Keltner Williams R Strategy (C#)

by StockSharp

Keltner Williams R Strategy This strategy uses Keltner Williams R indicators to generate signals. Long entry occurs when Price < lower Keltner band && Williams %R < WilliamsROversold (oversold at lowe...

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Keltner Williams R Strategy (C#)

Keltner Williams R Strategy

This strategy uses Keltner Williams R indicators to generate signals. Long entry occurs when Price < lower Keltner band && Williams %R < WilliamsROversold (oversold at lower band). Short entry occurs when Price > upper Keltner band && Williams %R > WilliamsROverbought (overbought at upper band). It is suitable for traders seeking opportunities in mixed markets.

Testing indicates an average annual return of about 46%. It performs best in the stocks market.

Details

  • Entry Criteria:
    • Long: Price < lower Keltner band && Williams %R < WilliamsROversold (oversold at lower band)
    • Short: Price > upper Keltner band && Williams %R > WilliamsROverbought (overbought at upper band)
  • Long/Short: Both sides.
  • Exit Criteria:
    • Long: Exit long position when price returns to middle band
    • Short: Exit short position when price returns to middle band
  • Stops: Yes.
  • Default Values:
    • EmaPeriod = 20
    • KeltnerMultiplier = 2m
    • AtrPeriod = 14
    • WilliamsRPeriod = 14
    • WilliamsROversold = -80
    • WilliamsROverbought = -20
    • StopLossPercent = 2 The bands are the EmaPeriod EMA plus and minus KeltnerMultiplier times the AtrPeriod ATR, and the middle band is the EMA itself. -80 and -20 are the defaults of the Williams %R levels the rules quote. The stop is a fixed StopLossPercent of the entry price, watched between candles as well. An entry signal against an open position reverses it.
    • CandleType = TimeSpan.FromMinutes(5)
  • Filters:
    • Category: Mixed
    • Direction: Both
    • Indicators: Keltner Williams R
    • Stops: Yes
    • Complexity: Intermediate
    • Timeframe: Intraday
    • Seasonality: No
    • Neural networks: No
    • Divergence: No
    • Risk Level: Medium

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