Bollinger Reversion (Python)
Bollinger Reversion Strategy based on Bollinger Bands mean reversion Testing indicates an average annual return of about 118%. It performs best in the stocks market. Bollinger Reversion fades moves ou...
Bollinger Reversion
Strategy based on Bollinger Bands mean reversion
Testing indicates an average annual return of about 118%. It performs best in the stocks market.
Bollinger Reversion fades moves outside the Bollinger Bands. Trades open against closes beyond the bands and close once price returns inside or hits a stop.
Standard deviation bands offer a statistical view of overextension. Entering after extreme closes aims to profit from the snap back toward the middle band.
Details
- Entry Criteria: Signals based on RSI, ATR, Bollinger.
- Long/Short: Both directions.
- Exit Criteria: Opposite signal or stop.
- Stops: Yes.
- Default Values:
BollingerPeriod= 20BollingerDeviation= 2mAtrMultiplier= 2mCandleType= TimeSpan.FromMinutes(5)
- Filters:
- Category: Mean Reversion
- Direction: Both
- Indicators: RSI, ATR, Bollinger
- Stops: Yes
- Complexity: Basic
- Timeframe: Intraday (5m)
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium