파이썬 버전 상품 선물 이동 평균 전략
저자:선함, 2020-05-28 13:17:45로 제작, 2023-11-02 19:57:32로 업데이트
가장 간단한 전략으로서, 이동 평균 전략은 진보 된 알고리즘과 복잡한 논리가 없기 때문에 배우는 것이 매우 쉽습니다. 아이디어는 명확하고 쉽습니다. 초보자들도 전략 설계 연구에 더 집중할 수 있으며, 코딩 관련 부분을 제거하여 ATR, MACD, BOLL 및 기타 지표 전략으로 쉽게 확장 할 수있는 다종양 전략 프레임워크를 남겨두고 있습니다.
자바스크립트 버전과 관련된 기사:https://www.fmz.com/bbs-topic/5235.
전략 소스 코드
'''backtest
start: 2019-07-01 09:00:00
end: 2020-03-25 15:00:00
period: 1d
exchanges: [{"eid":"Futures_CTP","currency":"FUTURES"}]
'''
import json
import re
import time
_bot = ext.NewPositionManager()
class Manager:
'Strategy logic control'
ACT_IDLE = 0
ACT_LONG = 1
ACT_SHORT = 2
ACT_COVER = 3
ERR_SUCCESS = 0
ERR_SET_SYMBOL = 1
ERR_GET_ORDERS = 2
ERR_GET_POS = 3
ERR_TRADE = 4
ERR_GET_DEPTH = 5
ERR_NOT_TRADING = 6
errMsg = ["Success", "Failed to switch contract", "Failed to get order info", "Failed to get position info", "Placing Order failed", "Failed to get order depth info", "Not in trading hours"]
def __init__(self, needRestore, symbol, keepBalance, fastPeriod, slowPeriod):
# Get symbolDetail
symbolDetail = _C(exchange.SetContractType, symbol)
if symbolDetail["VolumeMultiple"] == 0 or symbolDetail["MaxLimitOrderVolume"] == 0 or symbolDetail["MinLimitOrderVolume"] == 0 or symbolDetail["LongMarginRatio"] == 0 or symbolDetail["ShortMarginRatio"] == 0:
Log(symbolDetail)
raise Exception("Abnormal contract information")
else :
Log("contract", symbolDetail["InstrumentName"], "1 lot", symbolDetail["VolumeMultiple"], "lot, Maximum placing order quantity", symbolDetail["MaxLimitOrderVolume"], "Margin rate: ", _N(symbolDetail["LongMarginRatio"]), _N(symbolDetail["ShortMarginRatio"]), "Delivery date", symbolDetail["StartDelivDate"])
# Initialization
self.symbol = symbol
self.keepBalance = keepBalance
self.fastPeriod = fastPeriod
self.slowPeriod = slowPeriod
self.marketPosition = None
self.holdPrice = None
self.holdAmount = None
self.holdProfit = None
self.task = {
"action" : Manager.ACT_IDLE,
"amount" : 0,
"dealAmount" : 0,
"avgPrice" : 0,
"preCost" : 0,
"preAmount" : 0,
"init" : False,
"retry" : 0,
"desc" : "idle",
"onFinish" : None
}
self.lastPrice = 0
self.symbolDetail = symbolDetail
# Position status information
self.status = {
"symbol" : symbol,
"recordsLen" : 0,
"vm" : [],
"open" : 0,
"cover" : 0,
"st" : 0,
"marketPosition" : 0,
"lastPrice" : 0,
"holdPrice" : 0,
"holdAmount" : 0,
"holdProfit" : 0,
"symbolDetail" : symbolDetail,
"lastErr" : "",
"lastErrTime" : "",
"isTrading" : False
}
# Other processing work during object construction
vm = None
if RMode == 0:
vm = _G(self.symbol)
else:
vm = json.loads(VMStatus)[self.symbol]
if vm:
Log("Ready to resume progress, current contract status is", vm)
self.reset(vm[0])
else:
if needRestore:
Log("could not find" + self.symbol + "progress recovery information")
self.reset()
def setLastError(self, err=None):
if err is None:
self.status["lastErr"] = ""
self.status["lastErrTime"] = ""
return
t = _D()
self.status["lastErr"] = err
self.status["lastErrTime"] = t
def reset(self, marketPosition=None):
if marketPosition is not None:
self.marketPosition = marketPosition
pos = _bot.GetPosition(self.symbol, PD_LONG if marketPosition > 0 else PD_SHORT)
if pos is not None:
self.holdPrice = pos["Price"]
self.holdAmount = pos["Amount"]
Log(self.symbol, "Position", pos)
else :
raise Exception("Restore" + self.symbol + "position status is wrong, no position information found")
Log("Restore", self.symbol, "average holding position price:", self.holdPrice, "Number of positions:", self.holdAmount)
self.status["vm"] = [self.marketPosition]
else :
self.marketPosition = 0
self.holdPrice = 0
self.holdAmount = 0
self.holdProfit = 0
self.holdProfit = 0
self.lastErr = ""
self.lastErrTime = ""
def Status(self):
self.status["marketPosition"] = self.marketPosition
self.status["holdPrice"] = self.holdPrice
self.status["holdAmount"] = self.holdAmount
self.status["lastPrice"] = self.lastPrice
if self.lastPrice > 0 and self.holdAmount > 0 and self.marketPosition != 0:
self.status["holdProfit"] = _N((self.lastPrice - self.holdPrice) * self.holdAmount * self.symbolDetail["VolumeMultiple"], 4) * (1 if self.marketPosition > 0 else -1)
else :
self.status["holdProfit"] = 0
return self.status
def setTask(self, action, amount = None, onFinish = None):
self.task["init"] = False
self.task["retry"] = 0
self.task["action"] = action
self.task["preAmount"] = 0
self.task["preCost"] = 0
self.task["amount"] = 0 if amount is None else amount
self.task["onFinish"] = onFinish
if action == Manager.ACT_IDLE:
self.task["desc"] = "idle"
self.task["onFinish"] = None
else:
if action != Manager.ACT_COVER:
self.task["desc"] = ("Adding long position" if action == Manager.ACT_LONG else "Adding short position") + "(" + str(amount) + ")"
else :
self.task["desc"] = "Closing Position"
Log("Task received", self.symbol, self.task["desc"])
self.Poll(True)
def processTask(self):
insDetail = exchange.SetContractType(self.symbol)
if not insDetail:
return Manager.ERR_SET_SYMBOL
SlideTick = 1
ret = False
if self.task["action"] == Manager.ACT_COVER:
hasPosition = False
while True:
if not ext.IsTrading(self.symbol):
return Manager.ERR_NOT_TRADING
hasPosition = False
positions = exchange.GetPosition()
if positions is None:
return Manager.ERR_GET_POS
depth = exchange.GetDepth()
if depth is None:
return Manager.ERR_GET_DEPTH
orderId = None
for i in range(len(positions)):
if positions[i]["ContractType"] != self.symbol:
continue
amount = min(insDetail["MaxLimitOrderVolume"], positions[i]["Amount"])
if positions[i]["Type"] == PD_LONG or positions[i]["Type"] == PD_LONG_YD:
exchange.SetDirection("closebuy_today" if positions[i].Type == PD_LONG else "closebuy")
orderId = exchange.Sell(_N(depth["Bids"][0]["Price"] - (insDetail["PriceTick"] * SlideTick), 2), min(amount, depth["Bids"][0]["Amount"]), self.symbol, "Close today's position" if positions[i]["Type"] == PD_LONG else "Close yesterday's position", "Bid", depth["Bids"][0])
hasPosition = True
elif positions[i]["Type"] == PD_SHORT or positions[i]["Type"] == PD_SHORT_YD:
exchange.SetDirection("closesell_today" if positions[i]["Type"] == PD_SHORT else "closesell")
orderId = exchange.Buy(_N(depth["Asks"][0]["Price"] + (insDetail["PriceTick"] * SlideTick), 2), min(amount, depth["Asks"][0]["Amount"]), self.symbol, "Close today's position" if positions[i]["Type"] == PD_SHORT else "Close yesterday's position", "Ask", depth["Asks"][0])
hasPosition = True
if hasPosition:
if not orderId:
return Manager.ERR_TRADE
Sleep(1000)
while True:
orders = exchange.GetOrders()
if orders is None:
return Manager.ERR_GET_ORDERS
if len(orders) == 0:
break
for i in range(len(orders)):
exchange.CancelOrder(orders[i]["Id"])
Sleep(500)
if not hasPosition:
break
ret = True
elif self.task["action"] == Manager.ACT_LONG or self.task["action"] == Manager.ACT_SHORT:
while True:
if not ext.IsTrading(self.symbol):
return Manager.ERR_NOT_TRADING
Sleep(1000)
while True:
orders = exchange.GetOrders()
if orders is None:
return Manager.ERR_GET_ORDERS
if len(orders) == 0:
break
for i in range(len(orders)):
exchange.CancelOrder(orders[i]["Id"])
Sleep(500)
positions = exchange.GetPosition()
if positions is None:
return Manager.ERR_GET_POS
pos = None
for i in range(len(positions)):
if positions[i]["ContractType"] == self.symbol and (((positions[i]["Type"] == PD_LONG or positions[i]["Type"] == PD_LONG_YD) and self.task["action"] == Manager.ACT_LONG) or ((positions[i]["Type"] == PD_SHORT) or positions[i]["Type"] == PD_SHORT_YD) and self.task["action"] == Manager.ACT_SHORT):
if not pos:
pos = positions[i]
pos["Cost"] = positions[i]["Price"] * positions[i]["Amount"]
else :
pos["Amount"] += positions[i]["Amount"]
pos["Profit"] += positions[i]["Profit"]
pos["Cost"] += positions[i]["Price"] * positions[i]["Amount"]
# records pre position
if not self.task["init"]:
self.task["init"] = True
if pos:
self.task["preAmount"] = pos["Amount"]
self.task["preCost"] = pos["Cost"]
else:
self.task["preAmount"] = 0
self.task["preCost"] = 0
remain = self.task["amount"]
if pos:
self.task["dealAmount"] = pos["Amount"] - self.task["preAmount"]
remain = int(self.task["amount"] - self.task["dealAmount"])
if remain <= 0 or self.task["retry"] >= MaxTaskRetry:
ret = {
"price" : (pos["Cost"] - self.task["preCost"]) / (pos["Amount"] - self.task["preAmount"]),
"amount" : (pos["Amount"] - self.task["preAmount"]),
"position" : pos
}
break
elif self.task["retry"] >= MaxTaskRetry:
ret = None
break
depth = exchange.GetDepth()
if depth is None:
return Manager.ERR_GET_DEPTH
orderId = None
if self.task["action"] == Manager.ACT_LONG:
exchange.SetDirection("buy")
orderId = exchange.Buy(_N(depth["Asks"][0]["Price"] + (insDetail["PriceTick"] * SlideTick), 2), min(remain, depth["Asks"][0]["Amount"]), self.symbol, "Ask", depth["Asks"][0])
else:
exchange.SetDirection("sell")
orderId = exchange.Sell(_N(depth["Bids"][0]["Price"] - (insDetail["PriceTick"] * SlideTick), 2), min(remain, depth["Bids"][0]["Amount"]), self.symbol, "Bid", depth["Bids"][0])
if orderId is None:
self.task["retry"] += 1
return Manager.ERR_TRADE
if self.task["onFinish"]:
self.task["onFinish"](ret)
self.setTask(Manager.ACT_IDLE)
return Manager.ERR_SUCCESS
def Poll(self, subroutine = False):
# Judge the trading hours
self.status["isTrading"] = ext.IsTrading(self.symbol)
if not self.status["isTrading"]:
return
# Perform order trading tasks
if self.task["action"] != Manager.ACT_IDLE:
retCode = self.processTask()
if self.task["action"] != Manager.ACT_IDLE:
self.setLastError("The task was not successfully processed:" + Manager.errMsg[retCode] + ", " + self.task["desc"] + ", Retry:" + str(self.task["retry"]))
else :
self.setLastError()
return
if subroutine:
return
suffix = "@" if WXPush else ""
# switch symbol
_C(exchange.SetContractType, self.symbol)
# Get K-line data
records = exchange.GetRecords()
if records is None:
self.setLastError("Failed to get K line")
return
self.status["recordsLen"] = len(records)
if len(records) < self.fastPeriod + 2 or len(records) < self.slowPeriod + 2:
self.setLastError("The length of the K line is less than the moving average period:" + str(self.fastPeriod) + "or" + str(self.slowPeriod))
return
opCode = 0 # 0 : IDLE , 1 : LONG , 2 : SHORT , 3 : CoverALL
lastPrice = records[-1]["Close"]
self.lastPrice = lastPrice
fastMA = TA.EMA(records, self.fastPeriod)
slowMA = TA.EMA(records, self.slowPeriod)
# Strategy logic
if self.marketPosition == 0:
if fastMA[-3] < slowMA[-3] and fastMA[-2] > slowMA[-2]:
opCode = 1
elif fastMA[-3] > slowMA[-3] and fastMA[-2] < slowMA[-2]:
opCode = 2
else:
if self.marketPosition < 0 and fastMA[-3] < slowMA[-3] and fastMA[-2] > slowMA[-2]:
opCode = 3
elif self.marketPosition > 0 and fastMA[-3] > slowMA[-3] and fastMA[-2] < slowMA[-2]:
opCode = 3
# If no condition is triggered, the opcode is 0 and return
if opCode == 0:
return
# Preforming closing position action
if opCode == 3:
def coverCallBack(ret):
self.reset()
_G(self.symbol, None)
self.setTask(Manager.ACT_COVER, 0, coverCallBack)
return
account = _bot.GetAccount()
canOpen = int((account["Balance"] - self.keepBalance) / (self.symbolDetail["LongMarginRatio"] if opCode == 1 else self.symbolDetail["ShortMarginRatio"]) / (lastPrice * 1.2) / self.symbolDetail["VolumeMultiple"])
unit = min(1, canOpen)
# Set up trading tasks
def setTaskCallBack(ret):
if not ret:
self.setLastError("Placing Order failed")
return
self.holdPrice = ret["position"]["Price"]
self.holdAmount = ret["position"]["Amount"]
self.marketPosition += 1 if opCode == 1 else -1
self.status["vm"] = [self.marketPosition]
_G(self.symbol, self.status["vm"])
self.setTask(Manager.ACT_LONG if opCode == 1 else Manager.ACT_SHORT, unit, setTaskCallBack)
def onexit():
Log("Exited strategy...")
def main():
if exchange.GetName().find("CTP") == -1:
raise Exception("Only support commodity futures CTP")
SetErrorFilter("login|ready|flow control|connection failed|initial|Timeout")
mode = exchange.IO("mode", 0)
if mode is None:
raise Exception("Failed to switch modes, please update to the latest docker!")
while not exchange.IO("status"):
Sleep(3000)
LogStatus("Waiting for connection with the trading server," + _D())
positions = _C(exchange.GetPosition)
if len(positions) > 0:
Log("Detecting the current holding position, the system will start to try to resume the progress...")
Log("Position information:", positions)
initAccount = _bot.GetAccount()
initMargin = json.loads(exchange.GetRawJSON())["CurrMargin"]
keepBalance = _N((initAccount["Balance"] + initMargin) * (KeepRatio / 100), 3)
Log("Asset information", initAccount, "Retain funds:", keepBalance)
tts = []
symbolFilter = {}
arr = Instruments.split(",")
arrFastPeriod = FastPeriodArr.split(",")
arrSlowPeriod = SlowPeriodArr.split(",")
if len(arr) != len(arrFastPeriod) or len(arr) != len(arrSlowPeriod):
raise Exception("The moving average period parameter does not match the number of added contracts, please check the parameters!")
for i in range(len(arr)):
symbol = re.sub(r'/\s+$/g', "", re.sub(r'/^\s+/g', "", arr[i]))
if symbol in symbolFilter.keys():
raise Exception(symbol + "Already exists, please check the parameters!")
symbolFilter[symbol] = True
hasPosition = False
for j in range(len(positions)):
if positions[j]["ContractType"] == symbol:
hasPosition = True
break
fastPeriod = int(arrFastPeriod[i])
slowPeriod = int(arrSlowPeriod[i])
obj = Manager(hasPosition, symbol, keepBalance, fastPeriod, slowPeriod)
tts.append(obj)
preTotalHold = -1
lastStatus = ""
while True:
if GetCommand() == "Pause/Resume":
Log("Suspending trading ...")
while GetCommand() != "Pause/Resume":
Sleep(1000)
Log("Continue trading...")
while not exchange.IO("status"):
Sleep(3000)
LogStatus("Waiting for connection with the trading server," + _D() + "\n" + lastStatus)
tblStatus = {
"type" : "table",
"title" : "Position information",
"cols" : ["Contract Name", "Direction of Position", "Average Position Price", "Number of Positions", "Position profits and Losses", "Number of Positions Added", "Current Price"],
"rows" : []
}
tblMarket = {
"type" : "table",
"title" : "Operating status",
"cols" : ["Contract name", "Contract multiplier", "Margin rate", "Trading time", "Bar length", "Exception description", "Time of occurrence"],
"rows" : []
}
totalHold = 0
vmStatus = {}
ts = time.time()
holdSymbol = 0
for i in range(len(tts)):
tts[i].Poll()
d = tts[i].Status()
if d["holdAmount"] > 0:
vmStatus[d["symbol"]] = d["vm"]
holdSymbol += 1
tblStatus["rows"].append([d["symbolDetail"]["InstrumentName"], "--" if d["holdAmount"] == 0 else ("long" if d["marketPosition"] > 0 else "short"), d["holdPrice"], d["holdAmount"], d["holdProfit"], abs(d["marketPosition"]), d["lastPrice"]])
tblMarket["rows"].append([d["symbolDetail"]["InstrumentName"], d["symbolDetail"]["VolumeMultiple"], str(_N(d["symbolDetail"]["LongMarginRatio"], 4)) + "/" + str(_N(d["symbolDetail"]["ShortMarginRatio"], 4)), "is #0000ff" if d["isTrading"] else "not #ff0000", d["recordsLen"], d["lastErr"], d["lastErrTime"]])
totalHold += abs(d["holdAmount"])
now = time.time()
elapsed = now - ts
tblAssets = _bot.GetAccount(True)
nowAccount = _bot.Account()
if len(tblAssets["rows"]) > 10:
tblAssets["rows"][0] = ["InitAccount", "Initial asset", initAccount]
else:
tblAssets["rows"].insert(0, ["NowAccount", "Currently available", nowAccount])
tblAssets["rows"].insert(0, ["InitAccount", "Initial asset", initAccount])
lastStatus = "`" + json.dumps([tblStatus, tblMarket, tblAssets]) + "`\nPolling time:" + str(elapsed) + " Seconds, current time:" + _D() + ", Number of varieties held:" + str(holdSymbol)
if totalHold > 0:
lastStatus += "\nManually restore the string:" + json.dumps(vmStatus)
LogStatus(lastStatus)
if preTotalHold > 0 and totalHold == 0:
LogProfit(nowAccount.Balance - initAccount.Balance - initMargin)
preTotalHold = totalHold
Sleep(LoopInterval * 1000)
전략 주소:https://www.fmz.com/strategy/208512
역시험 비교
우리는 백테스트를 통해 전략의 자바스크립트 버전과 파이썬 버전을 비교했습니다.
- 파이썬 버전 백테스트
우리는 공개 서버를 백테스트를 위해 사용하고 있습니다. 그리고 우리는 파이썬 버전의 백테스트가 조금 더 빠르다는 것을 볼 수 있습니다.
- 자바스크립트 버전 백테스트
백테스트 결과는 정확히 같다는 것을 알 수 있습니다. 관심 있는 친구들이 코드를 탐구할 수 있고, 작은 이익은 없을 것입니다.
확장
그래프 함수를 전략으로 확장하는 연장 시범을 해 봅시다. 그림에서 보여준 것처럼:
주로 코딩 부분을 증가시킵니다.
- 관리자 클래스에 멤버를 추가합니다:
objChart - 관리자 클래스에 메소드를 추가합니다:
PlotRecords
이 두 가지 점을 중심으로 다른 수정도 있습니다. 두 가지 버전의 차이점을 비교하고 확장 함수의 아이디어를 배울 수 있습니다.
관련
- 암호화폐 시장의 근본 분석을 정량화: 데이터를 스스로 이야기하도록!
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선생님들을 믿지 말고, 데이터를 객관적으로 이야기하십시오! - 양적 거래의 필수 도구 - 발명자 양적 데이터 탐색 모듈
- 모든 것을 마스터 - FMZ에 대한 소개 트레이딩 터미널의 새로운 버전 (TRB 중재 소스 코드)
- FMZ의 새로운 거래 단말기 소개 (TRB 리비트 소스 추가)
- FMZ 퀀트: 암호화폐 시장에서 공통 요구 사항 설계 예제 분석 (II)
- 80 줄의 코드에서 고주파 전략으로 뇌 없는 판매봇을 이용하는 방법
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- 80줄의 코드의 고주파 전략으로 뇌 없는 로봇을 파는 방법
- FMZ Quant: 암호화폐 시장에서 공통 요구 사항 디자인 예의 분석 (I)
- FMZ 정량화: 암호화폐 시장의 일반적인 요구 디자인 사례 분석 (1)
더 많은