Versi Python dari Strategi Hedge Bollinger Intertemporal Commodity Futures (Hanya untuk tujuan kajian)

Strategi arbitraj intertemporal yang telah ditulis sebelum ini memerlukan input manual spread lindung nilai untuk membuka dan menutup kedudukan. menilai perbezaan harga adalah lebih subjektif. Dalam artikel ini, kita akan menukar strategi lindung nilai sebelumnya kepada strategi menggunakan penunjuk BOLL untuk membuka dan menutup kedudukan.

class Hedge:
    'Hedging control class'
    def __init__(self, q, e, initAccount, symbolA, symbolB, maPeriod, atrRatio, opAmount):
        self.q = q 
        self.initAccount = initAccount
        self.status = 0
        self.symbolA = symbolA
        self.symbolB = symbolB
        self.e = e
        self.isBusy = False 
        
        self.maPeriod = maPeriod
        self.atrRatio = atrRatio
        self.opAmount = opAmount
        self.records = []
        self.preBarTime = 0
        
    def poll(self):
        if (self.isBusy or not exchange.IO("status")) or not ext.IsTrading(self.symbolA):
            Sleep(1000)
            return 

        insDetailA = exchange.SetContractType(self.symbolA)
        if not insDetailA:
            return 

        recordsA = exchange.GetRecords()
        if not recordsA:
            return 

        insDetailB = exchange.SetContractType(self.symbolB)
        if not insDetailB:
            return 

        recordsB = exchange.GetRecords()
        if not recordsB:
            return 

        # Calculate the spread price K line
        if recordsA[-1]["Time"] != recordsB[-1]["Time"]:
            return 

        minL = min(len(recordsA), len(recordsB))
        rA = recordsA.copy()
        rB = recordsB.copy()

        rA.reverse()
        rB.reverse()
        count = 0
        
        arrDiff = []
        for i in range(minL):
            arrDiff.append(rB[i]["Close"] - rA[i]["Close"])
        arrDiff.reverse()
        if len(arrDiff) < self.maPeriod:
            return 

        # Calculate Bollinger Bands indicator
        boll = TA.BOLL(arrDiff, self.maPeriod, self.atrRatio)

        ext.PlotLine("upper trail", boll[0][-2], recordsA[-2]["Time"])
        ext.PlotLine("middle trail", boll[1][-2], recordsA[-2]["Time"])
        ext.PlotLine("lower trail", boll[2][-2], recordsA[-2]["Time"])
        ext.PlotLine("Closing price spread", arrDiff[-2], recordsA[-2]["Time"])

        LogStatus(_D(), "upper trail:", boll[0][-1], "\n", "middle trail:", boll[1][-1], "\n", "lower trail:", boll[2][-1], "\n", "Current closing price spread:", arrDiff[-1])
        
        action = 0
        # Signal trigger
        if self.status == 0:
            if arrDiff[-1] > boll[0][-1]:
                Log("Open position A buy B sell", ", A latest price:", recordsA[-1]["Close"], ", B latest price:", recordsB[-1]["Close"], "#FF0000")
                action = 2
                # Add chart markers
                ext.PlotFlag(recordsA[-1]["Time"], "A buy B sell", "Positive")
            elif arrDiff[-1] < boll[2][-1]:
                Log("Open position A sell B buy", ", A latest price:", recordsA[-1]["Close"], ", B latest price:", recordsB[-1]["Close"], "#FF0000")
                action = 1
                # Add chart markers
                ext.PlotFlag(recordsA[-1]["Time"], "A sell B buy", "Negative")
        elif self.status == 1 and arrDiff[-1] > boll[1][-1]:
            Log("Close position A buy B sell", ", A latest price:", recordsA[-1]["Close"], ", B latest price:", recordsB[-1]["Close"], "#FF0000")
            action = 2
            # Add chart markers
            ext.PlotFlag(recordsA[-1]["Time"], "A buy B sell", "Close Negative")
        elif self.status == 2 and arrDiff[-1] < boll[1][-1]:
            Log("Close position A sell B buy", ", A latest price:", recordsA[-1]["Close"], ", B latest price:", recordsB[-1]["Close"], "#FF0000")
            action = 1 
            # Add chart markers
            ext.PlotFlag(recordsA[-1]["Time"], "A sell B buy", "Close Positive")


        # Execute specific instructions
        if action == 0:
            return 
        
        self.isBusy = True
        tasks = []
        if action == 1:
            tasks.append([self.symbolA, "sell" if self.status == 0 else "closebuy"])
            tasks.append([self.symbolB, "buy" if self.status == 0 else "closesell"])
        elif action == 2:
            tasks.append([self.symbolA, "buy" if self.status == 0 else "closesell"])
            tasks.append([self.symbolB, "sell" if self.status == 0 else "closebuy"])

        def callBack(task, ret):
            def callBack(task, ret):
                self.isBusy = False
                if task["action"] == "sell":
                    self.status = 2
                elif task["action"] == "buy":
                    self.status = 1
                else:
                    self.status = 0
                    account = _C(exchange.GetAccount)
                    LogProfit(account["Balance"] - self.initAccount["Balance"], account)
            self.q.pushTask(self.e, tasks[1][0], tasks[1][1], self.opAmount, callBack)

        self.q.pushTask(self.e, tasks[0][0], tasks[0][1], self.opAmount, callBack)



def main():
    SetErrorFilter("ready|login|timeout")
    Log("Connecting to the trading server...")
    while not exchange.IO("status"):
        Sleep(1000)

    Log("Successfully connected to the trading server")
    initAccount = _C(exchange.GetAccount)
    Log(initAccount)

    def callBack(task, ret):
        Log(task["desc"], "success" if ret else "failure")

    q = ext.NewTaskQueue(callBack)
    p = ext.NewPositionManager()
    if CoverAll:
        Log("Start closing all remaining positions...")
        p.CoverAll()
        Log("Operation complete")

    t = Hedge(q, exchange, initAccount, SA, SB, MAPeriod, ATRRatio, OpAmount)
    while True:
        q.poll()
        t.poll()

Tetapan parameter strategi:

Rangka strategi keseluruhan pada dasarnya sama denganVersi Python strategi lindung nilai intertemporal niaga hadapan komoditi, kecuali bahawa parameter penunjuk BOLL yang sepadan ditambahkan. Apabila strategi berjalan, data K-line kedua-dua kontrak diperoleh, dan kemudian perbezaan harga dikira untuk mengira spread.TA.BOLLfungsi untuk mengira Bollinger Bands. Apabila penyebaran melebihi rel atas Bollinger Band, ia akan dilindungi, dan apabila ia menyentuh rel bawah, ia akan menentang operasi. Apabila memegang kedudukan, sentuh rel tengah untuk menutup kedudukan.

Ujian belakang:

Artikel ini digunakan terutamanya untuk tujuan kajian sahaja. Strategi lengkap:https://www.fmz.com/strategy/213826