Rsi Williams R Strategy (Python)

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). 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.

• 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