Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker
Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights.
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WHAT MAKES THIS INDICATOR SPECIAL?
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Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart:
Exponential Gradient Technology
This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength.
Dynamic Momentum Intelligence
Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states:
- 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly)
- 🔵 Blue = Weakening bullish (structure intact, but momentum fading)
- 🟠 Orange = Caution zone (bearish structure forming, weak momentum)
- 🔴 Deep Red = Strong bearish momentum (both MAs falling)
The cloud literally tells you when trends are accelerating or losing steam.
Conditional Performance Architecture
Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system.
Zero Repaint Guarantee
All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment.
Educational by Design
Every single input includes comprehensive tooltips with:
- Clear explanations of what each parameter does
- Practical examples of when to use different settings
- Recommended configurations for scalping, day trading, and swing trading
- Real-world trading impact ("This affects entry timing" vs "This is visual only")
You're not just getting an indicator—you're learning how to use it effectively .
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THE GRADIENT CLOUD - TECHNICAL DETAILS
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Architecture:
26 precision layers for silk-smooth transitions
Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges
75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%)
V-Gradient design - emphasizes the action zone between Fast and Medium MAs
The Four Momentum States:
🟢 GREEN - Strong Bullish
Fast MA above Medium MA
Both MAs rising with momentum > 0.02%
Action: Enter/hold LONG positions, strong uptrend confirmed
🔵 BLUE - Weak Bullish
Fast MA above Medium MA
Weak or flat momentum
Action: Caution - bullish structure but losing strength, consider trailing stops
🟠 ORANGE - Weak Bearish
Medium MA above Fast MA
Weak or flat momentum
Action: Warning - bearish structure developing, consider exits
🔴 RED - Strong Bearish
Medium MA above Fast MA
Both MAs falling with momentum < -0.02%
Action: Enter/hold SHORT positions, strong downtrend confirmed
Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation.
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FLEXIBLE MOVING AVERAGE SYSTEM
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Three Customizable MAs:
Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum
Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference
Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance
Six MA Types Available:
EMA - Exponential; faster response, ideal for momentum and day trading
SMA - Simple; smooth and stable, best for swing trading and trend following
WMA - Weighted; middle ground between EMA and SMA
VWMA - Volume-weighted; reflects market participation, useful for liquid markets
RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters
HMA - Hull; extremely responsive with minimal lag, aggressive option
Recommended Settings by Trading Style:
Scalping (1m-5m):
Fast: EMA(5-8)
Medium: EMA(10-15)
Slow: Not needed or EMA(50)
Day Trading (5m-1h):
Fast: EMA(10-12)
Medium: EMA(20-21)
Slow: SMA(200) for bias
Swing Trading (4h-1D):
Fast: EMA(10-20)
Medium: EMA(34-50)
Slow: SMA(200)
Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs.
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CROSSOVER SIGNALS - CLEAN & RELIABLE
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Golden Cross ⬆ LONG Signal
Fast MA crosses above Medium MA
Classic bullish reversal or trend continuation signal
Most reliable when accompanied by GREEN cloud (strong momentum)
Death Cross ⬇ SHORT Signal
Fast MA crosses below Medium MA
Classic bearish reversal or trend continuation signal
Most reliable when accompanied by RED cloud (strong momentum)
Signal Intelligence:
Anti-spam filter - Minimum 5 bars between signals prevents noise
Clean labels - Placed precisely at crossover points
Alert-ready - Built-in ALERTS for automated trading systems
No repainting - Signals based on confirmed bars only
Signal Quality Assessment:
High-Quality Entry:
Golden Cross + GREEN cloud + Price above both MAs
= Strong bullish setup ✓
Low-Quality Entry (skip or wait):
Golden Cross + ORANGE cloud + Choppy price action
= Weak bullish setup, likely whipsaw ✗
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REAL-TIME INFO PANEL
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An at-a-glance dashboard showing:
Trend Strength Indicator:
Visual display of current momentum state
Color-coded header matching cloud color
Instant recognition of market bias
MA Distance Table:
Shows percentage distance of price from each enabled MA:
Green rows : Price ABOVE MA (bullish)
Red rows : Price BELOW MA (bearish)
Gray rows : Price AT MA (rare, decision point)
Distance Interpretation:
+2% to +5%: Healthy uptrend
+5% to +10%: Getting extended, caution
+10%+: Overextended, expect pullback
-2% to -5%: Testing support
-5% to -10%: Oversold zone
-10%+: Deep correction or downtrend
Customization:
4 corner positions
5 font sizes (Tiny to Huge)
Toggle visibility on/off
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HOW TO USE - PRACTICAL TRADING GUIDE
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STRATEGY 1: Trend Following
Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud
Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT
Hold position : While cloud maintains color
Exit signals :
• Cloud turns ORANGE/BLUE = momentum weakening, tighten stops
• Opposite crossover = close position
• Cloud turns opposite color = full reversal
STRATEGY 2: Pullback Entries
Confirm trend : GREEN cloud established (bullish bias)
Wait for pullback : Price touches or crosses below Fast MA
Enter when : Price rebounds back above Fast MA with cloud still GREEN
Stop loss : Below Medium MA or recent swing low
Target : Previous high or when cloud weakens
STRATEGY 3: Momentum Confirmation
Your setup triggers : (e.g., chart pattern, support/resistance)
Check cloud color :
• GREEN = proceed with LONG
• RED = proceed with SHORT
• BLUE/ORANGE = skip or reduce size
Use gradient as confluence : Not as primary signal, but as momentum filter
Risk Management Tips:
Never enter against the cloud color (don't LONG in RED cloud)
Reduce position size during BLUE/ORANGE (transition periods)
Place stops beyond Medium MA for swing trades
Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends
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PERFORMANCE & OPTIMIZATION
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Tested On:
Crypto: BTC, ETH, major altcoins
Stocks: SPY, AAPL, TSLA, QQQ
Forex: EUR/USD, GBP/USD, USD/JPY
Indices: S&P 500, NASDAQ, DJI
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TRANSPARENCY & RELIABILITY
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Educational Focus:
Detailed tooltips on every input
Clear documentation of methodology
Practical examples in descriptions
Teaches you why , not just what
Open Logic:
Momentum calculation: (Fast slope + Medium slope) / 2
Smoothing: 8-bar EMA to reduce noise
Thresholds: ±0.02% for strong momentum classification
Everything is transparent and explainable
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COMPLETE FEATURE LIST
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Visual Components:
26-layer exponential gradient cloud
3 customizable moving average lines
Golden Cross / Death Cross labels
Real-time info panel with trend strength
MA distance table
Calculation Features:
6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA)
Momentum-based cloud coloring
Smoothed trend strength scoring
Conditional performance optimization
Customization Options:
All MA lengths adjustable
All colors customizable (when gradient disabled)
Panel position (4 corners)
Font sizes (5 options)
Toggle any feature on/off
Signal Features:
Anti-spam filter (configurable gap)
Clean, non-overlapping labels
Built-in alert conditions
No repainting guarantee
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IMPORTANT DISCLAIMERS
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This indicator is for educational and informational purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Use proper risk management - never risk more than you can afford to lose
Test on paper/demo accounts before using with real money
Combine with other analysis methods - no single indicator is perfect
Works best in trending markets; less effective in choppy/sideways conditions
Signals may perform differently in different timeframes and market conditions
The indicator uses historical data for MA calculations - allow sufficient lookback period
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CREDITS & TECHNICAL INFO
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Version: 2.0
Release: October 2025
Special Thanks:
TradingView community for feedback and testing
Pine Script documentation for technical reference
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SUPPORT & UPDATES
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Found a bug? Comment below with:
Ticker symbol
Timeframe
Screenshot if possible
Steps to reproduce
Feature requests? I'm always looking to improve! Share your ideas in the comments.
Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments.
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Happy Trading!
Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
Oscylatory
KDJKDJ指标(又称随机指标)通常被归类为振荡指标 (Oscillators) 或 动量指标 (Momentum Indicators)。
Of course. Here is a description of the KDJ indicator in English.
KDJ Indicator (Stochastic Oscillator)
The KDJ indicator is a momentum oscillator used in technical analysis to identify overbought and oversold conditions in a market, as well as to spot potential trend reversals. It's an extension of the classic Stochastic Oscillator and is particularly popular among traders in Asian markets.
The indicator consists of three lines:
* %K Line (The Fast Line): This line measures the current closing price relative to the high-low range over a specified period (typically 9 periods). It shows the immediate momentum of the asset.
\%K = 100 \times \frac{C - L_n}{H_n - L_n}
Where:
* C = Current Closing Price
* L_n = Lowest low over the last 'n' periods
* H_n = Highest high over the last 'n' periods
* %D Line (The Slow Line): This is a simple moving average (SMA) of the %K line (typically a 3-period SMA). It smooths out the fluctuations of the %K line and provides more reliable trading signals.
* J Line: The J line represents the divergence between the %D line and the %K line. It is more sensitive than the other two lines and can provide earlier signals. It is calculated as:
How to Interpret the KDJ Indicator:
* Overbought & Oversold Conditions:
* Overbought: When the KDJ lines rise above 80, it suggests the asset is overbought and the price might be due for a correction downwards. A sell signal is often generated when the lines cross back below 80.
* Oversold: When the KDJ lines fall below 20, it suggests the asset is oversold and the price may be poised for a rebound. A buy signal is often generated when the lines cross back above 20.
* The J line can go above 100 (extreme overbought) or below 0 (extreme oversold), indicating a very strong momentum that might precede a sharp reversal.
* Crossovers (Crosses):
* Golden Cross (Bullish Signal): When the %K line crosses above the %D line, especially in the oversold area (below 20), it is considered a strong buy signal.
* Death Cross (Bearish Signal): When the %K line crosses below the %D line, particularly in the overbought area (above 80), it is considered a strong sell signal.
* Divergence:
* Bullish Divergence: If the asset's price makes a new lower low, but the KDJ indicator makes a higher low, it signals that the downward momentum is weakening and a potential price reversal to the upside is coming.
* Bearish Divergence: If the asset's price makes a new higher high, but the KDJ indicator makes a lower high, it suggests that the upward momentum is fading and a potential price reversal to the downside may occur.
In summary, the KDJ is a versatile momentum indicator that helps traders identify short-term entry and exit points by analyzing an asset's price momentum.
ZS Master Vision Pro - Advanced Multi-Timeframe Trading SystemZS MASTER VISION PRO - PROFESSIONAL TRADING SUITE
Created by Zakaria Safri
A comprehensive, all-in-one trading system combining multiple proven technical analysis methods into a single, powerful indicator. Designed for traders who demand precision, clarity, and actionable signals across all timeframes.
KEY FEATURES
CORE TREND ALGORITHM
Adaptive ATR-based trend detection with dynamic support and resistance zones. Features Type A and Type B signal modes for different trading styles, strong signal detection in key reversal zones, and optional EMA source smoothing for noise reduction.
MULTI-LAYER EMA CLOUD SYSTEM
Five customizable EMA cloud layers for multi-timeframe analysis with theme-adaptive color coding across five professional themes. Optional line display for detailed MA tracking with configurable periods from scalping to position trading.
WAVE TREND OSCILLATOR
Advanced momentum oscillator with channel-based calculations featuring smart reversal detection at extreme overbought and oversold levels. Includes directional strength confirmation and customizable sensitivity with adjustable reaction periods.
DIVERGENCE SCANNER
Detects four types of divergence automatically:
- Regular Bullish: Price making lower lows while oscillator making higher lows
- Regular Bearish: Price making higher highs while oscillator making lower highs
- Hidden Bullish: Trend continuation signals in uptrends
- Hidden Bearish: Trend continuation signals in downtrends
Automatic fractal-based detection with clear visual labels on chart.
MARKET BIAS INDICATOR
Heikin Ashi-based trend strength analysis with real-time bias calculation showing Bullish or Bearish combined with Strong or Weak conditions. Smoothed for cleaner signals and perfect for trend confirmation.
MOMENTUM SYSTEM
Proprietary momentum calculation using adaptive smoothing with growing and falling state detection. Normalized values for consistent interpretation and responsive to rapid market changes.
DYNAMIC SUPPORT AND RESISTANCE
Automatic pivot-based support and resistance level detection with adjustable left and right bar lookback. Non-repainting levels with visual clarity through color-coded lines.
LIVE INFORMATION DASHBOARD
Real-time market analysis panel displaying current trend direction, market bias based on Heikin Ashi, Wave Trend status and value, and momentum trend with state. Customizable display options with theme-adaptive colors.
VISUAL CUSTOMIZATION
FIVE PROFESSIONAL COLOR THEMES:
Pro - Modern green and red color scheme (default)
Classic - Traditional teal and red combination
Cyberpunk - Neon cyan and magenta contrast
Ocean - Blue and orange contrast
Sunset - Gold and red warmth
SIGNAL STYLES:
Labels with emoji indicators (BUY with rocket, SELL with bear, STRONG with lightning)
Arrows for clean minimal appearance
Triangles for classic approach
DISPLAY OPTIONS:
Color-coded candles following trend direction
Trend background highlighting for instant trend recognition
Optional EMA line display for detailed analysis
Adjustable transparency levels for personal preference
SMART ALERTS
Pre-configured alert conditions for all major signals:
Buy signals for standard entry opportunities
Sell signals for standard exit or short opportunities
Strong buy signals for high-confidence long entries
Strong sell signals for high-confidence short entries
Bullish divergence detection alerts
Bearish divergence detection alerts
Alert messages automatically include ticker symbol, current price, and specific signal type for quick decision making.
HOW TO USE
FOR TREND TRADERS:
Enable EMA Clouds with focus on Cloud 5 featuring 50 and 200 period moving averages. Wait for trend background color change to confirm direction. Enter on STRONG signals aligned with higher timeframe trend direction. Use support and resistance levels for strategic exits.
FOR SWING TRADERS:
Enable Wave Trend Oscillator information display. Look for oversold and overbought reversal setups. Confirm potential reversals with divergence scanner. Enter on smart reversal signals with proper risk management.
FOR SCALPERS:
Use Type B signal mode for more frequent trading signals. Enable Cloud 1 with 5 and 13 periods for quick trend confirmation. Focus on momentum growing and falling states for entry timing. Take quick entries on regular buy and sell signals.
FOR POSITION TRADERS:
Use Type A mode with higher ATR multiplier set to 3.0 or above. Enable only Cloud 5 with 50 and 200 periods for major trend confirmation. Only take STRONG signals for highest probability setups. Hold positions through minor pullbacks and noise.
RECOMMENDED SETTINGS
STOCKS ON DAILY TIMEFRAME:
Trend Period: 180
ATR Period: 155
ATR Multiplier: 2.1
Signal Mode: Type A
FOREX ON HOURLY AND 4-HOUR TIMEFRAMES:
Trend Period: 150
ATR Period: 120
ATR Multiplier: 2.5
Signal Mode: Type A
CRYPTOCURRENCY ON 15-MINUTE AND 1-HOUR TIMEFRAMES:
Trend Period: 100
ATR Period: 80
ATR Multiplier: 3.0
Signal Mode: Type B
SCALPING ON 1-MINUTE AND 5-MINUTE TIMEFRAMES:
Trend Period: 50
ATR Period: 40
ATR Multiplier: 2.0
Signal Mode: Type B
WHAT IS INCLUDED
Trend Analysis using ATR-based adaptive algorithm
Five EMA Cloud Layers for multi-timeframe confluence
Wave Trend Oscillator for momentum and reversal detection
Divergence Scanner detecting four types of divergence
Market Bias using Heikin Ashi-based trend strength
Momentum System with advanced momentum tracking
Support and Resistance Levels with automatic pivot detection
Live Dashboard showing real-time market analysis
Smart Alerts featuring six pre-configured alert types
Five Color Themes offering professional visual options
TECHNICAL DETAILS
CALCULATION METHODS:
Average True Range (ATR) for volatility adaptation
Exponential Moving Average (EMA) and Simple Moving Average (SMA) for trend smoothing
Wave Trend channel oscillator for momentum analysis
Fractal-based divergence detection algorithm
Heikin Ashi transformation for bias calculation
Logarithmic momentum calculation for precision
PERFORMANCE CHARACTERISTICS:
Optimized for maximum speed and efficiency
No repainting signals ensuring reliability
Works on all timeframes from 1 minute to monthly
Compatible with all instruments including stocks, forex, crypto, and futures
RISK DISCLAIMER
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always use proper risk management and never risk more than you can afford to lose. Combine with other analysis methods and practice on demo accounts first. Past performance does not guarantee future results. Trading carries substantial risk and is not suitable for all investors.
SUPPORT AND UPDATES
Regular updates and continuous improvements
Based on proven technical analysis principles
Developed following Pine Coders best practices and standards
Clean, well-documented, and optimized code structure
WHY CHOOSE ZS MASTER VISION PRO
All-in-one solution eliminating the need for multiple indicators
Highly customizable to adapt to your specific trading style
Professional grade analysis with institutional-quality standards
Clean interface that is not cluttered or confusing
Works everywhere across all markets and all timeframes
Smart signals filtered for quality over quantity
Beautiful design featuring five professional color themes
Active development with regular improvements and updates
Transform your trading with ZS Master Vision Pro today.
Version 2.0 | Created by Zakaria Safri | Pine Script Version 5
Bull vs Bear Volume(Simplified)Bull vs Bear Volume
After experimenting with countless volume-based indicators, I sought a simple way to visualize buying and selling pressure with just two lines—an indicator that stays closely coupled with price action.
I went through endless trial and error, building extremely complex volume indicators, only to find that in live trading, errors kept arising and the tools became more hindrance than help. Yet, to enhance the reliability of price indicators, a trustworthy volume measure is indispensable. Even after testing numerous community-shared indicators, I could not find one that met my needs.
This led me to a simple idea: process volume only when Close > Open for buying pressure, and Close < Open for selling pressure, while cleaning out the noise. By reflecting only the volume contributing to price movement, the indicator remains stable and intuitive.
Implementing this concept, I created an indicator that, among countless volume tools, stands out for its clarity and lack of extraneous functions. Users can freely adjust the sum periods of the Bull and Bear lines, choose line styles, and even enjoy the dynamic color changes when the lines cross.
If this indicator can provide even a little assistance in trading, then my purpose is fulfilled.
MILLION MEN - Sheep HunterWhat it is
MILLION MEN – Sheep Hunter is an RSI-based context tool designed to visually highlight extreme sentiment zones. It draws Overbought (herd/FOMO) and Oversold (panic/liquidity) boxes on price, and labels rare events (Whale / Wolf / Sheep / TP10) for easier discretionary analysis. It is not an entry signal generator, but a tool to understand crowd behavior at extremes.
How it works
RSI core: Adjustable length and custom OB/OS thresholds.
Zones:
• Red box = RSI between 80–90 (overbought pocket)
• Green box = RSI ≤ 20 (oversold pocket)
• Box height auto-scales using True Range for clear visibility
• Boxes persist for X bars after exit, keeping context visible
Marks (optional):
• Whale (deep oversold)
• Wolf Entry (oversold threshold)
• Sheep (extreme FOMO)
• TP10 (RSI ≤ 10, potential exit area)
How to use
Use zones and marks as context or confluence, not automatic entries. Oversold areas may hint at exhaustion or liquidity grabs; overbought areas can warn of crowd chasing tops. Combine with structure, HTF bias, volume or price action.
Originality & value
Unlike standard RSI lines, this tool projects extremes directly onto price with persistent, padded zones and minimal marks for clarity. It helps traders see sentiment pockets over time, rather than momentary RSI spikes.
Tested markets
This tool has been primarily tested on major crypto assets (BTC, XRP, ETH, BNB, LTC).
Behavior on other markets may vary and should be validated before use.
Limitations
RSI can stay extreme during strong trends.
Marks are context labels, not buy/sell signals.
Non-standard chart types are not supported.
No future data is used. This is not financial advice.
يعرض مناطق تشبع شرائي/بيعي على السعر مباشرة (صناديق حمراء وخضراء) مع علامات لحالات قصوى مثل Whale / Sheep. الهدف هو فهم سلوك السيولة والجمهور عند التطرف وليس إعطاء إشارات دخول مباشرة. تمت تجربة الأداة على العملات الرئيسية (BTC, XRP, ETH, BNB, LTC) وقد يختلف الأداء في الأسواق الأخرى.
AO3 BETA 3.9.0 (v9p)// 📦 VERSION UPGRADE NOTE
// Indicator:
// Version: BETA 3.9.0 (v9p)
// Previous: BETA 3.4.2 (v6)
//────────────────────────────────────────────
// 🔸 Upgrade Summary:
// • Upgraded to Pine Script v6 (backward compatible).
// • Improved trend filter logic:
// – H1/H4 Uptrend = AO > U1
// – AO ≤ U1 ⇒ not uptrend
// – **NEW:** When AO crosses back above U1 (while AO > 0) ⇒ uptrend resumes.
// – Vice versa for downtrend.
// • Removed Entry Option 1; Option 2 → new Option 1; Option 3 → new Option 2.
// • Optimized internal constants & default values.
// • Added hidden system parameters (RISK_CAP, MIN_BARS, MAX_SPREAD, etc.).
// • Exposed only key inputs (Length, UseFilter, ATR Length) for cleaner UI.
// • Organized inputs into groups with tooltips for usability.
// • Improved performance via var-caching and reduced redundant calculations.
// • Simplified dev structure for modular updates.
//────────────────────────────────────────────
// 🧩 Notes:
// This build focuses on end-user stability and simplified interface.
// Developer-only parameters are now locked (not user-editable).
Scalping m15 indicator RovTradingScalping Indicator Combining UT Bot and Linear Regression Candles.
UT Bot uses ATR Trailing Stop to identify entry points.
Linear Regression Candles smooth price action and provide trend signals.
The indicator is suitable for scalping trading on the M15 timeframe.
Stochastic Clean & ClearA simple yet sharp take on the Stochastic Oscillator, built for traders who want to read momentum cleanly without extra clutter.
💡 Main Features:
Dynamic %K and %D line colors — green for bullish momentum, red for bearish.
Auto dots appear whenever %K crosses %D, so you’ll never miss a signal.
Clearly marked overbought (80) and oversold (20) zones with a soft transparent background.
Adjustable smoothing parameters to fit your trading style.
🎯 Perfect for traders who rely on price action + momentum, especially on intraday and swing timeframes.
Minimalist design, no noise — just colors and dots that tell you when the market mood starts to shift.
2 Bandas de Bollinguer (10-20) + 4 EMA + 2 SMA 2 BB (10-20) + 4 EMA (35-50-100-200) + 2 SMA (75-100) configurable
TalaJooy V1.31 𓅂💎 استراتژی معاملاتی TalaJooy V1.31 𓅂
TalaJooy (طلاجوی) یک چارچوب معاملاتی حرفهای و کامل برای TradingView است که برای حذف حدس و گمان، احساسات و تصمیمگیریهای هیجانی از فرآیند معاملات طراحی شده است.
این محصول یک «اندیکاتور سیگنالدهی» ساده نیست؛ بلکه یک استراتژی (Strategy) کامل است که چهار وظیفه کلیدی را به صورت خودکار انجام میدهد:
تحلیل بازار (بر اساس یک موتور امتیازدهی کمی)
صدور سیگنال (ورود و خروج شفاف)
مدیریت ریسک پویا (محاسبه خودکار حد ضرر)
مدیریت حجم پوزیشن (محاسبه خودکار حجم بر اساس ریسک)
هدف «طلاجوی» تبدیل معاملهگری شهودی به یک فرآیند مکانیکی، مبتنی بر داده و مدیریت ریسک است.
⚙️ قابلیتهای کلیدی (آنچه دریافت میکنید)
این استراتژی مجهز به مجموعهای از ابزارهای حرفهای است که مستقیماً روی چارت شما اجرا میشوند:
🎯 ۱. سیگنالهای ورود و خروج شفاف
فلشهای واضح خرید (▲) و فروش (▼) که نقاط دقیق ورود بر اساس منطق استراتژی را مشخص میکنند. این سیستم تنها زمانی سیگنال صادر میکند که فیلترهای روند، همسویی لازم را تایید کنند.
🛡️ ۲. مدیریت ریسک پویای ATR
بزرگترین چالش معاملهگران، تعیین حد ضرر (SL) مناسب است. این استراتژی حد ضرر را به صورت خودکار و پویا بر اساس نوسانات واقعی بازار (با استفاده از ATR) محاسبه میکند.
نتیجه: در بازارهای پرنوسان، استاپ شما برای جلوگیری از استاپهانت شدن، فاصله ایمنتری میگیرد و در بازارهای آرام، بهینهتر و نزدیکتر تنظیم میشود.
💰 ۳. محاسبه خودکار حجم پوزیشن
دیگر نیازی به «ماشین حساب پوزیشن» ندارید. استراتژی به صورت اتوماتیک، حجم دقیق هر معامله را بر اساس درصد ریسک ثابتی که شما از کل سرمایهتان تعیین میکنید، محاسبه مینماید. این ویژگی، مدیریت سرمایه حرفهای را در تمام معاملات شما تضمین میکند.
🎨 ۴. نواحی بصری سود و زیان (TP/SL)
هنگامی که یک معامله باز است، این ابزار به صورت زنده، نواحی حد سود (سبز) و حد ضرر (قرمز) را مشابه ابزار پوزیشن خود تریدینگ ویو، مستقیماً روی چارت برای شما رسم میکند.
📈 ۵. پنل آمار عملکرد پیشرفته
یک جدول آماری جامع که تمام معیارهای کلیدی عملکرد شما را به صورت زنده نمایش میدهد:
سود و زیان خالص (دلاری و درصدی)
ضریب سود (Profit Factor)
نرخ موفقیت (Win Rate)
تعداد معاملات سودده / زیانده
حداکثر افت سرمایه (Max Drawdown)
و موارد دیگر...
🚦 ۶. آیکونهای بازخورد معامله
با آیکونهای هوشمند، فوراً کیفیت معاملات بسته شده خود را ارزیابی کنید:
😎🚀 (سود ویژه و قابل توجه)
💰 (سود عادی)
🙈 (زیان)
📈 چگونه از این ابزار استفاده کنید؟
«طلاجوی» یک 'ماشین چاپ پول' جادویی نیست، بلکه یک ابزار تست و اجرای حرفهای است.
۱. بکتست و بهینهسازی (Backtesting)
مهمترین قدرت این اسکریپت، قابلیت Strategy بودن آن است. شما میتوانید این استراتژی را روی هر جفتارز و تایم فریمی که معامله میکنید (طلا، کریپتو، جفتارزها و...) بکتست بگیرید تا آمار عملکرد آن را مشاهده کنید.
۲. تنظیم پارامترها
از طریق منوی تنظیمات، پارامترهای کلیدی مانند درصد ریسک، نسبت ریسک به ریوارد (R:R)، و فیلترهای زمانی را مطابق با سبک معاملاتی و دارایی مورد نظر خود بهینهسازی کنید.
۳. اجرای سیستماتیک
پس از یافتن تنظیمات بهینه در بکتست، در معاملات زنده به سیگنالها پایبند بمانید و اجازه دهید منطق مکانیکی، معاملات شما را مدیریت کند.
⚠️ سلب مسئولیت مهم (مطابق با قوانین TradingView)
این اسکریپت صرفاً یک ابزار تحلیلی و معاملاتی است و نباید به عنوان سیگنال مالی یا توصیهای برای خرید و فروش تلقی شود. تمام معاملات دارای ریسک هستند و نتایج گذشته تضمینکننده عملکرد آینده نمیباشد.
لطفاً قبل از استفاده از این استراتژی در حساب واقعی، آن را به طور کامل در حالت دمو یا بکتست ارزیابی کنید. مسئولیت تمامی سودها و زیانها بر عهده خود معاملهگر است.
💎 TalaJooy V1.31 𓅂 Trading Strategy
TalaJooy (meaning "Gold Seeker") is a complete, professional trading framework for TradingView, designed to remove guesswork, emotion, and impulsive decisions from your trading process.
This is not a simple signal indicator; it is a complete Strategy script that automates four key tasks:
Market Analysis (Based on a quantitative scoring engine)
Signal Generation (Clear entries and exits)
Dynamic Risk Management (Automated Stop Loss calculation)
Position Sizing (Automated trade sizing based on risk)
The goal of "TalaJooy" is to transform intuitive trading into a mechanical, data-driven, and risk-managed process.
⚙️ Key Features (What You Get)
This strategy comes equipped with a suite of professional tools that run directly on your chart:
🎯 1. Clear Entry & Exit Signals
Receive unambiguous Buy (▲) and Sell (▼) arrows identifying precise entry points based on the strategy's logic. The system only generates signals when its trend-confirmation filters are aligned.
🛡️ 2. Dynamic ATR Risk Management
A trader's biggest challenge is setting a proper Stop Loss (SL). This strategy calculates your SL automatically and dynamically based on real-time market volatility (using ATR).
The Benefit: In volatile markets, your stop is placed at a safer distance to avoid being "stopped out" by noise. In calm markets, it's set tighter and more efficiently.
💰 3. Automated Position Sizing
Stop using external "position size calculators." The strategy automatically calculates the exact trade size for every position based on a fixed risk percentage of your total equity (which you define). This enforces professional money management on every trade.
🎨 4. Visual Profit & Loss (TP/SL) Zones
While a trade is active, this tool plots live, visual zones for your Take Profit (green) and Stop Loss (red) targets, similar to TradingView's native "Long/Short Position" tool.
📈 5. Advanced Performance Stats Panel
A comprehensive statistics table displays all your key performance metrics in real-time:
Net Profit (% and $)
Profit Factor
Win Rate
Win / Loss Trade Count
Max Drawdown
And more...
🚦 6. Smart Trade Feedback Icons
Instantly review the quality of your closed trades with intelligent emoji feedback:
😎🚀 (Exceptional Profit)
💰 (Standard Profit)
🙈 (Loss)
📈 How to Use This Tool
"TalaJooy" is not a "magic money machine"; it is a professional-grade tool for testing and execution.
1. Backtesting & Optimization
The most powerful feature of this script is its Strategy component. You can backtest it on any asset or timeframe you trade (Gold, Crypto, Forex, etc.) to see its historical performance data.
2. Parameter Tuning
Use the settings menu to optimize key parameters—such as Risk Percentage, Risk:Reward Ratio, and core filter settings—to match your personal trading style and preferred assets.
3. Systematic Execution
After identifying optimal settings via backtesting, adhere to the signals in your live trading and let the mechanical logic manage your trades.
⚠️ Important Disclaimer (TradingView Compliant)
This script is provided for educational and analytical purposes only. It is not financial advice or a recommendation to buy or sell any asset. All trading involves substantial risk. Past performance is not indicative of future results.
Please thoroughly evaluate this strategy via backtesting or paper trading before deploying it with real funds. The user assumes full responsibility for all profits and losses incurred.
Kingdom SMCThis indicator combines Smart Money concept, chanlun, and multiple divergence technical analysis to construct a visual market analysis system.
JackFinance: Multiple EMA IndicatorMultiple EMA Indicator - Usage Instructions
Overview
Technical indicator displaying four exponential moving averages (EMA21, EMA52, EMA120, EMA200) for trend analysis across different timeframes.
Default Settings
EMA 21: Blue (short-term)
EMA 52: Green (medium-term)
EMA 120: Yellow (long-term)
EMA 200: Red (very long-term)
Key Features
Real-time EMA values displayed in table
Background color indicates trend vs EMA200
Customizable periods via input settings
Trading Applications
Identify trend direction using EMA alignment
Use EMA crossovers for entry/exit signals
Monitor price position relative to EMAs for support/resistance
Parameters
All EMA periods can be adjusted in indicator settings to match your trading strategy.
Notes
This is a technical analysis tool only. Combine with other indicators and risk management practices.
Volume Pressure Oscillator (VPO)🔹 Core Logic
VPO Calculation:
The indicator measures price momentum weighted by volume, smoothed by EMA, and normalized within a dynamic range to highlight relative pressure extremes.
Signal Line:
A secondary EMA of VPO acts as a signal baseline for crossovers and trend confirmation.
Entry Triggers:
Zero-line Crossovers: Momentum shifts from bearish to bullish (or vice versa).
Signal Crossovers: Confirmation of sustained directional momentum.
Filters:
Volume Filter: Only trades when volume is above the moving average.
VWAP Slope Filter: Ensures trades align with intraday institutional flow.
Higher Timeframe VWAP: Confirms multi-timeframe directional bias.
RSI Filter: Avoids overextended entries.
Optional Divergence Confirmation: Adds precision in reversal environments.
Multi-Resolution RSI with Machine LearningMulti-Resolution RSI
Developed by imaclone.x.
Last Updated: August 21st 2025
A single indicator that fuses my ML-RSI.ai pipeline with a classic multi-timeframe RSI. One script, dual-resolution oscillators if desired, plus a machine-learning similarity engine and modular signal-processing layers.
What it does
* Primary RSI augmented with KNN similarity engine (K, lookback, weighting). Feature embeddings include RSI magnitude, RSI momentum, volatility surface, regression slope, and price momentum vectors.
* Adaptive smoothing stack: Kalman filter recursion, Double EMA cascades, or ALMA convolution.
* Multi-resolution control for the primary oscillator timeframe.
* Optional *second* RSI projected from any timeframe for hierarchical confluence.
* Advanced visuals: upper/lower thresholds, midline, background regime highlighting, crossovers, and B/S event labels.
* Color architectures: None, Trend-Following (50-line bifurcation), or Impulse (band-breach). Optional bar tinting for full-chart context.
Inputs (groups)
* Timeframe Settings: primary + secondary RSI TF/lengths.
* Levels & Visuals: thresholds, highlights, cross events, B/S markers.
* RSI Base: smoothing toggle, MA class, ALMA sigma.
* KNN Machine Learning: enable, K neighbors, historical window, feature dimensionality, ML weighting.
* Advanced Filtering: method + intensity.
* Coloring: None, Trend-Following, Impulse.
Signals
* B flag when ML-RSI crosses upward through the lower threshold.
* S flag when ML-RSI crosses downward through the upper threshold.
* Secondary RSI = higher-timeframe confirmation, not standalone trigger.
Usage notes
* Raise ML weight + feature dimensionality for deeper similarity recognition; lower them for classic oscillator behavior.
* Kalman recursion delivers adaptive, low-lag smoothing; Double EMA and ALMA yield stronger dampening.
* Typical config: intraday primary RSI + higher-TF secondary RSI for regime anchoring.
Changelog
* v6 merge: Unified CM-style MTF RSI framework with my KNN-enhanced kernel and filter stack. One composite indicator replaces multiple scripts.
Credits
* MTF band logic inspired by earlier open-source frameworks.
* ML kernel and implementation by imaclone.x.
Disclaimer
For research and algorithmic experimentation only. No signals guaranteed.
And please kindly, for the love of God, DYOFR.
Lesh_ghoti_2Custom Timeframe 2 randomness, Custom Timeframe 2 randomness, Custom Timeframe 2 randomness
SSI-O - Super Strength Indicator (overlay) [Da_Prof]This is the overlay version of the Super Strength Indicator (SSI). The SSI is a combination of the money flow indicator (MFI), stochastic (Stoch) and relative strength index (RSI). These indicators are averaged together with weightings tested via months of backtesting to produce the SSI algorithm that is not just a simple average or summation of these indicators. The SSI is a sensitive indicator that detects exhaustion of momentum for all assets.
The overlay version of the SSI shows triangles above/below the price when there is high/low risk. The high risk is colored purple. The extreme high risk is colored red. The low risk is colored blue/green and the extreme low risk is colored green.
Weightings of each into the indicator can be changed. If changing the weighting, it is best to ensure the percentages add up to 300%. For example, if changing the RSI weight to 120%, it is best to drop the MFI and Stoch to 90% each.
The RSI SMA is default set at 1. This means the indicator uses the RSI with no smoothing. If changing to greater than 1, then the indicator uses the moving average smoothed RSI.
The default for the Stoch is to use the K only. The D can be used by changing the weightings.
SSI - Super Strength Indicator [Da_Prof]The Super Strength Indicator (SSI) is a combination of the money flow indicator (MFI), stochastic (Stoch) and relative strength index (RSI). These indicators are averaged together with weightings tested via months of backtesting to produce the SSI algorithm that is not just a simple average or summation of these indicators. The SSI is a sensitive indicator that detects exhaustion of momentum for all assets.
The SSI shows background colors when there is high/low risk. The high risk is colored purple. The extreme high risk is colored red. The low risk is colored blue/green and the extreme low risk is colored green.
Weightings of each into the indicator can be changed. If changing the weighting, it is best to ensure the percentages add up to 300%. For example, if changing the RSI weight to 120%, it is best to drop the MFI and Stoch to 90% each.
The RSI SMA is default set at 1. This means the indicator uses the RSI with no smoothing. If changing to greater than 1, then the indicator uses the moving average smoothed RSI.
The default for the Stoch is to use the K only. The D can be used by changing the weightings.
AlphaFlow - Trend DetectorOVERVIEW
AlphaFlow identifies and tracks large volume moves by combining volume analysis, price impact measurement, and conviction scoring to separate significant institutional moves from normal trading activity. Rather than just flagging high volume, this indicator evaluates whether large trades actually moved the market and assigns conviction levels based on multiple confirmation factors.
WHAT MAKES THIS ORIGINAL
This is not simply a volume indicator or volume-weighted price tracker. The originality lies in the multi-factor conviction scoring system that evaluates whether large volume moves represent genuine institutional conviction or just noise.
Key Differentiators:
- Combines volume ratio AND price impact (volume alone doesn't mean conviction)
- Conviction scoring system that weighs trend alignment, follow-through, and volume persistence
- Cumulative flow tracking that shows persistent directional pressure over time
- Market regime detection (bullish/bearish/sideways) based on flow dynamics
- Tiered signal system (EXTREME/HIGH/MEDIUM conviction) rather than binary signals
This approach solves the problem of volume spikes that don't lead to meaningful price action, or price moves on low volume that don't persist.
HOW IT WORKS
1. Whale Detection Engine:
Volume Qualification: Compares current volume to a rolling average (default 50 bars). Whale activity requires volume to be at least 1.5x the average (adjustable).
Price Impact Requirement: Volume alone isn't enough. The bar must also show significant price movement (default 0.1% minimum). This filters out high-volume consolidation where no one is actually committed to direction.
Direction Identification: Bullish whale = close > open on high volume. Bearish whale = close < open on high volume.
2. Conviction Scoring System:
The indicator doesn't just flag whale activity - it evaluates conviction through multiple factors:
Base Conviction: Calculated from (volume_ratio × price_impact) / 10
This gives higher scores to moves with both exceptional volume AND large price swings.
Trend Alignment Bonus (1.5x multiplier): Whale moves aligned with the 20-period EMA trend receive higher conviction scores. Institutional money tends to accumulate with the trend, not against it.
Follow-Through Bonus (1.3x multiplier): After whale activity, does price continue in that direction over the next bars (default 3)? Genuine conviction shows persistence.
Volume Persistence (1.2x multiplier): Is elevated volume sustained over multiple bars, or is it a one-time spike? The 3-bar average volume ratio above 1.5x indicates sustained interest.
Conviction Levels:
- EXTREME: Score > 15 (large whale emoji labels, highest confidence)
- HIGH: Score > 8 (triangle signals, strong confidence)
- MEDIUM: Score > 3 (small triangles, moderate confidence)
- LOW: Score < 3 (not plotted to reduce noise)
3. Cumulative Flow Analysis:
Rather than treating each whale move in isolation, the indicator tracks cumulative flow using an EMA of whale activity. This reveals persistent directional pressure.
Flow Calculation: Each whale bar contributes (whale_strength × direction) to the flow. Strength is volume_ratio × price_impact_percent.
Flow Momentum: Rate of change in the cumulative flow (5-bar change)
Flow Acceleration: Second derivative (3-bar change of momentum)
These metrics reveal whether whale activity is accelerating, decelerating, or reversing.
4. Market Regime Detection:
Bullish Regime: Cumulative flow > 2 AND momentum positive
Bearish Regime: Cumulative flow < -2 AND momentum negative
Sideways Regime: Neither condition met
The background color reflects the current regime, helping traders understand the broader context.
5. Flow Strength Meter:
The main plot normalizes cumulative flow to a -100 to +100 scale based on the 100-bar range. This provides a consistent visual reference regardless of the asset or timeframe.
Extreme levels at ±50 indicate particularly strong directional flow where reversals or consolidation become more likely.
HOW TO USE IT
Settings Configuration:
Whale Detection Section:
- Volume Average Period (default 50): Shorter periods make detection more sensitive to recent volume changes. Longer periods require more exceptional volume to trigger.
- Whale Volume Multiplier (default 1.5): How much above average volume must be to qualify. Lower = more signals. Higher = only extreme moves.
- Minimum Price Impact (default 0.1%): Filters out high-volume bars that didn't actually move price. Adjust based on asset volatility.
Trend Analysis:
- Trend Strength Period (default 20): EMA period for trend alignment bonus
- Confirmation Bars (default 3): How many bars to check for follow-through
Visual Settings:
- Flow Strength Meter: Main plot showing normalized cumulative flow
- Conviction Labels: Detailed labels showing volume ratio and price impact on extreme/high conviction whales
- Trend Background: Color-coded regime indication
Signal Interpretation:
EXTREME Conviction (Whale Emoji Labels):
These are the highest confidence signals. Large volume with significant price impact, aligned with trend, showing follow-through. These often mark the beginning or continuation of strong moves.
HIGH Conviction (Large Triangles):
Strong signals meeting most criteria. Good for main entries or adding to positions.
MEDIUM Conviction (Small Triangles):
Whale activity present but with fewer confirmation factors. Use for partial positions or require additional confirmation.
Flow Strength Meter:
- Above zero and rising: Bullish flow building
- Below zero and falling: Bearish flow building
- Approaching ±50: Extreme readings, watch for exhaustion
- Crossing zero: Flow regime change
Dashboard Information:
The top-right table shows:
- Current regime (bullish/bearish/sideways)
- Flow strength value
- Last whale direction
- Conviction level of last whale
- Current volume ratio
- Flow momentum direction
- Indicator status
Trading Strategies:
Trend Following: Take EXTREME and HIGH conviction signals aligned with the flow meter direction. Enter when flow is positive and rising for bullish whales, negative and falling for bearish whales.
Regime-Based: Only trade in bullish/bearish regimes (colored backgrounds). Avoid trading in sideways regimes where whale moves tend to reverse quickly.
Flow Reversals: When flow meter crosses zero with EXTREME conviction whale in the new direction, this often marks regime changes.
Exhaustion Plays: When flow reaches ±50 extreme levels, watch for EXTREME conviction whales in the opposite direction as potential reversal signals.
TECHNICAL DETAILS
Volume Ratio = Current Volume / SMA(Volume, Period)
Price Impact % = ABS(Close - Open) / Open × 100
Whale Detected = (Volume Ratio >= Multiplier) AND (Price Impact >= Minimum)
Whale Direction = Close > Open ? 1 : -1
Base Conviction = (Volume Ratio × Price Impact %) / 10
Trend Alignment = Whale Direction == Trend Direction ? 1.5 : 1.0
Follow-Through = Price continues whale direction over N bars ? 1.3 : 1.0
Volume Persistence = SMA(Volume Ratio, 3) > 1.5 ? 1.2 : 1.0
Final Conviction = Base × Trend Alignment × Follow-Through × Volume Persistence
Whale Flow = Whale Detected ? (Volume Ratio × Price Impact × Direction) : 0
Cumulative Flow = EMA(Whale Flow, 20)
Flow Momentum = Change(Cumulative Flow, 5)
Flow Acceleration = Change(Momentum, 3)
Normalized Flow Strength = (Cumulative Flow / Highest(ABS(Cumulative Flow), 100)) × 100
WHAT THIS SOLVES
Common Volume Indicator Problems:
- Volume spikes that don't move price (consolidation noise)
- Price moves on low volume that quickly reverse
- No differentiation between strong and weak volume signals
- Treating all high-volume bars equally regardless of context
- No measure of whether volume represents conviction or panic
Whale Flow Solutions:
- Requires both volume AND price impact for signals
- Conviction scoring separates strong moves from weak ones
- Cumulative flow shows persistent pressure vs isolated spikes
- Trend alignment and follow-through filter low-quality signals
- Tiered system lets traders choose their confidence threshold
LIMITATIONS
- Cannot identify individual whales or attribute volume to specific entities
- High volume can come from many sources (whales, retail panic, algo activity)
- Works best on liquid assets with consistent volume patterns
- Less reliable on low-volume assets or during market closures
- Conviction scoring thresholds may need adjustment per asset/timeframe
- Does not predict future whale activity, only identifies it after bars close
- Flow can remain at extremes longer than expected during strong trends
- False signals can occur during news events or earnings
- Not a standalone trading system - requires risk management and other analysis
Best used in combination with price action, support/resistance, and broader market context.
EDUCATIONAL VALUE
For traders learning about:
- Volume analysis beyond simple volume indicators
- Multi-factor signal confirmation systems
- Market regime and flow concepts
- Conviction-based scoring methodologies
- Cumulative indicator design
- Normalized plotting for cross-asset comparison
- Pine Script table and dashboard creation
Not financial advice.
AlphaMACD - Adaptive MACD with Efficiency RatioOVERVIEW
AlphaMACD is an adaptive implementation of the classic MACD indicator that dynamically adjusts its calculation periods based on market efficiency. Unlike traditional MACD which uses fixed periods (typically 12, 26, 9), this indicator adapts its fast and slow EMA periods in real-time based on how efficiently the market is trending.
WHAT MAKES THIS ORIGINAL
This is not a simple MACD with different settings or colors. The core innovation is the adaptive period calculation using Kaufman's Efficiency Ratio, which was originally developed for the Adaptive Moving Average (AMA). This indicator applies that adaptive logic to MACD itself.
Key Differences from Standard MACD:
- Periods dynamically adjust between user-defined ranges (default: 8-21 for fast, 21-55 for slow)
- Uses Kaufman's Efficiency Ratio to measure market trendiness
- Implements gap protection to prevent extreme spikes from market gaps
- Includes market regime detection to filter signals in choppy conditions
- Provides multi-timeframe trend confirmation
HOW IT WORKS
1. Efficiency Ratio Calculation:
The indicator calculates market efficiency by comparing the absolute price change over a period to the sum of absolute price changes within that period. High efficiency = strong trending market. Low efficiency = choppy/sideways market.
2. Adaptive Period Adjustment:
- In trending markets (high efficiency): Periods move toward the minimum values for faster response
- In choppy markets (low efficiency): Periods move toward the maximum values for slower, more stable signals
- The "Sensitivity" parameter controls how aggressively periods adapt (0.5 to 5.0)
3. Gap Protection:
The custom adaptive EMA function detects abnormal price gaps (moves larger than 3x the typical ATR-based change) and limits their impact on the calculation. This prevents weekends or news gaps from causing extreme MACD spikes.
4. Signal Quality Filtering:
- Market regime detection identifies trending vs sideways conditions
- Momentum filter (RSI-based) prevents signals during overextended moves
- Signal strength calculation helps identify high-confidence setups
- Sideways market signals are marked with warning symbols
5. Multi-Timeframe Analysis:
The indicator compares current timeframe MACD with a higher timeframe (default 60 min) to provide context and filter against-trend signals.
HOW TO USE IT
Settings:
- Core Settings: Define the minimum and maximum periods for fast/slow EMAs
- Sensitivity: Higher values make the indicator more responsive to market changes
- Multi-timeframe: Set a higher timeframe for trend confirmation
- Visual options: Customize appearance and enable/disable features
Signal Interpretation:
- Strong bullish/bearish signals (large triangles): High-confidence entries in trending markets
- Warning signals (small ⚠): Crossovers in sideways markets - use caution or skip
- Divergence labels ("DIV"): Price and MACD diverging - potential reversal
- Background color: Green tint = trending market, Orange tint = sideways market
The Information Table shows:
- Current market regime (trending or sideways)
- Market efficiency percentage (how clean the trend is)
- Current adaptive fast and slow periods
- Higher timeframe trend direction
- Current signal strength
Best Practices:
- In trending markets: Trust strong signals, avoid warning signals
- In sideways markets: Reduce position sizes or skip trades entirely
- Use higher timeframe confirmation for better signal quality
- Adjust sensitivity based on your trading timeframe (higher for intraday, lower for swing)
TECHNICAL DETAILS
Calculation Method:
- Efficiency Ratio = ABS(Close - Close ) / SUM(ABS(Close - Close ), Period)
- Smoothed Efficiency = EMA(Efficiency Ratio, 5)
- Fast Period = Fast_Min + (Fast_Max - Fast_Min) × (1 - Smoothed_Efficiency × Sensitivity)
- Slow Period = Slow_Min + (Slow_Max - Slow_Min) × (1 - Smoothed_Efficiency × Sensitivity)
- Adaptive EMA uses standard EMA formula with gap detection and limiting
- MACD = Fast Adaptive EMA - Slow Adaptive EMA
- Signal = EMA(MACD, Signal Period)
- Histogram = MACD - Signal
The adaptive periods are calculated on every bar, so the MACD responds faster in trending conditions and stabilizes during consolidation.
WHAT THIS SOLVES
Standard MACD Problems:
- Fixed periods don't adapt to changing market conditions
- Too many false signals in sideways markets
- Whipsaws during low-volatility consolidation
- Price gaps can cause misleading spikes
AlphaMACD Solutions:
- Periods automatically adjust to market state
- Market regime filter identifies and warns about sideways conditions
- Adaptive smoothing reduces whipsaws
- Gap protection prevents false extremes
LIMITATIONS
- Like all indicators, this does not predict the future
- Requires trending markets for optimal performance
- Adaptive calculation means backtesting results will differ from fixed-period MACD
- More complex than standard MACD - requires understanding of adaptive concepts
- The adaptive periods mean you cannot directly compare this to traditional MACD studies
This indicator is best used as part of a complete trading system, not as a standalone signal generator.
EDUCATIONAL VALUE
For traders learning about:
- Adaptive indicators and market efficiency concepts
- Kaufman's Adaptive Moving Average principles applied to oscillators
- Market regime detection and signal filtering
- Gap handling in technical indicators
- Multi-timeframe analysis integration
Not Financial advice.
MILLION MEN - Capitulation Hunter What it is
MILLION MEN – Capitulation Hunter detects potential capitulation buy-limits using a confluence of momentum, volatility, and liquidity cues. It combines a 5-oscillator sentiment (RSI / Stoch / CCI / MFI / MACD histogram) with EMA200 trend context, Bollinger lower band proximity, volume climax, and an optional liquidity sweep check. When all filters align, the tool paints a BUY-LIMIT zone and proposes SL/TP levels.
How it works (high-level)
Oscillator sentiment (0–100%): counts how many of the five oscillators are bullish; capitulation candidate = 0%.
Trend & location: price below EMA200 and at/through BB lower band (basis ± mult×σ).
Selling climax: current volume ≥ X × volume SMA.
Liquidity sweep (optional): current low sweeps the prior N-bar low but closes back above it.
Confirmation: optional 0–2 extra bars (close > low and bullish bodies) before validating.
On validation, the script draws: BUY-LIMIT zone, dotted SL = zone bottom − ATR×mult, TP by R:R, and a mini sentiment table.
How to use
Look for zones after fast, extended selloffs into BB-L with volume spike and oscillators at 0%.
Place pending BUY-LIMIT inside the painted zone; use the plotted SL/TP as a starting point.
Works across timeframes; adjust volume multiplier, sweep length, confirmation bars, and ATR×SL to your market.
For added confluence: HTF structure, session/flow, or order-book/liquidity context.
Originality & value
Instead of a generic mashup, this tool enforces a strict confluence: (1) five-oscillator capitulation, (2) location at BB-L under EMA200, (3) volume climax, (4) optional sweep/recapture, and (5) bar-based confirmation—then auto-renders a practical trade plan (zone + SL/TP) and a readable sentiment table. All calculations are manual (no lookahead) and designed for clarity and execution.
Limitations & transparency
Capitulation can persist during strong downtrends; always use structure and risk management.
SL/TP visuals are hints, not orders; adapt to instrument volatility and liquidity.
Non-standard chart types aren’t supported for signals. No future data is used.
This is not financial advice; past performance does not guarantee future results.
(ملخص عربي )
مؤشر يلتقط سيناريوهات الاستسلام البيعي (Capitulation) عبر شروط متشددة: مزاج مؤشرات الزخم = 0%، السعر تحت EMA200 وعند/أسفل BB-L، ذروة فوليوم، واختياري سويب قيعان ثم ارتداد. عند التأكيد يرسم منطقة BUY-LIMIT ويقترح SL/TP. استخدمه مع هيكل السوق وإدارة المخاطر.
Logit RSI [AdaptiveRSI]The traditional 0–100 RSI scale makes statistical overlays, such as Bollinger Bands or even moving averages, technically invalid. This script solves this issue by placing RSI on an unbounded, continuous scale, enabling these tools to work as intended.
The Logit function takes bounded data, such as RSI values ranging from 0 to 100, and maps them onto an unbounded scale ranging from negative infinity (−∞) to positive infinity (+∞).
An RSI reading of 50 becomes 0 on the Logit scale, indicating a balanced market. Readings above 50 map to positive Logit values (price above Wilder’s EMA / RSI above 50), while readings below 50 map to negative values (price below Wilder’s EMA / RSI below 50).
For the detailed formula, which calculates RSI as a scaled distance from Wilder’s EMA, check the RSI
: alternative derivation script.
The main issue with the 0–100 RSI scale is that different lookback periods produce very different distributions of RSI values. The histograms below illustrate how often RSIs of various lengths spend time within each 5-point range.
On RSI(2), the tallest bars appear at the edges (0–5 and 95–100), meaning short-term RSI spends most of its time at the extremes. For longer lookbacks, the bars cluster around the center and rarely reach 70 or 30.
This behavior makes it difficult to generalize the two most common RSI techniques:
Fixed 70/30 thresholds: These overbought and oversold levels only make sense for short- or mid-range lookbacks (around the low teens). For very short periods, RSI spends most of its time above or below these levels, while for long-term lookbacks, RSI rarely reaches them.
Bollinger Bands (±2 standard deviations): When applied directly to RSI, the bands often extend beyond the 0–100 limits (especially for short-term lookbacks) making them mathematically invalid. While the issue is less visible on longer settings, it remains conceptually incorrect.
To address this, we apply the Logit Transform :
Logit RSI = LN(RSI / (100 − RSI))
The transformed data fits a smooth bell-shaped curve, allowing statistical tools like Bollinger Bands to function properly for the first time.
Why Logit RSI Matters:
Makes RSI statistically consistent across all lookback periods.
Greatly improves the visual clarity of short-term RSIs
Allows proper use of volatility tools (like Bollinger Bands) on RSI.
Replaces arbitrary 70/30 levels with data-driven thresholds.
Simplifies RSI interpretation for both short- and long-term analysis.
INPUTS:
RSI Length — set the RSI lookback period used in calculations.
RSI Type — choose between Regular RSI or Logit RSI .
Plot Bollinger Bands — ON/OFF toggle to overlay statistical envelopes around RSI or Logit RSI.
SMA and Standard Deviation Length — defines the lookback period for both the SMA (Bollinger Bands midline) and Standard Deviation calculations.
Standard Deviation Multiplier — controls the width of the Bollinger Bands (e.g., 2.0 for ±2σ).
While simple, the Logit transformation represents an unexplored yet powerful mathematically grounded improvement to the classic RSI.
It offers traders a structured, intuitive, and statistically consistent way to use RSI across all timeframes.
I welcome your feedback, suggestions, and code improvements—especially regarding performance and efficiency. Your insights are greatly appreciated.






















