Files
quantconnect--lean/Algorithm.Python/CustomDataRegressionAlgorithm.py
T
2017-09-21 08:27:41 -04:00

50 lines
1.9 KiB
Python

# 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("System.Collections")
AddReference("QuantConnect.Common")
AddReference("QuantConnect.Algorithm")
from System import *
from System.Collections.Generic import List
from QuantConnect import *
from QuantConnect.Algorithm import QCAlgorithm
from QuantConnect.Data.UniverseSelection import *
from datetime import datetime
### <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):
''' Regression algorithm for custom data '''
def Initialize(self):
self.SetStartDate(2014,04,01) #Set Start Date
self.SetEndDate(2015,04,30) #Set End Date
self.SetCash(50000) #Set Strategy Cash
self.AddData[Bitcoin]("BTC", Resolution.Daily)
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))