StockHero 0.2.4

Morningstar.com, finance.yahoo.com and Nasdaq stock market data downloader

StockHero

New Features in 0.2.4 (unplanned fix)

• Yahoo Finance is partly supported, now it should really work, sry :(
• fixed some bugs
• MultiIndex looks pretty useful

New Features planned for the next release

• clean up the code
• combine some methods
• np.NaN for any not valid value
• give back None for any empty pd.dataframe

The Ticker module

The Ticker module, gets the financial data from nasdaq.com, morningstar.com, yahoo.com as a pandas.DataFrame

import StockHero as stock
nvda = stock.Ticker('NVDA') # e.g. NVIDIA Corp

nvda.financials                         # Morningstar - Financials
nvda.marginofsales                      # Morningstar - Margins % of Sales
nvda.profitability                      # Morningstar - Profitability
nvda.growth_rev                         # Morningstar - Growth - Revenue %
nvda.growth_op_inc                      # Morningstar - Growth - Operating Income %
nvda.growth_net_inc                     # Morningstar - Growth - Net Income %
nvda.growth_eps                         # Morningstar - Growth - EPS %
nvda.cf_ratios                          # Morningstar - Cash Flow - Cash Flow Ratios
nvda.bs                                 # Morningstar - Balance Sheet Items (in %)
nvda.li_fin                             # Morningstar - Liquidity/Financial Health
nvda.efficiency                         # Morningstar - Efficiency
nvda.morningstar_quote                  # Morningstar - Quote

nvda.yahoo_statistics                   # Yahoo Finance - Statistics

nvda.nasdaq_summ                        # Nasdaq      - Summary
nvda.nasdaq_div_hist                    # Nasdaq      - Dividend History
nvda.nasdaq_hist_quotes_stock           # Nasdaq      - Historical Quotes for Stocks
nvda.nasdaq_hist_quotes_etf             # Nasdaq      - Historical Quotes for ETFs
nvda.nasdaq_hist_nocp                   # Nasdaq      - Historical Nasdaq Official Closing Price (NOCP)
nvda.nasdaq_fin_income_statement_y      # Nasdaq      - Financials - Income Statement - Yearly
nvda.nasdaq_fin_balance_sheet_y         # Nasdaq      - Financials - Balance Sheet    - Yearly
nvda.nasdaq_fin_cash_flow_y             # Nasdaq      - Financials - Cash Flow        - Yearly
nvda.nasdaq_fin_fin_ratios_y            # Nasdaq      - Financials - Financial Ratios - Yearly
nvda.nasdaq_fin_income_statement_q      # Nasdaq      - Financials - Income Statement - Quarterly
nvda.nasdaq_fin_balance_sheet_q         # Nasdaq      - Financials - Balance Sheet    - Quarterly
nvda.nasdaq_fin_cash_flow_q             # Nasdaq      - Financials - Cash Flow        - Quarterly
nvda.nasdaq_fin_fin_ratios_q            # Nasdaq      - Financials - Financial Ratios - Quarterly
nvda.nasdaq_earn_date_eps               # Nasdaq      - Earnings Date - Earnings Per Share
nvda.nasdaq_earn_date_surprise          # Nasdaq      - Earnings Date - Quarterly Earnings Surprise Amount
nvda.nasdaq_yearly_earn_forecast        # Nasdaq      - Earnings Date - Yearly Earnings Forecast 
nvda.nasdaq_quarterly_earn_forecast     # Nasdaq      - Earnings Date - Quarterly Earnings Forecast 
nvda.nasdaq_pe_forecast                 # Nasdaq      - Price/Earnings & PEG Ratios - Price/Earnings Ratio
nvda.nasdaq_gr_forecast                 # Nasdaq      - Price/Earnings & PEG Ratios - Forecast P/E Growth Rates
nvda.nasdaq_peg_forecast                # Nasdaq      - Price/Earnings & PEG Ratios - PEG Ratio

The StockExchange module

The StockExchange module, gets the financial data from the Nasdaq Stock Screener as a pandas.DataFrame
Currently only the Nasdaq is supported, the plan is to support more markets (time will tell)

import StockHero as stock
t = stock.StockExchange('something') # e.g. Nasdaq

t.nasdaq                # Nasdaq Stock Market

Combining both modules

You can combine both modules, for example

import StockHero as stock
t = stock.StockExchange('something')

df = t.nasdaq
ticker = df.loc[df['Name'].str.contains('NVIDIA'), 'Symbol'].values[0]
n = stock.Ticker(ticker)
n.financials

Installing

https://pypi.org/project/StockHero/

Legal Stuff

StockHero is distributed under the Apache Software License

Any feedback or suggestions, let me know

Or in the words of Peter Thiel:

We wanted flying cars, instead we got 140 characters

### Versions
0.2.4 Bug fixes
0.2.3 Bug fixes and added first data from Yahoo Finance
0.2.2 Bug fixes and added more data from Morningstar
0.2.1 Added more data from nasdaq.com
0.1.1 Bug fixes
0.1.0 Added the StockExchange modul
0.0.2 Bug fixes / Changed License
0.0.1 First Release