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quantconnect--lean/Algorithm.Python/Benchmarks/BasicTemplateBenchmark.py
T
Michael Handschuh fdc866fda0 Reverting 'Merge pull request #2483 python-history-provider'
We didn't experience the expected performance improvements. Locally under
unit test there was aboout an order of magnitude throughput increase, but
when run against the history benchmark, this new approach was 60% slower.
We're reverting this for now to perform further analysis and better
understand the performance profiling of the python history stack.
2018-09-18 18:37:23 -04:00

41 lines
1.5 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.Indicators")
AddReference("QuantConnect.Common")
from System import *
from QuantConnect import *
from QuantConnect.Data import *
### <summary>
### Benchmark Algorithm: The minimalist basic template algorithm benchmark strategy.
### </summary>
### <remarks>
### All new projects in the cloud are created with the basic template algorithm. It uses a minute algorithm
### </remarks>
class BasicTemplateBenchmark(QCAlgorithm):
def Initialize(self):
self.SetStartDate(2000, 1, 1)
self.SetEndDate(2017, 1, 1)
self.SetBenchmark(lambda x: 1)
self.AddEquity("SPY")
def OnData(self, data):
if not self.Portfolio.Invested:
self.SetHoldings("SPY", 1)
self.Debug("Purchased Stock")