Williams R Breakout Strategy (Python)

This strategy seeks momentum bursts by watching Williams %R relative to its historical average. When the oscillator pushes far beyond typical readings, it may signal the start of a strong move. A long...

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NuGet 5.0.1 Install-Package StockSharp.Strategies.0250_Williams_R_Breakout.py -Version 5.0.1
Williams R Breakout Strategy (Python)

This strategy seeks momentum bursts by watching Williams %R relative to its historical average. When the oscillator pushes far beyond typical readings, it may signal the start of a strong move. A long position is opened when %R climbs above the average plus Multiplier times an estimated standard deviation. A short position is taken when %R drops below the average minus the same multiplier. The trade closes once %R returns toward its average or a stop-loss is hit. The approach caters to breakout traders who want early participation in emerging trends. Position risk is managed with a percentage stop based on the entry price.

  • Entry Criteria:

  • Long: %R > Avg + Multiplier * StdDev

  • Short: %R < Avg - Multiplier * StdDev []Long/Short: Both sides. []Exit Criteria:

  • Long: Exit when %R < Avg

  • Short: Exit when %R > Avg []Stops: Yes, percent stop-loss. []Default Values:

  • WilliamsRPeriod = 14

  • AvgPeriod = 20

  • Multiplier = 2.0m

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

  • Category: Breakout

  • Direction: Both

  • Indicators: Williams %R

  • Stops: Yes

  • Complexity: Intermediate

  • Timeframe: Intraday

  • Seasonality: No

  • Neural networks: No

  • Divergence: No

  • Risk Level: Medium

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