
Security News
Official Go SDK for MCP in Development, Stable Release Expected in August
The official Go SDK for the Model Context Protocol is in development, with a stable, production-ready release expected by August 2025.
It's an open-source tool that uses publicly available APIs and other sources, and is intended for research and educational purposes only. If you find a bug, try fix it yourself first.
The library was crafted by a Large Language Model, no programmer was hurt during the process
The Ticker
module, gets the financial data from nasdaq.com, morningstar.com as a pandas.DataFrame
import StockHero as stock
nvda = stock.Ticker('NVDA') # e.g. NVIDIA Corp
#or
nvda = stock.Ticker('US67066G1040') # e.g. NVIDIA Corp
''' Morningstar API '''
nvda.morningstar.quote # Quote
nvda.morningstar.key_statistics # Key Statistics (combination of the ones below)
nvda.morningstar.growth_rev # Growth - Revenue %
nvda.morningstar.growth_op_inc # Growth - Operating Income %
nvda.morningstar.growth_net_inc # Growth - Net Income %
nvda.morningstar.growth_eps # Growth - EPS %
''' NASDAQ API '''
nvda.nasdaq.summ # Summary
nvda.nasdaq.div_hist # Dividend History
nvda.nasdaq.hist_quotes_stock # Historical Quotes for Stocks
nvda.nasdaq.hist_quotes_etf # Historical Quotes for ETFs
nvda.nasdaq.hist_nocp # Historical Nasdaq Official Closing Price (NOCP)
nvda.nasdaq.fin_income_statement_y # Financials - Income Statement - Yearly
nvda.nasdaq.fin_balance_sheet_y # Financials - Balance Sheet - Yearly
nvda.nasdaq.fin_cash_flow_y # Financials - Cash Flow - Yearly
nvda.nasdaq.fin_fin_ratios_y # Financials - Financial Ratios - Yearly
nvda.nasdaq.fin_income_statement_q # Financials - Income Statement - Quarterly
nvda.nasdaq.fin_balance_sheet_q # Financials - Balance Sheet - Quarterly
nvda.nasdaq.fin_cash_flow_q # Financials - Cash Flow - Quarterly
nvda.nasdaq.fin_fin_ratios_q # Financials - Financial Ratios - Quarterly
nvda.nasdaq.earn_date_eps # Earnings Date - Earnings Per Share
nvda.nasdaq.earn_date_surprise # Earnings Date - Quarterly Earnings Surprise Amount
nvda.nasdaq.yearly_earn_forecast # Earnings Date - Yearly Earnings Forecast
nvda.nasdaq.quarterly_earn_forecast # Earnings Date - Quarterly Earnings Forecast
nvda.nasdaq.pe_peg_forecast # Price/Earnings, PEG Ratios, Growth Rates Forecast
The StockExchange
module, gets the financial data from the NASDAQ Stock Screener
Added CNN Fear and Greed Index
import StockHero as stock
t = stock.StockExchange('something') # e.g. Nasdaq
''' NASDAQ API '''
t.nasdaq # Nasdaq Stock Market
''' CNN API '''
t.cnn_fear_and_greed # CNN Fear and Greed Index
t.cnn_fear_and_greed_graph_data # CNN Fear and Greed Graph API
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.morningstar_quote
StockHero is distributed under the Apache Software License
Or in the words of Peter Thiel:
We wanted flying cars, instead we got 140 characters
0.4.21 Bug Fixes
...
0.0.1 First Release
FAQs
market data from finance APIs and other publicy available sources
We found that StockHero demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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