StockSharp.Strategies.0172_Bollinger_Williams_R.py

Bollinger Williams R Strategy (Python Version)

Strategy based on Bollinger Bands and Williams %R indicators. Enters long when price is at lower band and Williams %R is oversold (< -80) Enters short when price is at upper band and Williams %R is overbought (> -20)

Testing indicates an average annual return of about 103%. It performs best in the stocks market.

Bollinger bands expose volatility breakouts and Williams %R ensures momentum is extreme. Positions open when price closes outside a band with a matching Williams %R reading.

Best for volatility expansion traders. ATR stops handle adverse turns.

Details

• Entry Criteria:
  • Long: Close < LowerBand && WilliamsR < -80
  • Short: Close > UpperBand && WilliamsR > -20
• Long/Short: Both
• Exit Criteria: Price returns to middle band
• Stops: ATR-based using AtrMultiplier
• Default Values:
  • BollingerPeriod = 20
  • BollingerDeviation = 2.0m
  • WilliamsRPeriod = 14
  • AtrPeriod = 14
  • AtrMultiplier = 2.0m
  • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
• Filters:
  • Category: Mean reversion
  • Direction: Both
  • Indicators: Bollinger Bands, Williams %R, R
  • Stops: Yes
  • Complexity: Intermediate
  • Timeframe: Mid-term
  • Seasonality: No
  • Neural Networks: No
  • Divergence: No
  • Risk Level: Medium