एफएमजेड ने पायथन लोकल बैकटेस्ट इंजन लॉन्च किया

FMZ ने पायथन लोकल बैकटेस्ट इंजन लॉन्च किया है

एफएमजेड बैकटेस्ट इंजन पायथन पैकेज python2 और python3 का समर्थन करता है; विंडोज, लिनक्स, मैक ओएस सिस्टम का समर्थन करता है।

स्थापित करें

कमांड लाइन में निम्न कमांड दर्ज करें:

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

• नोटः मैक ओएस सिस्टम में इंजन स्थापित करते समय, यदि सुरक्षा प्रतिबंध हैं, तो आपको pip के सामने sudo जोड़ने की आवश्यकता है, और स्थापना की पूरी कमांड निष्पादित होने से पहले सिस्टम पासवर्ड का अनुरोध किया जाएगा।

सरल उदाहरण

'''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

कॉन्फ़िग स्ट्रिंग को Strategy Edit पृष्ठ में बैकटेस्ट कॉन्फ़िगरेशन सहेजकर स्वचालित रूप से उत्पन्न किया जा सकता है.

प्रलेखन

एपीआई प्रलेखनः (अर्थात प्रलेखन डेमो में GetAccount जैसे कार्यों को कॉल)

• https://www.fmz.com/api

पायथन कोड की सरल टिप्पणियाँः

'''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    

• __doc__

  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.
  

• बैकटेस्ट कोड को संशोधित करें, यह देखने के लिए कि लॉग और गेटटिकर को विशेष रूप से कैसे बुलाया जाए.

  # 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 
  

  • मुद्रण विनिमय.GetAccount():

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

  • लॉग (("\n कॉल लॉग") 、 लॉग ((("कॉल एक्सचेंज.GetTicker() ": ", एक्सचेंज.GetTicker())

  मुद्रित डेटा मुद्रण कार्य की संरचना में है.

  {
      "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
  }
  

• स्थानीय बैकटेस्ट इंजन में बैकटेस्ट करने के लिए रणनीति का उपयोग कैसे करें?

# !/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