本策略利用均线交叉来判断价格动量方向,辅以金叉死叉判断整体趋势,实现趋势跟踪。
该策略使用EMA和SMA两个均线的交叉来判断价格动量方向,EMA反应更快,SMA反应更稳定。当EMA上穿SMA时判断为价格上涨势头强劲,做多;当EMA下穿SMA时判断为价格下跌势头强劲,做空。
另外,该策略还使用快速周期SMA和慢速周期SMA的交叉来判断整体趋势方向。当快速SMA上穿慢速SMA时为金叉,判断为行情处于长期上涨趋势;当快速SMA下穿慢速SMA时为死叉,判断为行情处于长期下跌趋势。
策略在EMA上穿SMA时判断为做多机会。如果此时是金叉,说明做多不仅有短期动量支持,也与长期趋势一致,这是较佳的做多时机;如果此时是死叉,说明做多仅有短期动量支持,与长期趋势不一致,这是较为冒险的做多时机。
可通过结合其他指标确认信号,优化均线周期参数,或设置止损来降低风险。
本策略总体来说是一个较为稳定可靠的趋势跟踪策略。它同时考虑了短期价格动量和长期趋势方向,通过均线交叉形成交易信号。相比单一均线策略,它结合双重指标确认,可靠性较高。但作为趋势跟踪策略,它的Parameter优化和风险控制非常重要,需要反复测试调整,才能真正发挥策略效果。通过不断优化和改进,本策略可以成为一个值得长期持有的量化投资组合中的组成部分。
/*backtest start: 2023-09-19 00:00:00 end: 2023-10-19 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © Cryptoluc1d //@version=4 strategy("Equal-Length EMA/SMA Crossover Strategy", initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=25, commission_type=strategy.commission.percent, commission_value=0.2, overlay=true) // Create inputs mom_length = input(title="Momentum Length (EMA=SMA)", defval=50) bias_length_fast = input(title="Golden Cross Length (Fast)", defval=50) bias_length_slow = input(title="Golden Cross Length (Slow)", defval=100) // Define MAs ema = ema(close, mom_length) // EMA/SMA crossover of the same period for detecting trend acceleration/deceleration sma = sma(close, mom_length) bias_fast = sma(close, bias_length_fast) // golden/death cross for overall trend bias bias_slow = sma(close, bias_length_slow) // Define signal conditions buy_trend = crossover(ema, sma) and bias_fast >= bias_slow // buy when EMA cross above SMA. if this happens during a bullish golden cross, buying is in confluence with the overall trend (bias). buy_risky = crossover(ema, sma) and bias_fast < bias_slow // buy when EMA cross above SMA. if this happens during a bearish death cross, buying is early, more risky, and not in confluence with the overall trend (bias). buy_late = crossover(sma, bias_slow) and ema > sma // the SMA crossing the Slow_SMA gives further confirmation of bullish trend, but signal comes later. sell = crossunder(ema, sma) // sell when EMA cross under SMA. // Enable option to hide signals, then plot signals show_signal = input(title="Show Signals", defval=true) plotshape(show_signal ? buy_trend : na, title='Trend Buy', style=shape.triangleup, location=location.belowbar, color=color.green, text='TREND BUY') plotshape(show_signal ? buy_risky : na, title='Risky Buy', style=shape.triangleup, location=location.belowbar, color=color.olive, text='RISKY BUY') plotshape(show_signal ? buy_late : na, title='Late Buy', style=shape.triangleup, location=location.belowbar, color=color.lime, text='LATE BUY') plotshape(show_signal ? sell : na, title='Sell', style=shape.triangledown, location=location.abovebar, color=color.red, text='SELL') // Define entry and exit conditions longCondition = ema > sma and bias_fast >= bias_slow // LONG when EMA above SMA, and overall trend bias is bullish if (longCondition) strategy.entry("BUY TREND", strategy.long) exitLong = crossunder(ema, sma) // close LONG when EMA cross under SMA strategy.close("BUY TREND", when=exitLong) // // short conditions. turned off because up only. // shortCondition = ema < sma and bias_fast <= bias_slow // SHORT when EMA under SMA, and overall trend bias is bearish // if (shortCondition) // strategy.entry("SELL TREND", strategy.short) // exitShort = crossover(ema, sma) // close SHORT when EMA cross over SMA // strategy.close("SELL TREND", when=exitShort) // Enable option to show MAs, then plot MAs show_ma = input(title="Show MAs", defval=false) plot(show_ma ? ema : na, title="Momentum EMA", color=color.green, linewidth=1) plot(show_ma ? sma : na, title="Momentum SMA", color=color.yellow, linewidth=1) plot(show_ma ? bias_fast : na, title="Golden Cross SMA (Fast)", color=color.orange, linewidth=2) plot(show_ma ? bias_slow : na, title="Golden Cross SMA (Slow)", color=color.red, linewidth=2)