kachichain
US stocks · historical analog analysis

The chart you're
watching —
how did it play
out before?

From 5 years of real data — delisted names included — we find the past setups most similar to your chart and show you what happened next, as a distribution. A record, not a prediction.

Delisted included Shape match % Wins & losses No predictions
Free tier — no card · real-time on Pro · not investment advice
kachichain — analog lookup (sample)
Why we're different

Everyone else's stats quietly drop the dead stocks.

Count only the survivors and win rates look inflated — that's survivorship bias. kachichain includes delisted names in the math, so the numbers stay honest.

Typical backtests · YouTube stats

Survivors only

  • Delisted & failed names missing from the stats
  • "This pattern hits 80% of the time" hype
  • Losing cases quietly hidden
  • Never tells you the sample size
kachichain

Dead stocks counted too

  • Full listing-to-delisting window (bias removed)
  • Winners and losers — the whole distribution
  • Win rate and reward/risk together
  • Flags "low confidence" on thin samples
5 yrs
US stocks, daily · delisting included
1·5·10d
forward distribution after each analog
0
predictions — we only show the record
How it works

We don't predict. We ask history.

Drop in a ticker; we match your chart's shape against 5 years of history and show the closest past cases and how they went — numerically, not by image recognition.

01 / MEASURE

Match by shape

Strip the price scale, normalize the chart's shape — a $3 and a $300 name match if the pattern's the same. z-normalize

02 / FIND

The closest past

Search 5 years, delisted included, for the windows most similar to now. analogs

03 / DISTRIBUTE

What came next

How those cases did 1/5/10 days later — losers included — as a distribution. win% · reward/risk

04 / HONEST

No hype

We don't predict. Thin sample or weak match, and we say confidence is low. past ≠ future

What you get

Charts by data, not by gut.

Analog matching

How similar is it

A shape-match % between your chart and past windows. The closest analogs, shown with ticker and date.

Delisted-inclusive data

Survivorship bias removed

5 years of US stocks including delisted names. The dead stocks others quietly drop are right here in the math.

Honest distribution

Wins and losses

The 1/5/10-day outcomes of similar cases as win rate, average, and reward/risk — the whole distribution, not the cherry-picks.

Measured pattern stats

Numbers, not gurus

Post-drop first green, high-volume breakout, RSI bounce… base rates measured on real history. Even "three white soldiers: 53% win" — nothing hidden.

Screener · alerts

Never miss the break

Surge→base→breakout scans to Discord / Telegram. Every signal ships with its historical analog stats.

Backtest

Verify offline

Run strategies on your own data for return, drawdown, win rate, and the full trade log — numbers you can argue with.

Pricing

The core is free. Pay only to skip the wait.

Free gives you analog lookups and measured stats on a 15-minute delay. Pro unlocks the real-time feed, unlimited tickers, and deeper analysis.

Free · 15-min delayed Pro · real-time
Free · hosted
$0 / forever
  • + Analog lookup — up to 5 tickers
  • + Measured pattern stats (delisted included)
  • + Data — 15-min delayed
  • + Discord / Telegram alerts
  • + Daily gainers & market brief
  • Real-time & unlimited tickers
Start free
Popular
Pro
$19 / month
  • + Everything in Free
  • + Data — real-time
  • + Unlimited ticker lookups
  • + Deep analog distribution & low-cap filter
  • + Hosted scans & alert delivery
  • + Priority support & updates
Go Pro →

Not investment advice. kachichain is educational data software. It does not recommend specific securities, does not manage money, and does not guarantee results. Every figure here is a record of the past, not a forecast — a similar past does not make a similar future. Free-feed data may carry bias, and backtests ignore slippage and spread — real fills are worse. All trading decisions and their outcomes are entirely your own. Markets carry risk of loss.