This strategy integrates MACD, RSI, PSAR and other technical indicators together with the dynamic money management methodology to track trends and make reversal trades across multiple timeframes. The strategy can be applied for short-term, medium-term and long-term trading.
The strategy uses PSAR indicator to determine the trend direction. The crossover between EMA and BB middle line serves as the first confirmation point. MACD histogram direction acts as the second confirmation point. RSI overbought and oversold areas serve as the third confirmation point. Trading signals are generated when all the above conditions are met.
After entering the position, take profit and stop loss points are set. The stop loss point is determined by multiplying ATR value by a fixed number. The take profit point is calculated in the same way. Meanwhile, floating loss percentage stop loss is set. When the loss reaches a certain percentage of total account equity, the stop loss will be triggered.
There is also percentage setting for floating profit. When profit reaches a certain percentage of total account equity, take profit will be triggered.
Dynamic money management calculates position size based on total account equity, ATR value and the multiplier used for stop loss. Minimum trading quantity is also set.
Multiple factor confirmation avoids false breakouts and improves entry accuracy.
Dynamic money management controls single trade risk and protects the account effectively.
Stop loss and take profit points are set according to ATR, which can be adjusted based on market volatility.
Floating loss and profit percentage settings lock in profits and prevent pullbacks.
Multiple factor combinations may miss some trading opportunities.
High percentage settings can lead to greater losses.
Improper ATR value settings may result in stop loss and take profit points that are too wide or too aggressive.
Improper money management settings may lead to excessively large position sizes.
Adjust factor weights to improve signal accuracy.
Test different percentage parameter settings to find optimal combinations.
Select reasonable ATR multipliers based on different product characteristics.
Dynamically adjust money management parameters based on backtest results.
Optimize timeframe settings and test trading sessions.
This strategy integrates multiple technical indicators for trend determination and adds dynamic money management to control risks, realizing steady profits across multiple timeframes. It can be further optimized by adjusting factor weights, risk control parameters and money management settings based on backtest results.
/*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')