Metadata-Version: 2.1
Name: FINANCEPP
Version: 1.3.3
Summary: Algorithm for finance
Home-page: UNKNOWN
License: MIT
Description: Documentation of the "CovidResilience" package
        
        The purpose of the package is, given a list of stock tickers, to state what are the most covid resilient stocks and what are the worst ones.
        It computes a very simple score based on the volatility and return of the stocks over different periods of time.
        
        
        CovidResilience(stock_index = "STOXX 600", start_date = "2020-01-19", end_date = "2021-01-19", tickers = None)
        
        
        Input: 
        
        - stock_index : benchmark  (example : "CAC 40","S&P 500", "STOXX 600")
        - start_date, end_date : strings, format "YYYY-MM-DD"
        - tickers : list of tickers
        
        
        Output:
        
        - .relevant_data
        - .relevant_data_returns
        - .volatilities
        - .rslt
        
        
        Example (copy/paste):
        
        !pip install FINANCEPP
        
        from finance import covidresilient as cr
        
        list_of_tickers = ["FP.PA","MC.PA","AI.PA","OR.PA", "RI.PA","AIR.PA"]
        
        covidfilter = cr.CovidResilience("CAC 40","2020-01-19", "2021-01-19", tickers = list_of_tickers)
        
        covidfilter.run()
        
        covidfilter.rslt
        
        Note that some of the tickers may not be the ones that are used by yahoo finance. Make sure you use the proper tickers.
Platform: UNKNOWN
Description-Content-Type: text/markdown
