Strategi ini mengira purata bergerak (MA) dari tempoh yang berbeza untuk menentukan arah trend pasaran.
Strategi ini mempunyai logik yang jelas menggunakan MAs untuk menentukan trend. Selepas pengoptimuman parameter dan pengoptimuman penunjuk, ia boleh menjadi strategi trend yang sangat praktikal.
/*backtest start: 2023-02-15 00:00:00 end: 2024-02-21 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy("MA60上多下空", overlay=true) // 计算MA20/60/120 ma20 = ta.sma(close, 20) ma60 = ta.sma(close, 60) ma120 = ta.sma(close, 120) // 判断MA的趋势 maUpTrend = ma20 > ma60 and ma60 > ma120 maDownTrend = ma20 < ma60 and ma60 < ma120 // 画竖直线标记MA趋势转折点 plotshape(maUpTrend and ta.crossover(ma20, ma60), style=shape.triangledown, location=location.abovebar, color=color.green, size=size.small) plotshape(maDownTrend and ta.crossunder(ma20, ma60), style=shape.triangleup, location=location.belowbar, color=color.red, size=size.small) // 画背景标记MA趋势 bgcolor(maUpTrend ? color.new(color.green, 90) : na) bgcolor(maDownTrend ? color.new(color.red, 90) : na) // 建立多头仓位的条件 longCondition = ta.crossover(close, ma60) // 建立空头仓位的条件 shortCondition = ta.crossunder(close, ma60) // 在穿过MA60时,根据条件建立相应的多头或空头仓位 if (longCondition) strategy.entry("Long", strategy.long) if (shortCondition) strategy.entry("Short", strategy.short) // 止盈止损规则 calculateReturns() => close / strategy.position_avg_price - 1 takeProfitCondition = calculateReturns() >= 3 // 仓位盈利达到300% stopLossCondition = calculateReturns() <= -0.1 // 仓位亏损达到10% if (takeProfitCondition) strategy.close("Long", comment="Take Profit") strategy.close("Short", comment="Take Profit") if (stopLossCondition) strategy.close("Long", comment="Stop Loss") strategy.close("Short", comment="Stop Loss")