2,600+ US stocks screened every day · 3–6 flagged · Full memo on each

We hunt where sentiment
and data disagree.

"The market says a company is finished.
The data quietly disagrees."

Each morning, our engine scans the entire US market for the stocks the crowd has given up on — the ones where the fundamentals are quietly improving and smart money is moving in — and publishes what it finds automatically, with the full reasoning shown. No one filters the flags first: the curator reads them at the same moment you do. What he does next is the part worth watching.

Free during beta · No credit card required

Research, not advice. You always make your own call.
PLNTFlagged 1× in 6mo
Signal strength
Consumer Cyclical · Leisure
Sentiment
↘ Bearish
Fundamentals
↗ Improving
Smart money
↗ Accumulating

Divergence — bearish tape, strengthening internals. This disagreement is the asymmetric setup.

A consumer-cyclical name trading well off its highs while headline revenue and per-share earnings keep climbing — the kind of gap between price and fundamentals the screen is built to surface.

Illustrative exampleView full memo →

Most stock research is either hype with no rigor, or raw data with no judgment.

So we built a different kind of research desk — one that shows its work. Here's how a name travels from the whole US market to your morning brief — and what happens to it after.

STEP 01

Screen the whole market

A deterministic screen runs every morning, seven days a week, across 2,600+ US equities — filtered for size, liquidity, and tradability. No frozen list. Nothing slips through.

STEP 02

Score for asymmetry

Every survivor is scored on a four-pillar composite and classified on sentiment, fundamentals, and smart-money flow. You see the score, and the three signals behind it.

STEP 03

Publish

Three to six flags publish automatically, before you're awake. The engine doesn't ask permission — not the curator's, not anyone's. He reads them at the same moment you do.

After publication

Then the curator goes to work.

He researches each of those flags independently, escalates the ones that hold up to the Watchlist, and promotes the best of those to Curator's Highlights.

And then we measure whether his judgment was worth anything. →

The engine finds. The curator chooses. We publish both records.

The gap between them is the whole argument.

Every name we publish carries two clocks. The first starts the moment the engine flags it — that one measures the engine. The second starts only if the curator promotes that flag to Curator's Highlights — that one measures him. We publish both, side by side, because the first number alone can't tell you whether the human is worth having in the loop.

Since first flag
Measures the engine.

Performance tracked from the moment a name is flagged — automatically, before anyone has looked at it. This is the screen's record, and the curator has no hand in it.

vs SPY · n=Published at launch
Since added
Measures the human element.

Performance tracked from the moment the curator promotes a flag to Curator's Highlights. This is his record. He can only make it worse than the engine's — or better.

vs SPY · n=Published at launch

If since added trails since first flag, the curation is subtracting value — and you'll see that on the same screen, in the same table. We'd rather publish a number that can embarrass us than a claim that can't be checked.

Editorial curation, not a portfolio and not personalized advice. Both records publish with the number of selections behind them — a rate without its sample size isn't a result, it's a decoration.

What lands in your dashboard every morning.

Structured research, waiting for you every morning — quality over volume, seven days a week.

Daily flags

Asymmetric Opportunities

2–6 top-scoring setups from a market-wide scan, each with a full 8-section research memo — thesis, technicals, catalysts, risks — plus the signal stack and the divergence read behind it.

Watchlist

Intelligence Briefs

Focused updates on names already on the radar: what triggered the flag, a short summary, bull and bear context, and what to watch for next.

Signal strength

Every idea scored on a transparent, four-pillar composite.

Signal stack

Sentiment, fundamentals, and smart-money states at a glance.

Seven days a week

The market closes. The screen doesn't. Research is waiting every morning, not just weekdays.

Searchable history

A deep archive of past flags — look up any ticker, name, or keyword, any time.

Watchlist monitoring

The names you care about, watched for you between the daily briefs.

In your pocket

Installs to your home screen — your research desk, wherever you are.

Built for investors tired of being one step behind.

If you spend 1–3 hours a day scanning the markets and still feel like you're missing something — this gives you that time back.

Self-directed investors

Curated research with the reasoning shown — and zero extra scanning time.

Finance professionals & analysts

Eight-section memos and asymmetric setups in minutes instead of hours.

Finance creators & solopreneurs

Fresh, structured research to spark content ideas every day.

The AI-curious

A real look at how multi-agent AI research works, applied to the whole market.

Answered plainly.

Is this financial advice? +

No. Ticker Mavericks is an educational research publication of general circulation. Nothing here is a recommendation to buy or sell any security, or advice personalized to your situation. You always do your own research.

Do you touch my money? +

Never. We publish research — we don't manage money, take positions on your behalf, or connect to your brokerage.

How is this different from an AI stock screener? +

A screener hands you raw data and leaves you to it. Every flag here arrives with the reasoning already done — the memo, the signal stack, the divergence read. And then a person goes to work on it after publication, researching the flags independently and putting his name on the few worth watching, with the record published either way. A screener is a tool. This is a research desk.

What do I get each day? +

Three to six top-scoring asymmetric flags with full 8-section memos, plus watchlist briefs on names already on the radar — every morning, seven days a week. And nothing disappears: the History page holds a deep, searchable archive of past flags — look up any ticker, company name, or keyword and revisit the full record any time.

What's "the engine"? +

XvoroAI — our multi-agent research system. It screens the market, scores every survivor, and writes the memos. Then it publishes, on a fixed schedule, with no human in the loop. Nobody reviews a flag before you see it, and that is deliberate: it's what lets one desk cover the whole market, and it's why the curator's record can be measured against the engine's honestly. He reads the flags when you do.

Can the AI be wrong? +

Yes. The agents that write the memos can misread data or state things that simply aren't so. And the screen deliberately hunts companies the market has serious doubts about — sometimes the market is right. We publish the reasoning precisely so you can check it rather than take our word for it. Do your own research on every name.

What kind of stocks does the screen surface? +

Out-of-favor, dislocated names — often smaller companies, some of them low-priced. These are more volatile than the market, less liquid, and quicker to fall. That's not a bug in the screen; it's where mispricing tends to live. It also means the risk is real, and you should size accordingly.

What does it cost? +

Free during the beta. At launch it's $25/month or $240/year (two months free), with beta members grandfathered at a locked founding rate — on either plan — for as long as their membership stays active. Cancel any time from your account settings, and refunds are available on request within 30 days of the charge.

Who can subscribe? +

US residents only, for now.

Simple pricing. Start free.

No trial that quietly converts. No retention call if you leave. Full access, free, while we're in beta — no strings attached.

Free beta · now
$0

Full access during beta. No credit card. Your first daily brief is waiting the moment you sign in.

Start the free beta →
At launch
$25 / month
or $240 / year — 2 months free

Join during the free beta and you're a founding member — on either plan, for as long as your membership stays active, your price never goes up.

Become a founding member
  • Cancel any time from your account settings — no phone call, no retention conversation
  • Refunds on request within 30 days of the charge, no questions asked
  • Beta members keep their founding rate for as long as their membership stays active

You don't need a bigger research budget.
You need a research desk.

Ours runs every morning, seven days a week, whether or not anyone's watching.

Start the free beta →

Free beta access is open now · No credit card — sign in and your first brief is waiting