Custom Data for Python Support

This commit is contained in:
AlexCatarino
2017-02-09 17:48:50 -02:00
parent 914475e26d
commit 9774af9adc
30 changed files with 1225 additions and 205 deletions
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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 datetime import date, timedelta
import decimal
import numpy as np
import json
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
class CustomDataBitcoinAlgorithm(QCAlgorithm):
'''3.0 CUSTOM DATA SOURCE: USE YOUR OWN MARKET DATA (OPTIONS, FOREX, FUTURES, DERIVATIVES etc).
The new QuantConnect Lean Backtesting Engine is incredibly flexible and allows you to define your own data source.
This includes any data source which has a TIME and VALUE. These are the *only* requirements.
To demonstrate this we're loading in "Bitcoin" data.'''
def Initialize(self):
self.SetStartDate(2011, 9, 13)
self.SetEndDate(DateTime.Now.Date.AddDays(-1))
self.SetCash(100000)
# Define the symbol and "type" of our generic data:
self.AddData(Bitcoin, "BTC")
self.btc = self.Securities["BTC"].Symbol
def OnData(self, data):
if self.btc not in data: return
close = data[self.btc].Close
# If we don't have any weather "SHARES" -- invest"
if not self.Portfolio.Invested:
# Weather used as a tradable asset, like stocks, futures etc.
self.SetHoldings(self.btc, 1)
self.Debug("Buying BTC 'Shares': BTC: {0}".format(close))
self.Debug("Time: {0} {1} {2}".format(DateTime.Now.ToLongDateString(), DateTime.Now.ToLongTimeString(), close))
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("http://www.quandl.com/api/v1/datasets/BCHARTS/BITSTAMPUSD.csv?sort_order=asc", 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 = decimal.Decimal(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(',')
# If value is zero, return None
value = decimal.Decimal(data[4])
if value == 0: return None
coin.Time = DateTime.Now #DateTime.Parse(data[0], None)
coin.Value = value
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