Diese Strategie verwendet einen Mechanismus für dynamisches Backtesting in mehreren Zeitrahmen, um die Preisentwicklung zu ermitteln, indem die höchsten und niedrigsten Preise in verschiedenen Zeiträumen verglichen werden, wodurch eine risikoarme Arbitrage erzielt wird.
Die Strategie holt den höchsten Preis (nhigh) und den niedrigsten Preis (nlow) in verschiedenen Zeitrahmen ab, indem sie die benutzerdefinierte Funktion f_get_htfHighLow aufruft.
Zum Beispiel erhält ein Offset von 0 die höchsten und niedrigsten Preise der aktuellen Bar ab, während ein Offset von 1 diese Preise aus der vorherigen Bar abruft.
Wenn sowohl die höchsten als auch die niedrigsten Preise steigen, wird ein Aufwärtstrend identifiziert. Wenn beide Preise fallen, wird ein Bärentrend beobachtet.
Lösungen:
Die Strategielogik ist klar, wobei dynamisches Backtesting für mehrere Zeitrahmen verwendet wird, um Trends zu bestimmen und menschliche Verzerrungen zu minimieren.
/*backtest start: 2022-11-14 00:00:00 end: 2023-11-20 00:00:00 period: 1d basePeriod: 1h 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/ // © HeWhoMustNotBeNamed //@version=4 strategy("HTF High/Low Repaint Strategy", overlay=true, initial_capital = 20000, default_qty_type = strategy.percent_of_equity, default_qty_value = 100, commission_type = strategy.commission.percent, pyramiding = 1, commission_value = 0.01) i_startTime = input(defval = timestamp("01 Jan 2010 00:00 +0000"), title = "Start Time", type = input.time) i_endTime = input(defval = timestamp("01 Jan 2099 00:00 +0000"), title = "End Time", type = input.time) inDateRange = true resolution = input("3M", type=input.resolution) HTFMultiplier = input(22, minval=1, step=1) offset = input(0, minval=0, step=1) lookahead = input(true) gaps = false f_secureSecurity_on_on(_symbol, _res, _src, _offset) => security(_symbol, _res, _src[_offset], lookahead = barmerge.lookahead_on, gaps=barmerge.gaps_on) f_secureSecurity_on_off(_symbol, _res, _src, _offset) => security(_symbol, _res, _src[_offset], lookahead = barmerge.lookahead_on, gaps=barmerge.gaps_off) f_secureSecurity_off_on(_symbol, _res, _src, _offset) => security(_symbol, _res, _src[_offset], lookahead = barmerge.lookahead_off, gaps=barmerge.gaps_on) f_secureSecurity_off_off(_symbol, _res, _src, _offset) => security(_symbol, _res, _src[_offset], lookahead = barmerge.lookahead_off, gaps=barmerge.gaps_off) f_multiple_resolution(HTFMultiplier) => target_Res_In_Min = timeframe.multiplier * HTFMultiplier * ( timeframe.isseconds ? 1. / 60. : timeframe.isminutes ? 1. : timeframe.isdaily ? 1440. : timeframe.isweekly ? 7. * 24. * 60. : timeframe.ismonthly ? 30.417 * 24. * 60. : na) target_Res_In_Min <= 0.0417 ? "1S" : target_Res_In_Min <= 0.167 ? "5S" : target_Res_In_Min <= 0.376 ? "15S" : target_Res_In_Min <= 0.751 ? "30S" : target_Res_In_Min <= 1440 ? tostring(round(target_Res_In_Min)) : tostring(round(min(target_Res_In_Min / 1440, 365))) + "D" f_get_htfHighLow(resolution, HTFMultiplier, lookahead, gaps, offset)=> derivedResolution = resolution == ""?f_multiple_resolution(HTFMultiplier):resolution nhigh_on_on = f_secureSecurity_on_on(syminfo.tickerid, derivedResolution, high, offset) nlow_on_on = f_secureSecurity_on_on(syminfo.tickerid, derivedResolution, low, offset) nhigh_on_off = f_secureSecurity_on_off(syminfo.tickerid, derivedResolution, high, offset) nlow_on_off = f_secureSecurity_on_off(syminfo.tickerid, derivedResolution, low, offset) nhigh_off_on = f_secureSecurity_off_on(syminfo.tickerid, derivedResolution, high, offset) nlow_off_on = f_secureSecurity_off_on(syminfo.tickerid, derivedResolution, low, offset) nhigh_off_off = f_secureSecurity_off_off(syminfo.tickerid, derivedResolution, high, offset) nlow_off_off = f_secureSecurity_off_off(syminfo.tickerid, derivedResolution, low, offset) nhigh = lookahead and gaps ? nhigh_on_on : lookahead and not gaps ? nhigh_on_off : not lookahead and gaps ? nhigh_off_on : not lookahead and not gaps ? nhigh_off_off : na nlow = lookahead and gaps ? nlow_on_on : lookahead and not gaps ? nlow_on_off : not lookahead and gaps ? nlow_off_on : not lookahead and not gaps ? nlow_off_off : na [nhigh, nlow] [nhigh, nlow] = f_get_htfHighLow(resolution, HTFMultiplier, lookahead, gaps, offset) [nhighlast, nlowlast] = f_get_htfHighLow(resolution, HTFMultiplier, lookahead, gaps, offset+1) plot(nhigh , title="HTF High",style=plot.style_circles, color=color.green, linewidth=1) plot(nlow , title="HTF Low",style=plot.style_circles, color=color.red, linewidth=1) buyCondition = nhigh > nhighlast and nlow > nlowlast sellCondition = nhigh < nhighlast and nlow < nlowlast strategy.entry("Buy", strategy.long, when= buyCondition and inDateRange, oca_name="oca_buy") strategy.entry("Sell", strategy.short, when= sellCondition and inDateRange, oca_name="oca_sell")