Ma Williams R Strategy (Python)

Implementation of strategy - MA + Williams %R. Buy when price is above MA and Williams %R is below -80 (oversold). Sell when price is below MA and Williams %R is above -20 (overbought). The moving average shows the prevailing trend direction. Williams %R looks for overbought or oversold points relative to that trend. Fits swing traders waiting for pullbacks toward the average. Stop-loss distance comes from ATR.

• Entry Criteria:

• Long: Close > MA && WilliamsR < WilliamsROversold

• Short: Close < MA && WilliamsR > WilliamsROverbought []Long/Short: Both []Exit Criteria:

• Williams %R returns to middle []Stops: Percent-based using StopLoss []Default Values:

• MaPeriod = 20

• MaType = MovingAverageTypeEnum.Simple

• WilliamsRPeriod = 14

• WilliamsROversold = -80m

• WilliamsROverbought = -20m

• StopLoss = new Unit(2, UnitTypes.Percent)

• CandleType = TimeSpan.FromMinutes(5).TimeFrame() [*]Filters:

• Category: Mean reversion

• Direction: Both

• Indicators: Moving Average, Williams %R, R

• Stops: Yes

• Complexity: Intermediate

• Timeframe: Mid-term

• Seasonality: No

• Neural Networks: No

• Divergence: No

• Risk Level: Medium