Bollinger Reversion (Python)

by StockSharp

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...

491 Downloads
☆☆☆☆☆ Rating
0 Reviews
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 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 = 20
    • BollingerDeviation = 2m
    • AtrMultiplier = 2m
    • CandleType = 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

User Reviews

Login to write a review

No reviews yet