Martin-Molinero
0a64462e50
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* Add performance gh action - Add new performance github action, running python and csharp benchmark algorithms - Adjusting algorithms length so they are not too long or too short * Checkout master branch benchmark reference
34 lines
1.2 KiB
Python
34 lines
1.2 KiB
Python
# QUANTCONNECT.COM - Democratizing Finance, Empowering Individuals.
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# Lean Algorithmic Trading Engine v2.0. Copyright 2014 QuantConnect Corporation.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from AlgorithmImports import *
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class ScheduledEventsBenchmark(QCAlgorithm):
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def Initialize(self):
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self.SetStartDate(2011, 1, 1)
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self.SetEndDate(2022, 1, 1)
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self.SetCash(100000)
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self.AddEquity("SPY")
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for i in range(300):
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self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.AfterMarketOpen("SPY", i), self.Rebalance)
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self.Schedule.On(self.DateRules.EveryDay("SPY"), self.TimeRules.BeforeMarketClose("SPY", i), self.Rebalance)
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def OnData(self, data):
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pass
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def Rebalance(self):
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pass
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