Artikel ini menerangkan secara terperinci strategi perdagangan kuantitatif jangka panjang menggunakan jalur turun naik untuk mengenal pasti pembalikan.
I. Logik Strategi
Penunjuk teras adalah rentang turun naik, dikira sebagai:
Mengira jalur purata bergerak tengah, atas dan bawah.
Isyarat beli dihasilkan apabila harga pecah melalui jalur bawah.
Isyarat jual dihasilkan apabila harga memecahkan band atas.
Keluar boleh berada pada isyarat jual atau rehat band atas.
Stop loss adalah peratusan tetap.
Ini membolehkan pembelian ke fasa menurun, kemudian keluar melalui mengambil keuntungan atau berhenti untuk memanfaatkan pembalikan.
II. Kelebihan Strategi
Kelebihan terbesar adalah menggunakan jalur turun naik untuk mengenal pasti titik pembalikan, teknik analisis teknikal yang matang.
Satu lagi kelebihan adalah mekanisme stop loss untuk mengawal risiko setiap perdagangan.
Akhirnya, piramida juga membantu tahap dalam keuntungan selepas pembalikan.
III. Risiko yang berpotensi
Walau bagaimanapun, terdapat beberapa isu yang berpotensi:
Pertama, purata bergerak mempunyai kelewatan dan boleh menyebabkan masa kemasukan terbaik terlewat.
Kedua, tahap mengambil keuntungan dan stop loss memerlukan pengoptimuman yang teliti.
Akhirnya, tempoh penahan yang panjang bermakna bertahan dengan penggunaan tertentu.
IV. Ringkasan
Ringkasnya, artikel ini telah menerangkan strategi perdagangan kuantitatif jangka panjang menggunakan jalur turun naik untuk memanfaatkan pembalikan. Ia dapat dengan berkesan mengesan peluang pembalikan untuk pegangan jangka panjang. Tetapi risiko seperti lag MA memerlukan pencegahan, dan pengoptimuman diperlukan untuk keluar. Secara keseluruhan ia menyediakan pendekatan perdagangan jangka panjang yang kukuh.
/*backtest start: 2023-09-07 00:00:00 end: 2023-09-12 04:00:00 period: 14m 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/ // © ediks123 //strategy logic has been borrowed from ceyhun and tweaked the settings for back testing //@version=4 //SPY 4 hrs settings 8, 13 , 3.33 , 0.9 on 4 hrs chart //QQQ above settings is good , but 13, 13 has less number of bars //QQQ 4 hrs settings 13, 13 , 3.33 , 0.9 on 4 hrs chart strategy(title="Volatility Bands Reversal Strategy", shorttitle="VolatilityBandReversal" , overlay=true, pyramiding=2, default_qty_type=strategy.percent_of_equity, default_qty_value=20, initial_capital=10000, currency=currency.USD) //default_qty_value=10, default_qty_type=strategy.fixed, av = input(8, title="Band Average") vp = input(13, title="Volatility Period") df = input(3.33,title="Deviation Factor",minval=0.1) lba = input(0.9,title="Lower Band Adjustment",minval=0.1) riskCapital = input(title="Risk % of capital", defval=10, minval=1) stopLoss=input(6,title="Stop Loss",minval=1) exitOn=input(title="Exit on", defval="touch_upperband", options=["Sell_Signal", "touch_upperband"]) src = hlc3 typical = src >= src[1] ? src - low[1] : src[1] - low deviation = sum( typical , vp )/ vp * df devHigh = ema(deviation, av) devLow = lba * devHigh medianAvg = ema(src, av) emaMediaAvg=ema(medianAvg, av) upperBandVal= emaMediaAvg + devHigh lowerbandVal= emaMediaAvg - devLow MidLineVal=sma(medianAvg, av) UpperBand = plot ( upperBandVal, color=#EE82EE, linewidth=2, title="UpperBand") LowerBand = plot ( lowerbandVal , color=#EE82EE, linewidth=2, title="LowerBand") MidLine = plot (MidLineVal, color=color.blue, linewidth=2, title="MidLine") buyLine = plot ( (lowerbandVal + MidLineVal )/2 , color=color.blue, title="BuyLine") up=ema(medianAvg, av) + devHigh down=ema(medianAvg, av) - devLow ema50=ema(hlc3,50) plot ( ema50, color=color.orange, linewidth=2, title="ema 50") //outer deviation //deviation1 = sum( typical , vp )/ vp * 4 //devHigh1 = ema(deviation, av) //devLow1 = lba * devHigh //medianAvg1 = ema(src, av) //UpperBand1 = plot (emaMediaAvg + devHigh1, color=color.red, linewidth=3, title="UpperBand1") //LowerBand1 = plot (emaMediaAvg - devLow1, color=color.red, linewidth=3, title="LowerBand1") // ///Entry Rules //1)First candle close below the Lower Band of the volatility Band //2)Second candle close above the lower band //3)Third Candle closes above previous candle Buy = close[2] < down[2] and close[1]>down[1] and close>close[1] //plotshape(Buy,color=color.blue,style=shape.arrowup,location=location.belowbar, text="Buy") //barcolor(close[2] < down[2] and close[1]>down[1] and close>close[1] ? color.blue :na ) //bgcolor(close[2] < down[2] and close[1]>down[1] and close>close[1] ? color.green :na ) ///Exit Rules //1)One can have a static stops initially followed by an trailing stop based on the risk the people are willing to take //2)One can exit with human based decisions or predefined target exits. Choice of deciding the stop loss and profit targets are left to the readers. Sell = close[2] > up[2] and close[1]<up[1] and close<close[1] //plotshape(Sell,color=color.red,style=shape.arrowup,text="Sell") barcolor(close[2] > up[2] and close[1]<up[1] and close<close[1] ? color.yellow :na ) bgcolor(close[2] > up[2] and close[1]<up[1] and close<close[1] ? color.red :na ) //Buyer = crossover(close,Buy) //Seller = crossunder(close,Sell) //alertcondition(Buyer, title="Buy Signal", message="Buy") //alertcondition(Seller, title="Sell Signal", message="Sell") //Entry-- //Echeck how many units can be purchased based on risk manage ment and stop loss qty1 = (strategy.equity * riskCapital / 100 ) / (close*stopLoss/100) //check if cash is sufficient to buy qty1 , if capital not available use the available capital only qty1:= (qty1 * close >= strategy.equity ) ? (strategy.equity / close) : qty1 strategy.entry(id="vbLE", long=true, qty=qty1, when=Buy) bgcolor(strategy.position_size>=1 ? color.blue : na) // stop loss exit stopLossVal = strategy.position_size>=1 ? strategy.position_avg_price * ( 1 - (stopLoss/100) ) : 0.00 //draw initil stop loss plot(strategy.position_size>=1 ? stopLossVal : na, color = color.purple , style=plot.style_linebr, linewidth = 2, title = "stop loss") //, trackprice=true) strategy.close(id="vbLE", comment="SL exit Loss is "+tostring(close - strategy.position_avg_price, "###.##") , when=abs(strategy.position_size)>=1 and close < stopLossVal ) //close on Sell_Signal strategy.close(id="vbLE", comment="Profit is : "+tostring(close - strategy.position_avg_price, "###.##") , when=strategy.position_size>=1 and exitOn=="Sell_Signal" and Sell) //close on touch_upperband strategy.close(id="vbLE", comment="Profit is : "+tostring(close - strategy.position_avg_price, "###.##") , when=strategy.position_size>=1 and exitOn=="touch_upperband" and (crossover(close, up) or crossover(high, up)))