Fundamentals
Fetch fundamental financial data from Yahoo Finance.
Instructions
Note: If
uvis not installed orpyproject.tomlis not found, replaceuv run pythonwithpythonin all commands below.
bash
uv run python scripts/fundamentals.py SYMBOL [--type TYPE]
Arguments
- •
SYMBOL- Ticker symbol - •
--type- Data type: all, financials, earnings, info (default: all)
Output
Returns JSON with:
- •
info- Key metrics (market cap, PE, EPS, dividend, etc.) - •
financials- Recent quarterly/annual income statement data - •
earnings- Historical and estimated earnings
Present key metrics clearly. Compare actual vs estimated earnings if relevant.
Piotroski F-Score
Calculate Piotroski's F-Score to evaluate a company's financial strength using 9 fundamental criteria.
Instructions
bash
uv run python scripts/piotroski.py SYMBOL
What is Piotroski F-Score?
Piotroski's F-Score is a fundamental analysis tool developed by Joseph Piotroski that evaluates a company's financial strength using 9 criteria. Each criterion scores 1 point if passed, 0 if failed, for a maximum score of 9.
The 9 Criteria
- •Positive Net Income - Company is profitable
- •Positive ROA - Assets are generating returns
- •Positive Operating Cash Flow - Company generates cash from operations
- •Cash Flow > Net Income - High-quality earnings (cash exceeds accounting profit)
- •Lower Long-Term Debt - Decreasing leverage (improving financial position)
- •Higher Current Ratio - Improving liquidity
- •No New Shares Issued - No dilution (or share buybacks)
- •Higher Gross Margin - Improving profitability efficiency
- •Higher Asset Turnover - More efficient use of assets
Score Interpretation
- •8-9: Excellent - Very strong financial health
- •6-7: Good - Strong financial health
- •4-5: Fair - Moderate financial health
- •0-3: Poor - Weak financial health
Output
Returns JSON with:
- •
score- F-Score (0-9) - •
max_score- Maximum possible score (9) - •
criteria- Detailed breakdown of each criterion with pass/fail status and values - •
interpretation- Text description of financial health level - •
data_available- Boolean indicating if year-over-year comparison data is available for criteria 5-9
Implementation Details
- •Criteria 1-4 use quarterly financial data (most recent year)
- •Criteria 5-9 use annual financial data for year-over-year comparisons
- •Compares most recent fiscal year vs previous fiscal year
Use Cases
Use Piotroski F-Score when:
- •Evaluating fundamental financial strength
- •Screening for value stocks with improving fundamentals
- •Assessing financial health trends
- •Comparing financial strength across companies
- •Identifying companies with strong fundamentals but undervalued prices
Dependencies
- •
pandas - •
yfinance