The Peanut 123 Reversal and Breakout Range Short-term Trading Strategy is a combination strategy that incorporates the signals from a reversal strategy and a breakout strategy sub-strategies to generate more powerful trading signals.
The strategy consists of two sub-strategies:
Peanut 123 Reversal Strategy
It is an adapted reversal strategy based on the system introduced on P183 of Ulf Jensen’s book. It goes long when the close price rises for 2 consecutive days and the 9-day Stochastic Slow line is below 50; It goes short when the close price falls for 2 consecutive days and the 9-day Stochastic Fast line is above 50.
Breakout Range Short Strategy
It is a short-term strategy that uses the breakout of the lowest price in a certain look_bak period as the signal. It goes short when the price breaks below the lowest low in the look_bak period.
The combination strategy takes into account the signals from both sub-strategies. It generates actual trading signals only when the two sub-strategies give signals in the same direction. No trading signals will be generated if the two sub-strategies give opposite signals.
The strategy combines the advantages of both reversal and breakout sub-strategies and considers more factors. It can filter out some noise trades and improve win rate.
The reversal strategy captures short-term reversal opportunities and makes profit during fluctuations.
The breakout strategy catches the short-term trend after the breakout.
By combining the signals of two sub-strategies, more effective trading signals can be generated and noise can be filtered out.
The strategy also has the following risks:
Reversals may not happen, there are risks of failed reversals.
Breakouts can also be false breakouts, there are risks of chasing highs and lows.
Neither of the sub-strategies can ensure effectiveness when used alone, combining them may also fail.
To address these risks, methods like optimizing parameters, adjusting the weighting of sub-strategies, choosing different products for arbitrage can be used to reduce risks.
There is room for further optimization of the strategy:
Optimize the parameters of the two sub-strategies to better adapt to different cycles and different products.
Increase other types of sub-strategies, such as machine learning prediction strategies, to incorporate more factors.
Dynamically adjust the weighting of the two sub-strategies to give more weight to the better-performed one in different market environments.
Conduct combination arbitrage by selecting products with little correlation but certain commonality.
The Peanut 123 Reversal and Breakout Range Short-term Trading Strategy integrates the reversal and breakout sub-strategies at the strategy level. To some extent, it combines the advantages of the two sub-strategies while having space for further optimization. It provides new ideas for strategy design - conducting integration and combination at the strategy level while preserving the independence of sub-strategies, in order to discover more effective trading opportunities.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 01/07/2019 // 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 // Breakout Range Short Strategy // // 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 BreakoutRangeShort(look_bak) => pos = 0 xLowest = lowest(low, look_bak) pos := iff(low < xLowest[1], -1, 0) pos strategy(title="Combo Backtest 123 Reversal & Breakout Range Short", shorttitle="Combo", overlay = true) Length = input(14, minval=1) KSmoothing = input(1, minval=1) DLength = input(3, minval=1) Level = input(50, minval=1) //------------------------- look_bak = input(4, minval=1, title="Look Bak") reverse = input(false, title="Trade reverse") posReversal123 = Reversal123(Length, KSmoothing, DLength, Level) posBreakoutRangeShort = BreakoutRangeShort(look_bak) pos = iff(posReversal123 == 1 and posBreakoutRangeShort == 1 , 1, iff(posReversal123 == -1 and posBreakoutRangeShort == -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 ? color.red: possig == 1 ? color.green : color.blue )template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6