Breakout research, read by AI

Every stock,
read four ways.

DataQuant screens about 3,300 US stocks every session. It grades the base each one is building, reads the latest earnings call, and checks who is buying and who is talking. Then it writes up what it found, in plain words.

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30 days free, then $49 a month. Cancel from the billing page.

ACME
Industrials · example reading
8/10breakout grade
Technicals
Grade S base, 16 weeks · RS 94
Fundamentals
Last call read bullish · guidance raised
Popularity
Tape 7 of 10 · 64% bullish on StockTwits
AI read
ACME closed 2.1% past its $48.20 pivot on 2.4x average volume. The base ran 16 weeks and tops out at the 52-week high. Management raised full-year guidance on the last call.
Illustrative example. Live readings are in the dashboard.
3,300US stocks screened each session
15 minbetween scans in market hours
97,789graded breakouts in the research set
1970sto today, across 5,484 symbols
The product

One stock, four readings, one page.

Most tools show a chart, or a balance sheet, or a feed of posts. DataQuant puts the base, the business and the crowd side by side, and has AI say what they add up to.

Technicals

The base, graded.

Each base gets S, A+ or A from its length, its depth and where it sits against the 52-week high. Relative strength ranks the stock 1 to 99 against everything else scanned. A breakout is scored 1 to 10 from the factors that measured as a lift.

PF 2.45for breakouts with RS 95 or higher, against 1.73 under 89.
Fundamentals

The earnings call, read.

A language model reads the latest call transcript and returns the tone from −1 to +1, which way guidance moved, the highlights and the risks management named. The Winners and Beat & Raise lists add growth and surprise history.

Every quarterfor each US stock on the screen.
Popularity

Who is buying, who is talking.

Heavy-volume days show institutions at work. The 13F register names the funds that hold the stock and how much that list changed. StockTwits and X show the crowd's mood, and the news feed shows what they are reacting to.

32%reached +20% at a tape score of 7 or more, against 11 to 13% at the bottom.
AI

Plain words on top.

Every reading comes with a short write-up of what the screen saw. Ask the screen a question in chat and it answers from the rows themselves. AI agents can connect through the MCP server.

dataquant.ai/mcpopen to any assistant or agent.
Live

Today's screen.

The market-health gauge and the graded bases that cleared their pivot in the last two sessions, straight from the screen.

Market health

—loading

Trend, distribution days and breadth, rolled into one score from 0 to 100.

Open Market Pulse →

Cleared the pivot

last two sessions
TickerGradeRSPast pivotVolume
Weekly receipts count every breakout the screen produced. Full readings in the dashboard →
How it works

From 3,300 names to the few worth reading.

01

Screen

Every US stock above $300M in market value and a liquidity floor, every 15 minutes in market hours and again after the close.

02

Grade

When a close clears a base's pivot, the base is graded and the breakout scored 1 to 10. The board starts at 7.

03

Read

AI reads the earnings call. The tape, the 13F register and the crowd go beside it, so the chart never stands alone.

04

Report

The dashboard, an email when a graded base clears, and weekly receipts that count every breakout, including the ones that fell through.

Research

Measured, not asserted.

Every rule on the screen was tested against decades of breakouts before it shipped. The notes are public, including the results that did not flatter the method.

Study

What should close a breakout?

26 sell rules over 97,789 graded breakouts, replayed through a slot-limited book.

Read the note → Method

The honest backtest

How the screen measures itself, the good month and the bad one, never annualized.

Read the note → Guide

Relative strength, explained

The 1 to 99 rank, computed per market, and why it ranks rather than triggers.

Read the guide → Guide

Reading a base X-ray

Pivot, depth, coil, volume dry-up and failed pokes, with worked examples.

Read the guide →

All guides and notes →

Pricing

One plan. Everything on the screen.

Thirty days free. Nothing is charged if you cancel before day 30.

Pro
$49/month

After a 30-day free trial. Card required, cancel any time.

Start a 30-day free trial →

Checkout and billing by Stripe

What is in it

  • The full screen: graded breakouts, handles, retests and extensions
  • AI earnings-call reads on every US stock
  • Tape score, 13F holders, social sentiment and news
  • Two-year base X-ray charts for any ticker
  • An email when a graded base clears its pivot
  • Ask the screen: chat over every row it wrote
  • US and India, sector strength, market health
Questions

Asked and answered.

What is DataQuant?

DataQuant is a stock screener for US and Indian markets. It grades the base each liquid stock is building, reads the latest earnings call with AI, and tracks institutional and social activity around each name. It reports what the screen saw. It does not recommend trades.

How does DataQuant grade a breakout?

When a stock closes above the pivot of its base, the base is graded S, A+ or A by its length, depth and distance from the 52-week high.

The breakout is then scored 1 to 10 from factors that measured as a lift across 97,789 historical breakouts: relative strength, base grade, institutional activity, and how far and on how much volume the close cleared the pivot. Past 5% extension it loses points. The dashboard shows 7 and above by default.

What does the AI read?

A language model reads the most recent earnings call transcript for each US stock on the screen. It returns a tone score from −1 to +1, the direction of guidance, two to four highlights in management's own words and one to three risk flags. Results are cached per quarter.

What does popularity mean here?

Who is buying and who is talking. It combines an institutional activity score from 0 to 10 built from heavy-volume up and down days, the named funds on the 13F register and how much that register turned over, social sentiment from StockTwits and X, and the latest news.

Which stocks are covered?

About 3,300 US stocks and ETFs on NASDAQ, NYSE and AMEX above $300 million in market value and a liquidity floor, plus Indian NSE stocks. The US screen runs every 15 minutes during market hours and again after the close.

Can AI assistants and agents use DataQuant?

Yes. The MCP server at dataquant.ai/mcp serves the market-health gauge, sector strength, the base X-ray for any stock and search over the research notes. A plain-text summary for language models is at /llms.txt.

How much does it cost?

A 30-day free trial, then $49 a month or $449 a year. Cancel any time from the billing portal; nothing is charged if you cancel before day 30.

Is this investment advice?

No. DataQuant publishes screen output for research and education. It is not a registered investment adviser or broker-dealer, and nothing on the site is a recommendation to buy or sell any security.

Read the market the way the screen does.

Technicals, fundamentals and popularity for every liquid US stock, with AI on top.

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