Jhonathan Abreu
cf8c5b854a
* Cleanup algorithms python typing * Minor tweaks * Improve indicator extensions --------- Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
28 lines
1.2 KiB
Python
28 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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from AlgorithmImports import *
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from CustomDataObjectStoreRegressionAlgorithm import *
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### <summary>
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### Regression algorithm demonstrating the use of zipped custom data sourced from the object store
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### </summary>
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class CustomDataZippedObjectStoreRegressionAlgorithm(CustomDataObjectStoreRegressionAlgorithm):
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def get_custom_data_key(self):
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return "CustomData/ExampleCustomData.zip"
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def save_data_to_object_store(self):
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self.object_store.save_bytes(self.get_custom_data_key(), Compression.zip_bytes(list(bytes(self.custom_data, 'utf-8')), 'data'))
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