VWAP Williams R Strategy (Python)

The VWAP Williams %R strategy focuses on intraday reversion around the Volume Weighted Average Price. It observes when price drifts away from VWAP while the Williams %R oscillator reaches oversold or ...

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NuGet 5.0.1 Install-Package StockSharp.Strategies.0201_VWAP_Williams_R.py -Version 5.0.1
VWAP Williams R Strategy (Python)

The VWAP Williams %R strategy focuses on intraday reversion around the Volume Weighted Average Price. It observes when price drifts away from VWAP while the Williams %R oscillator reaches oversold or overbought territory. The assumption is that extreme readings near VWAP often lead to a snapback toward the mean. When the oscillator drops below -80 and price trades under VWAP, the setup implies selling pressure is fading and a rebound may follow. Conversely, a reading above -20 while price is positioned above VWAP warns that buyers are exhausted and a pullback is likely. The strategy opens trades in the direction of a potential return to VWAP and watches for that move to complete. This approach fits active intraday traders who prefer frequent mean reversion opportunities. A small stop‑loss relative to VWAP keeps risk contained while still allowing enough room for price to fluctuate before reversing.

  • Entry Criteria:

  • Long: Price < VWAP && Williams %R < -80 (oversold below VWAP)

  • Short: Price > VWAP && Williams %R > -20 (overbought above VWAP) []Long/Short: Both sides. []Exit Criteria:

  • Long: Exit long position when price breaks above VWAP

  • Short: Exit short position when price breaks below VWAP []Stops: Yes. []Default Values:

  • WilliamsRPeriod = 14

  • StopLossPercent = 2m

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

  • Category: Mixed

  • Direction: Both

  • Indicators: VWAP Williams R

  • Stops: Yes

  • Complexity: Intermediate

  • Timeframe: Intraday

  • Seasonality: No

  • Neural networks: No

  • Divergence: No

  • Risk Level: Medium

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