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Analyze earnings

Goal. Build a defensible view on a company's earnings print: what was the consensus, what did they actually report, and what changed in their guidance.

Setup

  • Symbol of interest (we'll use AAPL as the example).
  • Security dashboard accessible from your plan tier.

Steps

  1. Focus the symbol. Type AAPL in the command bar, press Enter. Then press s to open the Security dashboard.
  2. Read the consensus. Navigate to Analyst Estimates → Actuals & Consensus (fundamentals#actuals). Note the consensus EPS and revenue for the latest reported quarter.
  3. Compare to actuals. Same panel — see the beat/miss magnitudes.
  4. Check estimate revisions. Analyst Estimates → Estimates Trends (fundamentals#trends). Have analysts been revising up or down going into the print? Sustained revisions tell a different story than a sudden post-print revision.
  5. Drill into financials. Financial Analysis → Income Statement (fundamentals#income) — revenue mix, gross / operating / net margin trend.
  6. Read the transcript. News & Filings → Transcripts (disclosures#transcripts). Skim the prepared remarks, then jump to Q&A.
  7. Summarize with AI. With the transcript open, switch to AI chat and ask: "Summarize management's commentary on margins and guidance." The active panel's text is in context.
  8. Cross-check the price reaction. Graphs → Intraday (the security dashboard intraday panel) on the day of the print to see how the market interpreted what you just read.

What you should see

  • A coherent picture: consensus expectations, what was reported, the revision trend going in, the management explanation, and the market's reaction in one workspace.
  • A short AI-generated summary you can paste into your notes or share via permalink.

Variations

Tips

  • Transcripts post 2–24 hours after the call ends; for live commentary, use a separate live feed.
  • Don't take the AI summary at face value — open the transcript section it cites and confirm the quote.

Released under the project license. Public sources only — no proprietary or restricted data.