Earnings intelligence

Institutional rigor for the independent investor.

Risk metrics, volatility forecasts, and post-earnings drift — the analysis serious money relies on, in one place.

What we do

The earnings edge, decomposed.

Earnings calendar

Every report, by date. Hover a day, see who is reporting.

Risk metrics

VaR, CVaR, beta and drawdown quality — per name.

Volatility forecasts

GARCH-based forward volatility around each earnings event.

Post-earnings drift

Surprise size and direction, scored to predict the drift.

From the Earnings Brief

Large funds don’t trade the EPS — they trade the surprise relative to consensus.

A beat with weak guidance is worth less than a miss with raised guidance. Size and direction of the gap are what feed our drift models.

The calendar

Hover a day. See what is reporting.

Click any company for its full risk and volatility profile.

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20 8 rep.
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MAY 20 · REPORTING AFTER CLOSE

NVDA EPS +33.3%
PANW EPS −4.1%

Who we are

Built by people who model this for a living.

EarningSpy is built by a software engineer with ten years of experience — currently at PayPal — holding an MBA and an MSc in Finance, with a track record building tools for the fintech industry. The combination is deliberate: the ability to build the system, and the financial judgment to know what to measure.

Start spying on earnings.