此脚本是@borserman的HMA指标脚本的修改版本。 EHMA的所有功劳都归他所有:)
除了EHMA之外,该脚本还可以在EHMA周围的范围内工作(可以修改),以抵抗虚假信号。很多时候,一个K线BAR的收盘价会低于移动平均线,而下一个K线BAR的收盘价又会反转,这会吞噬你的利润。尤其是在较短的时间段上,但在波动较大的较长时间段上,这可能会使策略不具吸引力。
在EHMA附近的范围内,只有当一根K线BAR越过上限时,该策略才会进入多头/空头位置。反之亦然,只有当一根K线BAR穿过较低范围时,它才会进入短/出口长位置。这避免了在EHMA范围内波动的酒吧头寸&只有在市场对其方向有信心的情况下才进入头寸。尽管如此,伪造仍然是可能的,但频率要低得多。与常规EHMA策略相比,该策略进行了回溯测试(并对各种设置进行了实验),该版本似乎更加稳健和有利可图!
免责声明 请记住,过去的表现可能并不代表未来的结果。 由于各种因素,包括不断变化的市场条件,该策略的表现可能不再像历史回溯测试那样好。 这篇文章和脚本没有提供任何财务建议。
回测测试
/*backtest start: 2021-12-01 00:00:00 end: 2022-05-30 00:00:00 period: 5m basePeriod: 1m exchanges: [{"eid":"Futures_CTP","currency":"FUTURES"}] args: [["ContractType","hc2210",360008]] */ // Credit is due where credit is due: // Hull Moving Average: developed by Alan Hull // EHMA: coded by Twitter @borserman // I've built on their work in an attempt to create a strategy more robust to fake moves // @0xLetoII //@version=4 //strategy( // title="EHMA Range Strategy", // process_orders_on_close=true, // explicit_plot_zorder=true, // overlay=true, // initial_capital=1500, // default_qty_type=strategy.percent_of_equity, // commission_type=strategy.commission.percent, // commission_value=0.085, // default_qty_value=100 // ) // Position Type pos_type = input(defval = "Both", title="持仓设置", options=["Both", "Long", "Short"]) // Inputs Period = input(defval=300, title="周期") RangeWidth = input(defval=0.02, step=0.01, title="范围宽度") sqrtPeriod = sqrt(Period) // Function for the Borserman EMA borserman_ema(x, y) => alpha = 2 / (y + 1) sum = 0.0 sum := alpha * x + (1 - alpha) * nz(sum[1]) // Calculate the Exponential Hull Moving Average EHMA = borserman_ema(2 * borserman_ema(close, Period / 2) - borserman_ema(close, Period), sqrtPeriod) // Create upper & lower bounds around the EHMA for broader entries & exits upper = EHMA + (EHMA * RangeWidth) lower = EHMA - (EHMA * RangeWidth) // Plots EHMAcolor = (close > EHMA ? color.green : color.red) plot(EHMA, color=EHMAcolor, linewidth=2) plot(lower, color=color.orange, linewidth=2) plot(upper, color=color.blue, linewidth=2) // Strategy long = close > upper exit_long = close < lower short = close < lower exit_short = close > upper // Calculate start/end date and time condition //startDate = input(timestamp("2017-01-01T00:00:00")) //finishDate = input(timestamp("2029-01-01T00:00:00")) time_cond = true // Entries & Exits if pos_type == "Both" strategy.entry("Long", strategy.long, comment="Long", when=long and time_cond) strategy.close("Long", comment="Exit Long", when=exit_long and time_cond) strategy.entry("Short", strategy.short, comment="Short", when=short and time_cond) strategy.close("Short", comment="Exit Short", when=exit_short and time_cond) if pos_type == "Long" strategy.entry("Long", strategy.long, comment="Long", when=long and time_cond) strategy.close("Long", comment="Exit Long", when=exit_long and time_cond) if pos_type == "Short" strategy.entry("Short", strategy.short, comment="Short", when=short and time_cond) strategy.close("Short", comment="Exit Short", when=exit_short and time_cond)template: strategy.tpl:40:21: executing "strategy.tpl" at <.api.GetStrategyListByName>: wrong number of args for GetStrategyListByName: want 7 got 6