Cindy Zhu.
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Research any stock with Claude: the one-prompt scorecard

Hey, it's Cindy ๐ŸŒฑ This is the exact workflow from my reel: one prompt that turns Claude into your pre-research analyst, pulling a company's real filings.
btw the waitlist for AI System Club is now open! If you're keen on using AI to automate your content, video editing, job search, business or build AI agents, feel free to sign up (only if you want to hehe). Ps. the waitlist gets first dibs:)
before you start

What you need

  • ๐Ÿง  A Claude account at claude.ai (web search is available on every Claude plan and cites its sources: claude.com/blog/web-search)
  • ๐ŸŽจ Artifacts turned on. They are Claude's interactive mini-apps and work on the free plan too: what are artifacts
  • ๐Ÿ›๏ธ Nothing else. The filings come from the SEC's EDGAR database, which is free public access for everyone: about EDGAR

pick a company

Step 1: pick your ticker

  • ๐ŸŽฏ Any US-based public company works. They must file a 10-K annual report (audited financials) plus quarterly 10-Qs: what a 10-K is. Foreign companies listed in the US file a 20-F annual report instead, and the prompt still works, Claude just pulls that.
  • ๐Ÿ”Ž Want to see the raw filings yourself first? Search any company at EDGAR full-text search

copy this

Step 2: paste the master prompt

Swap in your ticker and paste the whole thing into a new Claude chat:

๐Ÿ“‹ the scorecard prompt
You are an equity research analyst building a pre-screening risk scorecard. The company is [TICKER].

Step 1: research. Use web search and cite every figure as you go.
- Pull the company's latest 10-K (annual report) and most recent 10-Q filings from SEC EDGAR.
- Pull the last four quarters of revenue, gross margin, operating margin, EPS, and free cash flow.
- Pull current valuation context: market cap, trailing and forward P/E, EV/EBITDA, price/sales, price/book, PEG.
- Pull balance sheet basics: cash position, total debt, debt/equity, current ratio.
- Pull growth signals: revenue growth, segment growth, margin trajectory.
- Pull the 3 biggest upcoming catalysts and the 3 biggest risk factors (start from the 10-K risk factors section, then recent news).

Step 2: score. Rate three pillars from 0 to 100 and show your working.
- Valuation: cheap vs stretched, relative to growth and to the company's own history.
- Financial health: balance sheet strength, liquidity, margins, cash generation.
- Growth: revenue and segment trajectory, margin direction.
Weight them 40/30/30 into one overall score. Bands: 0-39 high risk, 40-69 mixed, 70-100 healthier profile. Give every metric a one-word tag (e.g. stretched, conservative, improving).

Step 3: build. Create an interactive artifact (single-page React, dark theme) with:
- A header card: ticker, company name, price context, the overall score on a gauge, and a three-sentence verdict in everyday language.
- A valuation grid, a financial health grid, and a growth grid, one card per metric with its tag.
- A quarterly trend table for the last four quarters.
- A catalysts vs risks two-column panel.
- A bottom line section written like an analyst note, three sentences max.
- A sources tab listing every figure with the URL it came from, grouped by section.

Rules: if you cannot verify a number, mark it "unverified" instead of guessing. Prefer primary sources (SEC filings and the company's investor relations page) over blogs. Add a footer that says this is a research aid, not investment advice.

how to read it

Step 3: read it like an analyst, not a fan

  • ๐Ÿ“Š Start with the three pillar scores, not the overall number. The shape tells you more than the total.
  • ๐Ÿšฉ Any red-tagged metric is a question to answer, not a verdict, click into why it got that tag.
  • ๐Ÿ“… The quarterly trend table is where stories fall apart or hold up. One great quarter is noise, four in a row is a pattern.

check the numbers

Step 4: verify the three numbers that drive the score

  • ๐Ÿ”— Open the sources tab and click through on the two or three figures doing the most work in the verdict.
  • ๐Ÿ›๏ธ Cross-check them against the actual filing on EDGAR: EDGAR full-text search
  • โœ๏ธ If something is off, tell Claude "recheck this figure against the 10-Q and update the scorecard", it will correct and re-render.

do it again

Step 5: make it reusable

  • โ™ป๏ธ Save the master prompt as instructions in a Claude Project, then a new scorecard is just typing a ticker.
  • ๐Ÿ—“๏ธ Re-run it after each quarterly 10-Q drops so the trend table stays current.
  • โš–๏ธ Compare two companies by running the same prompt twice, the identical rubric is what makes the comparison fair.

the honest bit

Honest limits (read this bit)

โฑ๏ธ Numbers can lag on fast-moving days. The scorecard is a snapshot, not a live feed.
๐Ÿค– Claude can misread or mis-source a figure, which is exactly why the sources tab is non-negotiable.
๐Ÿงญ Scores are a screening aid for your own research, not a buy or sell signal. Nothing here is financial advice.

the context

Why this works so well now

  • ๐Ÿฆ The filings Claude reads are the same public documents professionals use. EDGAR serves them free to everyone: about EDGAR
  • ๐Ÿ’ผ Anthropic even builds a dedicated financial services offering on top of Claude for institutions doing due diligence and research: Claude for financial services
  • ๐Ÿ’ธ The data terminal this replaces for a hobby-level workflow runs about $31,980 a year per seat in 2026: Bloomberg Terminal pricing
the waitlist is now open

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btw this list gets first dibs
the moment doors open :)