Sequential - Heatmap [R2D2]The Professional Edge in Trend Exhaustion
In a market environment saturated with noise, the most valuable tool for a trader is clarity. Standard trend-following indicators often lag, and traditional reversal markers can be premature. The Sequential: Heatmap is a sophisticated trend-exhaustion indicator designed to identify precise market inflection points where a trend has reached its mathematical limit.
By focusing on the Exhaustion Phase (counts 7, 8, and 9) and integrating Perfection Logic, this tool filters out "weak" setups, highlighting only the high-probability price flips that professional institutional traders watch.
How It Works: The Logic of Exhaustion
The Sequential operates on the principle of price symmetry. A "Setup" occurs when a series of at least nine consecutive bars close higher (for a Sell Setup) or lower (for a Buy Setup) than the close of the bar four periods prior.
The "Perfected" Difference
A standard 9-count is often not enough for a high-conviction entry. This publication-ready script includes Perfection Logic:
Perfected Buy (9★) : The low of bar 8 or 9 must be lower than the lows of both bars 6 and 7.
Perfected Sell (9★) : The high of bar 8 or 9 must be higher than the highs of both bars 6 and 7.
This ensures that the final move in the sequence is a true "climax" before the reversal begins.
Step-by-Step Usage Guide
Step 1: Monitor the Heatmap
As a trend develops, the bars will remain standard. Once the sequence hits count 7, the Heatmap Gradient activates.
Faint Color: Momentum is beginning to stretch.
Deep Saturated Color: The trend is entering the danger zone for a reversal.
Step 2: Identify the 9★ Completion
Wait for the number 9 to appear. If a star (★) is attached, the setup is "Perfected". This is your primary signal that the current move is mathematically overextended.
Step 3: Define Your Risk with Risk Lines
Upon completion of a 9-count, the script draws a solid thin horizontal line:
Green Line (Resistance) : The ceiling of the move. Use this as a profit target for longs or a hard stop for shorts.
Red Line (Support) : The floor of the move. Use this as a profit target for shorts or a hard stop for longs.
Trading Like a Pro: Strategies for Success
To use this tool effectively at a professional level, follow these three core tenets:
Don’t Front-Run the 9 : Amateur traders often try to "guess" the reversal at count 5 or 6. Professionals wait for the Perfected 9 to close. The heatmap is designed to keep you patient.
The "Risk Line" Breaker : If price closes beyond a Risk Line (e.g., closes above the green resistance line), the exhaustion has failed, and a "Setup Trend Extension" is occurring. In this case, exit your reversal trade immediately; the trend is stronger than the exhaustion.
Confluence with Higher Timeframes : A Perfected 9 on a 15-minute chart is strong; a Perfected 9 on a 15-minute chart that aligns with a 4-hour Risk Line is institutional grade.
指標和策略
Bollinger Bands - ALMA EditionBollinger Bands with Crossing Markers - A Small Simple Indicator as a Small Lightweight Supplement.
Green and red markers appear when the price breaks through the top and bottom of the bands, indicating weakening trend momentum and a possible correction or the beginning of a downtrend/uptrend. The BBand is excellent as the FIRST signal of weakening trends – it usually appears right after reaching extremes, i.e., after reaching the bottom or top of the local structure.
Length Adaptive MA SuperTrendLength Adaptive MA SuperTrend
Length Adaptive MA SuperTrend is a third-generation evolution of the SuperTrend concept, designed to improve signal accuracy while maintaining high responsiveness across different market conditions. The indicator dynamically adjusts its moving-average length to better match current market activity, allowing it to react quickly in fast markets while remaining stable during slower phases.
This adaptive behavior helps traders and investors visualize trend direction more clearly while reducing unnecessary noise, making the tool suitable for both beginners and advanced users seeking a responsive trend overlay.
🔍 How It Works
The indicator uses a moving average as the foundation for a SuperTrend-style structure, but instead of keeping the moving-average length fixed, it continuously adapts to changing market environments.
The script compares average activity levels across three horizons:
• Long-term period
• Medium-term period (half length)
• Short-term period (square-root length)
Activity is measured using one of three selectable drivers:
• ATR (volatility)
• Volume
• Standard deviation
Whichever period shows the strongest average activity becomes the active length used for calculating the moving-average base. This allows the indicator to automatically shift between faster and slower behavior depending on market conditions.
After selecting the active length, the result is slightly smoothed using the chosen moving-average type to produce a cleaner and more stable trend structure.
ATR-based bands are then applied around the adaptive base, and trend direction changes when price crosses these bands.
⚙️ Key Features
• Adaptive moving-average length selection
• Automatic adjustment between short, medium, and long market conditions
• Multiple smoothing types (SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, EWMA)
• ATR-based SuperTrend structure
• Trend transition markers
• Optional candle coloring based on active trend
🧩 Inputs Overview
• Moving-average smoothing type
• Base length and price source
• ATR length and multiplier
• Adaptive driver selection (ATR, Volume, or Standard Deviation)
📌 Usage Notes
• Helps visualize prevailing market trends across changing environments.
• Automatically adapts speed for trending and consolidating markets.
• Signals may change intrabar on lower timeframes.
• Best used with confirmation tools and proper risk management.
• Intended as an analytical tool, not financial advice.
True Range Smoothed SuperTrendTrue Range Smoothed SuperTrend (TRS SuperTrend | MisinkoMaster)
The True Range Smoothed SuperTrend is an innovative trend analysis indicator designed to identify clear market trends while minimizing noise. By combining a smoothed price source weighted by true range values with an ATR-based volatility multiplier, this tool delivers reliable trend signals adaptable to a wide variety of asset classes and timeframes.
It’s particularly useful for traders seeking a versatile trend-following system that balances sensitivity and stability.
🔍 Concept & Idea
The indicator enhances the classic SuperTrend concept by using a true range–weighted smoothing of price data instead of raw price or simple moving averages. This weighting helps focus on periods with higher volatility, improving the relevance of trend detection.
Along with smoothing, the indicator applies an ATR-based volatility multiplier to dynamically adjust the upper and lower trend bands, adapting to current market volatility conditions.
⚙️ How It Works
True Range Weighted Smoothing:
The source price (default: low) is multiplied by the true range values over the lookback period.
These weighted values are summed and normalized by the total true range sum.
The result is further smoothed using an Exponential Moving Average (EMA) with a length proportional to the square root of the input length, reducing noise while preserving trend responsiveness.
ATR-based Bands:
The Average True Range (ATR) is calculated with the same length as the smoothing period.
The ATR is multiplied by a user-defined multiplier to establish dynamic upper and lower bands around the smoothed price.
Trend Determination:
When the source price crosses above the upper band, a bullish trend is signaled.
Conversely, crossing below the lower band signals a bearish trend.
These crossings update the trend state, which controls plotted bands and trend labels.
🧩 Inputs Overview
Length – Controls the lookback period for true range weighting, ATR calculation, and smoothing. Affects sensitivity and smoothness (default 37).
Source – Price source used for calculation, defaulting to low.
Multiplier – Scales the ATR bands to adjust volatility sensitivity (default 1.45).
📌 Usage Notes
The TRS SuperTrend works well across various asset classes and timeframes.
The true range weighting improves trend detection in volatile markets by emphasizing price moves during active periods.
Adjust the length and multiplier inputs to balance between noise reduction and responsiveness for your specific market and strategy.
Trend changes are visually marked with “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” labels directly on the chart.
Background fills between bands and price improve visual clarity.
Combine with other confirmation tools and risk management practices for best results.
Not a standalone trading system; always validate and backtest prior to live trading.
⚠️ Disclaimer
This script is provided for educational and informational purposes only and does not constitute financial advice. Trading involves risk and users should perform their own analysis before making trading decisions.
Enjoy smoother and clearer trend analysis with the True Range Smoothed SuperTrend!
SPX highlight Risk IndicatorIndicator shows orange bars in instances where:
VIX > 21dma
Spreads > 21dma
% S&P stocks above 50dma < 21dma
Indicator shows red bars in instances where:
VIX > 50dma
Spreads > 50dma
% S&P stocks above 50dma < 50dma
Trend FollowingTrend Following is a visual trend-tracking indicator built on multiple exponential moving averages (EMAs) and market-context confirmation.
The indicator combines:
Slow EMA (50) to define the primary trend
Fast EMA (20) for intermediate trend alignment
Fastest EMA (9) for timing and sensitivity
200 SMA as a long-term structural reference
The moving averages change color dynamically:
Green when the MA is rising and price is above it (healthy trend)
Red when the MA is falling and price is below it (downtrend)
Yellow during transition phases, consolidation, or loss of momentum
The chart background is also color-coded to highlight the market regime:
Green → bullish bias (trend continuation)
Red → bearish bias
Black → conflict, correction, or consolidation zones (avoid aggressive entries)
Additionally, the script includes:
Logic for identifying low-wick candles, indicating directional strength
Volume confirmation using a 21-period volume moving average
📌 Indicator purpose:
To help traders stay aligned with the dominant trend, avoid low-probability environments, and improve timing on pullbacks and continuation moves.
📈 Best suited for:
Trend following
Swing trading
Position trading
Market context and trend confirmation before technical setups
⚠️ This indicator does not generate automated signals. It is designed as a context and confirmation tool and should be used alongside proper risk management and a well-defined trading strategy.
Global Sessions & Kill Zones [jpkxyz]Global Sessions & ICT Kill Zones Indicator
Overview
The Global Sessions & ICT Kill Zones indicator is a comprehensive trading tool designed to help traders identify and visualize the most critical time periods in the 24-hour forex and futures markets. This indicator combines traditional trading session analysis with Inner Circle Trader (ICT) Kill Zone methodology, providing traders with a complete picture of when institutional activity and liquidity are at their peak.
Trading Theory & Foundation
Session-Based Trading
The forex market operates 24 hours a day across four major trading sessions: Sydney, Tokyo, London, and New York. Each session has distinct characteristics in terms of volatility, liquidity, and price behavior. Understanding these sessions is crucial because:
Volatility Patterns: Each session exhibits unique volatility profiles based on which markets are open and which institutional players are active
Liquidity Concentration: Major price movements tend to occur when multiple sessions overlap, as more market participants are active simultaneously
Market Structure: Session highs and lows often act as key support and resistance levels that price respects throughout the trading day
Time-Based Strategies: Many professional traders structure their strategies around specific sessions that align with their preferred instruments and trading style
ICT Kill Zones
The Inner Circle Trader (ICT) methodology emphasizes specific time windows called "Kill Zones" - periods when institutional algorithms and smart money are most active. These time windows represent optimal trading opportunities because:
Institutional Activity: Banks, hedge funds, and large institutions execute their orders during these predictable time windows
Algorithmic Trading: Many institutional algorithms are programmed to operate during these specific periods
Liquidity Sweeps: Kill Zones often feature stop hunts and liquidity grabs before directional moves
Higher Probability Setups: Price is more likely to respect technical levels and follow through on setups during these periods
The four ICT Kill Zones are:
Asian Kill Zone (00:00-03:00 UTC): Early Asian session institutional activity
London Kill Zone (07:00-10:00 UTC): London open and European institutional entry
New York Kill Zone (12:00-14:00 UTC): New York open and North American institutional entry
London Close Kill Zone (15:00-17:00 UTC): European session close and position squaring
What This Indicator Visualizes
Trading Session Boxes
The indicator draws high-to-low range boxes for each major trading session:
Sydney Session (21:00-06:00 UTC): Captures the Australian and early Asian trading activity
Tokyo Session (00:00-09:00 UTC): Represents the main Asian trading period
London Session (08:00-17:00 UTC): Covers the European trading hours
New York Session (13:00-22:00 UTC): Encompasses North American trading activity
Each session box displays:
The session's high and low price levels
Customizable colored borders and fills
Labels showing the exact high and low values
Real-time updates as price moves within the active session
Session Overlaps
The indicator automatically identifies and highlights all session overlaps with distinct colored boxes:
Sydney/Tokyo Overlap: Asian liquidity concentration
Tokyo/London Overlap: Asian-European transition period
London/New York Overlap: The most volatile period with maximum liquidity
Sydney/New York Overlap: Late US session into early Asian session
These overlaps are crucial because they represent periods of increased liquidity when multiple major markets are operating simultaneously, often leading to significant price movements and breakouts.
ICT Kill Zones
Kill Zones are displayed as vertical background highlights that span the entire chart height during their active periods:
Visual clarity: Semi-transparent colored backgrounds that don't obstruct price action
Label identification: Each Kill Zone is labeled at its start for easy recognition
Overlay capability: Kill Zones overlay on top of session boxes, allowing you to see both simultaneously
Independent control: Each Kill Zone can be toggled on/off individually
How Traders Can Use This Indicator
Entry Timing
Wait for Kill Zones: Use Kill Zones as your primary trading windows to increase the probability of institutional support for your trades
Session Boundaries: Look for breakouts or reversals at session open/close times when new participants enter the market
Overlap Periods: Focus on high-conviction setups during session overlaps when liquidity is highest
Support & Resistance
Session Highs/Lows: Previous session highs and lows often act as key support/resistance levels
Sweep Setups: Watch for price to sweep session highs/lows during Kill Zones, then reverse (liquidity grab)
Range Trading: Trade within session ranges during low-volatility periods, breakout during overlaps
Risk Management
Volatility Awareness: Adjust position sizing based on which session is active (London/NY overlap = highest volatility)
Stop Placement: Position stops outside of key session levels to avoid being caught in normal intraday ranges
Time-Based Exits: Consider exiting or tightening stops as sessions close and liquidity decreases
Strategy Development
Session-Specific Strategies: Develop different approaches for different sessions based on your instrument's behavior
Kill Zone Confirmation: Require setups to occur within Kill Zones for higher probability trades
Backtesting Framework: Use historical session and Kill Zone data to backtest time-based strategies
Full Customizability
Session Customization
Every aspect of each trading session can be customized:
Toggle Visibility: Show/hide any session independently
Time Adjustment: Modify start and end hours to match your broker's server time or personal preference
Color Schemes: Customize box colors and border colors for each session
Transparency: Adjust fill transparency to see price action clearly while maintaining visual reference
Kill Zone Customization
Complete control over ICT Kill Zone display:
Individual Toggles: Enable or disable each Kill Zone independently based on your trading style
Color Selection: Choose distinct colors for each Kill Zone (default: Green, Blue, Yellow, Red)
Transparency Control: All Kill Zones use 70% transparency by default, fully customizable
Label Display: Toggle Kill Zone labels on/off via the main label settings
Visual Preferences
Border Control: Toggle session box borders on/off for cleaner charts
Label Size: Choose from tiny, small, normal, large, huge, or auto-sizing for all labels
Label Colors: Customize label background and text colors to match your chart theme
Box Transparency: Set individual transparency levels for each session and overlap
Overlap Customization
All four session overlaps have independent color controls:
Sydney/Tokyo Overlap
Tokyo/London Overlap
London/New York Overlap
Sydney/New York Overlap
Technical Features
Midnight Handling
The indicator uses advanced hour-based detection that seamlessly handles sessions crossing midnight (like Sydney's 21:00-06:00 UTC timeframe) without breaking the visualization into separate boxes.
Real-Time Updates
Active Sessions: Boxes extend and update in real-time as price moves during active sessions
High/Low Tracking: Session highs and lows are continuously updated until the session closes
Kill Zone Detection: Background colors appear/disappear precisely at Kill Zone boundaries
Clean Chart Integration
Minimal Clutter: Only shows active and recently completed sessions
Overlay Friendly: Works seamlessly with other indicators and doesn't obstruct price action
Performance Optimized: Efficient code that doesn't slow down chart rendering
Ideal For
Forex Traders: Track the four major forex sessions and plan trades around overlaps
Futures Traders: Identify when specific futures markets have peak activity
ICT Students: Implement Inner Circle Trader concepts with visual Kill Zone references
Session Traders: Build strategies around specific session characteristics
Scalpers & Day Traders: Focus on high-liquidity periods for tighter spreads and better fills
Swing Traders: Use session levels as key support/resistance for multi-day trades
Best Practices
Start Simple: Enable only the sessions and Kill Zones relevant to your instruments
Color Code Strategically: Use colors that stand out on your chart theme but don't overwhelm
Combine with Price Action: Use session levels and Kill Zones as context, not as standalone signals
Match Your Timezone: Adjust session times if your broker uses non-UTC server time
Focus on Overlaps: Pay special attention to London/New York overlap for highest-probability setups
Journal Performance: Track which sessions and Kill Zones work best for your strategy
Conclusion
The Global Sessions & ICT Kill Zones indicator provides traders with institutional-grade time-based analysis in a highly customizable, visually clear format. By combining traditional session analysis with modern ICT Kill Zone theory, traders gain a comprehensive understanding of when markets are most likely to move and where key levels are established. Whether you're a scalper looking for the highest liquidity periods or a swing trader using session levels for support/resistance, this indicator adapts to your needs while keeping your charts clean and professional.
Trade smarter by trading when the market is most active and predictable.
SMART TRADER Institutional Trend Engine (ITE)SMART TRADER – Institutional Trend Engine (ITE)
Created by Jonathan Mwendwa Ndunge, this indicator is designed for professional traders and institutions seeking a multi-timeframe trend confirmation system. It combines Donchian Channel-based trend analysis across higher, mid, and lower timeframes to provide a directional authority score, highlighting bullish and bearish execution zones. Built with price action and smart money concepts in mind, it helps traders identify high-probability trend-aligned opportunities while filtering out noise.
Volatility Smoothed Moving Average BandVolatility Smoothed Moving Average Bands
The Volatility Smoothed Moving Average Bands are volatility-based bands that combine multiple measurements to provide a robust and accurate view of market trend and direction.
🚀 Benefits
• Reduced noise through multi-source averaging
• Fast response to market changes
• Strong performance on volatile assets, especially altcoins (notably CROUSD)
💡 Core Idea
The goal is to generate accurate and robust signals by averaging multiple components without requiring additional historical data. The method extracts more information from the same data, improving stability and responsiveness simultaneously.
⚙️ How It Works
A fast and a slow moving average are calculated.
Multiple intermediate values are derived and averaged to build a highly stable center line.
Differences between all components are averaged to estimate volatility.
This volatility is added and subtracted from the center line to form dynamic upper and lower bands.
The result is adaptive bands that track market structure with high accuracy and reduced lag.
📌 Usage Notes
• Best suited for trend detection and dynamic support/resistance.
• Bands expanding → volatility increasing.
• Bands contracting → market compression or consolidation.
• Crosses above/below bands often signal strong directional shifts.
Enjoy and trade smart.
ICT Bias ProICT Bias Pro: Dashboard + First Hour Range & Session FVGs
This indicator is a comprehensive "Bias Builder" designed for traders who follow Inner Circle Trader (ICT) concepts. It combines a multi-timeframe trend dashboard with a specific intraday strategy derived from ICT's recent teaching: "How Do I Engage Markets When I Don't Have An Initial Bias?"
The tool is designed to help traders find confluence between the Macro trend (Daily/4H) and the Micro execution (15M/5M) during the New York AM Session.
Features & Methodology
1. Multi-Timeframe Bias Dashboard Located in the corner of your chart, this dashboard provides a quick "Traffic Light" view of the market structure across 4 key timeframes:
Daily & 4-Hour: Establishes the macro direction.
15-Min & 5-Min: Monitors intraday order flow.
Logic: Bias is determined by comparing price relative to the 20 EMA and checking for Market Structure alignment. Green = Bullish, Red = Bearish.
2. The "First Hour" Trading Range (No-Bias Strategy) Following ICT’s specific logic for days when bias is unclear, this tool automatically highlights the 9:30 AM – 10:30 AM (New York Time) trading range.
Range High & Low: Defining the volatility of the opening hour.
Equilibrium (50%): The "Line in the Sand." Price holding above the 50% signals bullish strength (Premium); price below signals bearish weakness (Discount).
Quadrants (25% & 75%): Deep discount/premium zones for precision entries.
3. Session-Specific Fair Value Gaps (FVG) The indicator automatically detects and draws Fair Value Gaps that form only within that critical first hour of trading.
Auto-Extension: Boxes extend to the right until price "mitigates" (fills) them.
Consequent Encroachment (C.E.): Automatically plots the 50% dashed line inside every FVG, a key institutional support/resistance level.
Smart Mitigation: Once a gap is filled, the box changes color (user-selectable) to indicate it is no longer an active magnet.
How to Use This Indicator
This tool is designed to identify Confluence:
Check the Dashboard: Look for alignment on the Daily and 4H timeframes (e.g., Both Green).
Wait for 10:30 AM EST: Allow the script to draw the First Hour Range.
Trade the Confluence:
Bullish Setup: If the Dashboard is Green, look for price to hold above the 50% Equilibrium of the First Hour Range. Look for entries inside Bullish FVGs that form near the 50% or 75% levels.
Bearish Setup: If the Dashboard is Red, look for price to reject the 50% Equilibrium and stay in the lower half. Target Bearish FVGs near the 50% or 25% levels.
Settings & Customization
Dashboard Toggle: Show or hide the table to keep charts clean.
Colors: Fully customizable colors for Range High/Low, FVGs (Bullish/Bearish), and Mitigated gaps.
Text Positioning: Adjust FVG labels (Left/Center/Right) to prevent visual clutter on candles.
Credits & Attribution
Concept: Inner Circle Trader (Michael Huddleston).
Core Strategy: Based on the video "How Do I Engage Markets When I Don't Have An Initial Bias?"
Disclaimer: This tool is for educational purposes only. Past performance is not indicative of future results.
ATR/Structure Trail Stop Loss This indicator is a high-performance trend-following tool designed to help traders stay in winning positions for maximum "R" gains. It solves the common problem of getting stopped out too early by combining Volatility (ATR) with Market Structure (Price Action Swings).
How it Works
The script calculates two different stop-loss levels and automatically chooses the most "conservative" one to protect your capital:
ATR Stop: Measures the current market volatility. If the market gets wild, the stop widens. If the market gets calm, the stop tightens.
Structure Stop: Looks at the lowest lows (for Longs) or highest highs (for Shorts) of the last few candles. This ensures you don't stay in a trade if the actual price trend breaks.
Key Features
Hybrid Logic: The stop strictly follows Closing Prices to prevent "wick-outs" from temporary spikes.
Trend Dashboard: A real-time table tracks ADX (Trend Power).
"RUN IT": High momentum; keep trailing for 12R–30R targets.
"TIGHTEN": Momentum is dying; consider locking in profits.
Visual Diamonds: Uses a Step-Line style with diamonds to show exactly when your stop-loss "locks in" a new level.
How to Use It (Step-by-Step)
Entry: Enter your trade based on your standard breakout strategy.
Initial Risk: Use the Initial Stop (5 points) until the price moves in your favor.
The Trail: Once the trend establishes, follow the Light White Diamonds.
Scaling: Use the ATR Multiplier input to adjust the "breathing room."
Lower Multiplier (e.g., 1.5): Tighter trail, good for scalp targets.
Higher Multiplier (e.g., 2.5+): Wider trail, best for catching 30R monster moves.
Exit: Close the position immediately when a candle closes on the opposite side of the diamonds.
CANDLE STRUCTURE FILTER PRO by HeruprastCandle Structure Filter
CANDLE STRUCTURE FILTER PRO is a price-action-based indicator that filters trading signals using candle body strength, wick ratio, and EMA trend alignment. It only generates non-repainting BUY/SELL signals on strong candles with valid structure, aligned with the selected trend EMA, and confirmed by an EMA Gap Filter to avoid sideways or choppy market conditions.
Designed for scalping to intraday trading, especially effective on volatile instruments like XAUUSD, with automatic calibration based on timeframe and instrument characteristics.
Cross-Market Regime Scanner [BOSWaves]Cross-Market Regime Scanner - Multi-Asset ADX Positioning with Correlation Network Visualization
Overview
Cross-Market Regime Scanner is a multi-asset regime monitoring system that maps directional strength and trend intensity across correlated instruments through ADX-based coordinate positioning, where asset locations dynamically reflect their current trending versus ranging state and bullish versus bearish bias.
Instead of relying on isolated single-asset trend analysis or static correlation matrices, regime classification, spatial positioning, and intermarket relationship strength are determined through ADX directional movement calculation, percentile-normalized coordinate mapping, and rolling correlation network construction.
This creates dynamic regime boundaries that reflect actual cross-market momentum patterns rather than arbitrary single-instrument levels - visualizing trending assets in right quadrants when ADX strength exceeds thresholds, positioning ranging assets in left quadrants during consolidation, and incorporating correlation web topology to reveal which instruments move together or diverge during regime transitions.
Assets are therefore evaluated relative to ADX-derived regime coordinates and correlation network position rather than conventional isolated technical indicators.
Conceptual Framework
Cross-Market Regime Scanner is founded on the principle that meaningful market insights emerge from simultaneous multi-asset regime awareness rather than sequential single-instrument analysis.
Traditional trend analysis examines assets individually using separate chart windows, which often obscures the broader cross-market regime structure and correlation patterns that drive coordinated moves. This framework replaces isolated-instrument logic with unified spatial positioning informed by actual ADX directional measurements and correlation relationships.
Three core principles guide the design:
Asset positioning should be determined by ADX-based regime coordinates that reflect trending versus ranging state and directional bias simultaneously.
Spatial mapping must normalize ADX values to place assets within consistent quadrant boundaries regardless of instrument volatility characteristics.
Correlation network visualization reveals which assets exhibit coordinated behavior versus divergent regime patterns during market transitions.
This shifts regime analysis from isolated single-chart monitoring into unified multi-asset spatial awareness with correlation context.
Theoretical Foundation
The indicator combines ADX directional movement calculation, coordinate normalization methodology, quadrant-based regime classification, and rolling correlation network construction.
A Wilder's smoothing implementation calculates ADX, +DI, and -DI for each monitored asset using True Range and directional movement components. The ADX value relative to a configurable threshold determines X-axis positioning (ranging versus trending), while the difference between +DI and -DI determines Y-axis positioning (bearish versus bullish). Coordinate normalization caps values within fixed boundaries for consistent quadrant placement. Pairwise correlation calculations over rolling windows populate a network graph where line thickness and opacity reflect correlation strength.
Five internal systems operate in tandem:
Multi-Asset ADX Engine : Computes smoothed ADX, +DI, and -DI values for up to 8 configurable instruments using Wilder's directional movement methodology.
Coordinate Transformation System : Converts ADX strength and directional movement into normalized X/Y coordinates with threshold-relative scaling and boundary capping.
Quadrant Classification Logic : Maps coordinate positions to four distinct regime states—Trending Bullish, Trending Bearish, Ranging Bullish, Ranging Bearish—with color-coded zones.
Historical Trail Rendering : Maintains rolling position history for each asset, drawing gradient-faded trails that visualize recent regime trajectory and velocity.
Correlation Network Calculator : Computes pairwise return correlations across all enabled assets, rendering weighted connection lines in circular web topology with strength-based styling.
This design allows simultaneous cross-market regime awareness rather than reacting sequentially to individual instrument signals.
How It Works
Cross-Market Regime Scanner evaluates markets through a sequence of multi-asset spatial processes:
Data Request Processing : Security function retrieves high, low, and close values for up to 8 configurable symbols with lookahead offset to ensure confirmed bar data.
ADX Calculation Per Asset : True Range computed from high-low-close relationships, directional movement derived from up-moves versus down-moves, smoothed via Wilder's method over configurable period.
Directional Index Derivation : +DI and -DI calculated as smoothed directional movement divided by smoothed True Range, scaled to percentage values.
Coordinate Transformation : X-axis position equals (ADX - threshold) * 2, capped between -50 and +50; Y-axis position equals (+DI - -DI), capped between -50 and +50.
Quadrant Assignment : Positive X indicates trending (ADX > threshold), negative X indicates ranging; positive Y indicates bullish (+DI > -DI), negative Y indicates bearish.
Trail History Management : Configurable-length position history maintains recent coordinates for each asset, rendering gradient-faded lines connecting sequential positions.
Velocity Vector Calculation : 7-bar coordinate change converted to directional arrow overlays showing regime momentum and trajectory.
Return Correlation Processing : Bar-over-bar returns calculated for each asset, pairwise correlations computed over rolling window.
Network Graph Construction : Assets positioned in circular topology, correlation lines drawn between pairs exceeding threshold with thickness/opacity scaled by correlation strength, positive correlations solid green, negative correlations dashed red.
Risk Regime Scoring : Composite score aggregates bullish risk-on assets (equities, crypto, commodities) minus bullish risk-off assets (gold, dollar, VIX), generating overall market risk sentiment with colored candle overlay.
Together, these elements form a continuously updating spatial regime framework anchored in multi-asset momentum reality and correlation structure.
Interpretation
Cross-Market Regime Scanner should be interpreted as unified spatial regime boundaries with correlation context:
Top-Right Quadrant (TREND ▲) : Assets positioned here exhibit ADX above threshold with +DI exceeding -DI - confirmed bullish trending conditions with directional conviction.
Bottom-Right Quadrant (TREND ▼) : Assets positioned here exhibit ADX above threshold with -DI exceeding +DI - confirmed bearish trending conditions with directional conviction.
Top-Left Quadrant (RANGE ▲) : Assets positioned here exhibit ADX below threshold with +DI exceeding -DI - ranging consolidation with bullish bias but insufficient trend strength.
Bottom-Left Quadrant (RANGE ▼) : Assets positioned here exhibit ADX below threshold with -DI exceeding +DI - ranging consolidation with bearish bias but insufficient trend strength.
Position Trails : Gradient-faded lines connecting recent coordinate history reveal regime trajectory - curved paths indicate regime rotation, straight paths indicate sustained directional conviction.
Velocity Arrows : Directional vectors overlaid on current positions show 7-bar regime momentum - arrow length indicates speed of regime change, angle indicates trajectory direction.
Correlation Web : Circular network graph positioned left of main quadrant map displays pairwise asset relationships - solid green lines indicate positive correlation (moving together), dashed red lines indicate negative correlation (diverging moves), line thickness reflects correlation strength magnitude.
Asset Dots : Multi-layer glow effects with color-coded markers identify each asset on both quadrant map and correlation web-symbol labels positioned adjacent to current location.
Regime Summary Bar : Vertical boxes on right edge display condensed regime state for each enabled asset - box background color reflects quadrant classification, border color matches asset identifier.
Risk Regime Candles : Overlay candles on price chart colored by composite risk score - green indicates risk-on dominance (bullish equities/crypto exceeding bullish safe-havens), red indicates risk-off dominance (bullish gold/dollar/VIX exceeding bullish risk assets), gray indicates neutral balance.
Quadrant positioning, trail trajectory, correlation network topology, and velocity vectors outweigh isolated single-asset readings.
Signal Logic & Visual Cues
Cross-Market Regime Scanner presents spatial positioning insights rather than discrete entry signals:
Regime Clustering : Multiple assets congregating in same quadrant suggests broad market regime consensus - all assets in TREND ▲ indicates coordinated bullish momentum across instruments.
Regime Divergence : Assets splitting across opposing quadrants reveals intermarket disagreement - equities in TREND ▲ while safe-havens in TREND ▼ suggests healthy risk-on environment.
Quadrant Transitions : Assets crossing quadrant boundaries mark regime shifts - movement from left (ranging) to right (trending) indicates breakout from consolidation into directional phase.
Trail Curvature Patterns : Sharp curves in position trails signal rapid regime rotation, straight trails indicate sustained directional conviction, loops indicate regime uncertainty with back-and-forth oscillation.
Velocity Acceleration : Long arrows indicate rapid regime change momentum, short arrows indicate stable regime persistence, arrow direction reveals whether asset moving toward trending or ranging state.
Correlation Breakdown Events : Previously strong correlation lines (thick, opaque) suddenly thinning or disappearing indicates relationship decoupling - often precedes major regime transitions.
Correlation Inversion Signals : Assets shifting from positive correlation (solid green) to negative correlation (dashed red) marks structural market regime change - historically correlated assets beginning to diverge.
Risk Score Extremes : Composite score reaching maximum positive (all risk-on bullish, all risk-off bearish) or maximum negative (all risk-on bearish, all risk-off bullish) marks regime conviction extremes.
The primary value lies in simultaneous multi-asset regime awareness and correlation pattern recognition rather than isolated timing signals.
Strategy Integration
Cross-Market Regime Scanner fits within macro-aware and intermarket analysis approaches:
Regime-Filtered Entries : Use quadrant positioning as directional filter for primary trading instrument - favor long setups when asset in TREND ▲ quadrant, short setups in TREND ▼ quadrant.
Correlation Confluence Trading : Enter positions when target asset and correlated instruments occupy same quadrant - multiple assets in TREND ▲ provides conviction for long exposure.
Divergence-Based Reversal Anticipation : Monitor for regime divergence between correlated assets - if historically aligned instruments split to opposite quadrants, anticipate mean-reversion or regime rotation.
Breakout Confirmation via Cross-Asset Validation : Confirm primary instrument breakouts by verifying correlated assets simultaneously transitioning from ranging to trending quadrants.
Risk-On/Risk-Off Positioning : Use composite risk score and safe-haven positioning to determine overall market environment - scale risk exposure based on risk regime dominance.
Velocity-Based Timing : Enter during periods of high regime velocity (long arrows) when momentum carries assets decisively into new quadrants, avoid entries during low velocity regime uncertainty.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime scanner to establish macro context, use lower-timeframe price action for entry timing within aligned regime structure.
Correlation Web Pattern Recognition : Identify regime transitions early by monitoring correlation network topology changes - previously disconnected assets forming strong correlations suggests regime coalescence.
Technical Implementation Details
Core Engine : Wilder's smoothing-based ADX calculation with separate True Range and directional movement tracking per asset
Coordinate Model : Threshold-relative X-axis scaling (trending versus ranging) with directional movement differential Y-axis (bullish versus bearish)
Normalization System : Boundary capping at ±50 for consistent spatial positioning regardless of instrument volatility
Trail Rendering : Rolling array-based position history with gradient alpha decay and width tapering
Correlation Engine : Return-based pairwise correlation calculation over rolling window with configurable lookback
Network Visualization : Circular topology with trigonometric positioning, weighted line rendering based on correlation magnitude
Risk Scoring : Composite calculation aggregating directional states across classified risk-on and risk-off asset categories
Performance Profile : Optimized for 8 simultaneous security requests with efficient array management and conditional rendering
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-regime monitoring for intraday correlation shifts and short-term regime rotations
15 - 60 min : Intraday regime structure with meaningful ADX development and correlation stability
4H - Daily : Swing and position-level macro regime identification with sustained trend classification
Weekly - Monthly : Long-term regime cycle tracking with structural correlation pattern evolution
Suggested Baseline Configuration:
ADX Period : 14
ADX Smoothing : 14
Trend Threshold : 25.0
Trail Length : 15
Correlation Period : 50
Min |Correlation| to Show Line : 0.3
Web Radius : 30
Show Quadrant Colors : Enabled
Show Regime Summary Bar : Enabled
Show Velocity Arrows : Enabled
Show Correlation Web : Enabled
These suggested parameters should be used as a baseline; their effectiveness depends on the selected assets' volatility profiles, correlation characteristics, and preferred spatial sensitivity, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Assets clustering too tightly : Decrease Trend Threshold (e.g., 20) to spread ranging/trending separation, or increase ADX Period for smoother ADX calculation reducing noise.
Assets spreading too widely : Increase Trend Threshold (e.g., 30-35) to demand stronger ADX confirmation before classifying as trending, tightening quadrant boundaries.
Trail too short to show trajectory : Increase Trail Length (20-25) to visualize longer regime history, revealing sustained directional patterns.
Trail too cluttered : Decrease Trail Length (8-12) for cleaner visualization focusing on recent regime state, reducing visual complexity.
Unstable ADX readings : Increase ADX Period and ADX Smoothing (18-21) for heavier smoothing reducing bar-to-bar regime oscillation.
Sluggish regime detection : Decrease ADX Period (10-12) for faster response to directional changes, accepting increased sensitivity to noise.
Too many correlation lines : Increase Min |Correlation| threshold (0.4-0.6) to display only strongest relationships, decluttering network visualization.
Missing significant correlations : Decrease Min |Correlation| threshold (0.2-0.25) to reveal weaker but potentially meaningful relationships.
Correlation too volatile : Increase Correlation Period (75-100) for more stable correlation measurements, reducing network line flickering.
Correlation too stale : Decrease Correlation Period (30-40) to emphasize recent correlation patterns, capturing regime-dependent relationship changes.
Velocity arrows too sensitive : Modify 7-bar lookback in code to longer period (10-14) for smoother velocity representation, or increase magnitude threshold for arrow display.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Macro-aware trading approaches requiring cross-market regime context for directional bias
Intermarket analysis strategies monitoring correlation breakdowns and regime divergences
Portfolio construction decisions requiring simultaneous multi-asset regime classification
Risk management frameworks using safe-haven positioning and risk-on/risk-off scoring
Trend-following systems benefiting from cross-asset regime confirmation before entry
Mean-reversion strategies identifying regime extremes via clustering patterns and correlation stress
Reduced Effectiveness:
Single-asset focused strategies not incorporating cross-market context in decision logic
High-frequency trading approaches where multi-security request latency impacts execution
Markets with consistently weak correlations where network topology provides limited insight
Extremely low volatility environments where ADX remains persistently below threshold for all assets
Instruments with erratic or unreliable ADX characteristics producing unstable coordinate positioning
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or primary instrument technical indicators for entry timing within aligned regime
Quadrant Respect : Trust signals occurring when primary trading asset occupies appropriate quadrant for intended trade direction
Correlation Context : Prioritize setups where target asset exhibits strong correlation with instruments in same regime quadrant
Divergence Awareness : Monitor for safe-haven assets moving opposite to risk assets - regime divergence validates directional conviction
Velocity Confirmation : Favor entries during periods of strong regime velocity indicating decisive momentum rather than regime oscillation
Risk Score Alignment : Scale position sizing and exposure based on composite risk score - larger positions during clear risk-on/risk-off environments
Trail Pattern Recognition : Use trail curvature to identify regime stability (straight) versus rotation (curved) versus uncertainty (looped)
Multi-Timeframe Structure : Apply higher-timeframe regime scanner for macro filter, lower-timeframe for tactical positioning within established regime
Disclaimer
Cross-Market Regime Scanner is a professional-grade multi-asset regime visualization and correlation analysis tool. It uses ADX-based coordinate positioning and rolling correlation calculation but does not predict future regime transitions or guarantee relationship persistence. Results depend on selected assets' characteristics, parameter configuration, correlation stability, and disciplined interpretation. Security request timing may introduce minor latency in real-time data retrieval. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, fundamental macro awareness, and comprehensive risk management.
Momentum Average [SWT]
Momentum Average (MMA)
What is the Momentum Average? This is not your typical trend follower. MMA Pro is an algorithmic convergence tool designed for traders who seek to filter market noise and trade with the true momentum on their side. Its core engine allows you to fuse the "DNA" of up to three different moving averages into a single, high-precision "Master Line."
🛠️ Key Tool Benefits
Data Convergence: By averaging up to three different MA types (EMA, SMA, WMA, VWMA, etc.), the indicator eliminates the erratic signals of individual averages, offering a smoothed curve that reacts primarily to institutional movements.
Volatility Visualization (Cloud): Thanks to the "Trend Cloud" between the two primary averages, you can immediately visualize price expansion and contraction.
Visual Confirmation (Pivot Dots): Identify the exact candle where the market slope shifts, ensuring you stay on the right side of the trend.
⚠️ Usage Philosophy: A Confirmation Tool, Not a Signal Generator
It is vital to understand that MMA Pro is not a "blind signal" tool. It is not designed to be traded every time a dot appears. Its true power lies in serving as a high-quality filter and confirmation layer:
Bias Validation: Use it to confirm the direction of your primary strategy. If your system gives a "Buy," the MMA Pro should ideally show bullish momentum.
Entry Filtering: Avoid entries during "chop" or sideways markets when the "Master Line" is flat or pivot dots are frequently flipping.
Exit Management: Many traders use it as a visual Trailing Stop; if the slope changes against your position, it may be time to protect profits.
💡 User Tips:
Nasdaq 1m/5m: Try combining an EMA with a VWMA to capture intraday volume averaged with price action.
Aesthetics: Customize the "Pivot Dots" colors to match your chart theme (Light/Dark).
Shadow Mode Simulator ELITE🎮 SHADOW MODE SIMULATOR — FEATURE GUIDE
Think of this as GTA with rules instead of random driving.
🏆 1. A / A+ SETUP GRADING (QUALITY CONTROL)
Every entry is graded automatically:
✅ A+ Setup (best XP)
Must have:
• HTF trend aligned
• Liquidity sweep OR perfect pullback
• High confidence (4–5)
✅ A Setup (acceptable)
Must have:
• HTF trend aligned
• ONE valid strategy condition
⚠️ B Setup (allowed but low reward)
Everything else
❌ Invalid
Bad RR or no strategy → XP penalty
👉 This trains selectivity (most traders fail here)
🗺️ 2. AUTO SESSION HEATMAP
Background turns green during your trading session.
This teaches:
✔ When liquidity is real
✔ When NOT to trade
No more random midnight scalping.
😵 3. TILT DETECTOR
Triggers when:
• 2 losses in a row
• Or cooldown active
Shows:
⚠️ TILT WARNING
This is your psychology guardian.
(Pros stop trading here. Retail blows accounts here.)
🧠 4. STRATEGY-SPECIFIC VALIDATORS
You can toggle:
✅ Liquidity sweep trades
✅ Trend pullback trades
If you enter without one → ❌ punished.
This builds:
➡️ mechanical discipline
➡️ no random clicking
⏳ 5. EMOTIONAL COOLDOWN SYSTEM
After a loss:
• You are “locked” for X candles
• No rushing back in
This rewires revenge trading.
📊 6. LIVE PERFORMANCE ENGINE
Tracks:
• XP
• Level
• Win rate
• Win/loss streak
• Trade count
• Tilt state
• HTF bias
• Setup grade
You level up by:
👉 discipline — not profit
📈 LEVEL MEANING (IMPORTANT)
Level Skill State
1–2 Impulsive
3–4 Learning patience
5–6 Controlled
7–8 Consistent
9+ Pro-ready
You should NOT trade real money seriously before level 7.
🧪 FULL LIVE TUTORIAL — HOW TO USE IT
STEP 1 — SETUP
Open TradingView
Open chart you scalp (NIFTY/BTC/etc)
Add the Shadow Mode indicator
Set:
• Session time
• HTF timeframe
• Max trades
STEP 2 — MARKET OPENS
Your job first 10–15 mins:
❌ Do nothing
👀 Just watch structure
(This alone fixes overtrading)
STEP 3 — WHEN YOU SEE A SETUP
Ask:
✔ HTF aligned?
✔ Liquidity sweep or pullback?
✔ RR good?
If yes:
👉 Click 📥 ENTRY
You’ll see:
• Grade (A / A+)
• Entry marker
STEP 4 — MANAGE LIKE A ROBOT
Do NOT interfere.
Let:
• TP
• SL
• or invalidation happen
STEP 5 — EXIT
Click:
📤 EXIT when trade is done
System:
• Awards XP
• Updates streaks
• Tracks win rate
STEP 6 — IF YOU MESSED UP
Click:
❌ RULE BREAK
(Takes XP + activates cooldown)
This hurts — on purpose.
📆 PERFECT TRAINING DAY LOOKS LIKE:
✅ 1–2 A/A+ trades
✅ maybe 1 loss
✅ stop after cooldown
✅ XP positive
Even if P&L is flat.
That’s winning.
🚫 COMMON MISTAKES (DON’T DO THESE)
❌ Clicking entry emotionally
❌ Ignoring HTF bias
❌ Overtrading
❌ Chasing candles
❌ Skipping cooldown
The simulator is designed to punish these.
🧠 WHY THIS WORKS (SCIENCE SIDE)
This trains:
• Pattern recognition
• impulse control
• delayed gratification
• process over money
Same principles used in pilot & athlete simulators.
🎯 OPTIONAL HARD MODE (WHEN READY)
• Max 1 trade/day
• Only A+ setups
• Higher RR minimum
This accelerates mastery.
Trend Momentum v6Features
- Trend EMAs: plots Fast EMA and Slow EMA to visualize direction and strength.
- RSI Filter (optional): gates signals by RSI thresholds to reduce whipsaws.
- Multi-Timeframe (MTF): computes EMAs/RSI on a selected timeframe via request.security.
- Signals: triangle markers for Long/Short when fast EMA crosses slow EMA with optional RSI gating.
- Bar Coloring: green for up-trend, red for down-trend, neutral otherwise.
- Alerts: built-in alertcondition for Long Signal and Short Signal.
Inputs
- Signal timeframe: timeframe for EMAs/RSI; empty uses chart timeframe.
- Fast/Slow EMA length: trend speed vs smoothness (21/50 default).
- RSI length and thresholds: default RSI(14), thresholds at 50 for symmetry.
- Confirm signals on bar close: requires bar close confirmation to avoid intrabar flips.
- Show signal markers: enable/disable triangles.
- Color bars by trend: enable/disable bar coloring.
Signals
- Long: Fast EMA crosses above Slow EMA, optionally with RSI >= bull threshold.
- Short: Fast EMA crosses below Slow EMA, optionally with RSI <= bear threshold.
- Trend coloring: independent of cross signals; reflects current EMA relation plus optional RSI gating.
Tutorial
- Add to chart:
- Open TradingView → Pine Editor → paste the script → Save → Add to chart.
- Configure:
- Leave Signal timeframe empty for chart timeframe or choose higher TF (e.g., 1h while viewing 5m).
- Start with Fast EMA=21, Slow EMA=50; adjust for your market’s volatility.
- Keep RSI filter on with thresholds at 50 for balanced gating.
- Enable “Confirm signals on bar close” for stable, non-repainting entries.
- Interpret:
- Long triangle appears after a bullish EMA cross that meets RSI criteria (if enabled).
- Bars turn green when trendUp; red when trendDown; neutral when neither condition holds.
- Alerts:
- Add the indicator → Create Alert → Source: this indicator → Condition: Long Signal or Short Signal.
- Configure frequency (Once per bar close recommended when confirm is enabled).
- MTF guidance:
- For intraday, set Signal timeframe to a higher TF (15m–1h) to align entries with dominant trend.
- Using lookahead=barmerge.lookahead_off prevents future-data repainting; signals appear only when confirmed.
Customization
- Faster entries: lower Fast EMA (e.g., 13) or raise RSI bull threshold above 50 for stronger momentum.
- Smoother trend: raise Slow EMA (e.g., 100) to reduce choppiness.
- Stricter shorts: set RSI bear threshold below 50 (e.g., 45 or 40).
- Intrabar signals: disable “Confirm signals on bar close” to see crosses mid-bar (more responsive, more noise).
- Fixed indicator timeframe: if you want chart to render with gaps per fixed TF, set timeframe on indicator itself (e.g., timeframe="60") and optionally enable timeframe_gaps.
Best Practices
- Use with structure: apply on liquid instruments; combine with session/volatility filters if needed.
- Risk management: consider ATR-based stops and position sizing; signals are entries, not guarantees.
- Avoid overfitting: keep lengths and thresholds simple; validate across symbols and regimes.
Limitations
- Cross-based entries can lag at reversals and whipsaw in ranges; RSI gating helps but doesn’t eliminate noise.
- MTF aggregation can delay signals compared to the chart’s timeframe; this is expected behavior.
ISM Manufacturing PMIDescription
The ISM Manufacturing PMI (Purchasing Managers' Index) is a key economic indicator derived from monthly surveys of private sector companies. It provides insight into the health of the US manufacturing sector.
Above 50.0: Indicates Expansion.
Below 50.0: Indicates Contraction.
This script visualizes the ISM Manufacturing PMI using TradingView's available economic data (ECONOMICS:USBCOI), providing traders and analysts with a clear view of macroeconomic trends directly on their charts.
Key Features
Intuitive Visualization:
Dynamic Color Coding: The line turns Green during expansion (>50) and Red during contraction (<50).
Baseline Fill: Optional shading between the data line and the 50.0 baseline emphasizes the current economic state.
Histogram Mode: Toggle a histogram view to easily spot momentum shifts.
Customizable Data Source: Defaults to ECONOMICS:USBCOI but can be configured to use other tickers (e.g., FRED:NAPM) if preferred.
Smoothing: Built-in SMA, EMA, RMA, or WMA smoothing to filter out noise and see the longer-term trend.
Alerts: Set alerts for significant crossovers (Expansion/Contraction start) or extreme levels.
How to Use
Add to Chart: Apply the indicator to any chart. It works best on higher timeframes but pulls monthly data automatically.
Interpret the Trend:
Look for the line crossing the 50.0 level. A cross above suggests the manufacturing sector is growing (Bullish for economy). A cross below suggests slowing down or contraction (Bearish for economy).
Watch for extreme readings (above 60 or below 40) which often mark economic peaks or troughs.
Adjust Settings:
Style: Toggle the Line, Histogram, or Fill visibility in the settings.
Smoothing: If the raw data is too jagged, increase the "Smoothing Length" to 3 or 6 months.
Settings
PMI Ticker: Default is ECONOMICS:USBCOI.
Timeframe: Default is 1M (Monthly).
Show Line / Histogram: Toggle visualization modes.
Smoothing: Type and Length of the moving average applied to the data.
Colors: Customize the colors for Expansion (Grow), Contraction (Fall), and Neutral.
Indicator by: iCD_creator
Version: 1.0
---
Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
TSM: Time-Series Momentum & Volatility Targeting [Moskowitz]TSM: Institutional Time-Series Momentum & Volatility Targeting (Moskowitz)
SUMMARY
TSM is a trend and risk-sizing indicator designed to convert price movement into a risk-adjusted regime signal and a single Recommended Exposure output. It addresses a common trend problem: direction can be correct while sizing is wrong during volatility expansions.
Recommended Exposure is a signed value where positive indicates bullish bias and negative indicates bearish bias. The magnitude reflects confidence after the volatility and quality filters are applied.
The engine combines volatility-scaled time-series momentum across multiple horizons with optional volatility targeting and an optional efficiency filter to reduce noise sensitivity and improve sizing discipline.
WHAT THIS INDICATOR GIVES YOU
A risk-adjusted momentum signal that is scaled by realized volatility rather than raw returns, so high-volatility noise is less likely to look like strong trend.
An optional volatility targeting layer that mechanically scales Recommended Exposure down when realized volatility rises and up when it falls, capped by Max Leverage.
An ensemble approach using fast, medium, and slow horizons with configurable weights, reducing dependence on a single lookback and lowering curve-fitting risk.
An optional R-squared efficiency filter that reduces exposure in choppy, low-quality trends, with a floor to avoid over-suppressing exposure.
Optional workflow features including a dashboard, trend cloud bands, threshold-based signals with cooldown, and alerts.
SCIENTIFIC FOUNDATION (PLAIN ENGLISH)
Time-Series Momentum (Moskowitz, Ooi, Pedersen 2012) describes the empirical tendency for an asset’s own past returns to predict its future returns in expectation, distinct from cross-sectional momentum which compares assets to each other.
Volatility clustering means markets alternate between calm and violent regimes; many traditional trend tools misread volatility shocks as sustainable trend. This indicator normalizes momentum by realized volatility to express trend significance relative to the regime.
Volatility targeting (Harvey et al. 2018) scales exposure inversely to realized volatility to stabilize risk. When volatility rises, recommended exposure is reduced mechanically; when volatility falls, exposure can increase, subject to a max leverage cap.
DATA AND SOURCES
This indicator uses only the chart symbol’s OHLC data. No external feeds, no COT libraries, and no third-party data sources are required.
It supports multi-timeframe calculation. You can compute the signal on the current chart timeframe, or use a fixed timeframe such as Daily to keep volatility math consistent when viewing intraday charts.
HOW THE ENGINE WORKS (HIGH LEVEL)
Step 1 estimates realized volatility from log returns over a chosen lookback. Step 2 computes a volatility-scaled momentum statistic for three horizons (fast, medium, slow) to measure how meaningful the move is relative to volatility. Step 3 clamps extreme values so outliers do not dominate. Step 4 combines the horizons into a weighted ensemble. Step 5 optionally applies an efficiency filter to reduce exposure in choppy trends. Step 6 optionally applies volatility targeting to scale exposure inversely with realized annualized volatility, capped by Max Leverage. The final output is Recommended Exposure as the combined result of direction, risk scaling, and quality filtering.
OUTPUTS AND HOW USERS SHOULD APPLY THEM
Recommended Exposure is the primary output. Positive values indicate bullish regime bias, negative values indicate bearish regime bias, and larger magnitude indicates higher risk-adjusted conviction after filters.
Typical use is as a position-sizing overlay: keep your own entry method and use Recommended Exposure to decide how aggressive or defensive sizing should be in the current regime.
Signals are optional and trigger when Recommended Exposure crosses user-defined thresholds. A cooldown reduces repeated triggers during consolidations, and direction can be restricted to long only, short only, or both.
The dashboard is optional and displays realized volatility versus target, ensemble momentum, the efficiency metric, the volatility scalar, the quality multiplier, and final Recommended Exposure, including the fast/medium/slow breakdown.
Trend cloud bands are optional and provide range context; they are not the signal and are intended as visual regime support.
SETTINGS GUIDE (WHAT MATTERS MOST)
Fixed Timeframe mode is recommended for consistent volatility math across chart timeframes; Current Chart mode is more sensitive to the displayed timeframe.
Momentum horizons control responsiveness versus stability. Shorter lookbacks react faster but whipsaw more; longer lookbacks are smoother but slower. Weights allow emphasizing fast responsiveness or slow regime confirmation.
Volatility targeting turns the tool into a sizing engine by scaling exposure inversely to realized volatility. Target annualized volatility sets the risk budget, and the annualization basis (365 vs 252) aligns conventions for crypto versus traditional markets. Max Leverage caps the scalar in very low-volatility regimes.
The efficiency filter reduces exposure in choppy conditions; the floor controls how harshly exposure is reduced. Threshold and cooldown control how selective discrete signals are.
LIMITATIONS (IMPORTANT FOR USERS)
This is a trend-following framework, so it will lag turning points by design. Sideways markets can still cause whipsaws; cooldown and the efficiency filter may reduce but cannot eliminate this. Volatility targeting can reduce drawdowns during volatility expansions but may reduce participation during sharp V-shaped reversals after volatility increases. The efficiency metric is a practical proxy for trend straightness and can misclassify certain price paths.
REFERENCES
Moskowitz, T. J., Ooi, Y. H., and Pedersen, L. H. (2012). Time series momentum. Journal of Financial Economics, 104(2), 228-250.
Harvey, C. R., Rattray, S., Sinclair, A., and Van Hemert, O. (2018). The impact of volatility targeting. Journal of Portfolio Management, 45(1), 14-33.
Hurst, B., Ooi, Y. H., and Pedersen, L. H. (2017). A century of evidence on trend-following investing. Journal of Portfolio Management, 44(1), 15-29.
DISCLAIMER
Educational and informational purposes only. Not financial advice. Trading involves risk. Past performance is not indicative of future results.
MJ amd tableAsia, Londong and New york table showing each session what goes to happen depending on the movement of AMD
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Martingale Grid BotMartingale Grid Bot (MGB)
The strategy is designed to test grid trading with a possible increase in the size of each subsequent order based on the martingale principle. The strategy itself does not contain any trade decision logic and is fully driven by external signals coming from indicators used on the chart. A new grid of orders is created when an entry signal is received, provided that there is no active grid.
❗ Warning
Trading with leverage and martingale involves increased risk. This strategy is a rather rough tool and is intended for testing purposes only. The author is not responsible for any possible discrepancies between the strategy results and real trading.
Settings
Direction - Trading direction. Possible values: Long and Short.
Entry Signal Source - Source of the entry signal that initiates the creation of a new order grid. If one of the price sources (open, high, low, close, etc.) is selected, a new grid will be created automatically after the previous grid is fully closed.
Start Time - Date and time when the strategy starts operating. Marked on the chart with a vertical dashed line.
No Repainting Mode - A mode intended to reduce discrepancies between historical and real-time strategy behavior (repainting).
Enabled — a new grid is created only after the bar is closed. The first order can be filled no earlier than on the next bar.
Disabled — in real-time, a new grid can be created immediately upon receiving a signal or after the previous grid is closed by take profit or stop loss.
❗ Attention
For correct real-time operation, recalculation on every tick must be enabled in the strategy settings.
GRID
Grid Depth % - The depth of the order grid, specified as a percentage of the closing price at the moment the grid is created.
Orders Count - The number of orders in the grid. The first order is placed at the current closing price at the time of grid creation.
Martingale Multiplier - Position size multiplier. Each subsequent order in the grid will be increased by this factor. The size of the first order is defined in the strategy settings.
Leverage - Leverage multiplier for margin trading. Used to check available funds when creating grid orders. It is recommended to use it together with the margin parameters in the strategy settings.
Take Profit % - Calculated on each strategy update based on the average entry price. If none of the grid orders have been filled yet, the take-profit level for the first order is displayed on the chart.
Stop Loss % - Calculated from the price of the first grid order and does not change during the strategy operation. Orders whose price exceeds the stop-loss level will be automatically canceled.
TABLE
Show Table - Controls the display of the table with all orders of the current grid. If there is no active grid, no order data is displayed. Text and background colors are determined automatically based on the chart background color.
Order Size - Determines how the grid order size is displayed: in contracts or in currency.
Table Size - Font size in the table.
Timezone - Used to correctly display the order fill time relative to the chart time. The order fill time (status: filled) can be seen by hovering over the corresponding status cell in the table.
VISUAL
Long Entry - Color of the dotted lines representing grid orders when trading long. Also defines the color of the vertical line indicating the strategy start time.
Short Entry - Color of the dotted lines representing grid orders when trading short. Also defines the color of the vertical line indicating the strategy start time.
Take Profit - Color of the solid line representing the take-profit level.
Stop Loss - Color of the solid line representing the stop-loss level.
