Metadata-Version: 2.1
Name: yahfin
Version: 0.3.7
Summary: Yahoo Finance Python Wrapper (Unofficial)
Home-page: https://github.com/theonlyanil/yahfin
Author: Anil Sardiwal
Author-email: theonlyanil@gmail.com
License: UNKNOWN
Description: # YahFin 0.3.x (Yahoo Finance Python Wrapper - Unofficial)
        
        The Ultimate Yahoo Finance Python module you'll ever need.
        > I was using the other yahoo finance library but it was fetching some of the data through web scrapping which was slow and some of its features didn't work at all.
        
        ## Try
        > Try it before using it: https://share.streamlit.io/theonlyanil/yahfin-interactive/main/streamlit.py
        
        ### Features:
        - Live Price Data
        - Historical Price Data
        - Multi Symbol Data
        - Options Data
        - Company Profile
        - Shareholding Info
        - Fundamental Statements
         - Balance Sheets
         - P&L
         - Cash Flows
         - (Yearly and Quarterly upto 4 years/qtrs)
        
        ## Quick Guide
        
        ### Importing into python file
        ```
          # one way
          from yahfin import yahfin as yf
        
          # other way
          import yahfin.yahfin as yf
        ```
        
        ### The Symbol Object
        ```
          tsla = yf.Symbol('TSLA')
          multiSymbols = yf.Symbol('TSLA, AAPL, MSFT, FB, ZOOM, GOOG')
        ```
        
        ### Quick Examples - Single Symbol
        ```
          from yahfin import yahfin as yf
        
          tsla = yf.Symbol('tsla')
        
          # Get Company Profile -
          tsla.profile()
        
          # Get Company's Key Managerial Personnel Info
          tsla.profile('kmp')
        
          # Live Price Data
          tsla.livePriceData()
        
          # Historical Prices
          tsla.history()  # defaults: period=max, interval=1d
          tsla.history(start='2021-01-01', end='2021-01-05')
          tsla.history(period='1y')
          tsla.history(period='5d', interval='1m')
        
          #valid periods: 1d,5d,1mo,3mo,6mo,1y,2y,5y,10y,ytd,max
          #valid intervals: 1m,2m,5m,15m,30m,60m,90m,1h,1d,5d,1wk,1mo,3mo
        
          # Options Data
          tsla.options('calls')
          tsla.options('puts')
          tsla.options('dates')
          tsla.options('strikes')
          tsla.options('quotes')
        
          # Analysis Data
          tsla.analysis()
        
          # Shareholding Data
          tsla.shareholding()
        
        ```
        
        ### Multi Symbol Data
        ```
          from yahfin import yahfin as yf
        
          multiSymbols = yf.Symbol('TSLA, AAPL, GOOG, FB, RELIANCE.NS')
        
          # All data at once
          m = multiSymbols.multi()
        
          # dataPoints of all symbols
          prices = m['regularMarketPrice']
          marketCaps = m['marketCap']
        
          # Individual Data
          aapl_price = prices['AAPL']
        
          # Note: The best thing is that it also works with single symbol.
        
        ```
        
        ### Fundamental Data
        ```
          from yahfin import yahfin as yf
        
          tsla = yf.Symbol('tsla')
        
          # Balance Sheets
          tsla.balanceSheets()
          tsla.balanceSheetsQtr()
        
          # Profile and Loss Statements
          tsla.incomeStatements()
          tsla.incomeStatementsQtr()
        
          # Cash Flow Statements
          tsla.cashFlows()
          tsla.cashFlowsQtr()
        ```
        
        ### Requirements
         - Python >= 3.x.x
         - requests
         - Pandas
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Intended Audience :: Financial and Insurance Industry
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7.7
Description-Content-Type: text/markdown
