1M / 3M / 6M / 12M Performance Box─────────────────────────────────────────────────────────────
1M / 3M / 6M / 12M Performance Box
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A compact on-chart dashboard that shows multi-horizon price performance
(1M / 3M / 6M / 12M) as percentage change, using DAILY data for consistency
across all chart timeframes (intraday, daily, weekly).
What it does
• Calculates % performance over 1, 3, 6, and 12 month horizons.
• Displays results in a clean table overlay on the chart.
• Automatically color-codes performance:
- Green = positive
- Red = negative
- Gray = neutral / not available
Month definition (user selectable)
• Calendar days mode:
1M = 30 days, 3M = 90 days, 6M = 180 days
• Trading days mode:
1M = 21 TD, 3M = 63 TD, 6M = 126 TD
• 12M is calculated as ~365 days in both modes.
Customization
• Table position (top/bottom + left/right)
• Decimal precision
• Fully customizable colors (header, labels, positive/negative/neutral cells)
• Adjustable background opacity
• Optional header with symbol + timeframe
Use cases
• Quick trend/context check before entries
• Relative strength snapshot across time horizons
• Cleaner decision-making without adding clutter
Notes
• Uses daily close/time via request.security() for stable results.
• Displays "n/a" when a reference value is not available.
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ניתוח מגמה
Momentum - MOM🎯 Overview
This is an advanced Momentum - MOM indicator that measures absolute price change over time, combined with dynamic moving average filtering. Unlike basic MOM implementations, this version features gradient momentum zones, multiple color themes, and a clear signal dashboard for precise price momentum identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.mom() function which calculates absolute price difference between current price and price N periods ago
📈 Dual Analysis Components:
MOM Line: Absolute price change oscillator (unbounded range based on price)
MA Filter: Customizable moving average acting as momentum baseline
Momentum Zones: Gradient fills for strong positive and negative momentum extremes
⚡ Absolute Change Measurement: Unique ability to quantify the actual price movement in points/currency units
2. 🎛️ Configuration Parameters
📏 MOM Length: Default 14 periods (standard momentum setting)
🔄 MA Filter Settings:
Length: Customizable (default 365 periods)
Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes consistent with your indicator suite:
Classic, Modern, Robust, Accented, Monochrome
📊 Signal Interpretation:
🟢 BULLISH: MOM > MA Filter (price momentum above baseline)
🔴 BEARISH: MOM < MA Filter (price momentum below baseline)
🚀 STRONG BULLISH: (extreme positive momentum)
📉 STRONG BEARISH: (extreme negative momentum)
3. 🎨 Visual Elements
🚨 Gradient Zones:
Strong Bullish zone : Green gradient intensifying toward higher values
Strong Bearish zone : Red gradient intensifying toward lower values
📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish"
📊 Dynamic Coloring: MOM line changes color based on position relative to MA
⚡ Midline Reference: Subtle 50-level reference line for scale orientation
⚡ Trading Applications
📈 Primary Uses:
🎯 Absolute Momentum Measurement:
MOM > MA = Bullish price momentum
MOM < MA = Bearish price momentum
MOM = 0 = No net price change over period
💪 Momentum Strength in Price Terms:
Shows actual points/currency gained or lost
Useful for position sizing and risk management
More intuitive than percentages for some traders
🚨 Extreme Momentum Signals:
Extreme Bullish: (major price appreciation)
Extreme Bearish: (major price depreciation)
📊 Zone Analysis:
🟢 Strong Bullish Zone :
Green gradient fills
Indicates substantial price gains over the period
Often signals strong trend continuation or potential exhaustion
🔴 Strong Bearish Zone :
Red gradient fills
Indicates substantial price losses over the period
Often signals strong downtrend or potential reversal
🟡 Equilibrium: Yellow MA line acts as momentum baseline filter
🎨 Customization Options
👁️ Display Features:
📊 Dual Components: Always shows both MOM line and MA filter
🎨 Gradient Visualization: Automatic fill for extreme momentum conditions
📋 Status Dashboard: Clear bullish/bearish momentum indication
📈 Customizable MA: Choose from 6 different moving average types
📏 Wide Dynamic Range: ±15,000 levels accommodate various asset price ranges
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional momentum colors)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when MOM crosses above MA
🔴 SHORT Alert: Triggers when MOM crosses below MA
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Price-Based Analysis: Measures actual price movement in understandable units
💪 Absolute Value Interpretation: Shows exact points gained/lost over period
👁️ Clear Trend Momentum: MA filter separates noise from meaningful momentum
🔄 Flexible Across Assets: Works equally well with stocks, crypto, forex, etc.
📊 Professional Dashboard: Immediate momentum status recognition
📊 Optimal Settings:
⚡ Short-term Trading: MOM Length 10-14, MA Length 20-50
📊 Medium-term Trading: MOM Length 14-20, MA Length 50-100
📈 Long-term Trading: MOM Length 20-30, MA Length 100-365
🏆 Unique Features:
🎯 Absolute Price Measurement: Shows exact price change, not percentages
📊 Extreme Thresholds: ±15,000 levels for major momentum identification
🎨 Consistent Design: Matches your indicator family aesthetics
📋 Momentum Dashboard: Quick visual confirmation of price momentum
🔧 Direct Price Analysis: No conversion needed - shows actual market movement
🔄 Trading Strategies
1. Price Momentum Strategy:
Go LONG when MOM crosses above MA with positive values
Go SHORT when MOM crosses below MA with negative values
Strong signals when MA crossover aligns with extreme zones
2. Momentum Divergence:
Price makes higher high, MOM makes lower high → Bearish divergence (momentum weakening)
Price makes lower low, MOM makes higher low → Bullish divergence (selling pressure decreasing)
3. Trend Strength Assessment:
Large positive MOM values = Strong uptrend momentum
Large negative MOM values = Strong downtrend momentum
MOM near zero = Consolidation or trend change
📈 Performance Tips
Asset-Specific Thresholds: Adjust ±15,000 levels based on typical price ranges
Zero Line Significance: MOM crossing zero often precedes trend changes
Extreme Readings: Very high/low MOM values may indicate exhaustion moves
Multiple Timeframes: Compare MOM values across timeframes for confirmation
Combine with Volume: Add volume analysis to confirm momentum moves
This enhanced Momentum indicator provides professional-grade price-based momentum analysis with intuitive visualization, allowing traders to measure exact price movements, identify momentum trends in absolute terms, and filter signals through the customizable moving average for precise momentum-based trading decisions! 📊📈
Rate of Change - ROC🎯 Overview
This is an advanced Rate of Change - ROC indicator that measures percentage price movement over time, combined with dynamic moving average filtering. Unlike basic ROC implementations, this version features gradient momentum zones, multiple color themes, and a clear signal dashboard for precise momentum velocity identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.roc() function which calculates percentage change between current price and price N periods ago
📈 Dual Analysis Components:
ROC Line: Percentage change oscillator
MA Filter: Customizable moving average acting as momentum trend line
Momentum Zones: Gradient fills for strong positive and strong negative momentum
⚡ Velocity Measurement: Unique ability to quantify the speed of price movement as a percentage
2. 🎛️ Configuration Parameters
📏 ROC Length: Default 35 periods (optimized for momentum detection)
🔄 MA Filter Settings:
Length: Customizable (default 365 periods)
Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes consistent with your indicator suite:
Classic, Modern, Robust, Accented, Monochrome
📊 Signal Interpretation:
🟢 BULLISH: ROC > MA Filter (momentum accelerating upward)
🔴 BEARISH: ROC < MA Filter (momentum accelerating downward)
🚀 STRONG BULLISH: ROC > 40% (extreme positive momentum)
📉 STRONG BEARISH: ROC < -20% (extreme negative momentum)
3. 🎨 Visual Elements
🚨 Gradient Zones:
Strong Bullish zone : Green gradient intensifying toward higher percentages
Strong Bearish zone : Red gradient intensifying toward lower percentages
📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish"
📊 Dynamic Coloring: ROC line changes color based on position relative to MA
⚡ Zero Line Reference: Natural equilibrium at 0% change
⚡ Trading Applications
📈 Primary Uses:
🎯 Momentum Velocity Measurement:
ROC > MA = Accelerating bullish momentum
ROC < MA = Accelerating bearish momentum
💪 Momentum Strength Quantification:
Higher positive percentages = Stronger uptrend acceleration
Lower negative percentages = Stronger downtrend acceleration
Measures rate of change rather than just direction
🚨 Extreme Momentum Signals:
Strong Bullish: (rapid price appreciation)
Strong Bearish: (rapid price depreciation)
📊 Zone Analysis:
🟢 Strong Bullish Zone :
Green gradient fills
Indicates rapid price acceleration upward
Often precedes consolidation or pullback
🔴 Strong Bearish Zone :
Red gradient fills
Indicates rapid price acceleration downward
Often precedes bounce or reversal
🟡 Equilibrium: Yellow MA line acts as momentum trend filter
🎨 Customization Options
👁️ Display Features:
📊 Dual Components: Always shows both ROC line and MA filter
🎨 Gradient Visualization: Automatic fill for extreme momentum conditions
📋 Status Dashboard: Clear bullish/bearish momentum acceleration indication
📈 Customizable MA: Choose from 6 different moving average types
📏 Adjustable Thresholds: 40% and -20% levels optimized for ROC analysis
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional momentum colors)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when ROC crosses above MA
🔴 SHORT Alert: Triggers when ROC crosses below MA
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Velocity-Based Analysis: Measures speed of price movement, not just direction
💪 Percentage-Based: Provides intuitive understanding of momentum strength
👁️ Trend Acceleration Identification: MA filter shows when momentum is accelerating/decelerating
🔄 Flexible Timeframes: 35-period default optimized for momentum detection
📊 Professional Dashboard: Immediate momentum acceleration status
📊 Optimal Settings:
⚡ Short-term Momentum: ROC Length 10-20, MA Length 20-50
📊 Medium-term Momentum: ROC Length 20-35, MA Length 50-100
📈 Long-term Momentum: ROC Length 35-50, MA Length 100-365
🏆 Unique Features:
🎯 Percentage-Based Measurement: Shows exact rate of price change
📊 Asymmetric Thresholds: 40% bullish / -20% bearish (reflects typical market asymmetry)
🎨 Consistent Design: Matches your indicator family aesthetics
📋 Momentum Dashboard: Quick visual confirmation of acceleration/deceleration
🔧 Speed Analysis: Focuses on velocity rather than just position
🔄 Trading Strategies
1. Momentum Acceleration Strategy:
Go LONG when ROC crosses above MA with ROC > 0%
Go SHORT when ROC crosses below MA with ROC < 0%
Strong signals when crossing occurs in extreme zones
2. Velocity Divergence:
Price makes higher high, ROC makes lower high → Momentum divergence (trend weakening)
Price makes lower low, ROC makes higher low → Momentum divergence (downtrend losing steam)
3. Trend Acceleration Detection:
Rising ROC above MA = Uptrend accelerating
Falling ROC below MA = Downtrend accelerating
Flat ROC near MA = Trend consolidation
📈 Performance Tips
Context Matters: High ROC during strong trends is normal, during ranges may signal exhaustion
Zero Line Cross: ROC crossing 0% often signals trend change
Extreme Readings: ROC > 40% often precedes consolidation, ROC < -20% often precedes bounce
Timeframe Alignment: Use consistent periods across charts for comparable readings
Confirmation: Combine with price structure and volume for highest probability trades
This enhanced ROC indicator provides professional-grade momentum velocity analysis with intuitive visualization, allowing traders to quantify the speed of price movements, identify acceleration/deceleration phases, and filter signals through the customizable moving average for precise momentum-based trading decisions! 📊⚡
Money Flow Index - MFI🎯 Overview
This is an advanced Money Flow Index - MFI indicator that combines volume-weighted momentum analysis with dynamic moving average filtering. Unlike basic MFI implementations, this version features gradient overbought/oversold zones, multiple color themes, and a clear signal dashboard for precise money flow identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.mfi() function which incorporates both price and volume data
📈 Dual Analysis Components:
MFI Line: Volume-weighted momentum oscillator
MA Filter: Customizable moving average acting as dynamic signal line
Threshold Zones: Gradient fills for overbought and oversold conditions
⚡ Volume Integration: Unique ability to combine price action with trading volume for more reliable signals
2. 🎛️ Configuration Parameters
📏 MFI Length: Default 14 periods (standard setting)
🔄 MA Filter Settings:
Length: Customizable (default 365 periods)
Type: 6 options available (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes consistent with your indicator suite:
Classic, Modern, Robust, Accented, Monochrome
📊 Signal Interpretation:
🟢 BULLISH: MFI > MA Filter (money flow above trend)
🔴 BEARISH: MFI < MA Filter (money flow below trend)
⚠️ OVERBOUGHT: MFI > 80 (potential reversal zone)
⚠️ OVERSOLD: MFI < 20 (potential reversal zone)
3. 🎨 Visual Elements
🚨 Gradient Zones:
Overbought zone : Red gradient intensifying toward 100
Oversold zone : Green gradient intensifying toward 0
📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish"
📊 Dynamic Coloring: MFI line changes color based on position relative to MA
⚡ Trading Applications
📈 Primary Uses:
🎯 Money Flow Direction:
MFI > MA = Bullish money flow regime
MFI < MA = Bearish money flow regime
💪 Trend Strength with Volume Confirmation:
MFI considers both price movement AND volume
Higher volume moves have more significance
Validates price trends with volume support
🚨 Extreme Zone Signals:
Overbought: MFI > 80 (potential sell opportunity)
Oversold: MFI < 20 (potential buy opportunity)
📊 Zone Analysis:
🔴 Overbought Zone :
Red gradient fills
Indicates excessive buying pressure
Watch for bearish reversals
🟢 Oversold Zone :
Green gradient fills
Indicates excessive selling pressure
Watch for bullish reversals
🟡 Equilibrium: Yellow MA line acts as volume-weighted trend filter
🎨 Customization Options
👁️ Display Features:
📊 Dual Components: Always shows both MFI line and MA filter
🎨 Gradient Visualization: Automatic fill for overbought/oversold conditions
📋 Status Dashboard: Clear bullish/bearish money flow indication
📈 Customizable MA: Choose from 6 different moving average types
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional volume-weighted colors)
🚀 Modern: Cyan/Purple (contemporary)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when MFI crosses above MA
🔴 SHORT Alert: Triggers when MFI crosses below MA
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Volume-Weighted Accuracy: Combines price and volume for more reliable signals
💪 Overbought/Oversold Filter: Built-in 80/20 thresholds with gradient visualization
👁️ Clear Trend Identification: MA filter separates noise from meaningful money flow
🔄 Flexible Configuration: Multiple MA types for different trading styles
📊 Professional Dashboard: Immediate money flow status recognition
📊 Optimal Settings:
⚡ Short-term Trading: MFI Length 10-14, MA Length 20-50
📊 Medium-term Trading: MFI Length 14-20, MA Length 50-100
📈 Long-term Trading: MFI Length 20-30, MA Length 100-365
🏆 Unique Features:
🎯 Volume Integration: The only oscillator in your suite that includes volume data
📊 Gradient Thresholds: Visual intensity shows proximity to extremes
🎨 Consistent Design: Matches your indicator family aesthetics
📋 Money Flow Dashboard: Quick visual confirmation of volume trends
🔧 Dual Analysis: Combines oscillator with dynamic trend filter
🔄 Trading Strategies
1. Basic Money Flow Strategy:
Go LONG when MFI crosses above MA from oversold
Go SHORT when MFI crosses below MA from overbought
Exit when opposite extreme is reached
2. Divergence Detection:
Price makes higher high, MFI makes lower high → Bearish divergence (selling pressure weakening)
Price makes lower low, MFI makes higher low → Bullish divergence (buying pressure increasing)
3. Volume Confirmation:
Strong trend + rising MFI = High conviction move
Weak trend + declining MFI = Potential reversal
📈 Performance Tips
Volume Matters: MFI is most effective in markets with consistent volume
Extreme Zones: levels often act as support/resistance for the indicator
Divergence Signals: More reliable than simple overbought/oversold readings
Trend Alignment: MFI above MA in uptrend, below MA in downtrend
Confirmation: Combine with price action at key support/resistance levels
This enhanced MFI indicator provides professional-grade volume-weighted analysis with intuitive visualization, allowing traders to identify money flow trends, spot potential reversals at extremes, and filter signals through the customizable moving average for higher accuracy trading decisions! 📊💰
Custom 3-Bar Counter (GMT Reset)Bar counter, adjustable to suit market hours. Text colour and size changeable
CopyPipe Trading Dashboard - Multi-Indicator Signal Panel
🚀 CopyPipe Trading Dashboard
A **free, all-in-one trading dashboard** that displays key indicators and market information in a clean, easy-to-read panel on your chart.
#### ✨ Features:
📊 **Signal Summary Panel**
- Overall market bias (Bullish/Bearish/Neutral)
- Real-time indicator readings
- Current trading session display
- Daily high/low levels
📈 **RSI Analysis**
- Customizable period (default 14)
- Overbought/Oversold detection
- Color-coded status
📉 **MACD Tracking**
- Standard 12/26/9 settings (customizable)
- Bullish/Bearish crossover detection
📏 **Moving Averages**
- Fast & Slow MA with trend detection
- Choose between SMA or EMA
- Visual crossover on chart
🌍 **Trading Sessions**
- London, New York, Asia, Sydney
- Subtle background highlighting
- Know when the big players are active
📐 **Key Levels**
- Previous day's high/low
- Previous close
- Great for support/resistance
#### 🔔 Built-in Alert Templates
This indicator comes with **pre-configured alert conditions** formatted for webhook automation:
- MA Bullish/Bearish Cross
- RSI Overbought/Oversold
- Strong Confluence Signals (multiple indicators aligned)
Alert messages are formatted as **JSON** - perfect for connecting to trading automation platforms.
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#### ⚡ Want to Auto-Execute These Signals?
**CopyPipe** connects your TradingView alerts directly to MetaTrader 4/5.
✅ Set up alerts on this indicator
✅ Signals execute automatically in MT4/MT5
✅ No coding required
✅ Works with any broker
**Learn more:** copypipe.io
---
#### 📖 How to Use
1. Add the indicator to your chart
2. Customize settings in the indicator panel
3. Position the info panel where you prefer
4. Set up alerts using the built-in conditions
5. (Optional) Connect to CopyPipe for auto-execution
#### ⚙️ Settings
- **Dashboard Settings:** Panel position, size, visibility
- **RSI Settings:** Length, overbought/oversold levels
- **MACD Settings:** Fast, slow, signal periods
- **Moving Averages:** Type (SMA/EMA), lengths
- **Sessions:** Toggle which sessions to highlight
- **Key Levels:** Daily high/low, previous close
- **Colors:** Customize bullish/bearish colors
---
Made with ❤️ by the CopyPipe team
copypipe.io
Spectre -Candles Spectre -Candles MEANS SPECTRE CANDLES -
2 candle closing main 2 candle closing main
Bank CRE Stress & Short Risk Overlay + Dashboard
🏦 Bank CRE Short-Selling Dashboard:
- Expands the static database to better match the dashboard's highCRE + shortCandidates.
- Uses CRE ratio thresholds from dashboard (e.g., critical ~>500%, high ~400-500%, etc.).
- Keeps price stress logic (you can tweak it).
- Includes more failed/failed-like flags.
Access the Live Risk Monitoring & Trade Opportunities 🏦 Bank CRE Short-Selling Dashboard
claude.ai
RS Filtered RSIRS Filtered RSI (RSF RSI) | MisinkoMaster
The RS Filtered RSI is an advanced RSI-based indicator that enhances the traditional RSI by applying a custom filtering technique using Fourier transform principles. This reduces noise and improves the clarity of signals, helping traders better identify trend direction and potential reversals.
Key Features
Combines classic RSI calculation with Fourier-based filtering for noise reduction
Dynamically adapts to price momentum using Relative Strength filtering
Provides clear bullish and bearish trend signals with customizable thresholds
Includes overbought and oversold levels for better entry and exit timing
Plots divergence histogram to highlight momentum changes
Candle coloring aligns with trend direction for intuitive reading
Highly configurable via inputs for RSI length, filter length, Fourier length, and thresholds
How It Works
Calculates a standard RSI on the selected price source over the chosen length.
Applies a Discrete Fourier Transform (DFT) on recent price data to extract dominant frequency components and filter noise (code adapted from @BackQuant).
Uses Fourier magnitudes combined with RSI values to build a filter that strengthens the RSI signal and filters weak moves.
Applies upper and lower thresholds on the filtered RSI to define bullish and bearish trends.
Visualizes trend signals, divergence, and overbought/oversold zones with colored plots and candles.
Inputs Overview
Length — RSI calculation period
Source — Price input (default: close)
Filter Length — Length for Relative Strength filter
Fourier Length — Number of bars used for Fourier transform
Upper Threshold — Level above which bullish trend is signaled
Lower Threshold — Level below which bearish trend is signaled
Overbought — RSI level considered overbought
Oversold — RSI level considered oversold
Usage Notes
Best suited for traders who want a smoother, less noisy RSI signal especially in volatile markets.
Can be combined with other indicators or price action for better confirmation.
Adjust Fourier length and filter parameters to balance smoothness and responsiveness.
Use divergence histogram to spot momentum shifts early.
Candle coloring makes trend identification more intuitive.
Not a standalone trading signal — always backtest and manage risk accordingly.
Shout Out
Special thanks to @BackQuant for the Fourier transform code that inspired the filtering technique in this indicator.
Disclaimer
This indicator is for educational use only and does not constitute financial advice. Trading involves risk. Please do your own research and trade responsibly.
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!
Filtered Percentile OscillatorFiltered Percentile Oscillator (FPO | MisinkoMaster)
The Filtered Percentile Oscillator is a modern trend-following tool designed to combine the power of percentile ranking with adaptive trend strength filtering. By integrating a filter based on ADX strength, this oscillator aims to reduce noise and improve signal quality, helping traders identify more reliable bullish and bearish momentum zones.
This indicator works well across different markets, especially where volatility and trend clarity fluctuate. Although it can be noisy at times, the intelligent filtering mechanism provides strong potential for spotting actionable trend signals.
🔍 Concept & Idea
The idea behind the Filtered Percentile Oscillator is to use the percentile rank of price changes as a normalized measure of momentum, then apply an adaptive filter based on the Average Directional Index (ADX) to adjust sensitivity dynamically.
By combining these two concepts:
The Percentile Oscillator captures how extreme the current price is relative to recent price history.
The ADX-based filter adjusts threshold levels and confirms if the market is trending strongly enough to trust these percentile signals.
This dual-filtering mechanism improves the indicator’s ability to avoid false signals caused by noisy or non-trending environments.
⚙️ How It Works
The indicator calculates the Percentile Rank of the user-selected price source over a defined length (len). This percentile oscillator oscillates between -100% and +100%, reflecting relative price positioning.
It calculates the ADX and its percentile rank over a separate filter length (adx_len and ap_len) to estimate trend strength and market activity.
A combined potential filter checks if the sum of the absolute percentile oscillator and ADX percentile exceeds a user-defined threshold (pot_t). This filter controls whether signals are considered valid.
Thresholds for long and short signals dynamically adapt based on whether the ADX percentile exceeds the filter threshold (adx_t):
When strong trend strength is detected (ADX percentile > threshold), tighter upper and lower thresholds (ut and lt) apply to capture sharper trend signals.
When trend strength is weaker, wider thresholds (utm and ltm) are used to filter noise and reduce false signals.
Trend states are determined by comparing the percentile oscillator to these adaptive thresholds and validating the potential filter condition.
Overbought and oversold zones are also plotted for identifying potential reversal or exhaustion areas.
🧩 Inputs Overview
Length – Controls the lookback period for the Percentile Oscillator calculation (default 29).
Source – The price data source used for oscillator calculation (default: close).
Filter Length – Lookback period for ADX calculation used as a filter (default 12).
Filter % Length – Length used to calculate the percentile rank of the ADX filter (default 8).
Trending Upper Threshold – Upper bound for bullish signals when trend strength is strong (default 10).
Trending Lower Threshold – Lower bound for bearish signals when trend strength is strong (default -10).
Ranging Upper Threshold – Upper bound for bullish signals when trend strength is weak (default 15).
Ranging Lower Threshold – Lower bound for bearish signals when trend strength is weak (default -15).
Sum Filter Threshold – Minimum combined percentile value required to validate signals (default 100).
Filter Threshold – Minimum ADX percentile value required to switch to tighter thresholds (default 50).
Overbought – Level indicating overbought conditions for the oscillator (default 80).
Oversold – Level indicating oversold conditions for the oscillator (default -80).
📌 Usage Notes
Adaptive Filtering: The indicator dynamically adjusts sensitivity to market trend strength, reducing false signals during ranging or low-activity periods.
Normalized Momentum: Using percentile ranks allows comparison across different instruments and timeframes on a consistent scale.
Trend Confirmation: The ADX percentile filter ensures signals are stronger and more reliable when the market is trending.
Visual Guidance: Colored plots, threshold lines, and background fills improve signal interpretation and decision-making.
Customization: Thresholds and lengths can be fine-tuned for different markets or trading styles.
Complementary Use: Best combined with volume analysis, price action, or other indicators for comprehensive trade confirmation.
Backtest First: Always validate settings on historical data to match your preferred instrument and timeframe before live trading.
⚠️ Disclaimer
This indicator is provided solely for educational and analytical use. It is not financial advice. Trading involves risk, and users should perform their own due diligence before making trading decisions.
Enjoy improved trend filtering with the Filtered Percentile Oscillator!
Adaptive For LoopAdaptive For Loop (AFL | MisinkoMaster)
The Adaptive For Loop is an innovative trend-following indicator designed to deliver fast and reliable signals while minimizing false positives. By dynamically assessing the relationship between current and historical price data across multiple price components—open, high, low, and close—this tool filters out noise and highlights the strongest trend signals.
Unlike traditional indicators that rely on a single price input, Adaptive For Loop harnesses the combined strength of multiple price points, intelligently selecting the most relevant signal to adapt to changing market conditions. This approach helps traders identify genuine trend momentum with clarity and speed.
🔍 Concept & Idea
The idea behind Adaptive For Loop is to improve trend detection by simultaneously evaluating multiple price sources instead of just one. Each price component (open, high, low, close) undergoes a scoring process comparing the current price to a series of historical prices within a user-defined lookback range.
Since different price points may exhibit varying degrees of noise or trend clarity at different times, the indicator selects the source with the strongest directional signal based on absolute scoring. This adaptive selection reduces noise and enhances signal reliability while maintaining fast responsiveness.
⚙️ How It Works
The indicator performs a looped comparison for each price series (open, high, low, close) over a range specified by the user (from start to end bars ago).
For each bar in the range, it increments or decrements a score depending on whether the current price is higher or lower than the compared historical price.
After scoring all four price sources, the indicator selects the score with the greatest absolute value to represent the dominant market momentum.
This dominant score is then evaluated against user-defined upper and lower thresholds to determine the market trend state:
Above the upper threshold: bullish/uptrend signal
Below the lower threshold: bearish/downtrend signal
Between thresholds: neutral/no clear trend
The indicator plots the score, thresholds, and highlights the trend visually, including colored candlesticks representing the detected trend.
🧩 Inputs Overview
From (start) – Defines the start bar offset for the lookback range in the for loop (default 0).
To (end) – Defines the end bar offset for the lookback range in the for loop (default 45).
Upper Threshold – Score level above which an uptrend signal is triggered (default 39).
Lower Threshold – Score level below which a downtrend signal is triggered (default -12).
📌 Usage Notes
Adaptive Selection: The indicator adapts by selecting the price source with the strongest trend signal, reducing false signals caused by noisy individual price inputs.
Speed and Noise: Designed for fast execution and minimal noise, making it especially useful in volatile markets such as BTCUSD.
Visual Clarity: Colored candlesticks and score plots help traders quickly identify trend direction and strength.
Customization: Users can adjust the lookback range and thresholds to fit different assets and timeframes.
Complementary Tool: Best used alongside other confirmation indicators and sound risk management practices.
Backtesting Recommended: Always backtest and validate settings on historical data to optimize performance for your specific market.
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and users should perform their own due diligence before making any investment decisions.
Enjoy trading with Adaptive For Loop!
Momentum RSIMomentum RSI (MRSI | MisinkoMaster)
Momentum RSI is an enhanced version of the classic Relative Strength Index (RSI) developed by J. Welles Wilder. This indicator integrates momentum components directly into the RSI calculation, resulting in a faster, smoother oscillator that helps traders identify trend strength and value zones with greater precision.
Unlike the traditional RSI, which relies on a fixed smoothing approach, the Momentum RSI dynamically incorporates momentum derived from differences between moving averages of RSI values over different lookback periods. This improves signal responsiveness while reducing noise, providing clearer insights for both trend-following and mean-reversion trading strategies.
🔍 Concept & Idea
Momentum RSI aims to improve the original RSI by adding momentum elements that speed up its reaction to price changes without sacrificing smoothness. This hybrid approach helps:
Capture early signals in trending markets
Reduce false signals during sideways or choppy conditions
Highlight overbought and oversold zones more effectively
Provide additional momentum context for more informed trading decisions
By combining RSI with momentum derived from moving average differences, the indicator balances sensitivity and stability for a versatile application across different asset classes and timeframes.
⚙️ How It Works
The Momentum RSI calculation involves several key steps:
Standard RSI Calculation:
The indicator first calculates the classic RSI using user-defined length and smoothing parameters. Users can customize the RSI source price and the smoothing moving average (MA) type applied (options include RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
Momentum Derivation:
Two versions of the RSI are computed with different smoothing lengths—a base RSI and a longer smoothed RSI. The difference between their moving averages represents a momentum component that measures the short-term trend strength.
Additional Momentum:
The difference between shorter-length and longer-length RSI calculations adds another momentum layer, reflecting momentum shifts over different timescales.
Momentum Integration:
These momentum components are combined and added to the previous RSI value, resulting in a momentum-enhanced RSI value (mrsi) that oscillates between 0 and 100.
Trend Detection:
Customizable upper and lower thresholds define long and short signal zones, allowing users to interpret when the market is trending bullish or bearish.
Overbought/Oversold Zones:
Additional thresholds highlight extreme value zones for potential mean-reversion trades.
🧩 Inputs Overview
RSI Length - Controls the primary RSI calculation length (default 20).
Source - Selects the price source for the RSI calculation (default: close).
Smoothing Length - Length used to smooth RSI values with the chosen MA type (default 12).
MA Type - Moving average method used for smoothing (options: RMA, SMA, EMA, WMA, DEMA, TEMA, HMA, ALMA).
ALMA Offset - Offset parameter for ALMA smoothing (applicable only if ALMA is selected).
ALMA Sigma - Sigma parameter for ALMA smoothing (applicable only if ALMA is selected).
Upper Threshold - RSI level above which a bullish (long) signal is triggered (default 55).
Lower Threshold - RSI level below which a bearish (short) signal is triggered (default 45).
Overbought Threshold - RSI level indicating overbought conditions (default 85).
Oversold Threshold - RSI level indicating oversold conditions (default 15).
📌 Usage Notes
Versatile Application: Use Momentum RSI for both trend-following and mean-reversion strategies.
Signal Clarity: The momentum integration reduces noise, helping avoid false breakouts and improving entry timing.
Customization: Adjust smoothing lengths and MA types to match the characteristics of your trading style or the specific asset.
Visual Aids: Background colors, candle coloring, and shape markers facilitate quick interpretation of momentum strength and trend changes.
Threshold Sensitivity: Fine-tune thresholds to balance between early signals and signal reliability.
Intrabar Updates: Signals may update on lower timeframes for responsive trading.
Combine with Other Tools: For best results, use Momentum RSI alongside volume, price action, or other confirmation indicators.
Backtest Before Live Trading: Always validate settings on historical data to ensure suitability for your trading instrument and timeframe.
⚠️ Disclaimer
This script is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves risk, and users should perform their own due diligence before making any trading decisions.
Adaptive Moving AverageAdaptive Moving Average
The Adaptive Moving Average (AMA) dynamically adjusts to market conditions, selecting the most responsive behavior while filtering noise to provide clearer trend guidance.
🚀 Why It’s Unique
• Exclusive adaptive logic unique to this script
• High speed with reduced noise
• Strong performance on volatile assets such as SOLUSD and CROUSD
• Highly customizable moving average combinations
• Multi-layer processing for improved accuracy
• Color-changing plots and reversal highlights for quick interpretation
💡 Core Idea
The indicator blends multiple user-selected moving averages and dynamically emphasizes the one best suited to current market conditions. This preserves responsiveness during strong moves while filtering weak or noisy signals.
⚙️ How It Works
Three user-selected moving averages are calculated using the same base length.
A first adaptation layer weights the averages based on their rate of change responsiveness.
A second rate-of-change filter measures market conditions to suppress signals during unstable environments.
The final adaptive average changes behavior depending on market speed and direction.
The result is a moving average that reacts quickly during trends while remaining stable during choppy periods.
📌 Usage Notes
• Color changes indicate shifts in trend direction.
• Highlighted diamonds mark reversal events.
• Higher adaptation thresholds reduce signals but increase reliability.
• Lower thresholds increase responsiveness for faster trading styles.
🧭 Conclusion
The Adaptive Moving Average continuously adjusts its behavior to reduce false signals while maintaining speed and responsiveness. It offers a versatile tool for traders seeking clearer market structure and improved strategy execution.
MACD Standard DeviationMACD Standard Deviation
The MACD Standard Deviation is a smoother, volatility-adjusted version of MACD designed to improve signal quality and reduce noise while preserving fast market responsiveness.
🚀 Benefits
• Strong performance on assets like BNBUSDT
• Faster entries with reduced signal noise
• Simple and efficient calculation method
• Improved trend clarity compared to classic MACD
💡 Core Idea
The objective is to create a cleaner MACD signal by measuring and adapting to its volatility. By accounting for dispersion, the indicator filters weak fluctuations and keeps meaningful momentum moves.
⚙️ How It Works
A standard MACD is calculated using selected moving averages.
Standard deviation of the MACD is computed over a chosen period.
Upper and lower dynamic levels are derived from MACD median and volatility.
These adaptive bands help filter false signals and better capture trend direction.
The result is a smoother, more stable MACD-based trend tool.
📌 Usage Notes
• Crosses around the zero line indicate potential trend shifts.
• Expanding band distance suggests rising momentum volatility.
• Contracting distance often signals consolidation phases.
• Histogram changes help visualize acceleration or weakening momentum.
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.
Moving Average Divergence BandsMoving Average Divergence Bands
Moving Average Divergence Bands (MADB) is a trend-following overlay indicator designed to capture fast-moving trends while filtering out low-quality signals. It was developed with highly volatile markets in mind, particularly altcoins, where rapid entries are important but false breakouts are common.
The indicator builds adaptive price bands using two moving averages of different speeds and applies a statistical filter to allow signals only when market conditions show sufficient momentum. The result is a structure that attempts to combine fast reaction with controlled signal quality.
🚀 Core Idea
The objective of MADB is to create bands that respond quickly to market moves while avoiding entries during low-probability conditions.
This is achieved by combining fast and slower moving averages and activating signals only when price movement shows statistically meaningful deviation from its recent norm. In this way, entries tend to occur during periods with higher potential reward and reduced noise.
🔍 How It Works
The indicator calculates two moving averages:
• A primary moving average using the chosen length
• A secondary moving average using half of that length
Both averages are mathematically combined using exponent-based transformations, producing two divergence-based values. The higher value becomes the upper band, and the lower value becomes the lower band.
To filter signals, the script then computes a Z-score of price relative to its recent average. A trend switch occurs only when:
• Price breaks above or below the adaptive band, and
• The absolute Z-score exceeds the user-defined threshold.
This ensures signals occur only when price movement is statistically significant, reducing entries during low-volatility noise.
⚙️ Key Features
• Fast trend-following bands optimized for volatile markets
• Dual moving-average divergence construction
• Z-score filtering to reduce false signals
• Multiple moving-average types supported
• Adjustable statistical sensitivity
• Visual band and trend coloring styles
🧩 Inputs Overview
• Moving-average length and source
• Moving-average type selection
• Z-score calculation length
• Z-score activation threshold
• Visual style presets for band coloring
📌 Usage Notes
• Designed to identify strong market moves while filtering weak breakouts.
• Particularly suited for volatile markets and altcoin trading environments.
• Band breaks without sufficient Z-score strength will not trigger signals.
• Signals may change intrabar on lower timeframes.
• Best used alongside risk management and confirmation tools.
• No indicator eliminates risk; testing and validation are always recommended.
This script is intended for analytical use only and does not constitute financial advice.
Adaptive RSIAdaptive RSI
Adaptive RSI is an enhanced version of the classic Relative Strength Index designed to automatically adjust its behavior to changing market conditions. The indicator can operate both as a mean-reversion oscillator and as a trend-following momentum tool, allowing traders to detect high/low value zones while also capturing directional moves.
Unlike the traditional RSI, which uses a fixed smoothing method, Adaptive RSI dynamically changes its calculation speed depending on market activity. This helps reduce false signals in slow or choppy markets while allowing faster responses during strong moves.
🔍 Concept & Idea
The goal behind Adaptive RSI is to make RSI responsive when opportunities appear and more conservative during uncertain or low-activity environments.
By automatically adjusting its internal smoothing and reaction speed, the indicator attempts to balance:
• Early entries during strong market moves
• Reduced noise during consolidation
• Mean-reversion opportunities in ranging markets
• Momentum confirmation in trending markets
This adaptive behavior makes the oscillator more versatile across multiple market conditions.
⚙️ How It Works
The indicator evaluates market activity using three drivers:
• True Range (volatility)
• Volume activity
• Rate of price change
Users can define which of these factors has priority. The script then checks up to three conditions; the more conditions that are satisfied, the faster and more responsive the RSI calculation becomes.
This creates multiple internal speed tiers ranging from smooth and conservative to highly responsive.
After the adaptive RSI is calculated, an additional adaptive smoothing layer is applied using the same logic, improving signal clarity while preserving responsiveness.
An optional feature allows the RSI to use a special Rate-of-Change weighted price source. This feature is more advanced and mainly intended for users who understand how weighted price construction affects oscillators.
A divergence measure between the base RSI and the smoothed Adaptive RSI is also plotted to help visualize shifts in momentum strength.
⚙️ Key Features
• Adaptive RSI calculation speed
• Works for both trend-following and mean-reversion approaches
• Adjustable long and short signal thresholds
• Overbought and oversold zone highlighting
• Divergence histogram between RSI and adaptive smoothing
• Trend-based coloring and visual signal markers
• Optional ROC-weighted source for advanced users
🧩 Inputs Overview
• RSI calculation length and smoothing length
• Price source selection or optional special weighted source
• Speed tier selection (slow, medium, fast behavior)
• Activity priority order (volatility, volume, momentum)
• Long/short and overbought/oversold thresholds
📌 Usage Notes
• Can be used both for trend continuation and mean-reversion strategies.
• Adaptive logic helps reduce noise during sideways markets.
• Strong moves may cause faster RSI transitions due to adaptive speed selection.
• Signals may update intrabar on lower timeframes.
• Works best when combined with risk management and confirmation tools.
• No indicator is perfect; always test before live use.
This script is intended for analytical purposes only and does not provide financial advice.
Multiple Factor Adaptive MA SuperTrendMultiple Factor Adaptive MA SuperTrend
Multiple Factor Adaptive MA SuperTrend is an enhanced trend-following overlay that builds on the classical SuperTrend concept by introducing an adaptive moving-average base. The indicator dynamically adjusts to changing market conditions to produce smoother and faster trend signals, helping traders better track directional moves while reducing unnecessary noise.
Instead of relying on a fixed moving-average base, the indicator updates its baseline only when market conditions justify it. This creates a stabilizing effect during consolidation while allowing quicker reactions when volatility, momentum, or activity increases.
🔍 How It Works
The indicator combines:
• A user-selectable Moving Average as the core trend base
• ATR-based volatility bands to detect trend transitions
• An adaptive filter that determines when the base should update
The adaptive mechanism evaluates market conditions using one of several selectable drivers:
• ATR expansion (volatility increase)
• Rate-of-change acceleration
• Rising trading volume
• Increasing divergence between price and the moving average
If the chosen condition signals increased activity or market change, the moving-average base updates normally. Otherwise, the previous base value is retained, effectively smoothing the trend structure and filtering minor fluctuations.
Volatility bands are then calculated around this adaptive base using ATR multiplied by a configurable factor. Trend changes occur when price crosses these bands.
When price breaks above the upper band, a bullish trend is activated and the lower band becomes the trailing support. When price breaks below the lower band, a bearish trend is activated and the upper band acts as trailing resistance.
⚙️ Key Features
• Adaptive moving-average baseline
• Multiple MA types including SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, and EWMA
• ATR-based volatility bands
• Multiple adaptation modes (volatility, momentum, volume, divergence)
• Reduced noise during consolidation phases
• Smooth trend visualization and transition markers
🧩 Inputs Overview
• Moving-average type and length
• Price source selection
• ATR length and multiplier
• Adaptive filter method selection
📌 Usage Notes
• Useful for identifying prevailing market direction and trend shifts.
• Adaptive filtering can help reduce false signals during sideways markets.
• Signals may update intrabar on lower timeframes.
• Best results are achieved when combined with confirmation tools or risk management rules.
• This script is intended for analytical purposes and does not provide financial advice.
Threshold AO VisualisationThe channel is a set of classic indicators with the ability to be customized, allowing for comprehensive market analysis and the ability to find entry points.
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
```
Seasonality (Prev Month Close Expected)Seasonality Indicator
This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns.
The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify.
Vladimir Popdimitrov
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.
