PROTECTED SOURCE SCRIPT
Aggiornato 🚀 AlphaMACD - MACD That Adapts

AlphaMACD - The MACD That Actually Adapts
What Makes This Different?
Traditional MACD uses fixed periods (12/26/9) that don't adapt to market conditions. This MACD automatically adjusts its sensitivity based on market efficiency:
- Trending Markets → More responsive (8-21 periods) for faster signals
- Sideways Markets → More conservative (21-55 periods) to reduce noise
- Key Features
- Smart Adaptation Engine
Automatically adjusts from 8-55 periods based on Kaufman's Efficiency Ratio
Real-time efficiency measurement shows you market regime
Signals
Multi-filter system: momentum + trend + signal strength
Market regime detection prevents sideways market traps
Presentation
4 themes: Dark, Light, Neon, Matrix
Dynamic efficiency zones that adapt to volatility
Comprehensive info table with all key metrics
Analysis Tools
Multi-timeframe confirmation
Divergence detection for reversal spots
Signal strength measurement
Noise filtering with ATR
Alert System
Bullish/bearish signals
Divergence alerts
Sideways market warnings
Zero lag - alerts fire instantly
How It Works
The indicator uses market efficiency calculation to determine how "trendy" vs "choppy" current conditions are:
High Efficiency = Strong trending → Faster, more responsive settings
Low Efficiency = Sideways/noisy → Slower, more stable settings
This solves the biggest MACD problem: static parameters that don't adapt to changing market dynamics
Settings Recommendations
Conservative: Sensitivity 1.5, Noise Filter 2.0
Balanced: Sensitivity 2.0, Noise Filter 1.5 (default)
Aggressive: Sensitivity 3.0, Noise Filter 1.0
What Makes This Different?
Traditional MACD uses fixed periods (12/26/9) that don't adapt to market conditions. This MACD automatically adjusts its sensitivity based on market efficiency:
- Trending Markets → More responsive (8-21 periods) for faster signals
- Sideways Markets → More conservative (21-55 periods) to reduce noise
- Key Features
- Smart Adaptation Engine
Automatically adjusts from 8-55 periods based on Kaufman's Efficiency Ratio
Real-time efficiency measurement shows you market regime
Signals
Multi-filter system: momentum + trend + signal strength
Market regime detection prevents sideways market traps
Presentation
4 themes: Dark, Light, Neon, Matrix
Dynamic efficiency zones that adapt to volatility
Comprehensive info table with all key metrics
Analysis Tools
Multi-timeframe confirmation
Divergence detection for reversal spots
Signal strength measurement
Noise filtering with ATR
Alert System
Bullish/bearish signals
Divergence alerts
Sideways market warnings
Zero lag - alerts fire instantly
How It Works
The indicator uses market efficiency calculation to determine how "trendy" vs "choppy" current conditions are:
High Efficiency = Strong trending → Faster, more responsive settings
Low Efficiency = Sideways/noisy → Slower, more stable settings
This solves the biggest MACD problem: static parameters that don't adapt to changing market dynamics
Settings Recommendations
Conservative: Sensitivity 1.5, Noise Filter 2.0
Balanced: Sensitivity 2.0, Noise Filter 1.5 (default)
Aggressive: Sensitivity 3.0, Noise Filter 1.0
Note di rilascio
updated visualsNote di rilascio
fixed an outlier issueScript protetto
Questo script è pubblicato come codice protetto. Tuttavia, è possibile utilizzarlo liberamente e senza alcuna limitazione – per saperne di più clicca qui.
Declinazione di responsabilità
Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.
Script protetto
Questo script è pubblicato come codice protetto. Tuttavia, è possibile utilizzarlo liberamente e senza alcuna limitazione – per saperne di più clicca qui.
Declinazione di responsabilità
Le informazioni ed i contenuti pubblicati non costituiscono in alcun modo una sollecitazione ad investire o ad operare nei mercati finanziari. Non sono inoltre fornite o supportate da TradingView. Maggiori dettagli nelle Condizioni d'uso.