この戦略は,ショートとロングのオーバーバイトおよびオーバーセールレベルを決定するために,相対強度指数 (RSI) 指標を使用する.これは典型的なRSI逆転取引戦略である.この戦略には,パラメータ最適化,ストップ損失なども組み込まれ,異なる市場状況に適応する.
基本的な論理は以下のとおりです
RSIインジケーターは,市場条件で70以上のオーバーバイトと30未満のオーバーセールを示しています.この戦略は,市場適応のために,設定可能なパラメータにより制限,ストップロスを最適化することもできます.
緩和策
戦略は以下を通じて強化できます.
自動RSIレベル最適化のための機械学習
誤ったブレイクを避けるため 量確認
多因子確認のための移動平均値などの追加要因
市場変動に基づく適応停止
資金の流入/流出を計測するための量分析
関連性のない戦略と組み合わせて,ポートフォリオの引き上げを減らす
これは,過剰購入/過剰売却の検出のためにRSIを使用したシンプルで実用的な平均逆転戦略である.カスタマイズ可能なパラメータは,変化する市場に適応することを可能にします.適応停止,マルチファクター確認,パラメータ最適化などの改善により,戦略がより堅牢になります.
/*backtest start: 2023-08-19 00:00:00 end: 2023-09-18 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=3 strategy("4All V3", shorttitle="Strategy", overlay=true) /////////////// Component Code Start /////////////// testStartYear = input(2011, "Backtest Start Year") testStartMonth = input(8, "Backtest Start Month") testStartDay = input(1, "Backtest Start Day") testPeriodStart = timestamp(testStartYear,testStartMonth,testStartDay,0,0) testStopYear = input(2018, "Backtest Stop Year") testStopMonth = input(9, "Backtest Stop Month") testStopDay = input(29, "Backtest Stop Day") // testStopDay = testStartDay + 1 testPeriodStop = timestamp(testStopYear,testStopMonth,testStopDay,0,0) // A switch to control background coloring of the test period testPeriodBackground = input(title="Color Background?", type=bool, defval=true) testPeriodBackgroundColor = testPeriodBackground and (time >= testPeriodStart) and (time <= testPeriodStop) ? #00FF00 : na bgcolor(testPeriodBackgroundColor, transp=97) testPeriod() => true /////////////// Component Code Stop /////////////// src = close len = input(4, minval=1, title="Length") up = rma(max(change(src), 0), len) down = rma(-min(change(src), 0), len) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) rsin = input(5) sn = 100 - rsin ln = 0 + rsin /////////////// STRATEGY /////////////// ts = input(99999, "Trailing Stop") / 10000 tp = input(15, "Take Profit") / 10000 sl = input(23, "Stop Loss") / 10000 pyr = input(1, "Pyramiding") short = crossover(rsi, sn) long = crossunder(rsi, ln) totalLongs = 0 totalLongs := nz(totalLongs[1]) totalShorts = 0 totalShorts := nz(totalShorts[1]) totalLongsPrice = 0 totalLongsPrice := nz(totalLongsPrice[1]) totalShortsPrice = 0 totalShortsPrice := nz(totalShortsPrice[1]) sectionLongs = 0 sectionLongs := nz(sectionLongs[1]) sectionShorts = 0 sectionShorts := nz(sectionShorts[1]) if long sectionLongs := sectionLongs + 1 sectionShorts := 0 if short sectionLongs := 0 sectionShorts := sectionShorts + 1 longCondition = long and sectionLongs >= pyr shortCondition = short and sectionShorts >= pyr last_long = na last_short = na last_long := longCondition ? time : nz(last_long[1]) last_short := shortCondition ? time : nz(last_short[1]) long_signal = crossover(last_long, last_short) short_signal = crossover(last_short, last_long) last_open_long_signal = na last_open_short_signal = na last_open_long_signal := long_signal ? open : nz(last_open_long_signal[1]) last_open_short_signal := short_signal ? open : nz(last_open_short_signal[1]) last_long_signal = na last_short_signal = na last_long_signal := long_signal ? time : nz(last_long_signal[1]) last_short_signal := short_signal ? time : nz(last_short_signal[1]) in_long_signal = last_long_signal > last_short_signal in_short_signal = last_short_signal > last_long_signal last_high = na last_low = na last_high := not in_long_signal ? na : in_long_signal and (na(last_high[1]) or high > nz(last_high[1])) ? high : nz(last_high[1]) last_low := not in_short_signal ? na : in_short_signal and (na(last_low[1]) or low < nz(last_low[1])) ? low : nz(last_low[1]) long_ts = not na(last_high) and high <= (last_high - ts) //and high >= last_open_long_signal short_ts = not na(last_low) and low >= (last_low + ts) //and low <= last_open_short_signal long_tp = high >= (last_open_long_signal + tp) short_tp = low <= (last_open_short_signal - tp) long_sl = low <= (last_open_long_signal - sl) short_sl = high >= (last_open_short_signal + sl) leverage = input(1, "Leverage") long_call = last_open_long_signal - (0.8 + 0.2 * (1/leverage)) / leverage * last_open_long_signal short_call = last_open_short_signal + (0.78 + 0.2 * (1/leverage)) / leverage * last_open_short_signal long_call_signal = low <= long_call short_call_signal = high >= short_call if testPeriod() strategy.entry("Long", strategy.long, when=longCondition) strategy.entry("Short", strategy.short, when=shortCondition) strategy.close("Long", when=long_call_signal) strategy.close("Short", when=short_call_signal) strategy.close("Long", when=long_tp) strategy.close("Short", when=short_tp) strategy.close("Long", when=long_sl) strategy.close("Short", when=short_sl) strategy.close("Long", when=long_ts) strategy.close("Short", when=short_ts)