{
    "info": {
        "author": "Carniel Giorgio",
        "author_email": "dodo.33@gmx.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3.5",
            "Topic :: Office/Business :: Financial :: Investment",
            "Topic :: Scientific/Engineering :: Information Analysis"
        ],
        "description": ".. image:: https://i.imgur.com/9bC0YgB.png\n    :target: https://github.com/Dodo33/alchemist-lib\n    :width: 212px\n    :align: center\n    :alt: Alchemist\n\nAlchemist_lib\n*************\n\n\nDescription\n===========\nAlchemist_lib is an automatic trading library for cryptocurrencies that allow to personalize the portfolio based on a specific strategy.\n\n\nFeatures\n========\n\n - Easy to use: The interface is similar to `zipline <http://www.zipline.io/>`_, a popular backtesting software for stocks.\n - Portfolio personalization: You can choose the weight of every element on the portfolio.\n - Most common technical analysis indicators already integrated.\n - Execute orders on the most famous exchanges.\n - Possibility to visualize the asset allocation and the portfolio value charts for every strategy thanks to `alchemist-view <https://github.com/Dodo33/alchemist-view>`_.\n - Fully documented and hosted on `readthedocs <http://alchemist-lib.readthedocs.io/en/latest/index.html#>`_.\n \n\nSupported Exchanges\n===================\nThe following exchanges are available to trade on:\n\n    - `Poloniex <https://poloniex.com/>`_\n    - `Bittrex <https://bittrex.com/>`_\n\n    \nRequirements\n============\n\n - Python3\n - Mysql\n    \n\nInstallation\n============\n\nSee the `installing documentation <http://alchemist-lib.readthedocs.io/en/latest/install.html>`_.\n\n\nCode example\n============\n\nStrategy description:\n*Hold a portfolio equally composed by Ethereum and BitcoinCash.*\n\n::\n    \n    from alchemist_lib.portfolio import LongsOnlyPortfolio\n    from alchemist_lib.broker import PoloniexBroker\n    from alchemist_lib.tradingsystem import TradingSystem\n    import alchemist_lib.exchange as exch\n    import pandas as pd\n\n\n    def set_weights(df):\n        df[\"weight\"] = 0.5 #Because there are just two assets.\n        return df\n\n    def select_universe(session):\n        poloniex_assets = exch.get_assets(session = session, exchange_name = \"poloniex\")\n\n        my_universe = []\n        for asset in poloniex_assets:\n            if asset.ticker == \"ETH\" or asset.ticker == \"BCH\":\n                my_universe.append(asset)\n        return my_universe\n\n    def handle_data(session, universe):\n        #The value of alpha is useless in this case.\n        df = pd.DataFrame(data = {\"asset\" : universe, \"alpha\" : 0}, columns = [\"asset\", \"alpha\"]).set_index(\"asset\")\n        return df\n\n\n    algo = TradingSystem(name = \"BuyAndHold\",\n                         portfolio = LongsOnlyPortfolio(capital = 0.02),\n                         set_weights = set_weights,\n                         select_universe = select_universe,\n                         handle_data = handle_data,\n                         broker = PoloniexBroker(api_key = \"APIKEY\",\n                                                 secret_key = \"SECRETKEY\"),\n                         paper_trading = True)\n    algo.run(delay = \"15M\", frequency = 1)\n\n\nScreenshot\n----------\n\n.. image:: https://i.imgur.com/G3p1IeZ.png\n    :target: https://github.com/Dodo33/alchemist-lib\n    :width: 300px\n    :height: 150px\n    :align: center\n    :alt: BuyAndHold example\n\n\nBasic concepts\n==============\n\nAlchemist_lib works with three methods:\n\n    - set_weights\n    - select_universe\n    - handle_data\n\n*set_weights* is used to set the weight that an asset has respect the others within the portfolio. \nThe sum of every weight must be close to 1. Must returns a pandas dataframe with two columns: \"asset\" and \"alpha\", where \"asset\" is the index.\n\n*select_universe* filters the assets saved on the database and returns just the ones the strategy will take into consideration.\n\n*handle_data* is the most importat one because it manages the trading logic. Must returns a pandas dataframe with two columns: \"asset\" and \"alpha\", where \"asset\" is the index.\n\nYou can find other examples in the ``examples`` directory.\n\n\nReporting bugs\n==============\n\nA `bug tracker <https://github.com/Dodo33/alchemist-lib/issues>`_ is provided by Github.\n\n\n\n\n        \n",
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