Metadata-Version: 1.0
Name: fundamental
Version: 0.1.1.4
Summary: Dataframe downloader for fundamental financials
Home-page: https://github.com/steven2K19/fundamental
Author: Steven Wang
Author-email: steven.wang0619@gmail.com
License: MIT
Description: fundamental — Dataframe for fundamental financials
        ==================================================
        
        It is a Python 3 library for generating stock fundamental data through
        YahooFinance. The library is primarily based on yfinance package.
        fundamental requires only list of tickers input from the user and easily
        generate dataframe for fundamental ratio analysis, relative value ratio
        analysis and industry relative analysis.
        
        Data inclusion
        --------------
        
        -  financials for recent 3 years. (income statement, balance sheet, cash
           flow statement)
        -  calendar year end financials for comparision.
        -  TTM financial by aggregate recent 4 quarters data
        -  Basic share data for each fiscal year end and recent fiscal quarter
           end
        -  price data for each fiscal year end and recent fiscal quarter end
        
        Ticker source example
        ---------------------
        
        https://www.ishares.com/us/products/239522/ishares-us-technology-etf
        Holding section show the full list of component
        
        Usage
        -----
        
        ::
        
           # pip install git+https://github.com/steven2K19/fundamental
           # or simply download the py file in your folder
        
           from fundamental import get_df_list
        
           symlist=['GOOG','MSFT','FB'] 
           df = get_df_list(symlist)        
        
        Limitation
        ----------
        
        -  It takes about 10 minutes to create dataframe for 100 stocks.
        -  Few tickers cannot be scraped by yfinance.
        -  slow internet connection would lead scraping error and the program
           will auto try 3 times.
        
Platform: UNKNOWN
