Strategi ini menggunakan indikator Relative Strength Index (RSI) untuk menentukan tingkat overbought dan oversold untuk short dan long. Ini adalah strategi perdagangan pembalikan RSI khas. Strategi ini juga menggabungkan optimasi parameter, stop loss dll untuk beradaptasi dengan kondisi pasar yang berbeda.
Logika inti meliputi:
Indikator RSI menunjukkan overbought di atas 70 dan oversold di bawah 30 kondisi pasar. Strategi ini memanfaatkan logika klasik ini untuk menentukan entri panjang / pendek berdasarkan nilai RSI terhadap batas yang telah ditetapkan sebelumnya. Parameter yang dapat disesuaikan juga memungkinkan mengoptimalkan batas, stop loss dll untuk adaptasi pasar.
Pengurangan:
Strategi ini dapat ditingkatkan melalui:
Pembelajaran mesin untuk optimasi tingkat RSI otomatis
Konfirmasi volume untuk menghindari gangguan palsu
Faktor tambahan seperti rata-rata bergerak untuk konfirmasi multi-faktor
Stop adaptatif berdasarkan volatilitas pasar
Analisis volume untuk mengukur arus masuk/arus keluar dana
Menggabungkan dengan strategi yang tidak berkorelasi untuk mengurangi penarikan portofolio
Ini adalah strategi reversi rata-rata yang sederhana dan praktis menggunakan RSI untuk deteksi overbought / oversold. Parameter yang dapat disesuaikan memungkinkan adaptasi dengan perubahan pasar. Peningkatan seperti adaptif berhenti, konfirmasi multi-faktor, dan optimasi parameter dapat membuat strategi lebih kuat.
/*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)