable wick evidence in thin markets, and session misalignment if the platform time zone is not New York.
Sensible Defaults & Quick Tuning
Start with ATR length fourteen, buffer factor near zero point fifteen, overshoot fraction near zero point ten, acceptance counts of two, minimum outside duration three, retest required on.
Too many flips: increase acceptance, raise buffer, enable retest, and tighten wick thresholds.
Too slow: reduce acceptance, lower buffer, switch to wick-based breaks, disable retest.
Noisy wicks: increase minimum wick ratio and cluster size, or disable wick detection.
What this indicator is—and isn’t
A session-anchored visualization and signal layer that formalizes a Wyckoff-style re-entry and breakout workflow derived from a single four-hour New York candle. It is not predictive and not a complete trading system. Use with structure analysis, risk controls, and position management.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Inside SwingsOverview
The Inside Swings indicator identifies and visualizes "inside swing" patterns in price action. These patterns occur when price creates a series of pivots that form overlapping ranges, indicating potential consolidation or reversal zones.
What are Inside Swings?
Inside swings are specific pivot patterns where:
- HLHL Pattern: High-Low-High-Low sequence where the first high is higher than the second high, and the first low is lower than the second low
- LHLH Pattern: Low-High-Low-High sequence where the first low is lower than the second low, and the first high is higher than the second high
Here an Example
These patterns create overlapping price ranges that often act as:
- Support/Resistance zones
- Consolidation areas
- Potential reversal points
- Breakout levels
Levels From the Created Range
Input Parameters
Core Settings
- Pivot Lookback Length (default: 5): Number of bars on each side to confirm a pivot high/low
- Max Boxes (default: 100): Maximum number of patterns to display on chart
Extension Settings
- Extend Lines: Enable/disable line extensions - this extends the Extremes of the Swings to where a new Swing Started or Extended Right for the Latest Inside Swings
- Show High 1 Line: Display first high/low extension line
- Show High 2 Line: Display second high/low extension line
- Show Low 1 Line: Display first low/high extension line
- Show Low 2 Line: Display second low/high extension line
Visual Customization
Box Colors
- HLHL Box Color: Color for HLHL pattern boxes (default: green)
- HLHL Border Color: Border color for HLHL boxes
- LHLH Box Color: Color for LHLH pattern boxes (default: red)
- LHLH Border Color: Border color for LHLH boxes
Line Colors
- HLHL Line Color: Extension line color for HLHL patterns
- LHLH Line Color: Extension line color for LHLH patterns
- Line Width: Thickness of extension lines (1-5)
Pattern Detection Logic
HLHL Pattern (Bullish Inside Swing)
Condition: High1 > High2 AND Low1 < Low2
Sequence: High → Low → High → Low
Visual: Two overlapping boxes with first range encompassing second
Detection Criteria:
1. Last 4 pivots form High-Low-High-Low sequence
2. Fourth pivot (first high) > Second pivot (second high)
3. Third pivot (first low) < Last pivot (second low)
LHLH Pattern (Bearish Inside Swing)
Condition: Low1 < Low2 AND High1 > High2
Sequence: Low → High → Low → High
Visual: Two overlapping boxes with first range encompassing second
Detection Criteria:
1. Last 4 pivots form Low-High-Low-High sequence
2. Fourth pivot (first low) < Second pivot (second low)
3. Third pivot (first high) > Last pivot (second high)
Visual Elements
Boxes
- Box 1: Spans from first pivot to last pivot (larger range)
- Box 2: Spans from third pivot to last pivot (smaller range)
- Overlap: The intersection of both boxes represents the inside swing zone
Extension Lines
- High 1 Line: Horizontal line at first high/low level
- High 2 Line: Horizontal line at second high/low level
- Low 1 Line: Horizontal line at first low/high level
- Low 2 Line: Horizontal line at second low/high level
Line Extension Behavior
- Historical Patterns: Lines extend until the next pattern starts
- Latest Pattern: Lines extend to the right edge of chart
- Dynamic Updates: All lines are redrawn on each bar for accuracy
Trading Applications
Support/Resistance Levels
Inside swing levels often act as:
- Dynamic support/resistance
- Breakout confirmation levels
- Reversal entry points
Pattern Interpretation
- HLHL Patterns: Potential bullish continuation or reversal
- LHLH Patterns: Potential bearish continuation or reversal
- Overlap Zone: Key area for price interaction
Entry Strategies
1. Breakout Strategy: Enter on break above/below inside swing levels
2. Reversal Strategy: Enter on bounce from inside swing levels
3. Range Trading: Trade between inside swing levels
Technical Implementation
Data Structures
type InsideSwing
int startBar // First pivot bar
int endBar // Last pivot bar
string patternType // "HLHL" or "LHLH"
float high1 // First high/low
float low1 // First low/high
float high2 // Second high/low
float low2 // Second low/high
box box1 // First box
box box2 // Second box
line high1Line // High 1 extension line
line high2Line // High 2 extension line
line low1Line // Low 1 extension line
line low2Line // Low 2 extension line
bool isLatest // Latest pattern flag
Memory Management
- Pattern Storage: Array-based storage with automatic cleanup
- Pivot Tracking: Maintains last 4 pivots for pattern detection
- Resource Cleanup: Automatically removes oldest patterns when limit exceeded
Performance Optimization
- Duplicate Prevention: Checks for existing patterns before creation
- Efficient Redraw: Only redraws lines when necessary
- Memory Limits: Configurable maximum pattern count
Usage Tips
Best Practices
1. Combine with Volume: Use volume confirmation for breakouts
2. Multiple Timeframes: Check higher timeframes for context
3. Risk Management: Set stops beyond inside swing levels
4. Pattern Validation: Wait for confirmation before entering
Common Scenarios
- Consolidation Breakouts: Inside swings often precede significant moves
- Reversal Zones: Failed breakouts at inside swing levels
- Trend Continuation: Inside swings in trending markets
Limitations
- Lagging Indicator: Patterns form after completion
- False Signals: Not all inside swings lead to significant moves
- Market Dependent: Effectiveness varies by market conditions
Customization Options
Visual Adjustments
- Modify colors for different market conditions
- Adjust line widths for visibility
- Enable/disable specific elements
Detection Sensitivity
- Increase pivot length for smoother patterns
- Decrease for more sensitive detection
- Balance between noise and signal
Display Management
- Control maximum pattern count
- Adjust cleanup frequency
- Manage memory usage
Conclusion
The Inside Swings indicator provides a systematic approach to identifying consolidation and potential reversal zones in price action. By visualizing overlapping pivot ranges
The indicator's strength lies in its ability to:
- Identify key price levels automatically
- Provide visual context for market structure
- Offer flexible customization options
- Maintain performance through efficient memory management
