Data frame downloader for fundamental financial
Project description
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 - It takes about 10 minutes to create a dataframe for 100 stocks.
Usage
- ::
# pip install fundamental from fundamental import get_df_list
symlist=[‘GOOG’,’MSFT’,’FB’] df = get_df_list(symlist)
Limitation
Few tickers cannot be scraped by yfinance.
slow internet connection would lead scraping error and the program will auto try 3 times.
Project details
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