Historical pattern-matching equity research platform for investors and investment professionals.

See how stocks similar to yours performed in the past.Find today’s stocks that look like history’s biggest winners.

Every match is explained and traceable to source.

What those 40 went on to do — against the market over the very same weeks
+10.0%median, 6 months on
−1.7%market, same weeks
+11.7%difference
< −50%1
−50% to −25%1
−25% to −10%6
−10% to 0%5
0% to +10%7
+10% to +25%9
+25% to +50%11
68% of matches rose, against 47% for the market. Only companies that still exist today are in this universe.

4,515 US equities · SEC EDGAR filings, point-in-time · no look-ahead, enforced in tests · validated across 922 historical periods

Research tool · not investment advice · anchor dates from 2019

What you can do with it

Three questions, one body of evidence.

Tested against chance

The better the match, the closer the outcome.

We ran 922 historical searches on periods where the reference company later gained 25% or more — chosen by what it did, never by what the matches did. Random picks over the same dates returned −0.5%. The matches beat them, and the margin grew with the score.

+2.9 pts
how far 90%+ matches beat random picks over the following six months — a margin, not a forecast
922
historical reference periods tested, across 3.9 million scored candidates
What this does not show: it doesn’t predict returns. Every figure is a margin over chance — how far matches beat random stocks from the same universe and dates, over six months, on US equities. Below a 75% match the margin is +0.2 points, which is no edge at all — that row is shown rather than hidden, because it is what makes the top one mean something.
Match scoreCandidatesMedian 6-month returnvs. randomrandom: −0.5%
90%+942+2.3%+2.9 pts
85–89%16,951+1.2%+1.7 pts
80–84%79,918+0.7%+1.2 pts
75–79%183,293−0.2%+0.4 pts
below 75%3,616,694−0.4%+0.2 pts

How we tested this

How it works

Four steps, no guesswork.

1

Choose your question

Same engine, opposite directions:

  • DiscoverLooks forward from a moment in the past.
  • ValidateLooks backward from a company as it stands today.
2

Pick a company

Any US public company — then, depending on the question:

  • DiscoverPick a moment in its history, and we find the stocks that resemble it today.
  • ValidateLeave it as it stands, and we find the past moments that resembled it — and what each of them did over the following six months.
3

We compare it against the market

Fourteen fundamental and price metrics, each ranked against the companies of that same era — 4,515 candidates at one date, or every month back to 2016.

4

Inspect the evidence

Every match opens metric by metric, down to the filed figure and the filing date it came from.

No black box

See exactly why two stocks match.

Everyone else gives you a score. We show you the evidence: which metrics drove it, where the candidate diverges from the anchor, and a confidence grade reflecting how complete the underlying filing data actually is.

  • Metric-by-metric evidenceFundamentals and price-trend metrics, side by side — never a single opaque score.
  • Data-confidence gradingEvery match is graded on how much of its underlying data actually resolved — thin evidence is labeled, not hidden.
  • Honest gapsWhere a metric can’t be resolved, we show N/A — never an estimate dressed up as a fact.
MetricAAPL · anchorCDRE · candidateMatch
Revenue Growth−31.19%−24.18%89%
Revenue Acceleration−105.40%−28.86%84%
Gross Margin37.61%43.14%93%
Gross Margin Trend−0.38%−4.07%68%
Operating Margin23.12%10.42%88%
Net Margin19.93%7.11%86%
FCF Growth−62.32%−168.30%83%
ROE8.06%2.91%79%
12-Month Return7.47%−2.03%76%
6-Month Momentum Change41.96%−0.75%89%
200-Day Trend Slope−9.59%−19.51%97%
Distance from 52-Week High15.23%20.93%98%
Max Drawdown (1Y)38.73%29.96%78%
Annualized Volatility (1Y)31.04%39.48%97%
Discover · See it for yourself

Try a few famous ones.

Three real Discovery searches — a company at a moment in its past, and the stocks that most resemble it today. Each card shows that search’s top four matches, unedited and with losses included. The sector column is the point: these are companies a sector screen would never put next to each other.

AAPL · 2019-06-28
Searched 2025-06-30
Zero tech companies in the result
matchnext 6m
CDREIndustrials86%+31.6%
SPXCIndustrials86%+22.7%
HAYWIndustrials86%+14.4%
TSCOConsumer Cyclical86%-3.7%
ANET · 2020-06-30
Searched 2025-06-30
Networking to healthcare
matchnext 6m
EWHealthcare93%+11.2%
OTTRIndustrials91%+7.2%
QCOMTechnology90%+8.9%
VRTXHealthcare89%+3.3%
PLTR · 2023-01-01
Searched 2025-06-30
AI software turnaround
matchnext 6m
DIBSCommunication Services92%+118.5%
BODICommunication Services92%+141.3%
PDFSTechnology90%+39.2%
CLVTTechnology89%-21.2%
Read before you rely on it

What PeerStock is — and isn’t.

What it is

  • A research accelerator
  • A discovery engine for overlooked peers
  • A stress-test for the thesis you already have
  • A historical comparison tool, backed by evidence

What it isn’t

  • A buy recommendation
  • An AI prediction
  • A guarantee of future performance
  • A finished product

Built and backtested for 6–12 month pattern research. When a company’s filing data is incomplete, we show it — a low grade or an N/A, never a smoothed-over guess.

This is also an early MVP, not a finished product: anchor dates currently run from 2019 across 4,515 US-listed stocks. The limit isn’t price data — we hold far more — it’s how far back enough companies have resolvable fundamentals to rank a match against. We’re gauging interest before building out deeper history, more markets, and more depth.