Market Analytics

Every month has a track record.

A month-by-month matrix of historical returns — see how a stock has actually behaved across the calendar, year after year.

Seasonal Monthly Returns heatmap for ticker M covering July 2021 through June 2026, with per-month averages and best and worst months highlighted.
Illustrative example as of June 2026. For informational and research purposes only — not investment advice.

What it tells you

The Seasonal Returns table lays out a stock's monthly total returns — dividends included — for the most recent 60 complete months as a single matrix: every January next to every other January. Patterns of strength and weakness across the calendar become visible at a glance, as does the consistency (or inconsistency) behind seasonal folklore. Whether you time entries or simply want to know what turbulence is historically normal for a holding, the matrix replaces anecdote with the actual record.

Who it's for

For investors who'd rather see five years of Septembers than be told a story about one.

How it works

  • Monthly total returns — close-to-close over actual trading sessions, dividends included — are computed fresh from dividend-adjusted prices on every request.
  • The most recent 60 complete calendar months are arranged as a year-by-month heatmap; the current in-progress month is always excluded, and partial months are never blended into a fake return.
  • An average row and companion bar chart summarize each calendar month's tendency, and the single best and worst months in the window are highlighted automatically.
  • Historical record only — no predictive claims.
Included in Professional

Also in Institutional. Server-enforced.

Questions

Does seasonality predict future returns?
No — and we won't tell you it does. The table shows the historical record; what it means for the future is your judgment to make.
All Signal. No Noise.

See the full methodology on your own coverage list.