This strategy combines the strengths of double mechanism indicators by using 123 pattern to determine reversal signals, and aided by Price Volume Index to determine momentum signals, in order to capture short-term reversal trends.
123 pattern for reversal signal
Constructed with 9-day Stoch fast line and slow line
When close price falls for 2 consecutive days and rises on the 3rd day, and Stoch fast line is below 50, a buy signal is generated
When close price rises for 2 consecutive days and falls on the 3rd day, and Stoch fast line is above 50, a sell signal is generated
Price Volume Index for momentum signal
PVI judges momentum by comparing volume change between previous and current day
When PVI crosses above its N-day moving average, momentum amplifies and a buy signal is generated
When PVI crosses below its N-day moving average, momentum declines and a sell signal is generated
Dual signal combination
In summary, this strategy leverages the advantage of dual mechanism indicators to effectively identify short-term price-volume reversal opportunities.
123 pattern catches key short-term reversal spots
PVI momentum judges coordinated price-volume action to avoid false breakouts
Parameter optimized Stoch filters out most noise signals in turbulent zones
Dual signal reliability higher than single signals
Intraday design avoids overnight risks suitable for short-term trading
Failed reversal risk
Indicator failure risks
Dual signal miss risk
High trading frequency risks
Large parameter optimization space
Can incorporate stop loss strategies
Consider adding filter conditions
Optimize dual signal portfolio
This strategy forms a high-reliability short-term price-volume reversal system through the combination of Stoch and PVI indicators. Compared to single indicators, it has higher win rate and positive expectancy. Sharpe ratio can be further improved via optimization and risk control. In conclusion, this strategy leverages the strengths of dual mechanism indicators to effectively capture short-term reversal opportunities in the market, and is worth live testing and optimization.
/*backtest start: 2023-12-01 00:00:00 end: 2023-12-31 23:59:59 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=4 //////////////////////////////////////////////////////////// // Copyright by HPotter v1.0 22/04/2021 // 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 // The theory behind the indexes is as follows: On days of increasing volume, // you can expect prices to increase, and on days of decreasing volume, you can // expect prices to decrease. This goes with the idea of the market being in-gear // and out-of-gear. Both PVI and NVI work in similar fashions: Both are a running // cumulative of values, which means you either keep adding or subtracting price // rate of change each day to the previous day`s sum. In the case of PVI, if today`s // volume is less than yesterday`s, don`t add anything; if today`s volume is greater, // then add today`s price rate of change. For NVI, add today`s price rate of change // only if today`s volume is less than yesterday`s. // // 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 PVI(EMA_Len) => pos = 0.0 xROC = roc(close, 1) nRes = 0.0 nResEMA = 0.0 nRes := iff(volume > volume[1], nz(nRes[1], 0) + xROC, nz(nRes[1], 0)) nResEMA := ema(nRes, EMA_Len) pos := iff(nRes > nResEMA, 1, iff(nRes < nResEMA, -1, nz(pos[1], 0))) pos strategy(title="Combo Backtest 123 Reversal & Positive Volume Index", shorttitle="Combo", overlay = true) line1 = input(true, "---- 123 Reversal ----") Length = input(14, minval=1) KSmoothing = input(1, minval=1) DLength = input(3, minval=1) Level = input(50, minval=1) //------------------------- line2 = input(true, "---- Positive Volume Index ----") EMA_Len = input(255, minval=1) reverse = input(false, title="Trade reverse") posReversal123 = Reversal123(Length, KSmoothing, DLength, Level) posPVI = PVI(EMA_Len) pos = iff(posReversal123 == 1 and posPVI == 1 , 1, iff(posReversal123 == -1 and posPVI == -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 )