StockSharp.Strategies.0163_RSI_Williams_R.py

Rsi Williams R Strategy (Python Version)

Implementation of strategy - RSI + Williams %R. Buy when RSI is below 30 and Williams %R is below -80 (double oversold condition). Sell when RSI is above 70 and Williams %R is above -20 (double overbought condition).

Testing indicates an average annual return of about 76%. It performs best in the forex market.

RSI outlines the overall momentum, while Williams %R gives a quicker signal of reversal. Trades act on agreement between the two oscillators.

Good for active traders chasing short swings. ATR-based stops are employed.

Details

• Entry Criteria:
  • Long: RSI < RsiOversold && WilliamsR < WilliamsROversold
  • Short: RSI > RsiOverbought && WilliamsR > WilliamsROverbought
• Long/Short: Both
• Exit Criteria:
  • RSI returns to neutral zone
• Stops: Percent-based using StopLoss
• Default Values:
  • RsiPeriod = 14
  • RsiOversold = 30m
  • RsiOverbought = 70m
  • WilliamsRPeriod = 14
  • WilliamsROversold = -80m
  • WilliamsROverbought = -20m
  • StopLoss = new Unit(2, UnitTypes.Percent)
  • CandleType = TimeSpan.FromMinutes(5).TimeFrame()
• Filters:
  • Category: Mean reversion
  • Direction: Both
  • Indicators: RSI, Williams %R, R
  • Stops: Yes
  • Complexity: Intermediate
  • Timeframe: Mid-term
  • Seasonality: No
  • Neural Networks: No
  • Divergence: No
  • Risk Level: Medium