Metadata-Version: 2.1
Name: finvizfinance
Version: 0.12.1
Summary: Finviz Finance. Information downloader.
Home-page: https://github.com/lit26/finvizfinance
Author: Tianning Li
Author-email: ltianningli@gmail.com
License: The MIT License (MIT)
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        # finvizfinance
        
        finvizfinance is a package which collects financial information from FinViz website. The package provides the information of the following:
        * Stock charts, fundamental & technical information, insider information and stock news
        * Forex charts and performance
        * Crypto charts and performance
        
        Screener and Group provide dataframes for comparing stocks according to different filters and trading signals.
        
        Docs: https://finvizfinance.readthedocs.io/en/latest/
        
        ### Downloads
        
        To download the latest version from GitHub:
        
        ```
        $ git clone https://github.com/lit26/finvizfinance.git
        ```
        Or install from PyPi:
        ```
        $ pip install finvizfinance
        ```
        
        
        
        ### Quote
        
        Getting information (fundament, description, outer rating, stock news, inside trader) of an individual stock.
        
        ```python
        from finvizfinance.quote import finvizfinance
        
        stock = finvizfinance('tsla')
        ```
        
        #### Chart
        ```python
        stock.ticker_charts()
        ```
        
        #### Fundament
        ```python
        stock_fundament = stock.ticker_fundament()
        
        # result
        # stock_fundament = {'Company': 'Tesla, Inc.', 'Sector': 'Consumer Cyclical', 
        # 'Industry': 'Auto Manufacturers', 'Country': 'USA', 'Index': '-', 'P/E': '849.57', 
        # 'EPS (ttm)': '1.94', 'Insider Own': '0.10%', 'Shs Outstand': '186.00M', 
        # 'Perf Week': '13.63%', 'Market Cap': '302.10B', 'Forward P/E': '106.17',
        # ...}
        ```
        
        #### Description
        ```python
        stock_description = stock.ticker_description()
        
        # stock_description
        # stock_description = 'Tesla, Inc. designs, develops, manufactures, ...'
        ```
        
        #### Outer Ratings
        ```python
        outer_ratings_df = stock.ticker_outer_ratings()
        ``` 
        #### Stock News
        ```python
        news_df = stock.ticker_news()
        ```
        
        #### Inside Trader
        ```python
        inside_trader_df = stock.ticker_inside_trader()
        ```
        
        ### News
        
        Getting recent financial news from finviz.
        
        ```python
        from finvizfinance.news import News
        
        fnews = News()
        all_news = fnews.get_news()
        ```
        Finviz News include 'news' and 'blogs'.
        ```python
        all_news['news'].head()
        ```
        ```python
        all_news['blogs'].head()
        ```
        
        ### Insider
        
        Getting insider trading information.
        
        ```python
        from finvizfinance.insider import Insider
        
        finsider = Insider(option='top owner trade')
        # option: latest, top week, top owner trade
        # default: latest
        
        insider_trader = finsider.get_insider()
        ```
        
        ### Screener (Overview, Valuation, Financial, Ownership, Performance, Technical)
        
        Getting multiple tickers' information according to the filters.
        
        #### Example: Overview
        
        ```python
        from finvizfinance.screener.overview import Overview
        
        foverview = Overview()
        filters_dict = {'Index':'S&P 500','Sector':'Basic Materials'}
        foverview.set_filter(filters_dict=filters_dict)
        df = foverview.screener_view()
        df.head()
        ```
        
        ### Screener (Ticker)
        
        Getting list of tickers according to the filters.
        
        ### Credit
        Developed by Tianning Li. Feel free to give comments or suggestions.
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: License :: OSI Approved :: MIT License
Requires-Python: >=3.5
Description-Content-Type: text/markdown
