Files
quantconnect--lean/Algorithm.Python/LimitFillRegressionAlgorithm.py
T
Alexandre Catarino 58f0caf647 Updates example algorithms written in Python (#889)
Some python algorithms suffered corrections to run under the new python framework (pythonnet).
Others were deleted because some features will be supported in futures implementations.

Adds a method in AlgorithmPythonUtil to transform C# DateTime into Python datetime
2017-05-04 13:02:25 -04:00

54 lines
2.3 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")
AddReference("QuantConnect.Algorithm")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Algorithm import *
from AlgorithmPythonUtil import to_python_datetime
from datetime import datetime, timedelta
class LimitFillRegressionAlgorithm(QCAlgorithm):
'''Basic template algorithm simply initializes the date range and cash'''
def Initialize(self):
'''Initialise the data and resolution required, as well as the cash and start-end dates for your algorithm. All algorithms must initialized.'''
self.SetStartDate(2013,10,07) #Set Start Date
self.SetEndDate(2013,10,11) #Set End Date
self.SetCash(100000) #Set Strategy Cash
# Find more symbols here: http://quantconnect.com/data
equity = self.AddEquity("SPY", Resolution.Second)
self.spy = equity.Symbol
start_date = to_python_datetime(self.StartDate)
end_date = to_python_datetime(self.EndDate)
self.mid_datetime = start_date + (end_date - start_date)/2
def OnData(self, data):
'''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.'''
if data.ContainsKey(self.spy):
currentTime = to_python_datetime(self.Time)
if self.IsRoundHour(currentTime):
negative = 1 if currentTime < self.mid_datetime else -1
self.LimitOrder(self.spy, negative*10, data[self.spy].Price)
def IsRoundHour(self, dateTime):
'''Verify whether datetime is round hour'''
return dateTime.minute == 0 and dateTime.second == 0