Strategi ini mengintegrasikan MACD, RSI, PSAR dan penunjuk teknikal lain bersama-sama dengan metodologi pengurusan wang dinamik untuk mengesan trend dan membuat perdagangan pembalikan merentasi pelbagai jangka masa.
Strategi ini menggunakan penunjuk PSAR untuk menentukan arah trend. Persalinan antara garis tengah EMA dan BB berfungsi sebagai titik pengesahan pertama. Arah histogram MACD bertindak sebagai titik pengesahan kedua. Kawasan overbought dan oversold RSI berfungsi sebagai titik pengesahan ketiga. Isyarat perdagangan dihasilkan apabila semua syarat di atas dipenuhi.
Selepas memasuki kedudukan, mengambil keuntungan dan titik hentian kerugian ditetapkan. Titik hentian kerugian ditentukan dengan mengalikan nilai ATR dengan nombor tetap. Titik hentian keuntungan dikira dengan cara yang sama. Sementara itu, peratusan hentian kerugian terapung ditetapkan. Apabila kerugian mencapai peratusan tertentu daripada jumlah ekuiti akaun, hentian kerugian akan dicetuskan.
Terdapat juga penetapan peratusan untuk keuntungan terapung. Apabila keuntungan mencapai peratusan tertentu daripada jumlah ekuiti akaun, mengambil keuntungan akan dicetuskan.
Pengurusan wang dinamik mengira saiz kedudukan berdasarkan jumlah ekuiti akaun, nilai ATR dan pengganda yang digunakan untuk berhenti kerugian.
Pengesahan faktor berbilang mengelakkan pelarian palsu dan meningkatkan ketepatan kemasukan.
Pengurusan wang yang dinamik mengawal risiko perdagangan tunggal dan melindungi akaun dengan berkesan.
Titik stop loss dan mengambil keuntungan ditetapkan mengikut ATR, yang boleh diselaraskan berdasarkan turun naik pasaran.
Tetapan peratusan kerugian dan keuntungan terapung mengunci keuntungan dan menghalang penarikan balik.
Gabungan pelbagai faktor mungkin kehilangan beberapa peluang perdagangan.
Tetapan peratusan yang tinggi boleh membawa kepada kerugian yang lebih besar.
Tetapan nilai ATR yang tidak betul boleh menyebabkan stop loss dan mengambil mata keuntungan yang terlalu luas atau terlalu agresif.
Tetapan pengurusan wang yang tidak betul boleh membawa kepada saiz kedudukan yang terlalu besar.
Sesuaikan berat faktor untuk meningkatkan ketepatan isyarat.
Uji tetapan parameter peratusan yang berbeza untuk mencari kombinasi yang optimum.
Pilih pengganda ATR yang munasabah berdasarkan ciri produk yang berbeza.
Dinamis menyesuaikan parameter pengurusan wang berdasarkan hasil backtest.
Mengoptimumkan tetapan jangka masa dan sesi perdagangan ujian.
Strategi ini mengintegrasikan pelbagai penunjuk teknikal untuk penentuan trend dan menambah pengurusan wang dinamik untuk mengawal risiko, merealisasikan keuntungan yang stabil dalam pelbagai jangka masa.
/*backtest start: 2023-09-16 00:00:00 end: 2023-10-16 00:00:00 period: 10m basePeriod: 1m exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/ // © SoftKill21 //@version=4 strategy("EURUSD 1min strat RISK %% ", overlay=false, initial_capital = 1000) // BACKTESTING RANGE // From Date Inputs fromDay = input(defval = 1, title = "From Day", minval = 1, maxval = 31) fromMonth = input(defval = 6, title = "From Month", minval = 1, maxval = 12) fromYear = input(defval = 2020, title = "From Year", minval = 1970) // To Date Inputs toDay = input(defval = 1, title = "To Day", minval = 1, maxval = 31) toMonth = input(defval = 12, title = "To Month", minval = 1, maxval = 12) toYear = input(defval = 2020, title = "To Year", minval = 1970) // Calculate start/end date and time condition DST = 1 //day light saving for usa //--- Europe London = iff(DST==0,"0000-0900","0100-1000") //--- America NewYork = iff(DST==0,"0400-1500","0500-1600") //--- Pacific Sydney = iff(DST==0,"1300-2200","1400-2300") //--- Asia Tokyo = iff(DST==0,"1500-2400","1600-0100") //-- Time In Range timeinrange(res, sess) => time(res, sess) != 0 london = timeinrange(timeframe.period, London) newyork = timeinrange(timeframe.period, NewYork) startDate = timestamp(fromYear, fromMonth, fromDay, 00, 00) finishDate = timestamp(toYear, toMonth, toDay, 00, 00) time_cond = true // // // rsi length = input( 5 ) overSold = input( 23 ) overBought = input( 72 ) price = close vrsi = rsi(price, length) co = crossover(vrsi, overSold) cu = crossunder(vrsi, overBought) // macd fast_length_macd = input(title="Fast Length", type=input.integer, defval=12) slow_length_macd = input(title="Slow Length", type=input.integer, defval=26) src_macd = input(title="Source", type=input.source, defval=close) signal_length = input(title="Signal Smoothing", type=input.integer, minval = 1, maxval = 50, defval = 9) sma_source = input(title="Simple MA(Oscillator)", type=input.bool, defval=true) sma_signal = input(title="Simple MA(Signal Line)", type=input.bool, defval=true) // Plot colors col_grow_above = #26A69A col_grow_below = #FFCDD2 col_fall_above = #B2DFDB col_fall_below = #EF5350 col_macd = #0094ff col_signal = #ff6a00 // Calculating fast_ma = sma_source ? sma(src_macd, fast_length_macd) : ema(src_macd, fast_length_macd) slow_ma = sma_source ? sma(src_macd, slow_length_macd) : ema(src_macd, slow_length_macd) macd = fast_ma - slow_ma signal = sma_signal ? sma(macd, signal_length) : ema(macd, signal_length) hist = macd - signal //plot(hist, title="Histogram", style=plot.style_columns, color=(hist>=0 ? (hist[1] < hist ? col_grow_above : col_fall_above) : (hist[1] < hist ? col_grow_below : col_fall_below) ), transp=0 ) // sar start = input(0.02) increment = input(0.02) maximum = input(0.2) var bool uptrend = na var float EP = na var float SAR = na var float AF = start var float nextBarSAR = na if bar_index > 0 firstTrendBar = false SAR := nextBarSAR if bar_index == 1 float prevSAR = na float prevEP = na lowPrev = low[1] highPrev = high[1] closeCur = close closePrev = close[1] if closeCur > closePrev uptrend := true EP := high prevSAR := lowPrev prevEP := high else uptrend := false EP := low prevSAR := highPrev prevEP := low firstTrendBar := true SAR := prevSAR + start * (prevEP - prevSAR) if uptrend if SAR > low firstTrendBar := true uptrend := false SAR := max(EP, high) EP := low AF := start else if SAR < high firstTrendBar := true uptrend := true SAR := min(EP, low) EP := high AF := start if not firstTrendBar if uptrend if high > EP EP := high AF := min(AF + increment, maximum) else if low < EP EP := low AF := min(AF + increment, maximum) if uptrend SAR := min(SAR, low[1]) if bar_index > 1 SAR := min(SAR, low[2]) else SAR := max(SAR, high[1]) if bar_index > 1 SAR := max(SAR, high[2]) nextBarSAR := SAR + AF * (EP - SAR) //plot(SAR, style=plot.style_cross, linewidth=3, color=color.orange) //plot(nextBarSAR, style=plot.style_cross, linewidth=3, color=color.aqua) //plot(strategy.equity, title="equity", color=color.red, linewidth=2, style=plot.style_areabr) //bb length_bb = input(17, minval=1) src_bb = input(close, title="Source") mult_bb = input(2.0, minval=0.001, maxval=50, title="StdDev") basis_bb = sma(src_bb, length_bb) dev_bb = mult_bb * stdev(src_bb, length_bb) upper_bb = basis_bb + dev_bb lower_bb = basis_bb - dev_bb offset = input(0, "Offset", type = input.integer, minval = -500, maxval = 500) //plot(basis_bb, "Basis", color=#872323, offset = offset) //p1_bb = plot(upper_bb, "Upper", color=color.teal, offset = offset) //p2_bb = plot(lower_bb, "Lower", color=color.teal, offset = offset) //fill(p1_bb, p2_bb, title = "Background", color=#198787, transp=95) //ema len_ema = input(10, minval=1, title="Length") src_ema = input(close, title="Source") offset_ema = input(title="Offset", type=input.integer, defval=0, minval=-500, maxval=500) out_ema = ema(src_ema, len_ema) //plot(out_ema, title="EMA", color=color.blue, offset=offset_ema) //out_ema e emaul //basis_bb e middle de la bb //hist e histograma // rsi cu band0 cross pt rsi // confirmarea shortCondition = (uptrend==false and crossunder(ema(src_ema, len_ema),sma(src_bb, length_bb)) and hist < 0 and vrsi < overSold) //and time_cond longCondition = (uptrend==true and crossover(ema(src_ema, len_ema),sma(src_bb, length_bb)) and hist > 0 and vrsi > overBought ) //and time_cond //tp=input(0.0025,type=input.float, title="tp") //sl=input(0.001,type=input.float, title="sl") //INDICATOR--------------------------------------------------------------------- //Average True Range (1. RISK) atr_period = input(14, "Average True Range Period") atr = atr(atr_period) strategy.initial_capital = 50000 //MONEY MANAGEMENT-------------------------------------------------------------- balance = strategy.netprofit + strategy.initial_capital //current balance floating = strategy.openprofit //floating profit/loss risk = input(2,type=input.float,title="Risk %")/100 //risk % per trade isTwoDigit = input(false,"Is this a 2 digit pair? (JPY, XAU, XPD...") equity_protector = input(1 ,type=input.float, title="Equity Protection %")/100 //equity protection % equity_protectorTP = input(2 ,type=input.float, title="Equity TP %")/100 //equity protection % multtp = input(5,type=input.float, title="multi atr tp") multsl = input(5,type=input.float, title="multi atr sl") stop = atr*100000*input(1,"SL X")* multsl //Stop level if(isTwoDigit) stop := stop/100 target = atr*100000*input(1,"TP X")*multtp //Stop level //Calculate current DD and determine if stopout is necessary equity_stopout = false if(floating<0 and abs(floating/balance)>equity_protector) equity_stopout := true equity_stopout2 = false if(floating>0 and abs(floating/balance)>equity_protectorTP) equity_stopout2 := true //Calculate the size of the next trade temp01 = balance * risk //Risk in USD temp02 = temp01/stop //Risk in lots temp03 = temp02*100000 //Convert to contracts size = temp03 - temp03%1000 //Normalize to 1000s (Trade size) if(size < 10000) size := 10000 //Set min. lot size //TRADE EXECUTION--------------------------------------------------------------- strategy.close_all(equity_stopout, comment="equity sl", alert_message = "equity_sl") //Close all trades w/equity protector //strategy.close_all(equity_stopout2, comment="equity tp", alert_message = "equity_tp") //Close all trades w/equity protector is_open = strategy.opentrades > 0 strategy.entry("long",true,oca_name="a",when=longCondition and not is_open) //Long entry strategy.entry("short",false,oca_name="a",when=shortCondition and not is_open) //Short entry strategy.exit("exit_long","long",loss=stop, profit=target) //Long exit (stop loss) strategy.close("long",when=shortCondition) //Long exit (exit condition) strategy.exit("exit_short","short",loss=stop, profit=target) //Short exit (stop loss) strategy.close("short",when=longCondition) //Short exit (exit condition) //strategy.entry("long", strategy.long,size,when=longCondition , comment="long" , alert_message = "long") //strategy.entry("short", strategy.short, size,when=shortCondition , comment="short" , alert_message = "short") //strategy.exit("closelong", "long" , profit = close * tp / syminfo.mintick, alert_message = "closelong") //strategy.exit("closeshort", "short" , profit = close * tp / syminfo.mintick, alert_message = "closeshort") //strategy.exit("closelong", "long" ,size, profit = close * tp / syminfo.mintick, loss = close * sl / syminfo.mintick, alert_message = "closelong") //strategy.exit("closeshort", "short" , size, profit = close * tp / syminfo.mintick, loss = close * sl / syminfo.mintick, alert_message = "closeshort") //strategy.close("long" , when=not (time_cond), comment="time", alert_message = "closelong" ) //strategy.close("short" , when=not (time_cond), comment="time", alert_message = "closeshort") //strategy.close_all(when=not (time_cond), comment ='time')