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    "info": {
        "author": "Maverick",
        "author_email": "maverickjet@protonmail.com",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: POSIX :: Linux",
            "Programming Language :: Python :: 3"
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        "description": "# YahooFinanceDataLoader\n\nYahooFinanceDataLoader allows to download historical quotes data in bulk\nfrom the YahooFinance website. The downloaded data is in csv format.\n\n## API\n\n#### Implemented methods:  \n- download_bulk_data  \n- get_assets_from_csv\n\n\n**download_bulk_data** ( assetsList, start_date, end_date, interval, data_directory, maxNThreads=20, nTrials=3 )\n\nMethod description: downloads stocks historical data from YahooFinance in csv format.\n\n**Return Value**: a list of symbols for which download has failed\n\n###### Parameters:\n- assetsList - list of assets, for example ['AAPL', 'MSFT', 'NVDA']\n- start_date - start date for your download ('yyyy-mm-dd'), for example '2019-01-01'\n- end_date - end date for your download ('yyyy-mm-dd'), for example '2019-01-31'\n- interval - download interval, '1d' for daily, '1wk' for weekly, '1mo'\n- data_directory - directory location to save downloaded data\n\n###### Optional parameters:\n- maxNThreads - maximum number of threads to use for data download, \n\t\tthe default value is 20.\n- nTrials - number of trials to be used for download, the default\n\t\tvalue is 3. Explanation: due to connectivity issues your download may fail, \n\t\tand it is worth trying to re-send your download request.\n\n###### Example:\n\n```python\nfrom YahooFinanceDataLoader import download_bulk_data\n\nassetsList = ['AAPL', 'ADBE', 'AMZN', 'CSCO', 'FB', 'GOOGL', 'FAKE'] \nstart_date = '2018-01-01'\nend_date = '2018-01-31'\ninterval = '1d'\ndata_directory = '/home/user_name/stock_price_data'\nmaxNThreads = 20\nnTrials = 3\n\nfailed_downloads = download_bulk_data(assetsList, start_date, end_date, interval, \n\t\t\t\t\tdata_directory, maxNThreads, nTrials)\nprint('Failed downloads: ', failed_downloads)\n```\n\n**get_assets_from_csv** ( csv_file, field_list = ['Symbol', 'Company'] )\n\n\nMethod description: reads assets from the csv file and returns a list of assets.\n\tcsv file has to have a header, and the column containing stock symbols has\n\tto be named 'Symbol'\n\n**Return Value**: a list of asset symbols read from the csv file\n\n###### Parameters:\n- csv_file - path to the csv file containing assets data\n\n###### Optional parameters:\n- field_list - a list containing csv file header names, \n      for example ['Symbol', 'Company']\n\n###### Example:\n\n```python\nfrom YahooFinanceDataLoader import download_bulk_data\n\nassetsList = get_assets_from_csv('/home/user_name/assets.csv', ['Symbol', 'Company'])\nstart_date = '2018-01-01'\nend_date = '2018-01-31'\ninterval = '1d'\ndata_directory = '/home/user_name/stock_price_data'\nmaxNThreads = 20\nnTrials = 3\n\nfailed_downloads = download_bulk_data(assetsList, start_date, end_date, interval, \n\t\t\t\t\tdata_directory, maxNThreads, nTrials)\nprint('Failed downloads: ', failed_downloads)\n```\n\n\n\n",
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        "keywords": "Yahoo Finance stock price csv",
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        "name": "YahooFinanceDataLoader",
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