| Overall Statistics |
|
Total Trades 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Net Profit 0% Sharpe Ratio 0 Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio 0 Tracking Error 0 Treynor Ratio 0 Total Fees $0.00 |
from clr import AddReference
AddReference("System")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from QuantConnect.Data import SubscriptionDataSource
from QuantConnect.Python import PythonData
from datetime import date, timedelta, datetime
from System.Collections.Generic import List
from QuantConnect.Algorithm import QCAlgorithm
from QuantConnect.Data.UniverseSelection import *
import decimal as d
import numpy as np
import math
import json
### <summary>
### In this algortihm we show how you can easily use the universe selection feature to fetch symbols
### to be traded using the BaseData custom data system in combination with the AddUniverse{T} method.
### AddUniverse{T} requires a function that will return the symbols to be traded.
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="universes" />
### <meta name="tag" content="custom universes" />
class DropboxBaseDataUniverseSelectionAlgorithm(QCAlgorithm):
def Initialize(self):
self.UniverseSettings.Resolution = Resolution.Minute;
self.SetStartDate(2017,2,1)
self.SetEndDate(2017,2,27)
self.AddUniverse(StockDataSource, "my-stock-data-source", self.stockDataSource)
self.Schedule.On(self.DateRules.EveryDay(),
self.TimeRules.At(15, 44),
self.liquidateOnClose)
def stockDataSource(self, data):
list = []
for item in data:
if self.Time.date() == item.Time.date():
for symbol in item["Symbols"]:
list.append(symbol)
return list
def OnData(self, slice):
if slice.Bars.Count == 0: return
if self._changes == None: return
for tradeBar in slice.Bars.Values:
self.SetHoldings(tradeBar.Symbol, .05)
# reset changes
self._changes = None
def OnSecuritiesChanged(self, changes):
self.Log("OnSecuritiesChanged: self.Time.date(): {}".format(self.Time.date()))
self._changes = changes
def liquidateOnClose(self):
self.Liquidate()
class StockDataSource(PythonData):
def GetSource(self, config, date, isLiveMode):
if isLiveMode:
url = "https://www.dropbox.com/s/307kb876cnc0grv/universe-test-live.csv?dl=1"
else:
url = "https://www.dropbox.com/s/307kb876cnc0grv/universe-test-backtest.csv?dl=1"
return SubscriptionDataSource(url, SubscriptionTransportMedium.RemoteFile)
def Reader(self, config, line, date, isLiveMode):
if not (line.strip() and line[0].isdigit()): return None
stocks = StockDataSource()
stocks.Symbol = config.Symbol
csv = line.split(',')
if isLiveMode:
stocks.Time = date
stocks["Symbols"] = csv
else:
stocks.Time = datetime.strptime(csv[0], "%Y-%m-%d")
stocks["Symbols"] = csv[1:]
return stocks