This strategy utilizes multiple moving averages (MA) as the primary trading signals and incorporates the Average Directional Index (ADX) as a filter. The main idea behind the strategy is to identify potential long and short opportunities by comparing the relationships between the fast MA, slow MA, and average MA. Simultaneously, the ADX indicator is used to filter out market environments with sufficient trend strength, enhancing the reliability of trading signals.
The MA Rejection Strategy with ADX Filter utilizes multiple MAs and the ADX indicator to identify potential trading opportunities and filter out low-quality trading signals. The strategy logic is clear and easy to understand and implement. However, when applying the strategy in practice, it is essential to consider market environment changes and combine other technical indicators and risk management measures for optimization.
/*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")