Hull Ma Stochastic Strategy (C#)
Hull Ma Stochastic Strategy Hull Moving Average + Stochastic Oscillator strategy. Strategy enters when HMA trend direction changes with Stochastic confirming oversold/overbought conditions. Testing in...
Hull Ma Stochastic Strategy
Hull Moving Average + Stochastic Oscillator strategy. Strategy enters when HMA trend direction changes with Stochastic confirming oversold/overbought conditions.
Testing indicates an average annual return of about 94%. It performs best in the stocks market.
Hull MA quickly reveals trend direction. Stochastic waits for a dip or rally within that trend to trigger the trade.
A flexible approach for those wanting smooth signals. ATR-based stops cap potential loss.
Details
- Entry Criteria:
- Long:
HullMA turning up && StochK < StochOversold - Short:
HullMA turning down && StochK > StochOverbought
- Long:
- Long/Short: Both
- Exit Criteria:
- Hull MA change of direction
- Stops: ATR-based using
StopLossAtr - Default Values:
HmaPeriod= 9StochPeriod= 14StochK= 3StochOversold= 20StochOverbought= 80CandleType= TimeSpan.FromMinutes(5).TimeFrame()StopLossAtr= 2AtrPeriod= 14 The Hull average turns up when it rises after falling and turns down when it falls after rising; a long closes when it falls and a short when it rises. %K is the stochastic over StochPeriod candles smoothed over StochK candles, and %D plays no part. The stop lies StopLossAtr ATRs (AtrPeriod) from the entry close and is checked on candle closes. An entry signal against an open position reverses it.
- Filters:
- Category: Mean reversion
- Direction: Both
- Indicators: Hull MA, Moving Average, Stochastic Oscillator
- Stops: Yes
- Complexity: Intermediate
- Timeframe: Mid-term
- Seasonality: No
- Neural Networks: No
- Divergence: No
- Risk Level: Medium
I answer from what this page says. For anything else I will point you to the documentation.