この記事では,逆転を特定するために波動帯を使用した長期的定量的な取引戦略を詳細に説明します.価格が下の帯を突破すると,上向きの動きに乗るには長いポジションが必要です.
I. 戦略の論理
基本指標は,以下のように計算される波動性帯です.
中間,上位,下位移動平均帯を計算する.
価格が下帯を突破すると買い信号が発生します
売り信号は価格が上位帯を突破すると生成されます.
出口は売り信号や上部帯の断片でできます
ストップ・ロスは固定パーセントです
これは,下落段階への購入を許可し,その後,利益を取ることまたは逆転を資本化するために止まる.
戦略の利点
最大の利点は,技術分析の成熟した技術である逆転点を特定するために波動性帯を使用することです.
ストップ・ロスのメカニズムも使えます.
最後にピラミッド構造は 逆転後も 利益の段階化に貢献します
III.潜在的なリスク
しかし,いくつかの潜在的な問題があります.
まず,移動平均値には遅延があり 最良エントリータイミングを逃す可能性があります
2つ目は 利益の引き上げとストップロスのレベルは 慎重に最適化する必要があります
最後に,長期保持期間は,一定の引き上げに耐えることを意味します.
IV.要約
概要として,この記事では,逆転をキャピタライズするために波動性帯を使用した長期的定量的な取引戦略を説明しました.長期保有の逆転機会を効果的に検出できます.しかし,MA遅延のようなリスクは予防が必要であり,出口には最適化が必要です.全体として,堅牢な長期取引アプローチを提供します.
/*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)))