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What is margot?\nMargot makes it super easy to backtest trading elgorithms. Firstly, Margot makes\nit super easy tocreate neat and tidy Pandas dataframes for time-series analysis.\n\nMargot manages data collection, caching, cleaning, feature generation,\nmanagement and persistence using a clean, declarative API. If you've\never used Django you will find this approach similar to the Django ORM.\n\nMargot also provides a simple framework for writing and backtesting systematic\ntrading algorithms.\n\nResults from margot's trading algorithms can be analysed using pyfolio.\n\n# Getting Started\n\n    pip install margot\n\nNext you need to make sure you have a couple of important environment variables\nset::\n\n    export ALPHAVANTAGE_API_KEY=YOUR_API_KEY\n    export DATA_CACHE=PATH_TO_FOLDER_TO_STORE_HDF5_FILES\n\nOnce you've done that, try running the code in the [notebook](notebook.margot.data).\n\n# Status\nThis is still an early stage software project, and should not be used for live\ntrading just yet.\n\n# Documentation\n\nThe documentation is at [readthedocs](https://margot.readthedocs.io/en/latest/).\n\n# Contributing\n\nFeel free to make a pull request or chat about your idea first using [issues](https://github.com/atkinson/margot/issues).\n\nDependencies are kept to a minimum. Generally if there's a way to do something\nin the standard library (or numpy / Pandas), let's do it that way rather than\nadd another library. \n\n# License\nMargot is licensed for use under Apache 2.0. For details see [the License](https://github.com/atkinson/margot/blob/master/LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpymargot%2Fmargot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpymargot%2Fmargot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpymargot%2Fmargot/lists"}