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Financial Data Collector

Pulls market data, historical financials and WACC inputs for US-listed tickers from yfinance and emits a validated, standardized JSON for downstream financial analysis skills.

Data & AnalyticsIntermediate★ 1,323⑂ 212AI score 9/10Last updated: Aug 8, 2026

What it does

  • From a single ticker, scripts/collect_data.py gathers price, share count, beta, income statement / cash flow / balance sheet (5 years by default), WACC inputs (risk-free rate via ^TNX) and analyst estimates.
  • scripts/validate_data.py checks field completeness, cross-field consistency (Market Cap = Price × Shares), sanity ranges (beta 0.3–3.0, WACC 5–20%) and sign conventions.
  • Output is one file, {TICKER}_financial_data.json, with a _source on every section. Missing values stay null instead of being silently defaulted.
  • Preserves the negative CapEx sign and flags that yfinance FCF does not deduct SBC, so DCF models don't overstate cash flow.

Who it's for

  • Analysts and investors who need trustworthy raw inputs before building DCF, comps or earnings-review models.
  • Data practitioners automating a company-financials pipeline.
  • Students and instructors who need clean datasets for financial modeling exercises.

Example uses

  1. "Collect data for META" → produces META_financial_data.json ready to hand to a DCF skill.
  2. "Pull 7 years of AAPL financials" → uses --years 7 and reports NaN years to supplement from the 10-K.
  3. "Gather NVDA WACC inputs" → validated beta, risk-free rate and net debt in one JSON block.

· · · Install guide · · ·

Try it now, no install

Paste this into Claude to use the skill without installing anything.

Read the instructions in this file and follow them to help me:
https://raw.githubusercontent.com/daymade/claude-code-skills/HEAD/daymade-financial/financial-data-collector/SKILL.md

What I want: (describe your task here)

If Claude can't open the link, open it yourself and paste the contents instead.

↓ If it works for you, download the ZIP below and install it. Then it runs on its own — no pasting each time.

Install in the Claude app (no terminal)
  1. Download the ZIP with the button below.
  2. In Claude, open Settings → Capabilities and turn on 'Code execution and file creation'. (one time)
  3. Go to Customize → Skills → + → 'Upload a skill' and upload the ZIP.
↓ Download ZIP
Install in Claude Code

Let Claude do it — paste this into Claude Code

Install the skill I found on AI Skill Mart.
Copy the daymade-financial/financial-data-collector folder from the GitHub repo daymade/claude-code-skills into my ~/.claude/skills/financial-data-collector/.
When it's done, tell me in one line what this skill can do.

Install with a command instead

git clone https://github.com/daymade/claude-code-skills.git && mkdir -p ~/.claude/skills && cp -r claude-code-skills/daymade-financial/financial-data-collector ~/.claude/skills/

⚠ This is a third-party skill. Check the source repository before installing.

  1. Open a terminal and confirm Python 3 and pip are available (python --version).
  2. Install dependencies: pip install yfinance pandas
  3. Clone the repository: git clone https://github.com/daymade/claude-code-skills.git
  4. Copy the skill into place: mkdir -p ~/.claude/skills && cp -r claude-code-skills/daymade-financial/financial-data-collector ~/.claude/skills/
  5. Restart Claude Code, then ask with a ticker, e.g. "collect financial data for META".
  6. When the JSON appears, review the validation output for warnings and any years you must fill in manually from filings.
View source on GitHub ↗License: MIT