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stock-analysis-engine

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1.9.15 stock_analysis_engine-1.9.15-py2.py3-none-any.whl

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Project: stock-analysis-engine
Version: 1.9.15
Filename: stock_analysis_engine-1.9.15-py2.py3-none-any.whl
Download: [link]
Size: 443644
MD5: d2cc46179bd3f54fc0fcfe73ac2c85e1
SHA256: 4cc30a4bb3f514e7cad8fcd4f53732c95198af0a86d8d7444861078e355c7509
Uploaded: 2020-09-05 13:01:24 +0000

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METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: stock-analysis-engine
Version: 1.9.15
Summary: Backtest 1000s of minute-by-minute trading algorithms. Automated pricing data ingestion from: IEX Cloud (https://iexcloud.io), Tradier (https://tradier.com) and FinViz. Datasets and trading performance automatically compressed and published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes with Helm and docker-compose. >150 million trading history rows generated from +5000 algorithms
Author: Jay Johnson
Author-Email: jay.p.h.johnson[at]gmail.com
Home-Page: https://github.com/AlgoTraders/stock-analysis-engine
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: Implementation :: PyPy
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Dist: boto3
Requires-Dist: bs4
Requires-Dist: celery
Requires-Dist: celery[redis]
Requires-Dist: colorlog
Requires-Dist: coverage
Requires-Dist: flake8
Requires-Dist: future
Requires-Dist: matplotlib
Requires-Dist: mock
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pep8
Requires-Dist: pycodestyle
Requires-Dist: pylint
Requires-Dist: recommonmark
Requires-Dist: redis (>=3.2.0)
Requires-Dist: seaborn
Requires-Dist: sphinx
Requires-Dist: sphinx-autobuild
Requires-Dist: sphinx-rtd-theme
Requires-Dist: spylunking
Requires-Dist: tabulate
Requires-Dist: trading-calendars
Requires-Dist: unittest2
Requires-Dist: urllib3
Requires-Dist: ujson
Requires-Dist: vprof
Requires-Dist: awscli
Requires-Dist: h5py
Requires-Dist: keras
Requires-Dist: scikit-learn
Requires-Dist: tables
Requires-Dist: ta-lib
Requires-Dist: tensorflow
Description-Content-Type: text/x-rst
[Description omitted; length: 69328 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.34.2)
Root-Is-Purelib: true
Tag: py2-none-any
Tag: py3-none-any

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stock_analysis_engine-1.9.15.dist-info/RECORD — —

top_level.txt

analysis_engine

entry_points.txt

[console_scripts]
ae = start_algo:start_algo
bt = run_backtest_and_plot_history:start_backtest_with_plot_history
fetch = fetch_new_stock_datasets:fetch_new_stock_datasets
plot-history = plot_history_from_local_file:plot_local_history_file
sa = sa:run_sa_tool