us-stock-financial-analyzer

Automated financial indicator analysis for S&P 500 and NASDAQ stocks. Use when (1) analyzing stock financial health or valuation, (2) computing financial ratios (PE, PB, ROE, D/E, etc.), (3) benchmarking a stock against sector/industry peers, (4) generating financial summary reports, (5) screening stocks by financial criteria, (6) comparing S&P 500 vs NASDAQ constituents. NOT for real-time trading signals, technical chart analysis, or options pricing.

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Install skill "us-stock-financial-analyzer" with this command: npx skills add terrycarter1985/us-stock-financial-analyzer

US Stock Financial Analyzer

Analyze S&P 500 and NASDAQ stock financial data through automated indicator computation, peer benchmarking, and structured reporting.

Workflow

Fetch data — Run scripts/fetch_financials.py to pull financial statements via yfinance.
Compute indicators — Run scripts/compute_indicators.py to calculate key ratios and scores.
Benchmark — Run scripts/benchmark.py to compare against sector/industry peers.
Report — Synthesize results into a structured summary.

For full indicator definitions and formulas, see references/indicators.md.

Quick Start

Single-stock analysis

python3 scripts/fetch_financials.py AAPL
python3 scripts/compute_indicators.py AAPL

Peer benchmarking

python3 scripts/benchmark.py AAPL --index sp500
python3 scripts/benchmark.py MSFT --index nasdaq

Batch screening

python3 scripts/fetch_financials.py AAPL MSFT GOOGL --batch
python3 scripts/compute_indicators.py --screen "pe<25;roe>15;de<1.5" --index sp500

Output Format

All scripts output JSON to stdout. Pipe to jq or redirect to file:

python3 scripts/compute_indicators.py AAPL | jq '.valuation'

Key Indicators

Category	Indicators
Valuation	PE, PB, PS, PEG, EV/EBITDA
Profitability	ROE, ROA, Gross Margin, Net Margin
Leverage	D/E, Interest Coverage, Equity Ratio
Growth	Revenue CAGR, EPS Growth, FCF Growth
Liquidity	Current Ratio, Quick Ratio

Full formulas in references/indicators.md.

Dependencies

Requires: yfinance, pandas, numpy. Install via:

pip install yfinance pandas numpy

Source Transparency

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