Metadata-Version: 2.1
Name: yahooquery
Version: 2.2.6
Summary: Retrieve nearly all data from Yahoo Finance for one or more ticker symbols
Home-page: https://github.com/dpguthrie/yahooquery
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">
            </a>
            <a href="https://codecov.io/gh/dpguthrie/yahooquery" target="_blank">
                <img src="https://img.shields.io/codecov/c/github/dpguthrie/yahooquery" alt="Coverage">
            </a>
            <a href="https://pypi.org/project/yahooquery" target="_blank">
                <img src="https://badge.fury.io/py/yahooquery.svg" alt="Package version">
            </a>
        </p>
        
        ---
        
        **Documentation**: <a target="_blank" href="https://dpguthrie.github.io/yahooquery/">https://dpguthrie.github.io/yahooquery/</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](guide/ticker/keyword_arguments.md#username-and-password).  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 :fontawesome-brands-apple:, 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
