FMZ hat die lokale Python-Backtest-Engine gestartet.

FMZ hat die lokale Python-Backtest-Engine gestartet.

FMZ Backtest Engine Python-Paket unterstützt python2 und python3; unterstützt Windows-, Linux- und Mac OS-Systeme.

Installieren

Geben Sie den folgenden Befehl in die Befehlszeile ein:

pip install https://github.com/fmzquant/backtest_python/archive/master.zip

• Anmerkung: Bei der Installation der Engine im Mac OS-System, wenn es Sicherheitsbeschränkungen gibt, müssen Sie sudo vor pip hinzufügen, und das Systempasswort wird angefordert, bevor der gesamte Installationsbefehl ausgeführt wird.

Ein einfaches Beispiel

'''backtest
start: 2018-02-19 00:00:00
end: 2018-03-22 12:00:00
period: 15m
exchanges: [{"eid":"OKEX","currency":"LTC_BTC","balance":3,"stocks":0}]
'''
from fmz import *
task = VCtx(__doc__) # initialize backtest engine from __doc__
print exchange.GetAccount()
print exchange.GetTicker()
print task.Join() # print backtest result

Die Konfigurationszeichenfolge kann automatisch generiert werden, indem die Backtest-Konfiguration auf der Seite Strategy Edit gespeichert wird.

Dokumentation

API-Dokumentation: (d. h. die Dokumentation, die Funktionen wie GetAccount in der Demo aufruft)

• https://www.fmz.com/api

Einfache Bemerkungen über Python Code:

'''backtest
start: 2018-02-19 00:00:00
end: 2018-03-22 12:00:00
period: 15m
exchanges: [{"eid":"OKEX","currency":"LTC_BTC","balance":3,"stocks":0}]
'''
from fmz import *           # Call the FMZ Quant library 
task = VCtx(__doc__)        # Initialize the backtest engine from __doc__ by calling VCtx
print exchange.GetAccount() # Test GetAccount function, and print the account information of the backtested platform 
print exchange.GetTicker()  # Test GetTicker function, and print the market quote information of backtest system 
print task.Join()           # Call the initialized task object, and print the backtest result    

• - Das ist nicht nötig.

  With two underscores, "__doc__" is used to access the first unassigned string in modules like class declaration or function declaration; the string can be enclosed by """ ""","" "" or ' ', which is to pass the backtest configuration information of '''backtest ... ''' in the code into the VCtx class constructor to construct objects.
  

• Ändern Sie den Backtest-Code, um zu sehen, wie Sie Log und GetTicker ausdrücklich aufrufen.

  # coding=UTF-8
  
  '''backtest
  start: 2018-02-19 00:00:00
  end: 2018-03-22 12:00:00
  period: 15m
  exchanges: [{"eid":"OKEX","currency":"LTC_BTC","balance":3,"stocks":0}]
  '''
  
  from fmz import *                                               # Call the FMZ Quant library
  task = VCtx(__doc__) # initialize backtest engine from __doc__  # Call VCtx function according to the initialization of __doc__
  print exchange.GetAccount()                                     # Test GetAccount and print the account information of the tested platform by the backtest system
  Log("\n call Log")
  Log("Call exchange.GetTicker() : ", exchange.GetTicker())
  print task.Join()                                                # Call the initialized task object, and print the backtest result 
  

  • Ausdrucken von Exchange.GetAccount:

  {'Balance': 3.0, 'Stocks': 0.0, 'FrozenBalance': 0.0, 'FrozenStocks': 0.0}
  

  • Log (("\n call Log") 、 Log ((("Call exchange.GetTicker() ": ", exchange.GetTicker())

  Die gedruckten Daten befinden sich in der Struktur der Druckaufgabe.Beitreten():

  {
      "Chart": {
   	   "Cfg": "",
   	   "Datas": []
      },
      "Elapsed": 42000000,
      "Finished": true,
      "Indicators": {},
      "LoadBytes": 441845,
      "LoadElapsed": 24000000,
      "LogsCount": 2,
      "Profit": 0.0,
      "ProfitLogs": [],
      "Progress": 100.0,
      "RuntimeLogs": [                                                  # Here call the printed data  
   	   [1, 1518969600200, 5, "", 0, 0.0, 0.0, "\n call Log", "", ""],
   	   [2, 1518969600400, 5, "", 0, 0.0, 0.0, "Call exchange.GetTicker() :  {'Sell': 0.02113476, 'Volume': 519.6953, 'Buy': 0.02113474, 'Last': 0.02113475, 'High': 0.02113476, 'Time': 1518969600000L, 'Low': 0.02113474}", "", ""]
      ],
      "Snapshort": [{
   	   "Balance": 3.0,
   	   "BaseCurrency": "LTC",
   	   "Commission": 0.0,
   	   "FrozenBalance": 0.0,
   	   "FrozenStocks": 0.0,
   	   "Id": "OKEX",
   	   "QuoteCurrency": "BTC",
   	   "Stocks": 0.0,
   	   "Symbols": {
   		   "LTC_BTC_OKEX": {
   			   "Last": 0.01893785
   		   }
   	   },
   	   "TradeStatus": {}
      }],
      "Status": "",
      "Task": {
   	   "Args": null,
   	   "Exchanges": [{
   		   "Balance": 3,
   		   "BaseCurrency": "LTC",
   		   "BasePeriod": 300000,
   		   "BasePrecision": 4,
   		   "DepthDeep": 5,
   		   "FaultTolerant": 0,
   		   "FeeDenominator": 5,
   		   "FeeMaker": 75,
   		   "FeeMin": 0,
   		   "FeeTaker": 80,
   		   "Id": "OKEX",
   		   "Label": "OKEX",
   		   "PriceTick": 1e-08,
   		   "QuoteCurrency": "BTC",
   		   "QuotePrecision": 8,
   		   "SlipPoint": 0,
   		   "Stocks": 0
   	   }],
   	   "Options": {
   		   "DataServer": "q.botvs.net",
   		   "MaxChartLogs": 800,
   		   "MaxProfitLogs": 800,
   		   "MaxRuntimeLogs": 800,
   		   "NetDelay": 200,
   		   "Period": 900000,
   		   "RetFlags": 189,
   		   "SnapshortPeriod": 300000,
   		   "TimeBegin": 1518969600,
   		   "TimeEnd": 1521691200,
   		   "UpdatePeriod": 5000
   	   }
      },
      "TaskStatus": 1,
      "Time": 1521691200000
  }
  

• Wie kann man eine Strategie zum Backtest in einer lokalen Backtest-Engine verwenden?

# !/usr/local/bin/python
# -*- coding: UTF-8 -*-
'''backtest
start: 2018-02-19 00:00:00
end: 2018-03-22 12:00:00
period: 15m
exchanges: [{"eid":"Bitfinex","currency":"BTC_USD","balance":10000,"stocks":3}]
'''
import sys
sys.path.append("/usr/local/lib/python2.7/site-packages")    # Add a path during the backtest, and you can delete it if not needed 

from fmz import *
import math
import talib

task = VCtx(__doc__) # initialize backtest engine from __doc__

# ------------------------------ Strategy Section Starts --------------------------
print exchange.GetAccount()     # Call some interfaces, and print their return values 
print exchange.GetTicker()

def adjustFloat(v):             # Custom functions in the strategy 
    v = math.floor(v * 1000)
    return v / 1000

def onTick(e):
    Log("onTick")
    # ....

#
# ...
# 
# Here the codes including the implementation of custom functions are omitted 

def main():
    InitAccount = GetAccount()
    
    while True:
        onTick(exchange)
        Sleep(1000)
# ------------------------------ Strategy Section Ends --------------------------

try:
    main()                     # Raise EOFError() when the backtest ends, to stop the backtest loop. Therefore, the error needs to be processed by calling task.Join() when the error is detected, and print the backtest result 
except:
    print task.Join()          # print the backtest result