Versi Python strategi lindung nilai intertemporal niaga hadapan komoditi

Dipindahkan dari versi JavaScriptCommodity Futures Intertemporal Hedging - Ratusan baris pelaksanaan kod, strategi ini adalah strategi pengajaran yang mudah, bertujuan untuk menunjukkan reka bentuk strategi niaga hadapan komoditi dalam bahasa Python.

class Hedge:
    'Hedging control class'
    def __init__(self, q, e, initAccount, symbolA, symbolB, hedgeSpread, coverSpread):
        self.q = q 
        self.initAccount = initAccount
        self.status = 0
        self.symbolA = symbolA
        self.symbolB = symbolB
        self.e = e
        self.isBusy = False 
        self.hedgeSpread = hedgeSpread
        self.coverSpread = coverSpread
        self.opAmount = OpAmount 
        
    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 

        tickerA = exchange.GetTicker()
        if not tickerA:
            return 

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

        tickerB = exchange.GetTicker()
        if not tickerB:
            return 

        LogStatus(_D(), "A sell B buy", _N(tickerA["Buy"] - tickerB["Sell"]), "A buy B sell", _N(tickerA["Sell"] - tickerB["Buy"]))
        action = 0

        if self.status == 0:
            if (tickerA["Buy"] - tickerB["Sell"]) > self.hedgeSpread:
                Log("open position A sell B buy", tickerA["Buy"], tickerB["Sell"], "#FF0000")
                action = 1
            elif (tickerB["Buy"] - tickerA["Sell"]) > self.hedgeSpread:
                Log("open position B sell A buy", tickerB["Buy"], tickerA["Sell"], "#FF0000")
                action = 2
        elif self.status == 1 and (tickerA["Sell"] - tickerB["Buy"]) <= self.coverSpread:
            Log("close position A buy B sell", tickerA["Sell"], tickerB["Buy"], "#FF0000")
            action = 2
        elif self.status == 2 and (tickerB["Sell"] - tickerA["Buy"]) <= self.coverSpread:
            Log("close position B buy A sell", tickerB["Sell"] - tickerA["Buy"], "#FF0000")
            action = 1 

        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)
    n = 0 

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

    q = ext.NewTaskQueue(callBack)

    if CoverAll:
        Log("Start closing all remaining positions...")
        ext.NewPositionManager().CoverAll()
        Log("Operation complete")

    t = Hedge(q, exchange, initAccount, SA, SB, HedgeSpread, CoverSpread)
    while True:
        q.poll()
        t.poll()

Hanya mentransplantasikan kod, ia terasa sedikit terlalu mudah, kita terus melakukan beberapa transformasi, menambah carta kepada strategi perdagangan ini.

Tambah kod berikut sebelum kedudukan di manaLogStatusfungsi dipanggil untuk membuat perbezaan harga masa nyata ke dalam statistik K-garis.self.preBarTimeadalah ahli yang ditambahkan olehHedgeUntuk lukisan, kita menggunakan Drawing Class library, langsung memanggil antara muka lukisan, anda boleh dengan mudah melukis carta.

# Calculate the spread K line
        r = exchange.GetRecords()
        if not r:
            return 
        diff = tickerB["Last"] - tickerA["Last"]
        if r[-1]["Time"] != self.preBarTime:
            # Update
            self.records.append({"Time": r[-1]["Time"], "High": diff, "Low": diff, "Open": diff, "Close": diff, "Volume": 0})
            self.preBarTime = r[-1]["Time"]
        if diff > self.records[-1]["High"]:
            self.records[-1]["High"] = diff
        if diff < self.records[-1]["Low"]:
            self.records[-1]["Low"] = diff
        self.records[-1]["Close"] = diff
        ext.PlotRecords(self.records, "diff:B-A")
        ext.PlotHLine(self.hedgeSpread if diff > 0 else -self.hedgeSpread, "hedgeSpread")
        ext.PlotHLine(self.coverSpread if diff > 0 else -self.coverSpread, "coverSpread")

Kesan pengujian balik:

Seterusnya, kita akan menambah fungsi interaktif, supaya strategi boleh mengubah suaiHedgeSpreaddanCoverSpreadanda juga memerlukan butang untuk menutup kedudukan dengan satu klik. kami menambah kawalan ini pada halaman penyuntingan strategi.

Kemudian dalam gelung utama strategi, selepasq.poll(), t.poll()Hubungi, tambah kod kawalan interaktif.

while True:
        q.poll()
        t.poll()
        # The following interactive control code
        cmd = GetCommand()
        if cmd:
            arr = cmd.split(":")
            if arr[0] == "AllCover":
                p.CoverAll()
            elif arr[0] == "SetHedgeSpread":
                t.SetHedgeSpread(float(arr[1]))
            elif arr[0] == "SetCoverSpread":
                t.SetCoverSpread(float(arr[1]))

anda boleh menyalin keseluruhan strategi perdagangan di sini:https://www.fmz.com/strategy/211504