Metadata-Version: 2.1
Name: fundamental
Version: 0.1.1.18
Summary: Data frame downloader for fundamental financial
Home-page: https://github.com/steven2K19/fundamental
Author: Steven Wang
Author-email: steven.wang0619@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: yfinance
Requires-Dist: datetime
Requires-Dist: lxml
Requires-Dist: pandas-market-calendars

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
- It takes about 10 minutes to create a dataframe for 100 stocks.

Usage
-----

::
   # pip install fundamental

   from fundamental import fundamental

   symlist=['GOOG','MSFT','FB']

   df = fundamental.get_df_list(symlist)

   https://github.com/steven2K19/fundamental

Limitation
----------

-  slow internet connection would lead scraping error and the program
   will auto try 3 times.


