Strategi ini menggunakan rel atas dan bawah Bollinger Bands untuk menerapkan stop loss dinamis. Ini akan pendek ketika harga melanggar rel atas dan akan panjang ketika harga melanggar rel bawah. Dan menetapkan stop loss dinamis untuk melacak pergerakan harga.
Inti dari strategi ini terletak pada rel atas dan bawah Bollinger Bands. rel tengah adalah rata-rata bergerak n hari. rel atas adalah rel tengah + kdeviasi standar n hari. rel bawah adalah rel tengah − kn-day standard deviation. Ketika harga bangkit dari rel bawah, pergi panjang. Ketika harga jatuh kembali dari rel atas, pergi pendek. Pada saat yang sama, strategi menetapkan titik stop loss dan secara dinamis menyesuaikannya selama pergerakan harga untuk menetapkan titik mengambil keuntungan untuk menerapkan kontrol risiko yang bijaksana.
Strategi ini memanfaatkan atribut regresi Bollinger Bands
/*backtest start: 2024-01-24 00:00:00 end: 2024-01-31 00:00:00 period: 30m basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 strategy(shorttitle="BB Strategy", title="Bollinger Bands Strategy", overlay=true) length = input.int(20, minval=1, group = "Bollinger Bands") maType = input.string("SMA", "Basis MA Type", options = ["SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA"], group = "Bollinger Bands") src = input(close, title="Source", group = "Bollinger Bands") mult = input.float(2.0, minval=0.001, maxval=50, title="StdDev", group = "Bollinger Bands") ma(source, length, _type) => switch _type "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) basis = ma(src, length, maType) dev = mult * ta.stdev(src, length) upper = basis + dev lower = basis - dev offset = input.int(0, "Offset", minval = -500, maxval = 500, group = "Bollinger Bands") plot(basis, "Basis", color=#FF6D00, offset = offset) p1 = plot(upper, "Upper", color=#2962FF, offset = offset) p2 = plot(lower, "Lower", color=#2962FF, offset = offset) fill(p1, p2, title = "Background", color=color.rgb(33, 150, 243, 95)) lo = input.bool(true, "Long", group = "Strategy") sh = input.bool(true, "Short", group = "Strategy") x = input.float(3.0, "Target Multiplier (X)", group = "Strategy", minval = 1.0, step = 0.1) token = input.string(defval = "", title = "Token", group = "AUTOMATION") Buy_CE = '{"auth-token":"' + token + '","key":"Value1","value":"' + str.tostring(1) + '"}' Buy_PE = '{"auth-token":"' + token + '","key":"Value1","value":"' + str.tostring(2) + '"}' Exit_CE = '{"auth-token":"' + token + '","key":"Value1","value":"' + str.tostring(-1) + '"}' Exit_PE = '{"auth-token":"' + token + '","key":"Value1","value":"' + str.tostring(-2) + '"}' Exit_PE_CE = '{"auth-token":"' + token + '","key":"Value1","value":"' + str.tostring(2.5) + '"}' Exit_CE_PE = '{"auth-token":"' + token + '","key":"Value1","value":"' + str.tostring(1.5) + '"}' long = high < lower short = low > upper var sl_b = 0.0 var tar_b = 0.0 var sl_s = 0.0 var tar_s = 0.0 var static_sl = 0.0 entry = strategy.opentrades.entry_price(strategy.opentrades - 1) if long and lo and strategy.position_size == 0 strategy.entry("Long", strategy.long, alert_message = Buy_CE, stop = high) strategy.exit("LX", "Long", profit = (math.abs(high - low) * x)/syminfo.mintick, stop = low, alert_message = Exit_CE) sl_b := low tar_b := high + (math.abs(high - low) * x) static_sl := math.abs(low - high) if short and sh and strategy.position_size == 0 strategy.entry("Short", strategy.short, alert_message = Buy_PE, stop = low) strategy.exit("SX", "Short", profit = (math.abs(high - low) * x)/syminfo.mintick, stop = high, alert_message = Exit_PE) sl_s := high tar_s := low - (math.abs(high - low) * x) static_sl := math.abs(high - low) // if long and strategy.position_size < 0 // strategy.entry("Long", strategy.long, alert_message = Exit_PE_CE, stop = high) // strategy.exit("LX", "Long", profit = (math.abs(high - low) * x)/syminfo.mintick, stop = low, alert_message = Exit_CE) // sl_b := low // tar_b := high + (math.abs(high - low) * x) // if short and strategy.position_size > 0 // strategy.entry("Short", strategy.short, alert_message = Exit_CE_PE, stop = low) // strategy.exit("SX", "Short", profit = (math.abs(high - low) * x)/syminfo.mintick, stop = high, alert_message = Exit_PE) // sl_s := math.max(high[1], high) // tar_s := low - (math.abs(high - low) * x) if ta.change(dayofmonth) or (long[1] and not long[2]) strategy.cancel("Long") if ta.change(dayofmonth) or (short[1] and not short[2]) strategy.cancel("Short") var count = 1 if strategy.position_size != 0 if strategy.position_size > 0 if close > (entry + (static_sl * count)) strategy.exit("LX", "Long", limit = tar_b, stop = sl_b, alert_message = Exit_CE) sl_b := entry + (static_sl * (count - 1)) count += 1 else if close < (entry - (static_sl * count)) strategy.exit("SX", "Short", limit = tar_s, stop = sl_s, alert_message = Exit_PE) sl_s := entry - (static_sl * (count - 1)) count += 1 // label.new(bar_index, high, str.tostring(static_sl)) if strategy.position_size == 0 count := 1 plot(strategy.position_size > 0 ? sl_b : na, "", color.red, style = plot.style_linebr) plot(strategy.position_size < 0 ? sl_s : na, "", color.red, style = plot.style_linebr) plot(strategy.position_size > 0 ? tar_b : na, "", color.green, style = plot.style_linebr) plot(strategy.position_size < 0 ? tar_s : na, "", color.green, style = plot.style_linebr)