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AI Earnings Calendar

Earnings calendar with AI-generated predictions, historical accuracy stats, transcripts, and post-earnings analysis.

Find it at: /ai-earnings-calendar (detail page at /ai-earnings-calendar/:name).

1. What you see​

The calendar landing page is built around three pieces:

  • Three-day strip. Quick view of yesterday / today / tomorrow with the tickers reporting in each window, grouped by market session (pre-market, after-market, intraday).
  • Date filter. Click any date in the picker to jump the table to that calendar day. The default is today (U.S./New York time).
  • Group views. Toggle between By date (default) and By sector to see which industries are reporting concurrently.
  • Filters. Optional toggles for Up > 3%, Down, and Within ±0.3% surprise to focus on the moves worth watching.

Each row shows: company logo + ticker, fiscal quarter, market cap, consensus EPS / revenue estimates, the AI-predicted direction, and (after the print) actual vs surprise.

Earnings calendar

2. AI predictions​

For each upcoming earnings event, Alphio publishes a forward prediction:

  • EPS prediction. Direction and magnitude vs consensus.
  • Revenue prediction. Direction and magnitude vs consensus.
  • Surprise band. Confidence range around the expected print.
  • Predicted trend. Short text rationale (e.g. "Cloud growth and AI capex tailwind").

Predictions are released at 1:30 AM ET on the earnings release date so they reflect the latest market and macro state. Some tickers may not get a prediction if liquidity or data signal is too low to publish a reliable forecast.

Available on Pro and Elite plans.

warning

The exact plans that gate AI Earnings Predictions are being finalized — earlier in-product copy referenced "Annual Expert" which is being renamed. Confirm with the product team before publishing the entitlement matrix.

3. Earnings call transcripts​

Click any past earnings row to open the detail page (/ai-earnings-calendar/:name). The detail page includes:

  • AI Summary — bullet-point recap of management commentary.
  • Predicted vs Actual — side-by-side numbers and surprise.
  • Word Cloud — most-used terms from the call.
  • Transcripts — full call transcript, paginated by section. Past quarters are accessible via a tab so you can compare across periods.

4. Historical accuracy​

A track-record block sits on each detail page and on the landing page:

  • Previous Winner stats. How often Alphio's prediction matched the actual direction for this ticker.
  • Model performance over time. Aggregate accuracy across the universe — hit rate and average surprise error per quarter.
  • Sector breakdown. Where the model has been most and least reliable.

Use these stats to weight how much to trust the next prediction.

5. Subscribing​

You can ask Alphio AI to alert you on watchlist tickers as their earnings approach:

  • "Alert me 24 hours before any of my watchlist names report." — creates a periodic / event-driven task.
  • "Send me the Alphio prediction for NVDA the morning of the call." — one-shot alert.

Earnings alerts arrive through the AI_ALERT channel; configure delivery in Notifications settings.

Agent Instructions: Querying This Documentation

If you need information not on this page, you can query the docs dynamically by sending a GET request with the ask query parameter:

GET https://docs.alphio.ai/research/ai-earnings-calendar.md?ask=<question>

The question should be specific, self-contained, and written in natural language. The response includes a direct answer plus relevant excerpts and sources.