This article introduces a quantitative trading strategy that combines the dual moving average strategy and stochastic indicator. The strategy utilizes the trend following capability of moving averages and the overbought-oversold characteristic of stochastic to generate trading signals.
The strategy consists of two parts:
Dual Moving Average Strategy
Using fast and slow moving averages to generate golden cross buy signals and dead cross sell signals. The fast moving average can capture price trend changes faster, while the slow one filters out fake signals.
Stochastic Indicator
Utilizing the oscillation feature of stochastic to identify overbought and oversold situations. A stochastic higher than the slow line indicates an overbought signal, while a stochastic lower than the slow line indicates an oversold signal.
The signals from both parts are combined to form the final trading signals. The dual moving average strategy tracks the main trend, while stochastic assists in avoiding unfavorable market conditions.
Risks can be reduced by optimizing parameter combinations and adding stop loss to control losses.
The strategy can be optimized in the following aspects:
This strategy combines the advantages of dual moving averages and stochastic. While tracking the main market trend, it avoids unfavorable reversals. Better strategy results can be obtained through parameter optimization. Adding stops and trend filters can make the strategy more robust.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 4h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 24/11/2020 // This is combo strategies for get a cumulative signal. // // First strategy // This System was created from the Book "How I Tripled My Money In The // Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. // The strategy buys at market, if close price is higher than the previous close // during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. // The strategy sells at market, if close price is lower than the previous close price // during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. // // Second strategy // As the name suggests, High low bands are two bands surrounding the underlying’s // price. These bands are generated from the triangular moving averages calculated // from the underlying’s price. The triangular moving average is, in turn, shifted // up and down by a fixed percentage. The bands, thus formed, are termed as High // low bands. The main theme and concept of High low bands is based upon the triangular // moving average. // // WARNING: // - For purpose educate only // - This script to change bars colors. //////////////////////////////////////////////////////////// Reversal123(Length, KSmoothing, DLength, Level) => vFast = sma(stoch(close, high, low, Length), KSmoothing) vSlow = sma(vFast, DLength) pos = 0.0 pos := iff(close[2] < close[1] and close > close[1] and vFast < vSlow and vFast > Level, 1, iff(close[2] > close[1] and close < close[1] and vFast > vSlow and vFast < Level, -1, nz(pos[1], 0))) pos HLB(Length, PercentShift) => pos = 0.0 xTMA = sma(sma(close, Length), Length) xHighBand = xTMA + (xTMA * PercentShift / 100) xLowBand = xTMA - (xTMA * PercentShift / 100) pos :=iff(close > xHighBand, 1, iff(close <xLowBand, -1, nz(pos[1], 0))) pos strategy(title="Combo Backtest 123 Reversal & High Low Bands", shorttitle="Combo", overlay = true) Length = input(14, minval=1) KSmoothing = input(1, minval=1) DLength = input(3, minval=1) Level = input(50, minval=1) //------------------------- Length_HLB = input(14, minval=1) PercentShift = input(1, minval = 0.01, step = 0.01) reverse = input(false, title="Trade reverse") posReversal123 = Reversal123(Length, KSmoothing, DLength, Level) posHLB = HLB(Length_HLB, PercentShift) pos = iff(posReversal123 == 1 and posHLB == 1 , 1, iff(posReversal123 == -1 and posHLB == -1, -1, 0)) possig = iff(reverse and pos == 1, -1, iff(reverse and pos == -1 , 1, pos)) if (possig == 1) strategy.entry("Long", strategy.long) if (possig == -1) strategy.entry("Short", strategy.short) if (possig == 0) strategy.close_all() barcolor(possig == -1 ? #b50404: possig == 1 ? #079605 : #0536b3 )template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6