{ "info": { "author": "Paduel", "author_email": "paduel@gmail.com", "bugtrack_url": null, "classifiers": [], "description": "# Darwinex-ticks\nDarwinex tick data python API.\n\nThe broker Darwinex offers to their real accounts a historical data dowload \nservice using a ftp server. \n\nThis basic API connects with your server account \nand download the data of one or several assets available. \n\nThe data is returned as a Pandas dataframe. \n\n\n## Installation\n\n`pip install Darwinex-ticks`\n \nPandas library is required. Ipywidgets optional, only for progress bar in \nJupyter notebooks.\n\n\n## Example \n\n\n\nQuick usage.\n```\nimport darwinex_ticks\ndwt = darwinex_ticks.DarwinexTicksConnection(dwx_ftp_user='',\n dwx_ftp_pass='',\n dwx_ftp_hostname='',\n dwx_ftp_port='')\n \ndata = dwt.ticks_from_darwinex('EURUSD', start='2018-08-02 08', \n end='2018-08-02 12') \n```\nYou could check the example notebook too.\n\n\n## Command line usage.\n\nIt's possible use the package at terminal. \nYou need have installed python, pandas and darwinex_ticks.\n\n`python -m darwinex_ticks EURGBP EURGBP USDJPY -u paduel -w kyK8omxZm8pxp -n \ntickdata.darwinex.com -s \"2018-10-08 10\" -e \"2018-10-08 12\" -g`\n\nThis command line connect the darwinex ticks data ftp with \nthe passed user, password and hostname, download the ticks data\n of EURGBP, EURGBP and USDJPY from 2018/10/08 10:00 to 28/10/08 12:59, and \n save (-g) user, password and hostname at config file, so the next time you \n don't need to pass its.", 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