Sumber dimuat naik... memuat...

Strategi Kuantitatif Jangka Panjang Berdasarkan Pembalikan Julat Volatiliti

Penulis:ChaoZhang, Tarikh: 2023-09-15 11:34:45
Tag:

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:

  1. Mengira jalur purata bergerak tengah, atas dan bawah.

  2. Isyarat beli dihasilkan apabila harga pecah melalui jalur bawah.

  3. Isyarat jual dihasilkan apabila harga memecahkan band atas.

  4. Keluar boleh berada pada isyarat jual atau rehat band atas.

  5. 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)))

Lebih lanjut