What is Chart Library?

Chart Library is a chart-pattern intelligence engine for humans and AI agents. Anchor any (symbol, date, timeframe) and it returns the cohort of historical analogs — from 25M+ indexed patterns across 19,000+ symbols and 10 years — what those analogs did next, and a calibrated forward-return distribution, over web, REST API, and MCP.

Does Chart Library predict stock prices?

No. Chart Library never forecasts. It returns historical distributions — what actually happened after setups like yours (median, p10/p90 band, up rate) — plus the receipts to audit them. Direction and decisions stay with you or your agent.

How calibrated are Chart Library's bands?

The nominal 80% forward-return band held 80.8% across 300,000+ live, audited cases under symbol-disjoint evaluation. The coverage record is public and recomputed continuously at chartlibrary.io/calibration.

Market déjà vu · 2026-07-13

SNOW today looks like KDP did in May 2020

SNOW's chart over the last 30 trading days is a 66% shape match for KDP in May 2020 — its closest historical analog across a decade of market data. In the 15 trading days after that point, KDP went +6%.

SNOW vs KDP May 2020 — what happened next

Shape match

66%

KDP, next 15d

+6%

Analog

KDP · May 2020

Read this honestly

The forward path is KDP's actual history after that date — not a prediction for SNOW. A close shape match is a starting point for research, not a signal. Different stocks with similar charts can do very different things next.

How we find the twin

We embed SNOW's recent daily chart into a 256-dimension shape vector and search millions of historical chart windows for the nearest match by shape, then re-score the finalists on the exact window shown so the lines actually overlap. The match is amplitude-aware, so it's a real twin — not just "both went up."

Go deeper

See SNOW's full cohort of historical analogs — the distribution of what they all did next, with calibrated confidence:

SNOW cohort →Open in Chart Library