investpy 0.9.11

Beta Release - v0.9.11

on Python PyPI

Release Features:

• Crypto currencies data is now available for retrieval!
• A simple guide on how to retrieve data from different crypto currencies has been included in the README.md file.
• Volume was not being properly formatted so the volume values were always zero, now it has been properly formatted. Note that volume is available when retrieving recent or historical data from: stocks, indices and commodities (last one has been included in this release).
• Now search results can be limited since count parameter has been included in investpy.search_text() function.
• country parameter when retrieving recent and historical data from a bond has been removed since it is not needed, and has been included when retrieving data from commodities. Note that country parameter is not mandatory in commodities data retrieval functions since just some commodities have common names in different countries, so a warning will be displayed so to let the user know that in some commodities country parameter can be specified.
• investpy.funds_overview() and investpy.get_stocks_overview() functions have been created and so on, these functions will also be created in future releases for all the available financial products. Also a n_results parameter has been included since retrieving the overview from all the funds or stocks from a country can take too long (also included in investpy.get_etfs_overview()).
• investpy.get_stock_information() function has been created as requested so to retrieve information from the stock besides the recent and historical data.
• funds.csv file has been updated so to include if a fund is underlying any index, in order to let the user identify if a fund is an indexed fund or not.
• When retrieving either recent or historical data from any financial product, the index was a datetime.date value which has been formatted so to be a 'DatetimeIndex`.
• Also some bugs have been fixed as reported in the issues!

Information

Anyways, feel free to open as many issues as you think the package needs in order to improve investpy! Any kind of help is appreciated since this is an Open Source project.

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