یہ حکمت عملی کلاسیکی اسٹوکاسٹک اشارے اور ایس ایم اے اشارے کو یکجا کرتی ہے تاکہ مضبوط رجحان سے باخبر رہنے کی صلاحیت حاصل کی جاسکے۔ اس حکمت عملی کا بنیادی خیال اسٹوکاسٹک اشارے کے ساتھ رجحان کی سمت کے اشاروں کی نشاندہی کرنا اور سگنل کے معیار کو بہتر بنانے کے لئے ایس ایم اے اشارے کے ساتھ فلٹر کرنا ہے۔ یہ خطرہ اور انعام کو متحرک طور پر ایڈجسٹ کرنے کے لئے مختلف رسک موڈ بھی فراہم کرتا ہے۔ اس کے علاوہ ، داخلہ کے وقت کو بہتر بنانے اور تجارتی رسک کو کنٹرول کرنے کے لئے ملٹی ٹائم فریم فیصلے کا استعمال کیا جاتا ہے۔
حل:
اس حکمت عملی میں اسٹوکاسٹک اور ایس ایم اے اشارے کی طاقتوں کو یکجا کیا گیا ہے تاکہ مضبوط رجحان سے باخبر رہنے کی صلاحیت حاصل کی جاسکے۔ فریم ورک ٹھوس ہے اور اشارے کا اطلاق سیال ہے۔ پیرامیٹرز اور رسک موڈ کو کنٹرول کرکے ، اشارے کی نوعیت کو بہتر استحکام کے ل restored بحال کیا جاتا ہے۔ کثیر ٹائم فریم فیصلے سے مصنوعات اور ٹائم فریموں میں موافقت بھی بڑھتی ہے۔ مجموعی طور پر اس میں اچھی استعداد اور مزید اصلاحات اور بہتری کے لئے بہت بڑی صلاحیت ہے۔
/*backtest start: 2023-11-17 00:00:00 end: 2023-12-17 00:00:00 period: 1h basePeriod: 15m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ //►►►► Description ►►►► //1. The Original Pine Script //- Stochastic //- SMA //1.1 Concepts //- Stochastic crossover and crossunder with range 80/20 or 70/30 or 50/50 from your risk you can adjust it from config //- Confirm Signal by SMA High and Low Original Range is 50 or you can adjust by your self in config Setting //1.2 Condition //- Buy Condition = Stochastic crossover Sto Signal Line and SMA Filter <= 20 or 30 or 50 from your risk //- Sell Condition = Stochastic crossunder Sto Signal Line and SMA Filter >= 80 or 70 or 50 from your risk //1.3 Idea For Trading //- Trend Runing If you use "Trend" Mode is Martingale Your Position Until You Have a Profit //- Scalping You Can Adjust TP for Little Profit and Increase Your Winrate //►►►► Strategy results ►►►► // ►► Use an account size ►► // - For Newbie i recommend try to use 50$ you can test in MT4 Or MT5 Start With 50$ Leverage : 1000 // - For Some User Have a Exp. Trading : 500$ you can use martingale for help your trading // - For Expert User : 5000$ or 5000$ (Cent) you can use martingale for help your trading // ►► realistic commission AND slippage ►► // - Some Broker Not Have a commission for Gold and Forex. // - slippage : default i'm Setting is 350 point, (it's mean 35 pip) it's average or your account is ECN or Zero Spread You can Set = 0 // ►► Size For Trading ►► // - This strategy is Start From 0.01 lot and use martingale for next position // - This not perfect strategy. it's have equity drawdown. just try and test your config you like. // ►► Sample size Dataset Trading ►► // - This Strategy Recommend For Long-Term Trading Becuase It's Have Martingale Help Your Next Position //►►►► strategy's default Properties ►►►► // - From Default Setting : Slippage or Spread Set = 0 (Becuase I don't know your account spread) you can set in Properties // ** Some Broeker Are 2 Digits or 3 Digit You Must Set By Your Self (like 35 point or 350 point from your account spread) // - From Default Setting : commission = 0 (Becuase I don't know your account commission) you can set in Properties // ** Some Broeker Are not commission for forex and gold //@version=5 var int slippage = 0 strategy("X48 - DayLight Hunter | Strategy | V.01.03", overlay=true) var int hedge_mode = 0 var int sto_buy = 0 var int sto_sell = 0 Trade_Mode = input.string(defval = "Trend", title = "⚖️ Mode For Trade [Oneway / Hedge / ⭐Trend]", options = ["Oneway", "Hedge", "Trend"], group = "=== Mode Trade [Recommend Mode is ⭐Trend and ⭐Low Risk] ===", 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 [Recommend Mode is ⭐Trend and ⭐Low Risk] ===", 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 := 0 else if Trade_Mode == "Hedge" hedge_mode := 1 else if Trade_Mode == "Trend" hedge_mode := 2 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") GRSMA = "=== 🧮 SMA Filter Mode ===" SMA_Mode = input.bool(defval = true, title = "🧮 SMA High and Low Filter Mode", group = GRSMA, tooltip = "Sell Signal With Open >= SMA High\nBuy Signal With Close <= SMA Low") SMA_High = input.int(defval = 50, title = "SMA High", group = GRSMA, inline = "SMA1") SMA_Low = input.int(defval = 50, title = "SMA Low", group = GRSMA, 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 % [All Mode / 1st Position]', group=GR4, tooltip = "0 = Disable")) tp_pnl = input.float(defval = 1, title = "🆘 TakeProfit by PNL ($) eg. (0.1 = 0.1$)", group = GR4, tooltip = "All Mode TP by PNL") 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 / Martingale Mode 💮💮💮===" //hedge_mode = input.bool(defval = true, title = "⚖️ Hedge / Martingale Mode", group = GR5) hedge_point = input.int(defval = 500, title = "💯 Hedge Point Range / Martingale 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 = '01' ,group = '═ Bot Setting ═ \n >> If You Dont Use Bot Just Pass It', tooltip = "[1m, 15m, 1h, 4h, 1d ,1w]") 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 and strategy.position_size == 0) or (longcondition and strategy.position_size < 0 and hedge_mode == 0) 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 and strategy.position_size == 0) or (shortcondition and strategy.position_size > 0 and hedge_mode == 0) 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 == 1 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) if shortcondition strategy.order("Short2", strategy.short, qty = lastsize * hedge_gale, comment = "👻⌛", alert_message = Alert_EntryS) else if strategy.position_size < 0 and strategy.opentrades >= 1 and hedge_mode == 1 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) if longcondition strategy.order("Long2", strategy.long, qty = lastsize * hedge_gale, comment = "🌙⌛", alert_message = Alert_EntryL) if strategy.position_size > 0 and strategy.opentrades >= 1 and hedge_mode == 2 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 == 2 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 == 1 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 == 1 strategy.exit("Exit",'Long', qty_percent = 100, stop = stoploss, comment_loss = "SL💚%L", alert_message = Alert_TPSL) if strategy.position_size > 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == 2 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 == 2 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 == 0 //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) if strategy.position_size < 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == 1 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 == 1 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 == 0 //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) if strategy.position_size < 0 and strategy.openprofit >= tp_pnl and mode == true and hedge_mode == 2 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 == 2 strategy.exit("Exit",'Short', qty_percent = 100, stop = stoploss, 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 )