Esta estrategia utiliza múltiples promedios móviles (MA) como las señales comerciales principales e incorpora el índice direccional promedio (ADX) como un filtro. La idea principal detrás de la estrategia es identificar oportunidades potenciales largas y cortas comparando las relaciones entre el MA rápido, el MA lento y el MA promedio. Al mismo tiempo, el indicador ADX se utiliza para filtrar entornos de mercado con suficiente fuerza de tendencia, mejorando la confiabilidad de las señales comerciales.
La estrategia de rechazo de MA con filtro ADX utiliza múltiples MA y el indicador ADX para identificar oportunidades comerciales potenciales y filtrar señales comerciales de baja calidad. La lógica de la estrategia es clara y fácil de entender e implementar.
/*backtest start: 2024-04-01 00:00:00 end: 2024-04-30 23:59:59 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © gavinc745 //@version=5 strategy("MA Rejection Strategy with ADX Filter", overlay=true) // Input parameters fastMALength = input.int(10, title="Fast MA Length", minval=1) slowMALength = input.int(50, title="Slow MA Length", minval=1) averageMALength = input.int(20, title="Average MA Length", minval=1) adxLength = input.int(14, title="ADX Length", minval=1) adxThreshold = input.int(20, title="ADX Threshold", minval=1) // Calculate moving averages fastMA = ta.wma(close, fastMALength) slowMA = ta.wma(close, slowMALength) averageMA = ta.wma(close, averageMALength) // Calculate ADX manually dmPlus = high - high[1] dmMinus = low[1] - low trueRange = ta.tr dmPlusSmoothed = ta.wma(dmPlus > 0 and dmPlus > dmMinus ? dmPlus : 0, adxLength) dmMinusSmoothed = ta.wma(dmMinus > 0 and dmMinus > dmPlus ? dmMinus : 0, adxLength) trSmoothed = ta.wma(trueRange, adxLength) diPlus = dmPlusSmoothed / trSmoothed * 100 diMinus = dmMinusSmoothed / trSmoothed * 100 adx = ta.wma(math.abs(diPlus - diMinus) / (diPlus + diMinus) * 100, adxLength) // Identify potential levels potentialLongLevel = low < slowMA and close > slowMA potentialShortLevel = high > slowMA and close < slowMA // Confirm levels confirmedLongLevel = potentialLongLevel and close > fastMA confirmedShortLevel = potentialShortLevel and close < fastMA // Entry signals longEntry = confirmedLongLevel and ta.crossover(fastMA, averageMA) and adx > adxThreshold shortEntry = confirmedShortLevel and ta.crossunder(fastMA, averageMA) and adx > adxThreshold // Exit signals longExit = ta.crossunder(close, slowMA) shortExit = ta.crossover(close, slowMA) // Plot signals plotshape(longEntry, title="Long Entry", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.green) plotshape(shortEntry, title="Short Entry", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red) // Plot moving averages and ADX plot(fastMA, title="Fast MA", color=color.blue) plot(slowMA, title="Slow MA", color=color.red) plot(averageMA, title="Average MA", color=color.orange) // plot(adx, title="ADX", color=color.purple) // hline(adxThreshold, title="ADX Threshold", color=color.gray, linestyle=hline.style_dashed) // Execute trades if longEntry strategy.entry("Long", strategy.long) else if longExit strategy.close("Long") if shortEntry strategy.entry("Short", strategy.short) else if shortExit strategy.close("Short")