Metadata-Version: 2.1
Name: yahooquery
Version: 2.2.8
Summary: Retrieve nearly all data from Yahoo Finance for one or more ticker symbols
Home-page: https://yahooquery.dpguthrie.com
Author: Doug Guthrie
Author-email: douglas.p.guthrie@gmail.com
License: MIT
Description: <p align="center">
            <a href="#"><img src="docs/docs/img/banner_image_2.png"></a>
        </p>
        <p align="center">
            <em>Python wrapper for an unofficial Yahoo Finance API</em>
        </p>
        <p align="center">
            <a href="https://travis-ci.com/dpguthrie/yahooquery" target="_blank">
                <img src="https://travis-ci.com/dpguthrie/yahooquery.svg?branch=master" alt="Build Status">
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            <a href="https://codecov.io/gh/dpguthrie/yahooquery" target="_blank">
                <img src="https://img.shields.io/codecov/c/github/dpguthrie/yahooquery" alt="Coverage">
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            <a href="https://pypi.org/project/yahooquery" target="_blank">
                <img src="https://badge.fury.io/py/yahooquery.svg" alt="Package version">
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            <a href="https://pepy.tech/project/yahooquery" target="_blank">
                <img src="https://pepy.tech/badge/yahooquery" alt="Downloads">
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        ---
        
        **Documentation**: <a target="_blank" href="https://yahooquery.dpguthrie.com">https://yahooquery.dpguthrie.com</a>
        
        **Interactive Demo**: <a target="_blank" href="https://yahooquery-streamlit.herokuapp.com">https://yahooquery-streamlit.herokuapp.com</a>
        
        **Source Code**: <a target="_blank" href="https://github.com/dpguthrie/yahooquery">https://github.com/dpguthrie/yahooquery</a>
        
        **Blog Post**: <a target="_blank" href="https://towardsdatascience.com/the-unofficial-yahoo-finance-api-32dcf5d53df">https://towardsdatascience.com/the-unofficial-yahoo-finance-api-32dcf5d53df</a>
        
        ---
        
        ## Overview
        
        Yahooquery is a python interface to unofficial Yahoo Finance API endpoints. The package allows a user to retrieve nearly all the data visible via the Yahoo Finance front-end.
        
        Some features of yahooquery:
        
        - **Fast**: Data is retrieved through API endpoints instead of web scraping. Additionally, asynchronous requests can be utilized with simple configuration
        - **Simple**: Data for multiple symbols can be retrieved with simple one-liners
        - **User-friendly**: Pandas Dataframes are utilized where appropriate
        - **Premium**: Yahoo Finance premium subscribers are able to retrieve data available through their subscription
        
        ## Requirements
        
        Python 2.7, 3.5+
        
        - [Pandas](https://pandas.pydata.org) - Fast, powerful, flexible and easy to use open source data analysis and manipulation tool
        - [Requests](https://requests.readthedocs.io/en/master/) - The elegant and simple HTTP library for Python, built for human beings.
        - [Requests-Futures](https://github.com/ross/requests-futures) - Asynchronous Python HTTP Requests for Humans
        - [Selenium](https://www.selenium.dev/selenium/docs/api/py/) - Web browser automation
        
          Selenium is only utilized to login to Yahoo, which is done when the user passes certain keyword arguments. Logging into Yahoo enables users who are subscribers to Yahoo Finance Premium to retrieve data only accessible to premium subscribers.
        
        ## Installation
        
        ```python
        pip install yahooquery
        ```
        
        ## Example
        
        The majority of the data available through the unofficial Yahoo Finance API is related to a company, which is represented in yahooquery as a `Ticker`. You can instantiate the `Ticker` class by passing the company's ticker symbol. For instance, to get data for Apple, Inc., pass `aapl` as the first argument to the `Ticker` class:
        
        ```python
        from yahooquery import Ticker
        
        aapl = Ticker('aapl')
        
        aapl.summary_detail
        ```
        
        ## Multple Symbol Example
        
        The `Ticker` class also makes it easy to retrieve data for a list of symbols with the same API. Simply pass a list of symbols as the argument to the `Ticker` class.
        
        ```python
        from yahooquery import Ticker
        
        symbols = ['fb', 'aapl', 'amzn', 'nflx', 'goog']
        
        faang = Ticker(symbols)
        
        faang.summary_detail
        ```
        
        ## License
        
        This project is licensed under the terms of the MIT license.
        
Keywords: pandas,yahoo finance,finance,stocks,mutual funds,etfs
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
Provides-Extra: test
