Strategi ini menjana isyarat beli dan jual dengan mengira dua jenis purata bergerak yang berbeza di dua bingkai masa yang berbeza.
Strategi ini menggunakan dua purata bergerak, purata bergerak pantas dan purata bergerak perlahan. Jangka masa purata bergerak pantas harus lebih besar daripada atau sama dengan jangka masa carta. Apabila purata bergerak pantas melintasi di atas purata bergerak perlahan, isyarat beli dihasilkan. Apabila purata bergerak pantas melintasi di bawah purata bergerak perlahan, isyarat jual dihasilkan.
Pengguna boleh memilih dari pelbagai jenis purata bergerak seperti SMA, EMA, KAMA dan lain-lain, dan jangka masa boleh berbeza.
Kelebihan terbesar strategi ini adalah bahawa ia membolehkan penyesuaian mudah parameter untuk bereksperimen dengan kombinasi yang berbeza untuk mencari tetapan parameter terbaik.
Pengguna boleh bebas memilih jenis, panjang, jangka masa kedua-dua purata bergerak. Sistem mengira dan memaparkan hasil dalam masa nyata. Ini jauh lebih mudah daripada menguji strategi dengan kombinasi parameter yang berbeza.
Juga, fungsi stop loss / mengambil keuntungan yang terbina dalam membantu mengurangkan risiko dan meningkatkan keuntungan.
Risiko terbesar strategi ini adalah bahawa tetapan parameter yang tidak betul boleh mengakibatkan isyarat perdagangan yang terlalu kerap, sehingga meningkatkan kos dagangan dan kerugian seluncur.
Juga, purata bergerak berganda sendiri cenderung memberikan isyarat palsu.
Risiko ini boleh dikurangkan dengan mengoptimumkan parameter dan menggabungkan dengan penunjuk lain.
Pertimbangkan untuk menambah penunjuk lain seperti RSI untuk menapis isyarat beli / jual di atas purata bergerak berganda. Ini dapat membantu mengurangkan isyarat palsu.
Parameter purata bergerak juga boleh dioptimumkan melalui latihan untuk mencari kombinasi terbaik.
Ini adalah kotak pasir yang sangat baik untuk bereksperimen dengan purata bergerak berganda. Kelebihannya yang terbesar adalah pengulangan cepat kombinasi parameter yang berbeza untuk mencari strategi perdagangan yang terbaik. Sudah tentu terdapat juga risiko tetapan parameter yang tidak betul, yang boleh dikurangkan dengan menambah penapis penunjuk. Pengoptimuman strategi ini lebih lanjut berpotensi membawa kepada prestasi perdagangan yang lebih baik.
/*backtest start: 2023-01-28 00:00:00 end: 2024-02-03 00:00:00 period: 1d basePeriod: 1h exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}] */ // This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License https://creativecommons.org/licenses/by-sa/4.0/ // © dman103 // A moving averages SandBox strategy where you can experiment using two different moving averages (like KAMA, ALMA, HMA, JMA, VAMA and more) on different time frames to generate BUY and SELL signals, when they cross. // Great sandbox for experimenting with different moving averages and different time frames. // // == How to use == // We select two types of moving averages on two different time frames: // // First is the FAST moving average that should be at the same time frame or higher. // Second is the SLOW moving average that should be on the same time frame or higher. // When FAST moving average cross over the SLOW moving average we have a BUY signal (for LONG) // When FAST moving average cross under the SLOW moving average we have a SELL signal (for SHORT) // WARNING: Using a lower time frame than your chart time frame will result in unrealistic results in your backtesting and bar replay. // == NOTES == // You can select BOTH, LONG, SHORT or NONE in the strategy settings. // You can also enable Stop Loss and Take Profit. // More sandboxes to come, Follow to get notified. // Can also act as indicator by settings 'What trades should be taken' to 'NONE' //@version=4 strategy("Multi MA MTF SandBox Strategy","Multi MA SandBox",overlay=true) tradeType = input("LONG", title="What trades should be taken:", options=["LONG", "SHORT", "BOTH", "NONE"]) fast_title = input(true, title='---------------- Fast Moving Average (BLUE)----------------', type=input.bool) ma_select1 = input(title="First Slow moving average", defval="EMA", options=["SMA", "EMA", "WMA", "HMA", "JMA", "KAMA", "TMA", "VAMA", "SMMA", "DEMA" , "VMA", "WWMA", "EMA_NO_LAG", "TSF","ALMA"]) resma_fast = input(title="First Time Frame", type=input.resolution, defval="") lenma_fast = input(title="First MA Length", type=input.integer, defval=6) slow_title = input(true, title='---------------- Slow Moving Average (YELLOW)----------------', type=input.bool) ma_select2 = input(title="Second Fast moving average", defval="JMA", options=["SMA", "EMA", "WMA", "HMA", "JMA", "KAMA", "TMA", "VAMA", "SMMA", "DEMA" , "VMA", "WWMA", "EMA_NO_LAG", "TSF","ALMA"]) resma_slow = input(title="Second time frame", type=input.resolution, defval="") lenma_slow = input(title="Second MA length", type=input.integer, defval=14) settings = input(true, title='---------------- Other Settings ----------------', type=input.bool) lineWidth = input(2,title="Line Width") colorTransparency=input(50,title="Color Transparency",step=10,minval=0,maxval=100) color_fast=input(color.blue,type=input.color) color_slow=input(color.yellow,type=input.color) fillColor = input(title="Fill Color", type=input.bool, defval=true) IndicatorSettings = input(true, title='---------------- Indicators Settings ----------------', type=input.bool) offset=input(title="Alma Offset (only for ALMA)",defval=0.85, step=0.05) volatility_lookback =input(title="Volatility lookback (only for VAMA)",defval=12) i_fastAlpha = input(1.25,"KAMA's alpha (only for KAMA)", minval=1,step=0.25) fastAlpha = 2.0 / (i_fastAlpha + 1) slowAlpha = 2.0 / (31) ///////Moving Averages MA_selector(src, length,ma_select) => ma = 0.0 if ma_select == "SMA" ma := sma(src, length) ma if ma_select == "EMA" ma := ema(src, length) ma if ma_select == "WMA" ma := wma(src, length) ma if ma_select == "HMA" ma := hma(src,length) ma if ma_select == "JMA" beta = 0.45*(length-1)/(0.45*(length-1)+2) alpha = beta tmp0 = 0.0, tmp1 = 0.0, tmp2 = 0.0, tmp3 = 0.0, tmp4 = 0.0 tmp0 := (1-alpha)*src + alpha*nz(tmp0[1]) tmp1 := (src - tmp0[0])*(1-beta) + beta*nz(tmp1[1]) tmp2 := tmp0[0] + tmp1[0] tmp3 := (tmp2[0] - nz(tmp4[1]))*((1-alpha)*(1-alpha)) + (alpha*alpha)*nz(tmp3[1]) tmp4 := nz(tmp4[1]) + tmp3[0] ma := tmp4 ma if ma_select == "KAMA" momentum = abs(change(src, length)) volatility = sum(abs(change(src)), length) efficiencyRatio = volatility != 0 ? momentum / volatility : 0 smoothingConstant = pow((efficiencyRatio * (fastAlpha - slowAlpha)) + slowAlpha, 2) var kama = 0.0 kama := nz(kama[1], src) + smoothingConstant * (src - nz(kama[1], src)) ma:=kama ma if ma_select == "TMA" ma := sma(sma(src, ceil(length / 2)), floor(length / 2) + 1) ma if ma_select == "VMA" valpha=2/(length+1) vud1=src>src[1] ? src-src[1] : 0 vdd1=src<src[1] ? src[1]-src : 0 vUD=sum(vud1,9) vDD=sum(vdd1,9) vCMO=nz((vUD-vDD)/(vUD+vDD)) VAR=0.0 VAR:=nz(valpha*abs(vCMO)*src)+(1-valpha*abs(vCMO))*nz(VAR[1]) ma := VAR ma if ma_select == "WWMA" wwalpha = 1/ length WWMA = 0.0 WWMA := wwalpha*src + (1-wwalpha)*nz(WWMA[1]) ma := WWMA ma if ma_select == "EMA_NO_LAG" EMA1= ema(src,length) EMA2= ema(EMA1,length) Difference= EMA1 - EMA2 ma := EMA1 + Difference ma if ma_select == "TSF" lrc = linreg(src, length, 0) lrc1 = linreg(src,length,1) lrs = (lrc-lrc1) TSF = linreg(src, length, 0)+lrs ma := TSF ma if ma_select =="VAMA" // Volatility Adjusted from @fractured mid=ema(src,length) dev=src-mid vol_up=highest(dev,volatility_lookback) vol_down=lowest(dev,volatility_lookback) ma := mid+avg(vol_up,vol_down) ma if ma_select == "SMMA" smma = float (0.0) smaval=sma(src, length) smma := na(smma[1]) ? smaval : (smma[1] * (length - 1) + src) / length ma := smma if ma_select == "DEMA" e1 = ema(src, length) e2 = ema(e1, length) ma := 2 * e1 - e2 ma if ma_select == "ALMA" ma := alma(src, length,offset, 6) ma ma // Calculate EMA ma_fast = MA_selector(close, lenma_fast,ma_select1) ma_slow = MA_selector(close, lenma_slow,ma_select2) maFastStep = security(syminfo.tickerid, resma_fast, ma_fast) maSlowStep = security(syminfo.tickerid, resma_slow, ma_slow) ma1_plot=plot(maFastStep, color=color_fast,linewidth=lineWidth,transp=colorTransparency) ma2_plot=plot(maSlowStep, color=color_slow,linewidth=lineWidth,transp=colorTransparency) colors=ma_fast>ma_slow ? color.green : color.red fill(ma1_plot,ma2_plot, color=fillColor? colors: na,transp=colorTransparency+15) closeStatus = strategy.openprofit > 0 ? "win" : "lose" ////////Long Rules long = crossover(maFastStep,maSlowStep) and (tradeType == "LONG" or tradeType == "BOTH") longClose =crossunder(maFastStep,maSlowStep)//and falling(maSlowStep,1) ///////Short Rules short =crossunder(maFastStep,maSlowStep) and (tradeType == "SHORT" or tradeType == "BOTH") shortClose = crossover(maFastStep,maSlowStep) longShape= crossover(maFastStep,maSlowStep) and tradeType == "NONE" shortShape = crossunder(maFastStep,maSlowStep) and tradeType == "NONE" plotshape(longShape, style=shape.triangleup,location=location.belowbar, color=color.lime,size=size.small) plotshape(shortShape,style=shape.triangledown,location=location.abovebar, color=color.red,size=size.small) // === Stop LOSS === useStopLoss = input(false, title='----- Add Stop Loss / Take profit -----', type=input.bool) sl_inp = input(2.5, title='Stop Loss %', type=input.float, step=0.1)/100 tp_inp = input(5, title='Take Profit %', type=input.float, step=0.1)/100 stop_level = strategy.position_avg_price * (1 - sl_inp) take_level = strategy.position_avg_price * (1 + tp_inp) stop_level_short = strategy.position_avg_price * (1 + sl_inp) take_level_short = strategy.position_avg_price * (1 - tp_inp) if (long) strategy.entry("long", strategy.long) if (short) strategy.entry("short", strategy.short) strategy.close ("long", when = longClose, comment=closeStatus) strategy.close ("short", when = shortClose, comment=closeStatus) if (useStopLoss) strategy.exit("Stop Loss/Profit Long","long", stop=stop_level, limit=take_level,comment =closeStatus ) strategy.exit("Stop Loss/Profit Short","short", stop=stop_level_short, limit=take_level_short, comment = closeStatus)