Morningstar.com and Nasdaq stock market data downloader
Project description
StockHero
The Ticker module
The Ticker
module, gets the financial data from nasdaq.com and morningstar.com as a pandas.DataFrame
import StockHero as stock
t = stock.Ticker('NVDA') # e.g. NVIDIA Corp
t.financials # Morningstar - Financials
t.marginofsales # Morningstar - Margins % of Sales
t.profitability # Morningstar - Profitability
t.growth_rev # Morningstar - Growth - Revenue %
t.growth_op_inc # Morningstar - Growth - Operating Income %
t.growth_net_inc # Morningstar - Growth - Net Income %
t.growth_eps # Morningstar - Growth - EPS %
t.cf_ratios # Morningstar - Cash Flow - Cash Flow Ratios
t.bs # Morningstar - Balance Sheet Items (in %)
t.li_fin # Morningstar - Liquidity/Financial Health
t.efficiency # Morningstar - Efficiency
t.morningstar_quote # Morningstar - Quote
t.nasdaq_summ # Nasdaq - Summary
t.nasdaq_div_hist # Nasdaq - Dividend History
t.nasdaq_hist_quotes_stock # Nasdaq - Historical Quotes for Stocks
t.nasdaq_hist_quotes_etf # Nasdaq - Historical Quotes for ETFs
t.nasdaq_hist_nocp # Nasdaq - Historical Nasdaq Official Closing Price (NOCP)
t.nasdaq_fin_income_statement_y # Nasdaq - Financials - Income Statement - Yearly
t.nasdaq_fin_balance_sheet_y # Nasdaq - Financials - Balance Sheet - Yearly
t.nasdaq_fin_cash_flow_y # Nasdaq - Financials - Cash Flow - Yearly
t.nasdaq_fin_fin_ratios_y # Nasdaq - Financials - Financial Ratios - Yearly
t.nasdaq_fin_income_statement_q # Nasdaq - Financials - Income Statement - Quarterly
t.nasdaq_fin_balance_sheet_q # Nasdaq - Financials - Balance Sheet - Quarterly
t.nasdaq_fin_cash_flow_q # Nasdaq - Financials - Cash Flow - Quarterly
t.nasdaq_fin_fin_ratios_q # Nasdaq - Financials - Financial Ratios - Quarterly
t.nasdaq_earn_date_eps # Nasdaq - Earnings Date - Earnings Per Share
t.nasdaq_earn_date_surprise # Nasdaq - Earnings Date - Quarterly Earnings Surprise Amount
t.nasdaq_yearly_earn_forecast # Nasdaq - Earnings Date - Yearly Earnings Forecast
t.nasdaq_quarterly_earn_forecast # Nasdaq - Earnings Date - Quarterly Earnings Forecast
t.nasdaq_pe_forecast # Nasdaq - Price/Earnings & PEG Ratios - Price/Earnings Ratio
t.nasdaq_gr_forecast # Nasdaq - Price/Earnings & PEG Ratios - Forecast P/E Growth Rates
t.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
0.2.2 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
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