tomatocream
b5bf689e72
- Add yfinance.org and defeatbeta-api.org reference docs - Fix defeatbeta_mapping.org: deprecated yfinance property names (quarterly_financials→quarterly_income_stmt, financials→income_stmt), longName vs longBusinessSummary conceptual mismatch, cashflow note typo - Add Mapping Limitations section with live verification results (AAPL): DuckDB 1.4.3 incompatibility, format differences, coverage gaps - Add docs/test_mapping.py as runnable mapping verification script - Add offline.py, persistent_cache.py, download_data.py, warmup_cache.py for offline/cached defeatbeta usage - Add aapl_yfinance.py exploration script and quant.py scaffold - Add .envrc (uv layout) and update pyproject.toml + uv.lock Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
1.8 KiB
1.8 KiB
AAPL - All yfinance Data
import yfinance as yf
import marimo as mo
ticker = yf.Ticker("AAPL")
Price History
history = ticker.history(period="1y", interval="1d")
mo.ui.table(history.tail(30))
Dividends
mo.ui.table(ticker.dividends.tail(20))
Splits
mo.ui.table(ticker.splits)
Income Statement
mo.ui.table(ticker.get_income_stmt())
Balance Sheet
mo.ui.table(ticker.get_balance_sheet())
Cash Flow
mo.ui.table(ticker.get_cashflow())
Analyst Recommendations
mo.ui.table(ticker.recommendations.tail(20))
Analyst Target Prices
mo.ui.table([ticker.target_prices])
Earnings Dates
mo.ui.table(ticker.earnings_dates)
Options Expirations
expirations = ticker.get_options()
f"Available: {expirations}"
if expirations:
chain = ticker.option_chain(expirations[0])
mo.ui.table(chain.calls)
mo.ui.table(chain.puts)
Major Holders
mo.ui.table(ticker.major_holders)
Institutional Holders
mo.ui.table(ticker.institutional_holders)
Sustainability / ESG
mo.ui.table([ticker.sustainability])
Calendar / Events
mo.ui.table(ticker.calendar)
Company Info Summary
info = ticker.info
{
"name": info.get("longName"),
"sector": info.get("sector"),
"industry": info.get("industry"),
"marketCap": info.get("marketCap"),
"peRatio": info.get("trailingPE"),
"fwdDividend": info.get("dividendYield"),
"52wkHigh": info.get("fiftyTwoWeekHigh"),
"52wkLow": info.get("fiftyTwoWeekLow"),
"avgTarget": info.get("targetMeanPrice"),
"recommendation": info.get("recommendationKey"),
}