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Gathering VIII · leaf 6 of 11
COUNTERPOINT · PEAKS & TROUGHS

COUNTERPOINT · PEAKS & TROUGHS — Peaks scatter, troughs cluster

Peak/trough timing — Peaks scatter across history; troughs crowd into crisis years.

Distribution of each stock's max-drawdown peak month (up) and trough month (down). Peaks are scattered; troughs cluster in 2000–02, 2008–09, 2020 and 2022.

View the interactive chart Download raw JSON

What this page answers

This static page is built to answer searches for COUNTERPOINT · PEAKS & TROUGHS. It summarizes the live dataset behind the Peaks scatter, troughs cluster panel and links to the full interactive chart.

Distribution of each stock's max-drawdown peak month (up) and trough month (down). Peaks are scattered; troughs cluster in 2000–02, 2008–09, 2020 and 2022. The data is refreshed by the History of Market pipeline and published as a stable JSON endpoint for research, citation, and AI-agent use.

The plate

COUNTERPOINT · PEAKS & TROUGHS — Peaks scatter, troughs cluster10050050198519901995200020052010201520202025peaktrough
Plate VIII.6 Distribution of each stock's max-drawdown peak month (up) and trough month (down). Peaks are scattered; troughs cluster in 2000–02, 2008–09, 2020 and 2022. 2026-08-22

Latest Snapshot

Updated
2026-08-22

Data & Source

GET /api/latest/dd-study.json — Canonical dataset endpoint.

Exchange closing prices · Company filings · Robert Shiller · FRED · NBER.

FAQ

Where does this data come from?

History of Market combines public market and macro datasets — exchange closing prices, company filings, Robert Shiller, FRED, NBER, and the UBS Global Investment Returns Yearbook (Dimson–Marsh–Staunton). The exact endpoint for this panel is linked below.

How often is it updated?

Daily-tier datasets refresh after the U.S. market close, with a broader weekly refresh on Sunday. The timestamp shown on this page comes from the JSON payload.

Can I use the data?

Yes, for research and education with attribution to History of Market. Upstream data sources retain their own terms.