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stock-analysis-engine


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Author: Jay Johnson
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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
Latest version: 1.9.15
Required dependencies: awscli | boto3 | bs4 | celery | colorlog | coverage | flake8 | future | h5py | keras | matplotlib | mock | numpy | pandas | pep8 | pycodestyle | pylint | recommonmark | redis | scikit-learn | seaborn | sphinx | sphinx-autobuild | sphinx-rtd-theme | spylunking | ta-lib | tables | tabulate | tensorflow | trading-calendars | ujson | unittest2 | urllib3 | vprof

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