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terrycarter1985

US Stock Financial Analyzer

by terrycarter1985 · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install us-stock-financial-analyzer
Description
Automated financial indicator analysis for S&P 500 and NASDAQ stocks. Use when (1) analyzing stock financial health or valuation, (2) computing financial rat...
README (SKILL.md)

US Stock Financial Analyzer

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

Workflow

  1. Fetch data — Run scripts/fetch_financials.py to pull financial statements via yfinance.
  2. Compute indicators — Run scripts/compute_indicators.py to calculate key ratios and scores.
  3. Benchmark — Run scripts/benchmark.py to compare against sector/industry peers.
  4. 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\x3C25;roe>15;de\x3C1.5" --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
Usage Guidance
This skill appears safe to install for financial-ratio analysis if you are comfortable running local Python scripts and fetching public market data from yfinance. Use a virtual environment, consider pinning dependencies, and only configure the separate Feishu credential/channel instructions if you specifically need that integration.
Capability Analysis
Type: OpenClaw Skill Name: us-stock-financial-analyzer Version: 1.0.0 The skill bundle provides a legitimate set of tools for financial analysis using the yfinance library. The Python scripts (fetch_financials.py, compute_indicators.py, and benchmark.py) perform standard data retrieval and ratio calculations. The screening logic in compute_indicators.py is implemented safely using string parsing rather than dangerous functions like eval(). No evidence of data exfiltration, unauthorized network calls, or malicious prompt injection was found.
Capability Tags
crypto
Capability Assessment
✓ Purpose & Capability
The stated purpose is financial indicator analysis, and the included scripts fetch market data, compute ratios, and benchmark peers without unrelated mutation or destructive behavior.
ℹ Instruction Scope
The workflow uses user-run Python scripts that call yfinance; this is purpose-aligned, but users should understand ticker queries are sent to an external finance-data provider.
ℹ Install Mechanism
There is no install spec, while SKILL.md instructs users to install unpinned PyPI packages manually.
ℹ Credentials
Network access to yfinance is proportionate for fetching public stock financial data; the executable code does not read local private files or require credentials.
ℹ Persistence & Privilege
The runtime code shows no persistence or privilege escalation. An ancillary Feishu permissions reference mentions appId/appSecret setup only if activating a separate Feishu channel.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install us-stock-financial-analyzer
  3. After installation, invoke the skill by name or use /us-stock-financial-analyzer
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: S&P 500 & NASDAQ financial indicator analysis with peer benchmarking
Metadata
Slug us-stock-financial-analyzer
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is 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 rat... It is an AI Agent Skill for Claude Code / OpenClaw, with 37 downloads so far.

How do I install US Stock Financial Analyzer?

Run "/install us-stock-financial-analyzer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is US Stock Financial Analyzer free?

Yes, US Stock Financial Analyzer is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does US Stock Financial Analyzer support?

US Stock Financial Analyzer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created US Stock Financial Analyzer?

It is built and maintained by terrycarter1985 (@terrycarter1985); the current version is v1.0.0.

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