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https://github.com/wassname/catalyst.git
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twiecki
f5086e4b0e
When zipline is imported it checks whether it runs in the IPython notebook. If it does, it registers a %%zipline magic that takes the same arguments as the CLI with the addition of a -o for specifying the output variable to store the performance frame in. The algo code in the cell is, as of yet, executed in its own environment rather than that of the IPython NB which is probably what we want. Also adds cli option to save the perf dataframe to a pickle file. Also adds an IPython notebook buyapple example.
19 lines
697 B
Python
19 lines
697 B
Python
#
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# Copyright 2014 Quantopian, Inc.
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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
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#
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# 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 .cli import run_algo, parse_args, parse_cell_magic
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__all__ = ['run_algo', 'parse_args', 'parse_cell_magic']
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