Strategi ini dinamakan
Strategi ini menggunakan 5-hari Stochastic Indicator %K dan crossover garis %D untuk menjana isyarat dagangan. Apabila %K melintasi %D dari bawah, isyarat beli dihasilkan. Apabila %K melintasi di bawah %D dari atas, isyarat jual dihasilkan. Untuk menapis isyarat palsu, garis SMA 50 hari digunakan - hanya apabila harga dekat di bawah titik rendah SMA, isyarat beli sah; hanya apabila harga dekat di atas titik tinggi SMA, isyarat jual sah.
Apabila menerima isyarat beli, strategi akan membuka kedudukan panjang dengan kuantiti tetap. Apabila menerima isyarat jual, jika dalam mod perdagangan satu hala, ia akan menutup kedudukan panjang sebelumnya dan membuka kedudukan pendek. Jika dalam mod lindung nilai, ia hanya akan membuka kedudukan pendek tambahan untuk lindung nilai. Untuk setiap unit perdagangan, titik stop loss dan mengambil keuntungan rawak ditetapkan berdasarkan peratusan tertentu dari harga semasa. Ini membolehkan kunci keuntungan dan mengawal risiko.
Kelebihan terbesar strategi ini ialah ia menggunakan isyarat Stochastic dengan penapis SMA untuk mencapai kadar isyarat palsu yang agak rendah dalam perdagangan dua hala. Ini memberikan lebih banyak peluang keuntungan. Di samping itu, mekanisme stop loss / take profit rawak membolehkan mengambil keuntungan tepat pada masanya selepas membuat keuntungan, mengelakkan memberikan kembali semua keuntungan; dan memotong kerugian sekiranya kerugian besar, untuk mengurangkan kerugian. Ringkasnya, strategi ini mempunyai margin keuntungan yang lebih besar dan kawalan risiko yang lebih baik.
Risiko utama strategi ini termasuk isyarat palsu penunjuk Stochastic boleh membawa kepada kerugian yang tidak perlu; titik stop loss / mengambil keuntungan rawak yang tidak tepat boleh menjadi terlalu agresif, menyebabkan keluar awal atau lewat, memberi kesan kepada keuntungan; ketidakupayaan untuk memotong kerugian tepat pada masanya dalam perdagangan lindung nilai boleh membawa kepada penguatan kerugian.
Untuk mengurangkan risiko, parameter penapis SMA boleh dioptimumkan untuk menapis lebih banyak isyarat palsu. Juga pertimbangkan untuk menggabungkan penunjuk lain untuk menentukan trend pasaran untuk mengelakkan perdagangan terhadap trend. Akhirnya, julat stop loss yang munasabah harus ditetapkan, dan titik stop loss bebas harus digunakan untuk unit lindung nilai untuk mengawal risiko.
Strategi boleh dioptimumkan dalam aspek berikut:
Mengoptimumkan parameter Stochastic untuk mencari kombinasi parameter terbaik untuk mengurangkan isyarat palsu.
Mengoptimumkan atau menambah penunjuk teknikal lain untuk membantu Stochastic dalam menentukan trend, contohnya MACD, KD dll.
Gunakan model pembelajaran mesin untuk mengkaji metrik seperti ketepatan, kadar kemenangan dll isyarat Stochastic di bawah parameter yang berbeza, untuk mencari ruang parameter optimum.
Mengoptimumkan algoritma stop loss / mengambil keuntungan rawak untuk menjadikannya lebih pintar dan dinamik, contohnya menggabungkan konsep seperti stop loss bergerak, saiz kedudukan dll.
Tambah modul saiz kedudukan, yang membolehkan penyesuaian kedudukan dinamik berdasarkan prestasi, rejimen pasaran dll.
/*backtest start: 2023-12-31 00:00:00 end: 2024-01-07 00:00:00 period: 15m basePeriod: 5m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //@version=5 var int slippage = 0 strategy("X48 - DayLight Hunter | Strategy | V.01.01", overlay=true, calc_on_order_fills = true, initial_capital = 50,default_qty_type = strategy.fixed, default_qty_value = 1, commission_type = strategy.commission.percent, commission_value = 0, currency = currency.USD, slippage = 0) var bool hedge_mode = false var int sto_buy = 0 var int sto_sell = 0 Trade_Mode = input.string(defval = "Hedge", title = "⚖️ Mode For Trade [Oneway / Hedge]", options = ["Oneway", "Hedge"], group = "Mode Trade", tooltip = "Oneway = Switching Position Type With Signal\nHedge Mode = Not Switching Position Type Unitl TP or SL") Risk_Mode = input.string(defval = "Low Risk", title = "⚖️ Risk Signal Mode [Low / Medium / High]", options = ["Low Risk", "Medium Risk", "High Risk"], group = "Mode Trade", tooltip = "[[Signal Form Stochastic]]\nLow Risk is >= 80 and <= 20\nMedium Risk is >= 70 and <= 30\nHigh Risk is >= 50 and <=50") if Trade_Mode == "Oneway" hedge_mode := false else hedge_mode := true if Risk_Mode == "Low Risk" sto_buy := 20 sto_sell := 80 else if Risk_Mode == "Medium Risk" sto_buy := 30 sto_sell := 70 else if Risk_Mode == "High Risk" sto_buy := 50 sto_sell := 50 periodK = input.int(15, title="%K Length", minval=1, group = "Stochastic Setting", inline = "Sto0") smoothK = input.int(3, title="%K Smoothing", minval=1, group = "Stochastic Setting", inline = "Sto0") periodD = input.int(3, title="%D Smoothing", minval=1, group = "Stochastic Setting", inline = "Sto0") SMA_Mode = input.bool(defval = true, title = "SMA High and Low Filter Mode", group = "SMA Filter Mode", tooltip = "Sell Signal With Open >= SMA High\nBuy Signal With Close <= SMA Low") SMA_High = input.int(defval = 50, title = "SMA High", group = "SMA Filter Mode", inline = "SMA1") SMA_Low = input.int(defval = 50, title = "SMA Low", group = "SMA Filter Mode", inline = "SMA1") k = ta.sma(ta.stoch(close, high, low, periodK), smoothK) d = ta.sma(k, periodD) high_line = ta.sma(high, SMA_High) low_line = ta.sma(low, SMA_Low) plot(SMA_Mode ? high_line : na, "H-Line", color = color.yellow, linewidth = 2) plot(SMA_Mode ? low_line : na, "L-Line", color = color.blue, linewidth = 2) entrybuyprice = strategy.position_avg_price var bool longcondition = na var bool shortcondition = na if SMA_Mode == true longcondition := ta.crossover(k,d) and d <= sto_buy and close < low_line and open < low_line// or ta.crossover(k, 20)// and close <= low_line shortcondition := ta.crossunder(k,d) and d >= sto_sell and close > high_line and open > high_line// or ta.crossunder(k, 80)// and close >= high_line else longcondition := ta.crossover(k,d) and d <= sto_buy shortcondition := ta.crossunder(k,d) and d >= sto_sell //longcondition_double = ta.crossover(d,20) and close < low_line// and strategy.position_size > 0 //shortcondition_double = ta.crossunder(d,80) and close > high_line// and strategy.position_size < 0 //=============== TAKE PROFIT and STOP LOSS by % ================= tpsl(percent) => strategy.position_avg_price * percent / 100 / syminfo.mintick GR4 = "=====🆘🆘🆘 TAKE PROFIT & STOP LOSS BY [%] 🆘🆘🆘=====" mode= input.bool(title="🆘 Take Profit & Stop Loss By Percent (%)", defval=true, group=GR4, tooltip = "Take Profit & Stop Loss by % Change\n0 = Disable") tp_l = tpsl(input.float(0, title='🆘 TP [LONG] % >> [Oneway Only]', group=GR4, tooltip = "0 = Disable")) tp_s = tpsl(input.float(0, title='🆘 TP [SHORT] % >> [Oneway Only]', group=GR4, tooltip = "0 = Disable")) sl = tpsl(input.float(0, title='🆘 Stop Loss %', group=GR4, tooltip = "0 = Disable")) tp_pnl = input.float(defval = 1, title = "🆘 TP by PNL $ eg. (0.1 = 0.1$)", group = GR4) spread_size = input.float(defval = 0.350, title = "🆘 Spread Point Size(Eg. 35 Point or 350 Point From Your Broker Digits)", tooltip = "Spread Point Form Your Broker \nEg. 1920.124 - 1920.135 or 1920.12 - 1920.13\nPlease Check From Your Broker", group = GR4) GR5 = "===💮💮💮 Hedge Mode 💮💮💮===" //hedge_mode = input.bool(defval = true, title = "⚖️ Hedge Mode", group = GR5) hedge_point = input.int(defval = 500, title = "💯 Hedge Point Range", group = GR5, tooltip = "After Entry Last Position And Current Price More Than Point Range Are Open New Hedge Position") hedge_gale = input.float(defval = 2.0, title = "✳️ Martingale For Hedge Multiply [default = 2]", tooltip = "Martingale For Multiply Hedge Order", group = GR5) hedge_point_size = hedge_point/100 calcStopLossPrice(OffsetPts) => if strategy.position_size > 0 strategy.position_avg_price - OffsetPts * syminfo.mintick else if strategy.position_size < 0 strategy.position_avg_price + OffsetPts * syminfo.mintick else na calcStopLossL_AlertPrice(OffsetPts) => strategy.position_avg_price - OffsetPts * syminfo.mintick calcStopLossS_AlertPrice(OffsetPts) => strategy.position_avg_price + OffsetPts * syminfo.mintick calcTakeProfitPrice(OffsetPts) => if strategy.position_size > 0 strategy.position_avg_price + OffsetPts * syminfo.mintick else if strategy.position_size < 0 strategy.position_avg_price - OffsetPts * syminfo.mintick else na calcTakeProfitL_AlertPrice(OffsetPts) => strategy.position_avg_price + OffsetPts * syminfo.mintick calcTakeProfitS_AlertPrice(OffsetPts) => strategy.position_avg_price - OffsetPts * syminfo.mintick var stoploss = 0. var stoploss_l = 0. var stoploss_s = 0. var takeprofit = 0. var takeprofit_l = 0. var takeprofit_s = 0. var takeprofit_ll = 0. var takeprofit_ss = 0. if mode == true if (strategy.position_size > 0) if sl > 0 stoploss := calcStopLossPrice(sl) stoploss_l := stoploss else if sl <= 0 stoploss := na if tp_l > 0 takeprofit := tp_l takeprofit_ll := close + ((close/100)*tp_l) //takeprofit_s := na else if tp_l <= 0 takeprofit := na if (strategy.position_size < 0) if sl > 0 stoploss := calcStopLossPrice(sl) stoploss_s := stoploss else if sl <= 0 stoploss := na if tp_s > 0 takeprofit := tp_s takeprofit_ss := close - ((close/100)*tp_s) //takeprofit_l := na else if tp_s <= 0 takeprofit := na else if strategy.position_size == 0 stoploss := na takeprofit := na //takeprofit_l := calcTakeProfitL_AlertPrice(tp_l) //takeprofit_s := calcTakeProfitS_AlertPrice(tp_s) //stoploss_l := calcStopLossL_AlertPrice(sl) //stoploss_s := calcStopLossS_AlertPrice(sl) //////////// INPUT BACKTEST RANGE //////////////////////////////////////////////////// var string BTR1 = '════════⌚⌚ INPUT BACKTEST TIME RANGE ⌚⌚════════' i_startTime = input(defval = timestamp("01 Jan 1945 00:00 +0000"), title = "Start", inline="timestart", group=BTR1, tooltip = 'Start Backtest YYYY/MM/DD') i_endTime = input(defval = timestamp("01 Jan 2074 23:59 +0000"), title = "End", inline="timeend", group=BTR1, tooltip = 'End Backtest YYYY/MM/DD') //////////////// Strategy Alert For X4815162342 BOT ////////////////////// Text_Alert_Future = '{{strategy.order.alert_message}}' copy_Fu = input( defval= Text_Alert_Future , title="Alert Message for BOT", inline = '00' ,group = '═ Bot Setting ═ \n >> If You Dont Use Bot Just Pass It' ,tooltip = 'Alert For X48-BOT > Copy and Paste To Alert Function') TimeFrame_input = input(defval= 'Input Your TimeFrame [1m, 15m, 1h, 4h, 1d ,1w]' , title="TimeFrame Text Alert", inline = '00' ,group = '═ Bot Setting ═ \n >> If You Dont Use Bot Just Pass It') string Alert_EntryL = '🪙 Asset : {{ticker}} \n💱 Status : {{strategy.market_position}}\n🕛 TimeFrame : '+str.tostring(TimeFrame_input)+'\n💸 Price : {{strategy.order.price}} $\n✅ TP : '+str.tostring(takeprofit_ll)+' $\n❌ SL : '+str.tostring(stoploss_l)+' $\n⏰ Time : {{timenow}}' string Alert_EntryS = '🪙 Asset : {{ticker}} \n💱 Status : {{strategy.market_position}}\n🕛 TimeFrame : '+str.tostring(TimeFrame_input)+'\n💸 Price : {{strategy.order.price}} $\n✅ TP : '+str.tostring(takeprofit_ss)+' $\n❌ SL : '+str.tostring(stoploss_s)+' $\n⏰ Time : {{timenow}}' string Alert_TPSL = '🪙 Asset : {{ticker}}\n🕛 TimeFrame : '+str.tostring(TimeFrame_input)+'\n💹 {{strategy.order.comment}}\n💸 Price : {{strategy.order.price}} $\n⏰ Time : {{timenow}}' if true if longcondition strategy.entry("Long", strategy.long, comment = "🌙", alert_message = Alert_EntryL) //if longcondition_double // //strategy.cancel_all() // strategy.entry("Long2", strategy.long, comment = "🌙🌙") // //strategy.exit("Exit",'Long', qty_percent = 100 , profit = takeprofit, stop = stoploss, comment_profit = "TP💚L", comment_loss = "SL💚L") if shortcondition strategy.entry("Short", strategy.short, comment = "👻", alert_message = Alert_EntryS) //strategy.exit("Exit",'Short', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP❤️️S", comment_loss = "SL❤️️S") //if shortcondition_double // //strategy.cancel_all() // strategy.entry("Short2", strategy.short, comment = "👻👻") if strategy.position_size > 0 and strategy.opentrades >= 1 and hedge_mode == true entrypricel = strategy.opentrades.entry_price(strategy.opentrades - 1) callpointsize = entrypricel - close lastsize = strategy.position_size if callpointsize >= hedge_point_size and longcondition strategy.order("Long2", strategy.long, qty = lastsize * hedge_gale, comment = "🌙⌛", alert_message = Alert_EntryL) else if strategy.position_size < 0 and strategy.opentrades >= 1 and hedge_mode == true entryprices = strategy.opentrades.entry_price(strategy.opentrades - 1) callpointsize = (entryprices - close)* -1 lastsize = (strategy.position_size) * -1 if callpointsize >= hedge_point_size and shortcondition strategy.order("Short2", strategy.short, qty = lastsize * hedge_gale, comment = "👻⌛", alert_message = Alert_EntryS) last_price_l = (strategy.opentrades.entry_price(strategy.opentrades - 1) + (strategy.opentrades.entry_price(strategy.opentrades - 1)/100) * takeprofit) + spread_size last_price_s = (strategy.opentrades.entry_price(strategy.opentrades - 1) - (strategy.opentrades.entry_price(strategy.opentrades - 1)/100) * takeprofit) - spread_size current_price = request.security(syminfo.tickerid, "1", close) current_pricel = request.security(syminfo.tickerid, "1", close) + spread_size current_prices = request.security(syminfo.tickerid, "1", close) - spread_size //if mode == true if strategy.position_size > 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == true lastsize = strategy.position_size lastprofitorder = strategy.openprofit //if lastprofitorder >= 0.07 //strategy.close('Long', qty = lastsize, comment = "TP💚L", alert_message = Alert_TPSL, immediately = true) strategy.cancel_all() strategy.close_all(comment = "TP💚PNL", alert_message = Alert_TPSL, immediately = true) //strategy.close_all(comment = "TP💚LH", alert_message = Alert_TPSL) //strategy.exit("Exit",'Long2', qty_percent = 100, profit = last_price_l, stop = stoploss, comment_profit = "TP💚LH", comment_loss = "SL💚LH", alert_message = Alert_TPSL) //strategy.exit("Exit",'Long', qty_percent = 100, profit = last_price_l, stop = stoploss, comment_profit = "TP💚L", comment_loss = "SL💚L", alert_message = Alert_TPSL) else if strategy.position_size > 0 and strategy.openprofit < tp_pnl and mode == true and hedge_mode == true strategy.exit("Exit",'Long', qty_percent = 100, stop = stoploss, comment_loss = "SL💚%L", alert_message = Alert_TPSL) if strategy.position_size > 0 and mode == true and hedge_mode == false //strategy.close_all(comment = "TP💚LH", alert_message = Alert_TPSL, immediately = true) strategy.exit("Exit",'Long', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP💚%L", comment_loss = "SL💚%L", alert_message = Alert_TPSL) //strategy.exit("Exit",'Long', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP💚LL", comment_loss = "SL💚L", alert_message = Alert_TPSL) //else if strategy.position_size > 0 and strategy.opentrades > 1 // lastsize = strategy.position_size // lastprofitorder = strategy.openprofit // if lastprofitorder >= 0.07 // strategy.close_all(comment = "TP💚LL", alert_message = Alert_TPSL) if strategy.position_size < 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == true lastsize = (strategy.position_size) * -1 lastprofitorder = strategy.openprofit //if lastprofitorder >= 0.07 //strategy.close('Short', qty = lastsize, comment = "TP❤️️S", alert_message = Alert_TPSL, immediately = true) strategy.cancel_all() strategy.close_all(comment = "TP❤️️PNL", alert_message = Alert_TPSL, immediately = true) //strategy.close_all(comment = "TP❤️️SH", alert_message = Alert_TPSL) //strategy.exit("Exit",'Short2', qty_percent = 100, profit = last_price_s, stop = stoploss, comment_profit = "TP❤️️SH", comment_loss = "SL❤️️SH", alert_message = Alert_TPSL) //strategy.exit("Exit",'Short', qty_percent = 100, profit = last_price_s, stop = stoploss, comment_profit = "TP❤️️S", comment_loss = "SL❤️️S", alert_message = Alert_TPSL) else if strategy.position_size < 0 and strategy.openprofit < tp_pnl and mode == true and hedge_mode == true strategy.exit("Exit",'Short', qty_percent = 100, stop = stoploss, comment_loss = "SL❤️️%S", alert_message = Alert_TPSL) if strategy.position_size < 0 and mode == true and hedge_mode == false //strategy.close_all(comment = "TP❤️️SH", alert_message = Alert_TPSL, immediately = true) strategy.exit("Exit",'Short', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP❤️️%S", comment_loss = "SL❤️️%S", alert_message = Alert_TPSL) //strategy.exit("Exit",'Short', qty_percent = 100, profit = takeprofit, stop = stoploss, comment_profit = "TP❤️️S", comment_loss = "SL❤️️S", alert_message = Alert_TPSL) //else if strategy.position_size < 0 and strategy.opentrades > 1 // lastsize = (strategy.position_size) * -1 // lastprofitorder = strategy.openprofit // if lastprofitorder >= 0.07 // strategy.close_all(comment = "TP❤️️SS", alert_message = Alert_TPSL) //===================== เรียกใช้ library ========================= import X4815162342/X48_LibaryStrategyStatus/2 as fuLi //แสดงผล Backtest show_Net = input.bool(true,'Monitor Profit&Loss', inline = 'Lnet', group = '= PNL MONITOR SETTING =') position_ = input.string('bottom_center','Position', options = ['top_right','middle_right','bottom_right','top_center','middle_center','bottom_center','middle_left','bottom_left'] , inline = 'Lnet') size_i = input.string('auto','size', options = ['auto','tiny','small','normal'] , inline = 'Lnet') color_Net = input.color(color.blue,"" , inline = 'Lnet') // fuLi.NetProfit_Show(show_Net , position_ , size_i, color_Net )