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
Indicadores e estratégias
BTC Trend Pullback (EMA200+EMA20) w/ ATR 1:2 RRStrategy Overview: BTC Trend Pullback (EMA200+EMA20)This strategy is a trend-following mean reversion system designed to capture high-probability entries within an established market regime. It utilizes a "dual-filter" approach: identifying the long-term trend while waiting for a short-term "cooldown" (pullback) before entering on a momentum confirmation signal.1. Trend Identification & FilteringThe strategy establishes market direction using the 200-period Exponential Moving Average (EMA).Bullish Regime: Price must be trading above the 200 EMA.Bearish Regime: Price must be trading below the 200 EMA.ADX Filter (Optional): To avoid "choppy" or sideways markets, an Average Directional Index (ADX) filter ensures that the trend has sufficient strength (typically $> 20$) before any trades are considered.2. The Pullback (Mean Reversion)Rather than chasing a breakout, this strategy waits for price to return to its "value zone"—the 20-period EMA.The script offers two modes for the pullback:Touch: A conservative entry where the candle wick merely taps the 20 EMA.Close Beyond: A more aggressive entry where the price must close on the opposite side of the 20 EMA, suggesting a deeper retracement.3. Execution via ConfirmationTo prevent "catching a falling knife," a trade is only triggered when price shows signs of resuming the primary trend. The user can select from:Bullish/Bearish Engulfing: A classic price action pattern where the current candle "swallows" the previous candle's body.Strong Close: A candle that closes in the top or bottom 40% of its total range (indicating high directional conviction).4. Risk Management (1:2 Reward-to-Risk)The strategy employs an Average True Range (ATR) based exit system to adapt to market volatility.Stop Loss (SL): Placed at $1.0 \times \text{ATR}$ from the entry price.Take Profit (TP): Placed at $2.0 \times \text{ATR}$ from the entry price.By using ATR, the strategy "breathes" with the market; stops are wider during high volatility and tighter during low volatility, maintaining a mathematically consistent 1:2 Reward-to-Risk ratio.
Crypto Institutional Liquidity Sweep StrategyStrategy Overview: Institutional Liquidity Sweep & Trend Convergence
This strategy is a high-conviction systematic trading framework designed to exploit "stop-runs" and liquidity grabs within a dominant market trend. It combines institutional price action concepts with mathematical filters to ensure entries occur only when trend direction, volatility, and liquidity align.
1. The Trend Framework (EMA 200 Filter)
The foundation of the strategy is the 200-period Exponential Moving Average (EMA). This acts as a "Directional North Star."
Long Bias: Trades are only considered when price is above the EMA 200.
Short Bias: Trades are only considered when price is below the EMA 200.
Buffer Logic: An optional percentage buffer can be applied to avoid "choppy" entries when price is hugging the moving average.
2. The Entry Trigger (Liquidity Sweeps)
The strategy identifies Institutional Liquidity Pools using Swing Highs and Swing Lows (Pivots).
The Sweep: The system waits for price to pierce below a recent structural low (Bullish Sweep) or above a recent structural high (Bearish Sweep).
The Trap: It then monitors for a "reclaim" where price quickly rejects the level. This suggests that the breach was not a breakout, but a hunt for stop-losses to fuel a move in the opposite direction.
3. Secondary Confirmation Filters
To maximize the win rate, the strategy requires a Secondary Filter to confirm market health (User selectable):
V olatility Oscillator: Ensures the market is in an Expansion Phase. It requires the oscillator to be rising, indicating that momentum is behind the reversal.
Smart Trendlines (Structure): Uses Linear Regression Slope to ensure the immediate micro-structure is aligned with the macro-trend.
4. Entry Confirmation (The Reversal Candle)
A trade is not triggered simply because a level was swept. The strategy requires a Reversal Confirmation:
Price Location: The candle must close in the upper 40% (for longs) or lower 40% (for shorts) of its total range.
Directional Body: The candle must close bullish for longs and bearish for shorts, confirming that buyers or sellers have seized control of the bar.
5. Risk Management (Fixed 1:2 RR)
The strategy prioritizes capital preservation through an ATR-based (Average True Range) risk model:
Static Exits: Upon entry, the Stop Loss and Take Profit levels are calculated and locked. They do not move, ensuring a mathematically pure 1:2 Reward-to-Risk ratio.
Volatility Adjusted: The distance of the stop loss is determined by the ATR, meaning the strategy automatically widens stops during high volatility and tightens them during calm periods.
AVSL - XAUUSD M1 OptimizedCredit to Rafka.
This script is optimized for XAUUSDT.P 1-minute trading based on AVSL Indicator from Rafka.
Bar Count & EMA & PatternsA clean and practical charting tool designed for intraday traders, inspired by Al Brooks' Price Action methodology.
Key Features:
📊 Bar Count
Displays only during RTH (08:30-15:00)
Supports 3-minute and 5-minute charts
Shows bar 1 and multiples of 3 (3, 6, 9, 12...)
Key levels highlighted: 18, 48, 81 (red), multiples of 12 (sky blue), bar 6 (light green)
Optimized for China Securities Index Futures — 3-minute chart displays all 81 bars within RTH
📈 EMA
Default 20-period EMA
Customizable length, source, and color
🔍 Pattern Recognition
Auto-detects Inside Bar (i) and Outside Bar (o)
Supports complex patterns: II, OO, IOI, OIO
Consecutive patterns extend automatically (e.g., iii, ooo)
Design Philosophy: Inspired by Al Brooks' Price Action concepts, this indicator reduces chart noise and displays only essential information to support clearer trading decisions.
Prime Minute Marker (Selected)Prime Minute Marker – Description
This script marks specific prime-numbered minutes directly on the chart using clean, plain text (no boxes or shapes).
It is designed for time-based market observation, helping traders spot recurring reactions, swings, and behavioral patterns that tend to appear at specific minutes within the hour.
The marker:
Displays only selected prime minutes
Uses simple text labels for a clutter-free chart
Does not interfere with price action
Works on any intraday timeframe
Is especially useful for swing points, liquidity reactions, and auction-based analysis
This tool is meant for observation and confluence, not as a standalone trading signal.
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
Reliable 4H EST Candle Marker (All Timeframes)plots out 4 hour candle if you trying to mark out 2am, 6am, 10am etc
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.
─────────────────────────────────────────────────────────────
kalp 2trPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend")
multiplierPrimary = input.float(4.0, 'Primary ST Multiplier', group="SuperTrend")
atrPeriodSecondary = input.int(9, 'Secondary ST ATR Period', group="SuperTrend")
multiplierSecondary = input.float(2.0, 'Secondary ST Multiplier', group="SuperTrend")
atrPeriodTertiary = input.int(12, 'Tertiary ST ATR Period', group="SuperTrend")
multiplierTertiary = input.float(3.0, 'Tertiary ST Multiplier', group="SuperTrend")
// MACD Group
fastLength = input.int(24, 'MACD Fast Length', group="MACD")
slowLength = input.int(52, 'MACD Slow Length', group="MACD")
signalLength = input.int(9, 'MACD Signal Smoothing', group="MACD")
// EMA Group
tfEMA = input.timeframe("60", "EMA Timeframe (Global)", group="EMAs")
ema1Len = input.int(9, 'EMA 1 Length', group="EMAs")
ema2Len = input.int(21, 'EMA 2 Length', group="EMAs")
ema3Len = input.int(27, 'EMA 3 Length', group="EMAs")
ema4Len = input.int(50, 'EMA 4 Length', group="EMAs")
ema5Len = input.int(100, 'EMA 5 Length', group="EMAs")
ema6Len = input.int(150, 'EMA 6 Length', group="EMAs")
ema7Len = input.int(200, 'EMA 7 Length', group="EMAs")
// Visuals & ORB Group
showVwap = input.bool(true, 'Show VWAP?', group="Visuals")
showORB = input.bool(true, "Show ORB (Current Day Only)", group="ORB Settings")
orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings")
orbTargetMult1 = input.float(1.0, "Target 1 Mult", group="ORB Settings")
Directional Movement Index - DMI🎯 Overview
This is a versatile Directional Movement Index (DMI) indicator that provides multiple visualization modes for analyzing trend strength and direction. Unlike traditional DMI displays, this version offers three different viewing options and focuses on DI crossover signals for clear trend identification.
🧩 Core Components
1. ⚙️ Technical Foundation
📊 Primary Calculation: Uses TradingView's built-in ta.dmi() function
📈 Three Core Components:
+DI (Positive Directional Indicator): Measures upward movement strength
-DI (Negative Directional Indicator): Measures downward movement strength
ADX (Average Directional Index): Measures overall trend strength
⚡ Dynamic Average: Creates a composite line (+DI minus -DI) for simplified analysis
2. 🎛️ Configuration Parameters
📏 DMI Length: Default 8 periods (standard setting)
🔄 ADX Smoothing: Additional smoothing for ADX line
🎨 Color Themes: 5 visual schemes consistent with your indicator suite
👁️ Display Toggles:
Average DMI: Shows composite line (+DI minus -DI)
DMI: Shows individual +DI and -DI lines
ADX Smoothing: Shows ADX trend strength line
📈 Signal Interpretation:
🟢 BULLISH: +DI > -DI (upward momentum stronger)
🔴 BEARISH: -DI > +DI (downward momentum stronger)
🎨 Visual Elements:
🚨 Signal Highlights: Background coloring on DI crossovers
📋 Line Labels: On-chart labels for each indicator component
📊 Table Display: Top-right bullish/bearish status indicator
📋 Dashboard Display:
Content: "⬆️ Bullish" or "⬇️ Bearish" based on DI relationship
⚡ Trading Applications
📈 Primary Uses:
🎯 Trend Direction Identification
+DI > -DI = Uptrend
-DI > +DI = Downtrend
💪 Trend Strength Assessment
ADX > 25 = Valid trend (tradable)
ADX < 25 = Weak trend (avoid trading)
ADX rising = Strengthening trend
🚨 Crossover Signals
Bull Crossover: +DI crosses above -DI
Bear Crossover: -DI crosses above +DI
🎨 Customization Options
👁️ Display Flexibility:
📊 Mode 1: Simplified (Average DMI only)
📈 Mode 2: Detailed (+DI and -DI lines)
💪 Mode 3: Strength-focused (ADX line)
🔄 Any Combination: Mix and match as needed
🎨 Visual Themes: (Consistent suite)
🎨 Classic: Green/Red (traditional directional 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 +DI crosses above -DI
🔴 SHORT Alert: Triggers when -DI crosses above +DI
📧 Format: Includes ticker symbol for tracking
⚡ Key Advantages
✅ Strengths:
🎯 Multiple Perspectives: Three display modes in one indicator
📊 Clear Trend Signals: DI crossovers provide unambiguous entries/exits
💪 Strength Filter: ADX helps avoid trading in weak trends
👁️ Visual Clarity: Color-coded and labeled for easy interpretation
🔄 Flexible Usage: Can be simple or detailed based on trader preference
📊 Optimal Settings:
⚡ Short-term Trading: 8-14 period length
📊 Medium-term Trading: 14-20 period length
📈 Long-term Trading: 20-50 period length
🎯 ADX Smoothing: Higher values for smoother trend strength
🏆 Unique Features:
Mode Selector: Choose your preferred view (simple → detailed)
Composite Average: (+DI - -DI) creates single directional line
Strength Integration: Built-in ADX for trend validation
Visual Harmony: Consistent design with your indicator family
Professional Labels: On-chart annotations for clarity
This DMI indicator provides professional-grade trend analysis with user-friendly flexibility, allowing traders from beginners to experts to customize their view according to their trading style and experience level! 📊🎯
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! 📊⚡
Custom 3-Bar Counter (GMT Reset)Bar counter, adjustable to suit market hours. Text colour and size changeable
EMA 9 & 26 Crossover by SN TraderEMA 9 & 26 Crossover by SN Trader – Clean Trend Signal Indicator |
The EMA 9 & 26 Cross (+ Marker) indicator is a lightweight and effective trend-direction and momentum-shift tool that visually marks EMA crossover events using simple “+” symbols placed directly above or below price candles.
This indicator is ideal for scalping, intraday trading, and swing trading across Forex, Crypto, Stocks, Indices, and Commodities.
🔹 Indicator Logic
EMA 9 (Green) → Fast momentum
EMA 26 (Red) → Trend direction
🟢 Green “+” (Below Candle)
Appears when EMA 9 crosses ABOVE EMA 26
Indicates bullish momentum or trend continuation
🔴 Red “+” (Above Candle)
Appears when EMA 26 crosses ABOVE EMA 9
Indicates bearish momentum or potential trend reversal
📈 How to Use
✔ Look for Green “+” for bullish bias
✔ Look for Red “+” for bearish bias
✔ Trade in the direction of higher-timeframe trend
✔ Combine with RSI, UT Bot, VWAP, MACD, Support & Resistance for confirmation
✅ Best For
Trend identification
Momentum confirmation
Scalping & intraday entries
Swing trade timing
Multi-timeframe analysis
⚙️ Features
✔ Clean & minimal design
✔ Non-repainting crossover signals
✔ Works on all timeframes & markets
✔ Pine Script v6 compliant
✔ Beginner & professional friendly
⚠️ Disclaimer
This indicator is for educational purposes only and does not provide financial advice. Always use risk management and additional confirmation before trading.
bezgincan_BPA Integrated Market Analyzer (V6) -
Why?
This is an advanced oscillator powered by the v6 engine that combines the four main pillars of technical analysis —Volume, Trend, Volatility , and Momentum —into a single mathematical model. It eliminates chart clutter, allowing you to monitor market strength, speed, and saturation from a single panel.
Fourfold Analysis Logic:
Trend: Calculates the main direction and slope of the price using linear regression slope.
Momentum: Measures the strength of price movement using RSI-based normalized momentum data.
Volatility: Compares current volatility to historical averages via the ATR ratio.
Volume: By relating volume increases to momentum, it confirms the reality of the motion.
How to Use?
The display operates on a fixed, normalized scale between -100 and +100 :
Zero Line Intersections: When the BPA line crosses above 0 (Green Area) , it indicates increased buying pressure, and when it crosses below 0 (Red Area), it indicates increased selling pressure.
Extremes (Yellow Background): When the indicator rises above +70 or falls below -70 , it means the market is "overheated". These zones signal that the trend is exhausted and a correction (or profit-taking) may be imminent.
Signal Labels: The triangles on the chart represent zero-line intersections (trend reversal confirmation).
Why this indicator?
Normalized Scale: Unlike classic indicators, it always stays within the -100/+100 range, providing visual consistency.
Filtered Data: It doesn't just look at price; it incorporates volume and volatility to help filter out "fake" patterns.
Pine Script v6: Performs fast and optimized calculations with the latest Pine Script engine.
Relevant Levels RitradeOverview This indicator plots key price levels (Daily, Weekly, Monthly) with a unique "Smart Overlap" system. It is designed to keep charts clean by offsetting lines to the right of the price action and preventing labels from covering each other when price levels are identical.
Key Features
Smart Overlap Prevention: If two levels (e.g., Previous Day High and Weekly High) are at the exact same price, the script automatically shifts the second line to the right so both are visible side-by-side.
Origin Trace Lines: Faint, dotted grey lines connect the floating labels back to the specific candle where that High, Low, or Open actually occurred. This helps visualize exactly when the level was created.
Future Offset: Lines are drawn into the future (offset from the current bar) to avoid cluttering your analysis on current candles.
Exact Timing: The trace lines use precise time coordinates to find the exact swing high/low candle.
Included Levels (Toggleable)
PDH / PDL: Previous Day High & Low
PWH / PWL: Previous Week High & Low
DO / WO / MO: Daily, Weekly, and Monthly Opens
Settings You can customize the line colors, the offset distance (how far right the lines sit), the length of the lines, and the gap between overlapping lines.
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! 📊🎯
Lele-Trend Market AnalysisThis is a TradingView Pine Script indicator for analyzing futures trading trends. Here's what it does:
Core Functionality:
Analyzes market trends using multiple technical indicators on a customizable timeframe
Displays trend strength classifications from "Neutral" to "Super Bullish/Bearish"
Key Indicators Used:
EMAs: 7, 21, 50, and 200-period exponential moving averages to identify trend direction
RSI: Relative Strength Index (14-period default) for momentum
ADX: Average Directional Index (14-period) to measure trend strength
VWAP: Volume Weighted Average Price for intraday levels
Parabolic SAR: For trend reversals and stop-loss placement
Trend Classification Logic:
Bullish: When 7 EMA > 21 EMA, price > VWAP, RSI > 50, ADX > 22
Bearish: When 7 EMA < 21 EMA, price < VWAP, RSI < 50, ADX > 22
Upgrades to "Very" or "Super" based on price position relative to 50 and 200 EMAs
Visual Features:
Plots all indicators on the chart with color-coded lines
Shows percentage and price difference labels on each candle
Dashboard table in the top-right displaying all indicator values and current trend status
It's essentially a comprehensive trend-following system that combines multiple timeframe analysis with strength classification.
Triple ST + MACD + 7x MTF EMA + VWAP + ORB + Lux Pivots + AMA//@version=6
indicator('Triple ST + MACD + 7x MTF EMA + VWAP + ORB + Lux Pivots + AMA', overlay = true, max_labels_count = 500)
//━━━━━━━━━━━━━━━━━━━
// INPUTS
//━━━━━━━━━━━━━━━━━━━
// AMA Signals Group (Zeiierman Style)
showAMA = input.bool(true, "Show AMA Signals", group="AMA Signals")
amaLength = input.int(10, "AMA Length", group="AMA Signals")
amaFast = input.int(2, "AMA Fast Period", group="AMA Signals")
amaSlow = input.int(30, "AMA Slow Period", group="AMA Signals")
// SuperTrend Group
atrPeriodPrimary = input.int(18, 'Primary ST ATR Period', group="SuperTrend")
multiplierPrimary = input.float(4.0, 'Primary ST Multiplier', group="SuperTrend")
// MACD Group
fastLength = input.int(24, 'MACD Fast Length', group="MACD")
slowLength = input.int(52, 'MACD Slow Length', group="MACD")
signalLength = input.int(9, 'MACD Signal Smoothing', group="MACD")
// EMA Group
tfEMA = input.timeframe("60", "EMA Timeframe (Global)", group="EMAs")
ema1Len = input.int(9, 'EMA 1 Length', group="EMAs"), ema2Len = input.int(21, 'EMA 2 Length', group="EMAs")
ema3Len = input.int(27, 'EMA 3 Length', group="EMAs"), ema4Len = input.int(50, 'EMA 4 Length', group="EMAs")
ema5Len = input.int(100, 'EMA 5 Length', group="EMAs"), ema6Len = input.int(150, 'EMA 6 Length', group="EMAs")
ema7Len = input.int(200, 'EMA 7 Length', group="EMAs")
// LuxAlgo Style Pivots (50 Lookback)
showPivots = input.bool(true, "Show Pivot High/Low", group="LuxAlgo Pivots")
pivotLen = input.int(50, "Pivot Lookback", group="LuxAlgo Pivots")
showMissed = input.bool(true, "Show Missed Reversal Levels", group="LuxAlgo Pivots")
// Previous OHLC Group
showPrevOHLC = input.bool(true, "Show Previous Day OHLC?", group="Previous OHLC")
// Visuals & ORB Group
showVwap = input.bool(true, 'Show VWAP?', group="Visuals")
showORB = input.bool(true, "Show ORB", group="ORB Settings")
orbTime = input.string("0930-1000", "ORB Time Range", group="ORB Settings")
//━━━━━━━━━━━━━━━━━━━
// CALCULATIONS
//━━━━━━━━━━━━━━━━━━━
// 1. AMA Calculation (Zeiierman Logic)
fastAlpha = 2.0 / (amaFast + 1)
slowAlpha = 2.0 / (amaSlow + 1)
efficiencyRatio = math.sum(math.abs(close - close ), amaLength) != 0 ? math.abs(close - close ) / math.sum(math.abs(close - close ), amaLength) : 0
scaledAlpha = math.pow(efficiencyRatio * (fastAlpha - slowAlpha) + slowAlpha, 2)
var float amaValue = na
amaValue := na(amaValue ) ? close : amaValue + scaledAlpha * (close - amaValue )
// 2. Pivot Points & Missed Reversals (RECTIFIED: Bool Fix)
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float lastMissedHigh = na
var float lastMissedLow = na
if not na(ph)
lastMissedHigh := ph
if not na(pl)
lastMissedLow := pl
// 3. Custom SuperTrend Function (RECTIFIED: Parenthesis Fix)
f_supertrend(_atrLen, _mult) =>
atr_ = ta.atr(_atrLen)
upperBasic = hl2 + _mult * atr_
lowerBasic = hl2 - _mult * atr_
var float upperFinal = na
var float lowerFinal = na
upperFinal := na(upperFinal ) ? upperBasic : (upperBasic < upperFinal or close > upperFinal ? upperBasic : upperFinal )
lowerFinal := na(lowerFinal ) ? lowerBasic : (lowerBasic > lowerFinal or close < lowerFinal ? lowerBasic : lowerFinal )
var int dir = 1
if not barstate.isfirst
dir := dir
if dir == 1 and close < lowerFinal
dir := -1
else if dir == -1 and close > upperFinal
dir := 1
= f_supertrend(atrPeriodPrimary, multiplierPrimary)
// 4. MACD & 7 MTF EMAs
macdLine = ta.ema(close, fastLength) - ta.ema(close, slowLength)
signal = ta.ema(macdLine, signalLength)
ema1 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema1Len), gaps = barmerge.gaps_on)
ema2 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema2Len), gaps = barmerge.gaps_on)
ema3 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema3Len), gaps = barmerge.gaps_on)
ema4 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema4Len), gaps = barmerge.gaps_on)
ema5 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema5Len), gaps = barmerge.gaps_on)
ema6 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema6Len), gaps = barmerge.gaps_on)
ema7 = request.security(syminfo.tickerid, tfEMA, ta.ema(close, ema7Len), gaps = barmerge.gaps_on)
// 5. ORB Logic
is_new_day = ta.change(time("D")) != 0
in_orb = not na(time(timeframe.period, orbTime))
var float orbHigh = na, var float orbLow = na
if is_new_day
orbHigh := na, orbLow := na
if in_orb
orbHigh := na(orbHigh) ? high : math.max(high, orbHigh)
orbLow := na(orbLow) ? low : math.min(low, orbLow)
//━━━━━━━━━━━━━━━━━━━
// PLOTTING
//━━━━━━━━━━━━━━━━━━━
// AMA Plots
plot(showAMA ? amaValue : na, "AMA Line", color=amaValue > amaValue ? color.lime : color.red, linewidth=2)
plotshape(showAMA and ta.crossover(amaValue, amaValue ), "AMA BUY", shape.labelup, location.belowbar, color.lime, 0, "BUY", color.black, size=size.small)
plotshape(showAMA and ta.crossunder(amaValue, amaValue ), "AMA SELL", shape.labeldown, location.abovebar, color.red, 0, "SELL", color.white, size=size.small)
// Pivots
plotshape(showPivots ? ph : na, "PH", shape.labeldown, location.abovebar, color.red, -pivotLen, "PH", color.white)
plotshape(showPivots ? pl : na, "PL", shape.labelup, location.belowbar, color.green, -pivotLen, "PL", color.white)
// Missed Reversal Lines
var line hLine = na, var line lLine = na
if showMissed and barstate.islast
line.delete(hLine), line.delete(lLine)
hLine := line.new(bar_index - pivotLen, lastMissedHigh, bar_index + 10, lastMissedHigh, color=color.new(color.red, 50), style=line.style_dashed)
lLine := line.new(bar_index - pivotLen, lastMissedLow, bar_index + 10, lastMissedLow, color=color.new(color.green, 50), style=line.style_dashed)
// Previous Day OHLC
= request.security(syminfo.tickerid, "D", [high , low ], lookahead=barmerge.lookahead_on)
plot(showPrevOHLC ? pdH : na, "PDH", color.gray, style=plot.style_stepline)
plot(showPrevOHLC ? pdL : na, "PDL", color.gray, style=plot.style_stepline)
// 7 EMAs & VWAP
plot(ema1, "E1", color.new(color.white, 50)), plot(ema7, "E7", color.new(color.gray, 50))
plot(showVwap ? ta.vwap : na, "VWAP", color.orange, 2)
plot(stPrimary, 'Primary ST', dirPrimary == 1 ? color.green : color.red, 2)
// MACD (RECTIFIED: Named arguments)
plotshape(ta.crossover(macdLine, signal), title="MACD+", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small)
plotshape(ta.crossunder(macdLine, signal), title="MACD-", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small)
// Global Trend Background
bgcolor(dirPrimary == 1 ? color.new(color.green, 97) : color.new(color.red, 97))
Drawdown MDD desde ATH (close)Drawdown indicator from ATH wtih maximum drawdown.
Indicates the current percentage of both
Session Time Lines (NY Time)This clean indicator draws vertical dashed lines on the chart at key session times in New York time:
7:00 PM – Previous day session start
3:00 AM – Overnight session
9:30 AM – NY market open
It automatically removes the previous session’s lines when a new 7:00 PM occurs, keeping the chart clean. Lines are drawn directly on the price chart (overlay), making it easy to see market session transitions.
Works on intraday charts
Time-based vertical lines in New York time (DST-safe)
Shows only one cycle at a time for clarity
Non-intrusive, no calculations or trading signals
Rolling VWAP + Bands (Tighter Option) + 2.35/3.0 Re-entry AlertsRolling VWAP + σ Bands — How to Trade It
This indicator plots a Rolling VWAP (a volume-weighted mean over a fixed bar window) along with standard deviation (σ) bands around that VWAP. The goal is simple:
Quantify “normal” price distance from value (VWAP)
Highlight statistical extremes and pullback zones
Trigger re-entry signals when price returns from extreme deviation back inside key bands (±2.35σ and ±3σ)
It’s designed for scalping and short-term decision support, especially on lower timeframes.
What the Lines Mean
VWAP (Rolling Window)
The VWAP line represents the rolling “fair value” of price, weighted by volume across the lookback window.
In ranges: VWAP acts like a gravity center
In trends: VWAP acts like a dynamic mean that price may pull back toward before continuing
σ Bands (Standard Deviation)
The σ bands show how far price is from VWAP in statistical terms:
±1σ: Normal variation
±1.5σ: Common pullback / continuation zone in trends
±2σ: Extended move / trend stress
±2.35σ: Deep extension (often a “stretched” market)
±3σ: Rare extreme (often emotional moves / liquidation wicks)
The Most Important Feature: 2.35σ and 3σ Re-entry Signals
A Re-entry signal fires when price was outside a band on the previous bar and closes back inside that band on the current bar.
Why this matters:
The market pushed into an extreme zone…
…then failed to stay there
That “failure” often leads to a snap-back toward value (VWAP) or at least toward inner bands.
In general, a 3σ re-entry is stronger than a 2.35σ re-entry, because it represents a more statistically extreme excursion that couldn’t hold.
These are not “magic reversal calls” — they’re high-quality mean-reversion triggers when conditions favor mean reversion.
Regime 1: Contracting Bands = Mean Reversion Environment
What contracting bands imply
When the bands tighten / contract, volatility is compressed. In this environment:
Price tends to oscillate around VWAP
Deviations are more likely to mean revert
Extremes are clearer and usually followed by a return toward value
How to trade mean reversion with this indicator
Core idea: fade extremes and target VWAP / inner bands.
A) Highest quality setups: 2.35σ and 3σ re-entries
These are your “strongest” mean reversion events.
Short bias setup
Price closes outside +2.35σ or +3σ
Then re-enters back below that band (signal)
Typical targets: +2σ → +1.5σ → VWAP (depending on momentum)
Long bias setup
Price closes outside −2.35σ or −3σ
Then re-enters back above that band (signal)
Typical targets: −2σ → −1.5σ → VWAP
Why these work best in contraction:
The market is statistically “stretched”
With low volatility, it’s harder for price to stay extended
Re-entry often starts the “snap-back” leg
B) Scaling / partial targets (optional approach)
If you manage positions actively:
Take partial profits at inner bands
Use VWAP as the “magnet” target when conditions remain range-bound
Risk framing for mean reversion
Mean reversion fails when price keeps walking the band and volatility expands.
Common failure clues:
Bands begin to widen aggressively
Price repeatedly holds outside outer bands
VWAP slope starts to accelerate in one direction
If that starts happening, the market is likely shifting to a trend regime.
Regime 2: Expanding Bands + VWAP Slope = Trending Environment
What trending conditions look like
Trends typically show:
VWAP sloping consistently
Bands expanding (higher volatility)
Price spending more time on one side of VWAP
Pullbacks that stall near inner/mid bands instead of reverting fully
In this environment, fading outer bands becomes lower probability because price can “ride” deviations during strong directional flow.
How to trade continuation with this indicator
Core idea: use VWAP and inner bands as pullback zones, then trade in the direction of the VWAP slope.
A) Trend continuation zones (most practical)
VWAP: first pullback level in mild trends
±1σ: shallow pullback continuation
±1.5σ: higher-quality pullback depth in stronger trends
±2σ: deep pullback / trend stress (more caution)
Example (uptrend):
VWAP rising
Price pulls down into VWAP / +1σ / +1.5σ area
Continuation entries are considered when price stabilizes and pushes back with the trend
Example (downtrend):
VWAP falling
Price pulls up into VWAP / −1σ / −1.5σ area
Continuation entries are considered when price rejects and rotates back down
What to do with 2.35σ / 3σ re-entry signals in trends
Re-entry signals can still occur in trends, but they should be interpreted differently:
In strong trends, an outer-band re-entry may only produce a brief bounce/rotation, not a full mean reversion to VWAP.
Targets may be more realistic at inner bands rather than expecting VWAP every time.
In other words:
Range: outer-band re-entries often aim toward VWAP.
Trend: outer-band re-entries often aim toward 2σ / 1.5σ / 1σ first.
Practical Regime Filter (simple visual read)
This script intentionally doesn’t hard-code a “trend/range detector,” but you can visually infer regime quickly:
Mean reversion bias
Bands contracting or stable
VWAP mostly flat
Price crossing VWAP frequently
Trend continuation bias
Bands expanding
VWAP clearly sloped
Price holding mostly on one side of VWAP
Notes on σ Calculation Options
This indicator includes σ mode toggles:
Unweighted σ (tighter): treats price deviations more “purely” and often gives bands that react more tightly to price behavior.
Volume-weighted σ: emphasizes high-volume price action in the deviation calculation.
Both are valid — test based on your market and timeframe.
Summary Cheat Sheet
Contracting bands (range / compression)
Favor: mean reversion
Best signals: 2.35σ and 3σ re-entry
Typical targets: inner bands → VWAP
Expanding bands + sloped VWAP (trend)
Favor: continuation
Use pullbacks to: VWAP / 1σ / 1.5σ as entry zones
Outer-band re-entries: treat as rotation opportunities, not guaranteed full reversals
KI Power signaleManus Machiene Learning Beast – Indicator Description
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
⸻
Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
⸻
Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
⸻
Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
⸻
Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
⸻
Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
