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    "info": {
        "author": "Florian Wilhelm",
        "author_email": "florian.wilhelm@gmail.com",
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        "description": "=======================\nZipline Poloniex Bundle\n=======================\n\nPoloniex data bundle for zipline_, the pythonic algorithmic trading library.\n\n\nDescription\n===========\n\nJust install the data bundle with pip::\n\n    pip install zipline-poloniex\n\nand create a file ``$HOME/.zipline/extension.py`` calling zipline's register_ function.\nThe ``create_bundle`` function returns the necessary ingest function for ``register``.\nUse the ``Pairs`` record for common US-Dollar to crypto-currency pairs.\n\n\nExample\n=======\n\n1) Add following content to ``$HOME/.zipline/extension.py``:\n\n.. code:: python\n\n    import pandas as pd\n    from zipline_poloniex import create_bundle, Pairs, register\n\n    # adjust the following lines to your needs\n    start_session = pd.Timestamp('2016-01-01', tz='utc')\n    end_session = pd.Timestamp('2016-12-31', tz='utc')\n    assets = [Pairs.usdt_eth]\n\n    register(\n        'poloniex',\n        create_bundle(\n            assets,\n            start_session,\n            end_session,\n        ),\n        calendar_name='POLONIEX',\n        minutes_per_day=24*60,\n        start_session=start_session,\n        end_session=end_session\n    )\n\n2) Ingest the data with::\n\n    zipline ingest -b poloniex\n\n3) Create your trading algorithm, e.g. ``my_algorithm.py`` with:\n\n.. code:: python\n\n    import logging\n\n    from zipline.api import order, record, symbol\n    from zipline_poloniex.utils import setup_logging\n\n    __author__ = \"Florian Wilhelm\"\n    __copyright__ = \"Florian Wilhelm\"\n    __license__ = \"new-bsd\"\n\n    # setup logging and all\n    setup_logging(logging.INFO)\n    _logger = logging.getLogger(__name__)\n    _logger.info(\"Dummy agent loaded\")\n\n\n    def initialize(context):\n        _logger.info(\"Initializing agent...\")\n        # There seems no \"nice\" way to set the emission rate to minute\n        context.sim_params._emission_rate = 'minute'\n\n\n    def handle_data(context, data):\n        _logger.debug(\"Handling data...\")\n        order(symbol('ETH'), 10)\n        record(ETH=data.current(symbol('ETH'), 'price'))\n\n4) Run your algorithm in ``my_algorithm.py`` with::\n\n    zipline run -f ./my_algorithm.py -s 2016-01-01 -e 2016-12-31 -o results.pickle --data-frequency minute -b poloniex\n\n5) Analyze the performance by reading ``results.pickle`` with the help of Pandas.\n\n\nNote\n====\n\nThis project has been set up using PyScaffold 2.5.7. For details and usage\ninformation on PyScaffold see http://pyscaffold.readthedocs.org/.\n\n.. _register: http://www.zipline.io/appendix.html?highlight=register#zipline.data.bundles.register\n.. _zipline: http://www.zipline.io/\n\n",
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        "license": "mit",
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        "name": "zipline-poloniex",
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