NY 9:30-9:35 Open Rangehis indicator automatically plots the New York Opening Range based on the first 5 minutes of the session (09:30–09:35 NY time) — one of the most important liquidity and price-discovery periods of the trading day.
What it displays
- Opening Range Box (09:30–09:35)
Highlights the high and low formed during the first 5 minutes after the NY market opens.
High & Low Extensions Horizontal projection lines extending the opening range forward for a user-defined number of hours.
Midpoint (50%) Level, A dotted line marking the midpoint of the range, useful for balance, mean-reversion, and confirmation setups.
トレンド分析
[Saga Trading] Moving Average ProThis open-source indicator provides trend and market structure context using multiple moving averages.
It allows traders to visualize several moving averages simultaneously, with configurable calculation methods (EMA, SMA, or RMA), in order to better assess trend alignment, momentum, and structural bias.
Common references such as the 50-period and 200-period averages are included because they are widely observed by market participants. Crossovers between these averages (often referred to as golden or death crosses) are displayed as structural information only and should not be interpreted as trading signals.
The purpose of this tool is to help traders understand market structure and trend context, not to generate entries or exits.
This indicator is intended for educational and analytical purposes and should be used alongside price action and broader market analysis.
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! 📊📈
Borna High/Low📌 Borna High/Low
Borna High/Low is a clean and precise indicator that automatically plots the Asian session High and Low levels on GER40 (DAX) directly on the price chart.
It is designed for traders who use the Asian range as a liquidity zone and as a key reference for Frankfurt and London open trading strategies.
🔍 What this indicator does
Automatically calculates Asia High and Asia Low
Draws levels directly on the price chart (overlay)
Optional line extension to the right or both sides
Optional mid-line between High and Low
Session-end labels for clear visual reference
Stable plotting that does not shift when zooming
⏰ Session Settings
Default Asian session: 00:00 – 07:00
Fully customizable time window (e.g. 00:30 – 07:00)
Timezone support (recommended: Europe/Berlin for GER40)
⚙️ Customization
Line style: Solid / Dashed / Dotted
Line width
Extend mode: Right / Both / None
Toggle mid-line
Toggle session labels
📈 How to use
Use Asia High / Low as:
Liquidity targets
Range boundaries for London breakouts
Premium / Discount reference levels
Ideal for scalping and intraday trading on GER40
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! 📊💰
Chande Momentum Oscillator - CMO🎯 Overview
This is a sophisticated Chande Momentum Oscillator indicator that combines traditional momentum analysis with dynamic moving average filtering. Unlike basic CMO implementations, this version features gradient visualization, multiple color themes, and a clear signal dashboard for precise momentum identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.cmo() function with customizable source and period length
📈 Dual Analysis Components:
CMO Line: Pure momentum oscillator ranging from -100 to +100
MA Filter: Customizable moving average that acts as dynamic signal line
Gradient Zones: Visual fill between CMO and MA showing momentum intensity
⚡ Dynamic Comparison: Creates clear bullish/bearish signals based on CMO vs MA position
2. 🎛️ Configuration Parameters
📏 CMO 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: CMO > MA Filter (momentum above trend)
🔴 BEARISH: CMO < MA Filter (momentum below trend)
3. 🎨 Visual Elements
🚨 Gradient Zones:
Upper zone (CMO > MA): Green gradient showing bullish momentum intensity
Lower zone (CMO < MA): Red gradient showing bearish momentum intensity
📋 Dashboard Display: Top-right status indicator showing "⬆️ Bullish" or "⬇️ Bearish"
📊 Dynamic Coloring: CMO line changes color based on position relative to MA
⚡ Trading Applications
📈 Primary Uses:
🎯 Momentum Direction Identification:
CMO > MA = Bullish momentum regime
CMO < MA = Bearish momentum regime
💪 Momentum Strength Assessment:
CMO > +50 = Strong bullish momentum
CMO < -50 = Strong bearish momentum
Between -50 and +50 = Moderate momentum
🚨 Crossover Signals:
Bull Signal: CMO crosses above MA
Bear Signal: CMO crosses below MA
📊 Zone Analysis:
🟢 Bullish Zones:
Light to dark green gradient as CMO rises
Strongest color at highest CMO values
🔴 Bearish Zones:
Light to dark red gradient as CMO falls
Strongest color at lowest CMO values
🟡 Equilibrium: Yellow MA line acts as dynamic pivot
🎨 Customization Options
👁️ Display Features:
📊 Dual Components: Always shows both CMO line and MA filter
🎨 Gradient Visualization: Automatic fill between lines showing momentum intensity
📋 Status Dashboard: Clear bullish/bearish indication
📈 Customizable MA: Choose from 6 different moving average types
🎨 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 CMO crosses above MA
🔴 SHORT Alert: Triggers when CMO crosses below MA
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Clear Momentum Signals: Direct comparison between CMO and MA provides unambiguous entries/exits
💪 Trend Filter: MA acts as dynamic support/resistance for momentum
👁️ Visual Clarity: Gradient zones show momentum intensity at a glance
🔄 Flexible Configuration: Multiple MA types for different trading styles
📊 Professional Dashboard: Immediate status recognition
📊 Optimal Settings:
⚡ Short-term Trading: CMO Length 9-14, MA Length 20-50
📊 Medium-term Trading: CMO Length 14-20, MA Length 50-100
📈 Long-term Trading: CMO Length 20-30, MA Length 100-365
🏆 Unique Features:
🎯 Gradient Visualization: Color intensity reflects momentum strength
📊 MA Filter Flexibility: 6 different moving average types
🎨 Consistent Design: Matches your indicator family aesthetics
📋 Status Dashboard: Quick visual confirmation of regime
🔧 Dual Analysis: Combines momentum oscillator with trend filter
🔄 Trading Strategies
1. Basic Momentum Strategy:
Go LONG when CMO crosses above MA
Go SHORT when CMO crosses below MA
Use extreme readings (>+80 or <-80) for overbought/oversold conditions
2. Momentum Strength Strategy:
Strong bullish: CMO > MA AND CMO > +50
Strong bearish: CMO < MA AND CMO < -50
Weak signals: Between -50 and +50
3. Divergence Detection:
Price makes higher high, CMO makes lower high → Bearish divergence
Price makes lower low, CMO makes higher low → Bullish divergence
📈 Performance Tips
Combine with Trend: Use in trending markets (avoid ranging periods)
Confirmation: Wait for candle close after MA crossover
Extreme Readings: +80/-80 often precede reversals
MA Selection: EMA for responsiveness, SMA for smoothness
Multiple Timeframes: Check higher timeframe CMO alignment
This enhanced CMO indicator provides professional-grade momentum analysis with intuitive visualization, allowing traders to quickly identify momentum regimes and strength while filtering out market noise through the customizable moving average filter! 📊🎯
Stochastic Momentum Index - SMI🎯 Overview
This is a Stochastic Momentum Index (SMI) indicator that combines stochastic momentum with moving average smoothing to identify trend direction and momentum strength in financial markets. The SMI measures where the current price closes relative to the midpoint of its recent trading range, providing enhanced sensitivity to price momentum.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.stoch() function
📈 Range-Based: Compares closing price to high-low range over specified period
🎯 Scale: Oscillates between 0-100 with 50 as neutral midpoint
2. 🎛️ Configuration Parameters
📏 SMI Length: Default 101 periods (long-term smoothing)
📊 Source Price: Customizable (default = Close)
📈 MA Length: 30-period moving average applied to SMI
🔄 MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
🎨 Color Themes: 5 visual schemes (Classic, Modern, Robust, Accented, Monochrome)
📈 Signal Interpretation:
🟢 BULLISH: SMI > 50 (price closing in upper half of range)
🔴 BEARISH: SMI < 50 (price closing in lower half of range)
🎯 Neutral Zone: Around 50 indicates balanced momentum
👁️ Visual Features
📈 Signal Line (MA):
Yellow moving average of SMI
Smooths momentum for clearer trend identification
🎯 Reference Lines:
50-level midpoint (white dashed line)
0-100 scale boundaries
🎨 Fill Zones:
🟢 Upper Zone : Bullish momentum area
🔴 Lower Zone : Bearish momentum area
Gradient fills enhance visual clarity
📋 Dashboard Display:
Content: "⬆️ Bullish" or "⬇️ Bearish" indicator
Purpose: Quick market bias assessment
⚡ Trading Applications
📈 Primary Uses:
🎯 Trend Identification
SMI > 50 = Uptrend momentum
SMI < 50 = Downtrend momentum
📊 Momentum Strength
Values near 100 = Strong bullish momentum
Values near 0 = Strong bearish momentum
Values around 50 = Neutral/consolidation
🔄 Mean Reversion
Extreme readings (near 0 or 100) may indicate overbought/oversold conditions
⏰ Timeframe Compatibility:
📅 Long-term: 101-period default suits swing/position trading
📊 Medium-term: Adjust lengths for daily/weekly analysis
⚡ Short-term: Reduce periods for intraday trading
🎨 Customization Options
🔄 Moving Average Types:
📉 EMA: Exponential - responsive to recent changes
📊 SMA: Simple - equal weight to all periods
📈 RMA: Relative - TradingView's special moving average
⚖️ WMA: Weighted - emphasizes recent data
💎 VWMA: Volume-weighted - incorporates volume
🚀 HMA: Hull - reduces lag significantly
🎨 Visual Themes:
🎨 Classic: Green/Red (traditional trading colors)
🚀 Modern: Cyan/Purple (modern aesthetic)
💪 Robust: Amber/Deep Purple (high contrast)
🌈 Accented: Purple/Magenta (vibrant)
⚫⚪ Monochrome: Light Gray/Dark Gray (minimalist)
🔔 Alert System
🟢 LONG Alert: Triggers when SMI crosses above 50
🔴 SHORT Alert: Triggers when SMI crosses below 50
📧 Format: Includes ticker symbol for easy identification
⚡ Key Advantages
✅ Strengths:
🎯 Clear Signals: Simple >50/<50 threshold for easy interpretation
📊 Range-Bound: Always oscillates 0-100 (no divergence issues)
👁️ Visual Clarity: Color-coded zones make analysis intuitive
🔄 Customizable: Multiple MA types and visual themes
📱 Professional: Clean, organized display suitable for all traders
Multi-Session Volume Profile Suite [MarkitTick]💡 This indicator provides a sophisticated, institutional-grade Volume Profile analysis suite that renders multiple temporal profiles simultaneously. It is designed for traders utilizing Auction Market Theory who require a holistic view of where value is being established across Daily, Weekly, and Monthly timeframes, alongside custom intraday sessions. By bypassing standard built-in functions in favor of a custom array-based calculation engine, this tool offers granular control over Value Area logic, Point of Control (POC) migration, and multi-timeframe confluence detection.
✨ Originality and Utility
Standard Volume Profile tools often limit traders to a single timeframe or the visible range of the chart. This creates a fragmented view of the market, where a trader might see the daily value but miss the context of the weekly or monthly auction.
This script solves that problem by layering three distinct higher-timeframe profiles (Daily, Weekly, Monthly) plus three customizable intraday session profiles onto a single chart.
● Key Differentiators
Confluence Detection Engine: The script mathematically calculates when the Points of Control (POC) of different timeframes overlap (e.g., Daily POC inside Weekly POC). It explicitly highlights these high-probability zones with specific labels (e.g., "TRIPLE CONFLUENCE"), automating the search for key support/resistance levels.
POC Migration Tracking: Unlike static profiles, this tool tracks the "Shift" of the POC. It visualizes whether value is migrating higher (▲), lower (▼), or remaining neutral (=) compared to the previous period, providing immediate insight into the trend's acceptance.
Synthetic Chart Protection: The script includes logic to detect and prevent usage on non-standard chart types like Heikin Ashi or Renko, ensuring that the volume data processed is accurate and not subject to the repainting often found in synthetic OHLC variations.
🔬 Methodology and Concepts
The core engine relies on a custom implementation of the Volume Profile formula using dynamic arrays. It does not simply pull pre-calculated data but processes the tick volume of the underlying asset relative to price action.
• Volumetric Binning
The script divides the price range of a specific period (e.g., a Day) into a user-defined number of "rows" (bins). As price trades within a specific bin, the corresponding volume is accumulated.
Point of Control (POC): The bin with the highest accumulated volume is identified as the POC. This represents the "Fair Value" or the mode of the distribution for that period.
Value Area (VA): The script calculates the total volume of the profile and then identifies the range surrounding the POC that contains a specific percentage (default 70%) of that volume. It uses a dual-scanning algorithm that expands upwards or downwards from the POC based on which adjacent row has higher volume, mimicking the auction process of testing prices.
• Exact-Anchor Pivots
Simultaneously, the script tracks "Exact-Anchor" pivots. Unlike standard pivots that settle at the close, these track the absolute High and Low of the period (Daily/Weekly/Monthly) in real-time and extend them until a new period begins.
🎨 Visual Guide
The indicator uses a color-coded hierarchy to distinguish between timeframes. Understanding this visual language is critical for interpreting the data.
● Profile Hierarchy (Default Theme)
Daily Profile (Yellow/Gold): Represents the immediate, short-term auction.
Solid Line: Daily POC.
Dotted Line: Daily Value Area High (VAH) and Low (VAL).
Weekly Profile (Blue): Represents the intermediate auction. A solid Blue line indicates the Weekly POC.
Monthly Profile (Purple): Represents the macro auction. A solid Purple line indicates the Monthly POC.
● Labels and Symbols
Right-Side Labels: At the end of profile lines, text labels display the exact price of the POC.
Shift Arrows (▲ / ▼): Located inside the POC label, these arrows indicate the direction the POC has moved relative to the previous period's POC. An Up arrow (▲) suggests buyers are accepting higher prices.
Confluence Labels: If enabled, a text box appears near price action stating "POC CONFLUENCE" or "TRIPLE CONFLUENCE" when the POCs of different timeframes align within a tight margin.
Block Symbol (⬛): A small block icon may appear above bars to denote the center of a specific session's time window.
● Pivot Lines
Orange Lines: Previous Daily High (PDH) and Low (PDL).
Green Dashed Lines: Previous Weekly High (PWH) and Low (PWL).
Red Dotted Lines: Previous Monthly High (PMH) and Low (PML).
White Dashed Line: New York Midnight Open price (if enabled).
📖 How to Use
This suite is designed for "Contextual Trading." It answers the question: Where are we relative to value?
• Trend Acceptance
Observe the Shift Arrows on the POC labels. In a healthy uptrend, you should see a sequence of Daily and Weekly profiles with (▲) arrows, indicating that the market is validating higher prices as fair value. If price rises but the POC remains lower or shifts down, it may indicate a "weak high" or a potential reversal (divergence between price and value).
• Support and Resistance
The POC lines act as high-probability support and resistance. Price returning to a Weekly (Blue) or Monthly (Purple) POC often results in a reaction, as these are areas of significant historical agreement between buyers and sellers.
• The Confluence Play
Pay special attention when the "Confluence" label appears. When a Daily POC aligns with a Weekly or Monthly POC, that specific price level possesses reinforced structural importance. A rejection from such a level is a strong signal; a breakout through such a level often leads to an explosive move as value transitions rapidly.
⚙️ Inputs and Settings
The script is highly customizable via the settings menu.
● General Settings
Row Resolution: Determines the granularity of the profile. Higher numbers (e.g., 100) create smoother, more detailed profiles but use more calculation resources.
Value Area %: Default is 70.0, representing the standard deviation of value.
Show POC Shift: Toggles the (▲/▼) comparison logic.
● Profile Scope
Show Daily/Weekly/Monthly: Checkboxes to individually enable or disable specific timeframe profiles.
Session Lookback: Controls how many historical days/weeks the profiles are kept on the chart.
● Pivots (PDH/PMH/NYM)
Show Pivots: Enables the High/Low lines for previous periods.
Show NY Midnight: Specifically toggles the opening price of the New York session (00:00 EST).
● Alerts
Approach Distance: Sets the sensitivity (in ticks) for alerts when price nears a key POC level.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is grounded in Auction Market Theory (AMT) and statistical distribution analysis.
• The Market as a Mechanism
AMT postulates that the primary purpose of the market is to facilitate trade. Price advertises opportunity, while Time regulates the opportunity. Volume is the validation of that price. When the market spends significant time and transacts significant volume at a specific level, it establishes "Value."
• Gaussian Distribution and Central Limit Theorem
A Volume Profile is essentially a histogram of volume over price, often resembling a Gaussian (Normal) Distribution or "Bell Curve" when the market is balanced.
POC (Mode): The peak of the curve. Mathematically, this is the mode of the dataset—the price occurring with the highest frequency (volume).
Value Area (Standard Deviation): In a normal distribution, approximately 68.2% of data points fall within one standard deviation of the mean. This script defaults to a 70% Value Area to approximate this statistical boundary. Prices outside this area are considered statistically significant anomalies or "imbalanced."
• Confluence and Probability
The "Confluence" feature leverages the intersection of independent datasets. If the mode (POC) of a short-term distribution (Daily) aligns with the mode of a long-term distribution (Weekly), the probability of that price representing "True Value" increases exponentially. This aligns with statistical principles where overlapping data clusters suggest a stronger underlying signal amidst market noise.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Relative Strength Index - RSI🎯 Overview
This is an enhanced Relative Strength Index (RSI) indicator for TradingView that combines traditional RSI analysis with a moving average overlay to generate more reliable trading signals ⚡
🧩 Core Components
1. ⚙️ Indicator Settings
2. 🎛️ Input Parameters
A. 🎨 Color Settings:
5 different color themes: 🎨 Classic, 🚀 Modern, 💪 Robust, 🌈 Accented, ⚫⚪ Monochrome
Each theme provides distinct bullish/bearish color pairs
B. 📊 RSI Configuration:
📏 Length: Default 14 periods
📈 Source: Default close price (customizable)
📊 RSI MA Length: Default 365 periods
🔄 RSI MA Type: 6 options (EMA, SMA, RMA, WMA, VWMA, HMA)
C. 📢 Signal Display:
✅ Toggle for Bull/Bear crossover signals
📋 Table display showing current market bias
3. 🧮 Technical Calculations
A. 📈 RSI Calculation:
Standard RSI formula using ta.rsi()
Configurable source and period length
B. 📊 RSI Moving Average:
Customizable MA type applied to the RSI values
Serves as a dynamic signal line
Default 365-period EMA smooths long-term trends
C. 🔔 Signal Detection:
🟢 isBull_RSI: RSI > RSI_MA (bullish condition)
🔴 isBear_RSI: RSI < RSI_MA (bearish condition)
🟢 Bull: Crossover signal (RSI crosses above MA)
🔴 Bear: Crossunder signal (RSI crosses below MA)
4. 👁️ Visual Elements
A. 📉 Main Plots:
📊 RSI Line: Thick line (width 3) colored conditionally based on position relative to its MA
📈 RSI MA Line: Yellow line showing the smoothed RSI
🎯 50-Level Line: Dashed white reference line
B. 🎨 Fill Areas:
🟢 Overbought Zone : Filled between RSI and MA
🔴 Oversold Zone : Filled between RSI and MA
Colors vary based on selected theme
C. 🌈 Background Highlights:
Subtle background coloring on bullish/bearish crossover signals
D. 📋 Table Display:
Shows "⬆️ Bullish" or "⬇️ Bearish" with appropriate coloring
5. 🔔 Alert System
🟢 LONG Alert: Triggers when RSI > RSI_MA
🔴 SHORT Alert: Triggers when RSI < RSI_MA
Includes ticker symbol in alert message
🏁 Trading Logic
🎯 Primary Signals:
🟢 Bullish Setup:
📈 RSI crosses above its moving average
📊 RSI remains above MA (continuous bullish condition)
🎨 Visual: Green/theme bull colors, bullish fill areas
🔴 Bearish Setup:
📉 RSI crosses below its moving average
📊 RSI remains below MA (continuous bearish condition)
🎨 Visual: Red/theme bear colors, bearish fill areas
✨ Key Features:
📊 Trend Filter: The RSI MA (365-period) acts as a long-term trend filter
⚡ Momentum + Trend: Combines momentum (RSI) with trend (MA) for higher probability signals
👁️ Visual Clarity: Color-coded elements make market state immediately apparent
🛠️ Customizability: Multiple MA types and color schemes adapt to different trading styles
💻 Code Structure
The script is well-organized with clear sections:
🔧 MA function definition
⚙️ Input settings
🧮 Calculations
🎨 Color definitions
📊 Plotting
📋 Table display
🔔 Alert conditions
🎯 Best Use Cases
📈 Trend Following: In trending markets, signals align with the overall direction
🔄 Mean Reversion: In ranging markets, oversold/overbought fills indicate potential reversals
⏰ Multi-Timeframe Analysis: Works well on daily/weekly charts for long-term positioning
✅ Signal Confirmation: Can be combined with other indicators for entry/exit confirmation
🏆 Unique Advantages
🎯 Reduced Whipsaws: Long MA period (365) filters out noise
👁️ Clear Visual Hierarchy: Multiple visual layers convey information efficiently
💼 Professional Presentation: Clean, organized display suitable for sharing
🛠️ Flexible Configuration: Adaptable to different assets and timeframes
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions.
This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments.
Core Concept
This indicator answers one fundamental question:
Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range?
Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers.
How It Works
1) WMA Baseline (Directional Structure)
At its core, the indicator defines the market’s structural center using a Weighted Moving Average:
* WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness
* The baseline can optionally be smoothed further in intraday mode to reduce micro-chop
This provides a stable anchor for dispersion-based regime classification.
2) MAD Volatility Engine (Robust Dispersion Core)
Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline:
* Compute absolute deviation:
|Close − Baseline|
* Take rolling median of deviation over madLen
* Optional normalization scales MAD toward a stdev-like measure (via constant factor)
This makes volatility estimation:
* Outlier-resistant
* Wick-resistant
* Regime-stable during abnormal price spikes
3) MAD Bands + SuperTrend Trailing Logic (Regime State Model)
Bands are built as:
* Upper Band = Baseline + Factor × MAD
* Lower Band = Baseline − Factor × MAD
Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs.
That produces a state engine:
* Bull regime when price breaks above the trailing upper logic (transition into trend-up state)
* Bear regime when price breaks below the trailing lower logic (transition into trend-down state)
This behaves like a structural market regime model, not a reactive oscillator.
4) Strength Engine (Deviation-Based Intensity)
A defining layer of this tool is the MAD Z-score intensity system:
* Compute Z-score:
z = |Close − Baseline| / MAD
* Map into a 0 → 1 strength scale
Interpretation:
* Low deviation = weak regime confidence (likely chop / mean reversion)
* High deviation = strong regime confidence (trend expansion)
5) Intensity Visual Engine (Signal Clarity Layer)
WMA MAD Trend includes a protected visual engine that scales opacity with strength:
* Strong expansion = solid trend band
* Weak deviation = faded band
This gives immediate clarity:
Not all flips are equal — strength is displayed structurally.
6) Optional Institutional Filters
Two optional confirmation modules allow institutional-grade filtering:
Baseline Confirmation
* Bull flips only accepted if price is above baseline
* Bear flips only accepted if price is below baseline
EMA Stack Filter
* Bull only when Fast EMA > Slow EMA
* Bear only when Fast EMA < Slow EMA
These modules make the tool suitable for:
* Directional portfolio bias frameworks (RSPS)
* Regime classification overlays
* Trend confirmation filters for execution systems
7) Strong Flip Tier Alerts
Signal quality is tiered:
* Standard flip alerts
* Strong flip alerts only when deviation strength exceeds a threshold
This produces a higher-confidence regime transition model for swing positioning and exposure scaling.
How To Use
✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems
Best use cases:
* 1H–1D trend frameworks
* Regime filters for signal stacking
* Chop suppression in volatile markets
Suggested workflow:
* Bull bias when the regime is bullish and strength is rising
* Reduce risk / defensive when strength fades or a bearish flip occurs
* Pair with execution tools (breakout/mean-reversion entries) for timing
Screenshot Placement
📸 Example chart / screenshot: snapshot
Relative Performance ComparisonThe Script was made to compare the performance of the YM and the NQ for a period of time that you can adjust with the lookback period. There is also the possibility to adjust the smoothing of the lines in the graph and you can enable or disable the several visuals. If you wish to compare something different then you could also enter the ticker of the assets that you want to compare.
For YM and NQ the idea is that they have a high correlation and that if one of them is weaker than the other one, the stronger one could have more potential in that direction. Or if for example the weaker one is shifting in sctructure then the stronger one could also shift in structure but has the possibility of more gain as it held stronger through the weakness of the other one.
Percentage Volume Oscillator (Up-Only Hist)Based on a regular PVO, it points all bars upwards for a clearer read on how participation is changing.
ATR + ADX Expansion This script plots in real time a shorter period ATR compared to a longer period ATR allowing one to see if the market has above or below average volatility. This helps avoid choppy sideways markets.
Secondly, the table shows whether ADX is expanding above its signal line, or contracting below it's signal line further identifying a market in expansion or contraction.
Any set up must be deployed in a healthy market environment, this indicator measures core statistics in real time to allow you see at a glance what state the market is in.
Impulse Trend ArrowsThis indicator is a volatility-normalized momentum + trend state tool designed to provide a clean “market regime” read: UP / DOWN / NEUTRAL, with optional visual confirmation on the chart. Works on collection of clasic indicators and some simple math.
⚙️ How it works (logic)
1) Adaptive baseline
The core reference line is an EMA(basisLen) acting as a dynamic equilibrium price. You can treat this setting as a sensitivity for entire thing.
2) ATR volatility envelope
An ATR channel is built around the baseline:
Upper Band = EMA + (ATR × multiplier)
Lower Band = EMA − (ATR × multiplier)
This scales signals to current volatility (tight markets vs. fast markets).
3) “Impulse” detection
Bull impulse when price is above both the baseline and the upper ATR band.
Bear impulse when price is below both the baseline and the lower ATR band.
4) Momentum confirmation (filters)
Signals are confirmed only when momentum agrees:
RSI must be on the correct side of 50
MACD Histogram must match direction (positive for bullish / negative for bearish)
So a signal requires price expansion (ATR breakout) + momentum agreement (RSI + MACD).
🧭 Trend state behavior
When a new BUY/SELL impulse is confirmed, the script updates a persistent trend state (“BUY”, “SELL”, or “NONE”).
That state stays active until the opposite confirmed impulse appears.
✅ Visuals & Usage
Made some minor, mostly visual upgrades on this release:
Baseline + ATR bands are smoothed for cleaner visuals.
Optional BUY/SELL arrows are plotted outside the channel to avoid overlap with channel.
Optional full-chart background shading reflects the current trend state:
Green = UPTREND
Red = DOWNTREND
A minimal top panel shows the current regime (UP / DOWN / NEUTRAL).
I also recently added this channel smoother parameter (for Dragon Channel), if you want it to have less spikes on those MAs just use the bigger number, I picked 8 for default.
Actualy its as simple as just follow the arrows direction, given the correct settings with slightly higher basisLen on higher TFs you can get prety accurate long shots. Ofcourse you can still can get random signals or noise on lower TFs, so it can be used as a background trend/momentum confirmation layer alongside your other favorite indicators or strategy tools.
Moving Averages - High_Low & Close/ Written by Love Sharma, CMT, CFTe , the concept is to identify when the moving average is rising and that too of highs and lows
//since there are various ways to generate signal from moving average but the high or low of MA has much weight of evidence as we are using the slope
One can just use the slope, or close above/below MA
//THE IDEA IS SIMPLE TO REMAIN RIGHT SIDE OF THE TREND
Exhaustion 1-9 ScannerFind numbers to use in the scanner. If +9 or close is a berishsetup, if -9 or close is a bullish setup
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average
Overview
Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs:
They overreact to noise in chop, causing constant micro-flips.
They lag too much when you smooth them enough to stop that noise.
StepGMA tackles this by combining two layers:
A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length.
A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful.
The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough.
What the indicator is trying to represent
Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that:
Most price movement is noise relative to volatility.
Trend only matters when it advances by a meaningful amount.
A good trend line should stay stable until the market forces it to move.
That makes this indicator useful as:
A regime filter (trend vs chop).
A trend-following bias line.
A structure-like dynamic S/R reference.
A signal generator with fewer low-quality flips.
Component 1: Moving Average engine (selectable)
The base smoothing is not fixed. You can choose between multiple MA types:
SMA, EMA, WMA, VWMA: classic smoothing families.
DEMA, TEMA: reduced-lag EMA variants.
T3: smooth yet responsive, good for trend.
HMA: very low lag, can be twitchy without filtering.
ALMA: center-weighted smoothing, often “cleaner” visually.
KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes.
LSMA: regression-based, tends to track trend direction well.
McGinley: dynamic smoothing designed to reduce lag during fast moves.
This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top.
Component 2: Generalized Moving Average (GMA)
Where the idea comes from
Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is:
Apply a smoother once (MA1).
Apply it again (MA2).
Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness.
This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response.
How this script does it
It computes:
ma1 = MA(src, len)
ma2 = MA(ma1, len)
Then combines them using a volume factor (vf):
generalized = ma1 * (1 + vf) - ma2 * vf
Interpretation:
ma2 is a “more delayed” version of ma1.
Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness.
vf controls how aggressive that push is.
Volume Factor (vf) is really an aggressiveness knob
The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually:
Low vf: behaves closer to a normal MA1, smoother, more lag.
High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter).
So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period.
Component 3: Step Filter (the key behavior)
What a step filter is
A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step.
This is conceptually similar to:
A quantizer in signal processing (rounding changes to discrete increments).
A volatility threshold filter (ignore changes smaller than X).
Market structure logic where levels matter more than micro movement.
How it works in this script
The filter maintains a persistent value: stepped .
Each bar:
diff = src - stepped
If |diff| < stepSize, do nothing (hold the level).
If |diff| >= stepSize, move stepped by a number of step increments.
The step increment size is:
stepSize = (stepMult / 100) * ATR(atrPeriod)
This is critical:
In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability.
In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity.
So the step behavior automatically adapts to volatility.
Multiple-step catching behavior
If price jumps far beyond one step, the script does not move only one step. It moves by:
floor(|diff| / stepSize) * stepSize
So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves.
Direction and regime
Direction is determined by the stepped line, not the raw MA:
direction = +1 if steppedMA is rising
direction = -1 if steppedMA is falling
otherwise direction stays the same
Signals only trigger on direction state changes:
Long when direction flips to +1
Short when direction flips to -1
This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction.
Secondary line and gradient fill
The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer:
StepGMA is the structure line (discrete, regime-driven).
Slow MA is a smoother reference for the underlying drift.
The gradient fill highlights separation and dominance.
When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal.
How to interpret it
1) StepGMA as trend structure
Flat steps mean price is not making enough volatility-adjusted progress to move structure.
Up-steps mean the market has advanced enough to reprice the trend line upward.
Down-steps mean deterioration significant enough to reprice structure downward.
2) Direction is a regime, not a tick-by-tick call
Because direction is derived from step changes, it is naturally a regime filter:
Fewer flips in chop.
Clearer regime transitions.
Signals tend to occur later than ultra-fast tools, but with better confirmation quality.
3) Step size controls noise rejection
StepMult is the main “anti-chop” control:
Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react.
Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk.
4) Generalization controls responsiveness of the underlying trend estimate
vf controls how “fast” the MA tries to be before stepping:
Higher vf makes the MA respond faster to new price information.
Lower vf makes the MA smoother and more conservative.
The step filter then decides whether that change is meaningful enough to matter.
Practical use cases
Trend filter for entries
Only take longs when direction is bullish.
Only take shorts when direction is bearish.
Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully.
Dynamic support and resistance
Because the line holds levels, it often behaves like structure:
In uptrends it can act as a rising support reference.
In downtrends it can act as falling resistance.
Signal quality layer
The step-based flip signals tend to be higher quality than basic MA crossovers because they require:
A meaningful volatility-adjusted move.
A confirmed direction change in the stepped trend structure.
Trade management
Use StepGMA as a trailing invalidation reference.
Use direction flips as “hard” regime exits.
Use separation vs slow MA as a “pressure” gauge for scaling decisions.
Tuning guidelines
MA Type
Pick based on the character you want:
T3, ALMA, KAMA are usually good defaults for clean trend representation.
HMA/LSMA are faster but may need larger stepMult to avoid twitch.
SMA is slow and stable but can be too laggy unless vf is increased.
MA Period
Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.”
Volume Factor (vf)
Sets responsiveness compensation:
0.05–0.25 is usually sensible.
Higher than that can get aggressive, step filter will save you, but your steps may fire more often.
ATR Period and StepMult
These define your structure sensitivity:
ATR Period controls how stable the volatility estimate is.
StepMult controls how large a move must be to change structure.
If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period.
What this indicator is and is not
It is:
A trend structure MA that ignores sub-threshold noise.
A regime tool that uses volatility-adjusted repricing logic.
A configurable framework that works across assets and timeframes.
It is not:
A predictive reversal tool.
A scalping signal machine.
A replacement for risk management.
Summary
Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
Liquidity Grab Engulfing.This indicator highlights Liquidity Sweep Engulfing candles:
• Bullish: previous candle bearish, current candle sweeps the previous low and closes above the previous high.
• Bearish: previous candle bullish, current candle sweeps the previous high and closes below the previous low.
Use it as a price-action confirmation tool alongside your support/resistance, structure, and risk management. This script is for educational purposes only and does not constitute financial advice.
Accurate Swing Trading + Support Resistance MTF (EN)Swing trading setup based on volume and support restistance. use buy main signal for large trend change and for swing trade use buy
Adaptive ATR Trend FollowerDESCRIPTION:
A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels.
WHAT MAKES IT UNIQUE:
• Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments
• ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods
• Clear visual trend zones with adjustable transparency for better chart readability
• Educational focus on risk management concepts and adaptive position sizing
• Signal markers that highlight exact trend change points for precise analysis
HOW IT WORKS:
1. Calculates Average True Range (ATR) to measure current market volatility
2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier)
3. Automatically switches trend direction when price crosses the trailing stop level
4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring
5. Updates stop levels in real-time as market conditions change
EDUCATIONAL VALUE:
This indicator serves as a learning tool for understanding:
- How to use ATR for dynamic position and risk management
- The importance of adapting trading systems to current volatility conditions
- Trend-following principles with immediate visual feedback
- Risk management techniques through adaptive stop placement
- The relationship between volatility and optimal stop distances
SETTINGS EXPLAINED:
• ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings.
• ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops.
• Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets)
• Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection.
• Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line.
RISK WARNING & DISCLAIMER:
This is an educational trend-following tool designed for learning purposes. Important considerations:
• May produce whipsaw signals during sideways/consolidating markets
• Works best in clearly trending market environments
• Always combine with other analysis techniques for confirmation
• Practice proper risk management - never risk more than you can afford to lose
• Past performance does not guarantee future results
• This is NOT financial advice. Use at your own risk and discretion.
USE CASES:
- Learning about volatility-based trading systems and concepts
- Identifying potential trend direction changes with visual confirmation
- Setting adaptive stop-loss levels that adjust to market conditions
- Educational tool for understanding how ATR affects position management
- Visual study of how volatility impacts trend-following strategies
COMPATIBILITY:
• Works on all markets: Forex, Stocks, Crypto, Commodities, Indices
• Effective on multiple timeframes (5-minute to daily charts recommended)
• Compatible with other indicators for multi-factor analysis
INSTALLATION & USAGE:
1. Add indicator to your chart
2. Start with "Balanced" mode for most markets
3. Adjust ATR multiplier based on your risk tolerance
4. Use signals as potential entry/exit points (with confirmation)
5. Observe how stops adapt to changing volatility conditions
EDUCATIONAL TIP:
Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.
Adaptive Trend Checklist (EMA + Supertrend + ADX)Adaptive Trend Checklist is a market context and validation tool designed for discretionary traders who prioritize structure, risk control, and trade quality over aggressive signal chasing.
The script combines EMA, Supertrend, and ADX, with optional multi-timeframe (HTF) confirmation, to provide a clear view of market conditions before entering a trade.
This is not a signal-spamming indicator.
It is a visual checklist that helps identify when to trade, when to reduce risk, and when to stay out of the market.
🔹 Key Features
🔁 Automatic timeframe adaptation
Parameters (EMA, ATR, ADX, Supertrend) automatically adjust based on the current chart timeframe.
🧠 Trend & range filtering
Uses ADX and price structure to filter out ranging and low-probability market conditions.
⏱️ Multi-timeframe market context (optional)
Confirms directional bias using higher timeframes.
🧮 Risk classification
Trades are classified as:
NORMAL
REDUCED
NO TRADE
📋 Clear visual checklist
Displays in real time:
trading mode,
trend status,
ADX condition,
market session,
recommended risk level.
🎯 Integrated trade management
Automatically plots:
Entry
Stop Loss
Take Profits (TP1, TP2, TP3)
Position size in dollars based on selected risk.
🚫 No repaint
🚫 No signal spam
🚫 No win-rate promises
⚠️ Important Notice
This script is not intended for fully mechanical or automated trading.
It is designed as a decision-support tool for traders who understand market structure, context, and risk management.
Performance depends on:
market conditions,
timeframe,
and trader discipline.
👤 Who Is This For?
✔️ Discretionary traders
✔️ Scalpers & intraday traders seeking better filters
✔️ Swing traders needing HTF context
❌ Not recommended for blind signal following
📎 Usage Recommendation
Use it as a primary market filter, not as a standalone signal.
Combine it with your own entry criteria.
[CT] ORB SuiteThis indicator is an Opening Range first tool that also includes an Initial Balance framework, breakout detection, and a full target and alerting package. It is designed to define a clean Opening Range at the start of the regular trading session and then turn that range into an actionable breakout structure by plotting the key levels, projecting measured targets, and visually confirming the exact breakout candle on your chart. The Opening Range component can be configured as either the first bar of the session or a true time-based duration, such as 1, 2, 5, 10, 15, 30 minutes, or 1 hour, which lets you standardize the opening structure across different chart timeframes without needing to “count bars.” As price prints during the Opening Range window, the script continuously updates the OR high and OR low, then locks those levels once the window closes so you have a stable reference for the rest of the session. The OR area can be shaded for quick visual recognition, and an optional OR midpoint line and label can be displayed to help you judge whether price is accepting above the middle of the range or failing back through it.
Once the Opening Range is formed, the script upgrades the workflow by adding breakout qualification rules that you can control. You can choose confirmation based on a body cross, a close cross, or a close above or below the range boundary, which is a meaningful improvement over simple “touch” logic because it helps reduce false signals and makes the breakout trigger more consistent with how you actually trade. When a breakout is confirmed, the indicator can highlight the breakout candle itself so there is no ambiguity about which bar triggered the signal. You can highlight the candle body, the chart background, or both, and you can select separate colors for long and short breakouts. This makes chart review and live decision-making cleaner because you can immediately see where the breakout truly occurred instead of guessing between several candles that probed the level.
The next major upgrade is the breakout target system. After a long breakout, targets are calculated as true multiples of the Opening Range size, starting from the OR high and projecting upward by the selected multiples. After a short breakout, targets are calculated from the OR low and projected downward by the same multiple logic. By default, the script supports four take-profit targets, TP1 through TP4, with sensible preset multiples that step outward in a structured way, but you can customize each multiple to match your instrument and style. This target system is a practical enhancement because it provides objective, range-based profit-taking levels that align with common intraday expansion behavior rather than arbitrary fixed tick offsets. You also get full control over whether the target lines and labels appear only after a breakout triggers, which keeps the chart clean and prevents “pre-biasing,” or whether you want to see projected targets in both directions before the breakout occurs for planning and scenario mapping. In addition, the target hit detection is configurable so you can decide whether a target is considered “hit” by a simple high or low touch or only after a close crosses the target, which is important for traders who want stricter confirmation and cleaner backtesting logic.
Beyond the OR and targets, the indicator includes a complete Initial Balance module as an additional layer of structure. The IB duration is selectable and independent, and the script can plot IB high, IB low, and an optional IB midpoint, with optional fill shading to make the balance area obvious. A key upgrade here is the ability to base the breakout targets on either the Opening Range or the Initial Balance. This means you can run a pure OR breakout playbook, a pure IB breakout playbook, or compare both structures on the same session without changing indicators. This flexibility matters because OR breakouts tend to be more sensitive and earlier, while IB-based levels often better reflect the session’s early balance and can produce more stable expansion targets.
Another major improvement is the history and session management. The script can freeze all drawings at the end of the session so lines and fills do not incorrectly extend into the next day, and it can optionally keep a configurable amount of history, such as the last 20 sessions, so you can study how price reacts to prior OR and IB structures. You also have control over whether IB should be included in that stored history, which helps if you want a cleaner chart while still retaining the OR context. To support different chart themes and personal preferences, label styling is expanded with controls for label background colors, text colors, transparency, and horizontal offsets, so the levels remain readable without covering price action.
Finally, the alerting system is upgraded into a full set of actionable events. The indicator can generate alerts for session open and session close, for the moment the Initial Balance forms, for the moment the Opening Range forms, for long and short breakouts, and for each target hit from TP1 through TP4. Alerts can be used in standard alertcondition form or as dynamic alert() calls that include price-filled messages, which is a practical enhancement for traders who want their phone or desktop notifications to contain the exact level values rather than generic labels.
This script is a derivative work built on the original Initial Balance foundation authored by © czoa under the Mozilla Public License 2.0, with extensive additions and improvements by © ChaosTrader63 to expand it into a complete Opening Range and Initial Balance breakout suite. The core upgrades are the configurable time-based Opening Range, breakout candle highlighting, multi-target measured range projections through TP4 with optional pre-projection behavior, stricter breakout confirmation modes, target hit rules, richer history controls, stronger label customization, and a comprehensive alert system that turns the session structure into a usable trade planning and execution framework directly on TradingView.
