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Aberration Trend Following Strategy

Aberration Trend-Following Strategy
A legendary long-term trend-following system originally developed by Keith Fitschen in 1986, designed to capture major market trends using Bollinger Bands and volatility filtering.
🔹 STRATEGY OVERVIEW
This mechanical system identifies trend reversals by detecting price breakouts beyond Bollinger Bands, while filtering trades based on market volatility conditions.
🔹 ENTRY SIGNALS
- Long Entry: Price closes above the upper Bollinger Band + volatility conditions met
- Short Entry: Price closes below the lower Bollinger Band + volatility conditions met
🔹 EXIT SIGNALS
- Exit positions when price returns to the middle band (20-period SMA)
🔹 VOLATILITY FILTER
- Only trades when ATR is within acceptable range vs. historical median volatility
- Avoids trading in extremely low or excessively high volatility environments
- Helps reduce false signals during choppy, range-bound markets
🔹 KEY PARAMETERS
- Bollinger Band Period: 20 (customizable)
- Bollinger Band Multiplier: 2.0 (customizable)
- ATR Length: 20
- Volatility Lookback: 50 periods
- Volatility Range: 0.80 to 2.00 of median
🔹 STRATEGY CHARACTERISTICS
- Timeframe: Long-term (holds positions for extended periods)
- Trade Frequency: 3-4 trades per market annually
- Philosophy: Cut losses short, let profits run
- Best suited for: Trending markets across commodities, futures, and indices
⚠️ RISK DISCLAIMER
This strategy is for educational purposes only. Past performance does not guarantee future results. Always perform your own backtesting and risk assessment before live trading.
📊 VISUALIZATION
- Blue lines: Upper and lower Bollinger Bands
- Orange line: Middle band (basis/SMA)
- Green triangles: Long entry signals
- Red triangles: Short entry signals
- Yellow crosses: Exit signals
A legendary long-term trend-following system originally developed by Keith Fitschen in 1986, designed to capture major market trends using Bollinger Bands and volatility filtering.
🔹 STRATEGY OVERVIEW
This mechanical system identifies trend reversals by detecting price breakouts beyond Bollinger Bands, while filtering trades based on market volatility conditions.
🔹 ENTRY SIGNALS
- Long Entry: Price closes above the upper Bollinger Band + volatility conditions met
- Short Entry: Price closes below the lower Bollinger Band + volatility conditions met
🔹 EXIT SIGNALS
- Exit positions when price returns to the middle band (20-period SMA)
🔹 VOLATILITY FILTER
- Only trades when ATR is within acceptable range vs. historical median volatility
- Avoids trading in extremely low or excessively high volatility environments
- Helps reduce false signals during choppy, range-bound markets
🔹 KEY PARAMETERS
- Bollinger Band Period: 20 (customizable)
- Bollinger Band Multiplier: 2.0 (customizable)
- ATR Length: 20
- Volatility Lookback: 50 periods
- Volatility Range: 0.80 to 2.00 of median
🔹 STRATEGY CHARACTERISTICS
- Timeframe: Long-term (holds positions for extended periods)
- Trade Frequency: 3-4 trades per market annually
- Philosophy: Cut losses short, let profits run
- Best suited for: Trending markets across commodities, futures, and indices
⚠️ RISK DISCLAIMER
This strategy is for educational purposes only. Past performance does not guarantee future results. Always perform your own backtesting and risk assessment before live trading.
📊 VISUALIZATION
- Blue lines: Upper and lower Bollinger Bands
- Orange line: Middle band (basis/SMA)
- Green triangles: Long entry signals
- Red triangles: Short entry signals
- Yellow crosses: Exit signals
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.