OPEN-SOURCE SCRIPT
MAMA [DCAUT]

█ MAMA Adaptive Moving Average [DCAUT]
📊 OVERVIEW
MAMA (MESA Adaptive Moving Average) is an advanced trend-following system developed by John F. Ehlers in 2001 and featured in his book "Rocket Science for Traders." This innovative algorithm uses the Hilbert Transform Discriminator to automatically adapt to market cycles.
Unlike traditional moving averages that use fixed periods, MAMA intelligently adjusts to dominant market cycles, delivering faster signals with fewer false breakouts. The indicator achieves this by dynamically adjusting its smoothing factor, resulting in reduced lag while maintaining reliable trend detection.
🎯 KEY CONCEPTS
How It Works
Key Advantages
📋 PARAMETER SETTINGS
Source (Data Input)
Uses HL2 (average of high and low prices) by default, which is the standard input in Ehlers' original algorithm
Fast Limit - Controls Maximum Responsiveness
Slow Limit - Controls Minimum Smoothing
📈 READING THE SIGNALS
Line Identification
Trading Signals
Trend Confirmation
📄 License: MIT License
👨💻 Developer: DCAUT Team
📊 OVERVIEW
MAMA (MESA Adaptive Moving Average) is an advanced trend-following system developed by John F. Ehlers in 2001 and featured in his book "Rocket Science for Traders." This innovative algorithm uses the Hilbert Transform Discriminator to automatically adapt to market cycles.
Unlike traditional moving averages that use fixed periods, MAMA intelligently adjusts to dominant market cycles, delivering faster signals with fewer false breakouts. The indicator achieves this by dynamically adjusting its smoothing factor, resulting in reduced lag while maintaining reliable trend detection.
🎯 KEY CONCEPTS
How It Works
- Hilbert Transform: Employs digital signal processing to detect price cycles
- Dual-Line System: MAMA (fast line) and FAMA (slow line) create crossover signals
- Cycle Adaptation: Automatically adjusts responsiveness based on market rhythm
- Staircase Movement: Rapidly tracks price changes while holding values until the next shift
Key Advantages
- Cleaner Signals: Helps reduce whipsaws in choppy markets
- Lower Lag: Responds faster than conventional moving averages
- Self-Adjusting: Automatically identifies and adapts to dominant cycles
- Advanced Algorithm: Built on MESA (Maximum Entropy Spectral Analysis) technology
📋 PARAMETER SETTINGS
Source (Data Input)
Uses HL2 (average of high and low prices) by default, which is the standard input in Ehlers' original algorithm
Fast Limit - Controls Maximum Responsiveness
- 0.3-0.4: Stable markets, longer-term analysis
- 0.5: Default setting, works well for most conditions
- 0.6-0.8: Volatile markets, shorter-term trading
Slow Limit - Controls Minimum Smoothing
- 0.02-0.03: High volatility markets, needs extra smoothing
- 0.05: Default setting, balanced response and smoothing
- 0.07-0.10: Stable markets, increased sensitivity
📈 READING THE SIGNALS
Line Identification
- Green Line (MAMA): Fast adaptive moving average
- Red Line (FAMA): Following adaptive moving average
Trading Signals
- MAMA Golden Cross: MAMA crosses above FAMA
- Potential bullish signal
- Consider long positions - MAMA Death Cross: MAMA crosses below FAMA
- Potential bearish signal
- Consider reducing positions or going short
Trend Confirmation
- MAMA above FAMA: Uptrend in progress
- MAMA below FAMA: Downtrend in progress
- Lines moving parallel: Strong trend continuation
- Lines converging: Potential trend change ahead
📄 License: MIT License
👨💻 Developer: DCAUT Team
오픈 소스 스크립트
진정한 트레이딩뷰 정신에 따라 이 스크립트 작성자는 트레이더가 기능을 검토하고 검증할 수 있도록 오픈소스로 공개했습니다. 작성자에게 찬사를 보냅니다! 무료로 사용할 수 있지만 코드를 다시 게시할 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
오픈 소스 스크립트
진정한 트레이딩뷰 정신에 따라 이 스크립트 작성자는 트레이더가 기능을 검토하고 검증할 수 있도록 오픈소스로 공개했습니다. 작성자에게 찬사를 보냅니다! 무료로 사용할 수 있지만 코드를 다시 게시할 경우 하우스 룰이 적용된다는 점을 기억하세요.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.