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        "author": "Slash Gordon",
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            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.6",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Topic :: Office/Business :: Financial :: Investment",
            "Topic :: Software Development :: Libraries :: Python Modules"
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        "description": "# pystockfilter\n\n[![Build Status](https://travis-ci.org/portfolioplus/pystockfilter.svg?branch=master)](https://travis-ci.org/portfolioplus/pystockfilter)\n[![Coverage Status](https://coveralls.io/repos/github/portfolioplus/pystockfilter/badge.svg?branch=master)](https://coveralls.io/github/portfolioplus/pystockfilter?branch=master)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/07e6231a5a8c415a9f27736e02a286da)](https://www.codacy.com/app/SlashGordon/pystockfilter?utm_source=github.com&utm_medium=referral&utm_content=portfolioplus/pystockfilter&utm_campaign=Badge_Grade)\n\nCreate your own fundamental or chart based stock filter. All you need is a database set up with [pystockdb](https://github.com/portfolioplus/pystockdb).\n\n## built-in filters\n\n### technical filters\n\n- [x] [ADX](https://en.wikipedia.org/wiki/Average_directional_movement_index)\n- [x] [RSI](https://en.wikipedia.org/wiki/Relative_strength_index)\n- [x] StockIsHot: Simple trend indicator\n- [x] StockIsHotSecure: improved StockIsHot version.\n\n### fundamental filters\n\n- [x] Lervermann\n- [x] [Piotroski F-Score](https://en.wikipedia.org/wiki/Piotroski_F-Score)\n- [x] Price Target Score: analysts price targets compared with actual price\n\n## install\n\n```shell\npip install pystockfilter\n```\n\n## quick start\n\nBuild internal filters:\n\n```python\nimport logging\nfrom pystockdb.db.schema.stocks import db\n\nfrom pystockfilter.tool.build_internal_filters import BuildInternalFilters\n\n# connect to database\narguments = {'db_args': {\n    'provider': 'sqlite',\n    'filename': db_path_test,\n    'create_db': False\n    }\n}\ndb.bind(**arguments[\"db_args\"])\ndb.generate_mapping()\n# create internal filters for Adidas AG and Infineon\narguments = {'symbols': ['ADS.F', 'IFX.F']}\nbuilder = BuildInternalFilters(arguments, logger)\nbuilder.build()\n# create internal filters for all stocks in database\narguments = {'symbols': ['ALL']}\nbuilder = BuildInternalFilters(arguments, logger)\nbuilder.build()\n```\n\n## issue tracker\n\n[https://github.com/portfolioplus/pystockfilter/issuese](https://github.com/portfolioplus/pystockfilter/issues\")\n\n\n",
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