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# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from clr import AddReference
AddReference("System.Core")
AddReference("QuantConnect.Common")
AddReference("QuantConnect.Algorithm")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import QCAlgorithm
from QuantConnect.Data import SubscriptionDataSource
from QuantConnect.Python import PythonData
from datetime import datetime
import json
### <summary>
### Regression test to demonstrate importing and trading on custom data.
### </summary>
### <meta name="tag" content="using data" />
### <meta name="tag" content="importing data" />
### <meta name="tag" content="custom data" />
### <meta name="tag" content="crypto" />
### <meta name="tag" content="regression test" />
class CustomDataRegressionAlgorithm(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2011,9,13) # Set Start Date
self.SetEndDate(2015,12,1) # Set End Date
self.SetCash(100000) # Set Strategy Cash
resolution = Resolution.Second if self.LiveMode else Resolution.Daily
self.AddData(Bitcoin, "BTC", resolution)
def OnData(self, data):
if not self.Portfolio.Invested:
if data['BTC'].Close != 0 :
self.Order('BTC', self.Portfolio.MarginRemaining/abs(data['BTC'].Close + 1))
class Bitcoin(PythonData):
'''Custom Data Type: Bitcoin data from Quandl - http://www.quandl.com/help/api-for-bitcoin-data'''
def GetSource(self, config, date, isLiveMode):
if isLiveMode:
return SubscriptionDataSource("https://www.bitstamp.net/api/ticker/", SubscriptionTransportMedium.Rest)
#return "http://my-ftp-server.com/futures-data-" + date.ToString("Ymd") + ".zip"
# OR simply return a fixed small data file. Large files will slow down your backtest
return SubscriptionDataSource("https://www.quantconnect.com/api/v2/proxy/quandl/api/v3/datasets/BCHARTS/BITSTAMPUSD.csv?order=asc&api_key=WyAazVXnq7ATy_fefTqm", SubscriptionTransportMedium.RemoteFile)
def Reader(self, config, line, date, isLiveMode):
coin = Bitcoin()
coin.Symbol = config.Symbol
if isLiveMode:
# Example Line Format:
# {"high": "441.00", "last": "421.86", "timestamp": "1411606877", "bid": "421.96", "vwap": "428.58", "volume": "14120.40683975", "low": "418.83", "ask": "421.99"}
try:
liveBTC = json.loads(line)
# If value is zero, return None
value = liveBTC["last"]
if value == 0: return None
coin.Time = datetime.now()
coin.Value = value
coin["Open"] = float(liveBTC["open"])
coin["High"] = float(liveBTC["high"])
coin["Low"] = float(liveBTC["low"])
coin["Close"] = float(liveBTC["last"])
coin["Ask"] = float(liveBTC["ask"])
coin["Bid"] = float(liveBTC["bid"])
coin["VolumeBTC"] = float(liveBTC["volume"])
coin["WeightedPrice"] = float(liveBTC["vwap"])
return coin
except ValueError:
# Do nothing, possible error in json decoding
return None
# Example Line Format:
# Date Open High Low Close Volume (BTC) Volume (Currency) Weighted Price
# 2011-09-13 5.8 6.0 5.65 5.97 58.37138238, 346.0973893944 5.929230648356
if not (line.strip() and line[0].isdigit()): return None
try:
data = line.split(',')
coin.Time = datetime.strptime(data[0], "%Y-%m-%d")
coin.Value = float(data[4])
coin["Open"] = float(data[1])
coin["High"] = float(data[2])
coin["Low"] = float(data[3])
coin["Close"] = float(data[4])
coin["VolumeBTC"] = float(data[5])
coin["VolumeUSD"] = float(data[6])
coin["WeightedPrice"] = float(data[7])
return coin
except ValueError:
# Do nothing, possible error in json decoding
return None