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Hurst Momentum Oscillator | AlphaNatt

Hurst Momentum Oscillator | AlphaNatt
An adaptive oscillator that combines the Hurst Exponent - which identifies whether markets are trending or mean-reverting - with momentum analysis to create signals that automatically adjust to market regime.
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📐 THE MATHEMATICS
Hurst Exponent (H):
Measures the long-term memory of time series:
Originally developed for analyzing Nile river flooding patterns, now used in:
The Innovation:
This oscillator multiplies momentum by the Hurst coefficient:
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💎 KEY ADVANTAGES
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📊 TRADING SIGNALS
Visual Interpretation:
Trading Strategies:
1. Trend Following:
Trade momentum signals when background is blue (trending)
2. Mean Reversion:
Fade extreme readings when background is pink
3. Regime Transition:
Watch for background color changes as early warning
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🎯 OPTIMAL USAGE
Best Conditions:
Market Applications:
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Developed by AlphaNatt | Fractal Market Analysis
Version: 1.0
Classification: Adaptive Regime Oscillator
Not financial advice. Always DYOR.
An adaptive oscillator that combines the Hurst Exponent - which identifies whether markets are trending or mean-reverting - with momentum analysis to create signals that automatically adjust to market regime.
"The Hurst Exponent reveals a hidden truth: markets aren't always trending. This oscillator knows when to ride momentum and when to fade it."
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📐 THE MATHEMATICS
Hurst Exponent (H):
Measures the long-term memory of time series:
- H > 0.5: Trending (persistent) behavior
- H = 0.5: Random walk
- H < 0.5: Mean-reverting behavior
Originally developed for analyzing Nile river flooding patterns, now used in:
- Fractal market analysis
- Network traffic prediction
- Climate modeling
- Financial markets
The Innovation:
This oscillator multiplies momentum by the Hurst coefficient:
- When trending (H > 0.5): Momentum is amplified
- When mean-reverting (H < 0.5): Momentum is reduced
- Result: Adaptive signals based on market regime
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💎 KEY ADVANTAGES
- Regime Adaptive: Automatically adjusts to trending vs ranging markets
- False Signal Reduction: Reduces momentum signals in mean-reverting markets
- Trend Amplification: Stronger signals when trends are persistent
- Mathematical Edge: Based on fractal dimension analysis
- No Repainting: All calculations on historical data
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📊 TRADING SIGNALS
Visual Interpretation:
- Cyan zones: Bullish momentum in trending market
- Magenta zones: Bearish momentum or mean reversion
- Background tint: Blue = trending, Pink = mean-reverting
- Gradient intensity: Signal strength
Trading Strategies:
1. Trend Following:
Trade momentum signals when background is blue (trending)
2. Mean Reversion:
Fade extreme readings when background is pink
3. Regime Transition:
Watch for background color changes as early warning
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
🎯 OPTIMAL USAGE
Best Conditions:
- Strong trending markets (crypto bull runs)
- Clear ranging markets (forex sessions)
- Regime transitions
- Multi-timeframe analysis
Market Applications:
- Crypto: Excellent for identifying trend persistence
- Forex: Detects when pairs are ranging
- Stocks: Identifies momentum stocks
- Commodities: Catches persistent trends
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Developed by AlphaNatt | Fractal Market Analysis
Version: 1.0
Classification: Adaptive Regime Oscillator
Not financial advice. Always DYOR.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.
오픈 소스 스크립트
트레이딩뷰의 진정한 정신에 따라, 이 스크립트의 작성자는 이를 오픈소스로 공개하여 트레이더들이 기능을 검토하고 검증할 수 있도록 했습니다. 작성자에게 찬사를 보냅니다! 이 코드는 무료로 사용할 수 있지만, 코드를 재게시하는 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니다. 자세한 내용은 이용 약관을 참조하세요.