What is TickerYou?

An AI investment advisor that shows its work.

Not a screener, which only filters lists of stocks. TickerYou explains what a business does, why its stock might rise or fall, how sure we are and for how long, and what would prove us wrong. It commits to a view and keeps the record, including the misses. Every source is linked, so you can check.

See the ideas How it works

Free to read, no account needed. An optional free account adds a private list and notifications.

One real idea, as it stands right nowNothing here is staged.

MUMicron Technology, Inc.WAIT FOR AN UPDATE

May rise over the next year. Open for the simple explanation.

What to watch next: Whether fiscal Q4 results and the first fiscal 2027 outlook confirm HBM demand, pricing and margins remain elevated. Then update the item listed below.
What would prove it wrong: DRAM and NAND contract prices roll over into sequential QoQ declines and Micron guides revenue and gross margin down sequentially, signaling the shortage is ending and peak earnings are behind it.

Open this idea and its sources

Reviewed Sep 2, 2026. The label and the score come from the same checks every page uses.

The label says whether every check passed, the score shows how six checks added up, and the last lines say what to watch and what would prove it wrong.

What it does

It answers the five questions a careful person asks about a stock, in this order, on every company page. The answer comes first. The sources, dates and exact calculations sit one tap deeper for anyone who wants to check the work.

See the five answers for MU

What is this company?
One plain paragraph on what the business sells and who pays for it, written for someone who has never heard of it.
How sure are we, and for how long?
A confidence score out of 100 beside the expected time period, always together. A view without a time frame cannot be checked, so we never show one alone.
What drives the stock?
Three things: whether the price looks cheap or expensive, which events are coming, and which way the price has been moving. Each is scored out of 10 by the same fixed checks, and reads “Needs information” when it cannot be established.
What would prove it wrong?
One specific fact or event that, if it happened, would end the idea. Not a generic list of risks.
So what do I do?
One of five answers, the same on every page: ready to consider, watching, wait for an update, still checking, or idea ended. With it, the level of risk in ordinary words and, when every check passed, an example size, small, medium or larger, set by that risk. It is one public research view, not advice about your money.

Why following stocks on your own is hard

Most stock information is either a raw document or someone’s opinion with nothing to check. Neither tells you how sure to be.

Reports are written for specialists: A company filing, the official report it must publish, can run to hundreds of pages of accounting language. The fact that matters may sit deep inside, and nothing tells you where.
A number with no reasoning: A rating or a price estimate arrives without the argument behind it. You cannot tell what it assumes, what would change it, or whether it went stale a month ago.
Nobody keeps score: Someone was confident in March. By June the post is gone and nobody graded it. Being right and being lucky look the same when nothing is written down.
No way to tell what changed: Between the times you look, results land, filings arrive and dates move. Catching up means re-reading everything, or missing the one thing that mattered.

Before and after

The same week, two ways. The difference is not speed; it is the order: the answer first, the sources one tap deeper.

Before · Open six tabs, three forums and a screener, then try to remember what you concluded last time.
After · Open one page that says what changed since your last visit, and how many checks ran and moved nothing.
Before · “Trust me.”
After · “Check the source. Here is the link and the date.”
Before · A score appears and you take it on trust.
After · Every score opens to show the six checks behind it.
Before · “Upgraded.” No reason given.
After · “Upgraded because…” with the new fact named and dated.
Before · Someone says “strong buy”, with no time frame.
After · Every view names its time period, its confidence score and the fact that would prove it wrong.
Before · Old calls vanish when they miss.
After · The starting price, every change and the graded result stay public, including misses.

What you get

Four things, each on its own page.

Ideas with a reason

Every idea shown has cleared an 8-of-10 bar for how strongly the research believes its case; the glossary calls that belief conviction, and it is separate from the computed 0–100 confidence score. Each carries its argument, its time frame and what would prove it wrong. Ready to consider means every check passed; if a check is missing, the page names which one instead of filling it in.

See the ideas

Research that stays current

Automatic freshness checks run midweek, and every idea is re-argued from scratch weekly, including whether it still deserves to exist. Downgrades are a normal result, not a failure. The Status page shows when the last scheduled review published.

Check whether the research is up to date

The next event, dated honestly

Company results, filings and other events that could change an idea, each labelled company-confirmed, estimated or not confirmed. An estimate is never dressed up as a date.

Open the calendar

The whole record, including misses

Every idea’s starting price, changes and outcome are graded in public. Nothing is deleted, and nothing is graded before its time frame ends.

Inspect the track record

What is in it today

Counted from the live research, refreshed at least every 15 minutes, and stamped with the day they describe. Nothing here is typed in by hand. Where a count is zero, it says zero.

Counted Sep 12, 2026

companies monitored: 32
open ideas above the 8-of-10 belief bar: 11
ready to consider, meaning every check passed: 0of 11
large investment managers whose quarterly filings are tracked: 16
scheduled research runs published in a row: 3
predictions graded against what happened · The first prediction’s time frame ends Oct 26, 2026. It will not be graded early.: 0of 5

A normal week with TickerYou

Three stops, in order. Each one answers a single question, and each page leads with the answer so you can stop when you have enough.

Start with what changed
The Today page opens with what changed since your last visit: which ideas moved and why, and how many checks ran and moved nothing. A quiet week says so instead of inventing news.
“What changed since I last looked?”
Open Today
Open one company
Five questions in order: what it is, how sure and for how long, what drives it, what would prove it wrong, and what to do. Sources and dates are one tap deeper.
“What do I actually think about this one?”
Browse the companies
Check the next event and the record
The calendar shows the next dated event and whether the company confirmed it. The track record shows how every idea has done so far, including the ones that went wrong.
“What is coming, and how has this held up?”
Open the calendar

How do I know it isn’t just confident-sounding?

Because confidence here is something you can check, not something you are asked to trust. Three rules, enforced in code rather than promised.

Sources you can open. Every claim links to where it came from. A company’s own filing counts for more than a news story, which counts for more than a post, and that weighting is fixed in code rather than decided case by case.
Uncertainty you can see. The AI is never asked for a number like 87. It makes six coarse judgements; the app adds them up with fixed, published weights, and every score opens to show all six. When a check is missing, the page shows a dash and says why, instead of guessing.
History you can inspect. When our belief in an idea moves, the page names the new evidence that moved it. If nothing moved, it says so rather than printing a new number. Every review asks what would lower our belief, not only what supports it.

Read how an idea is built

A few things worth knowing

Short answers. The full guide, the readiness labels and the glossary are on How it works.

Do I need an account?

No. Every idea, company page, source and past result is public; nothing is hidden behind sign-in. A free optional account adds a private My Stocks list and an in-app inbox for changes to the companies you save.

Does “ready to consider” mean buy?

No. It means every required check passed: fresh sources, a clear risk, a price estimate, a saved starting price, a current price and the next fact to check. What to do, the risk level and an example size are on the page. The decision is yours.

What does the score tell me?

How well the idea holds up across six checks, added up by the app with fixed weights. It expands to show each check. It helps compare ready ideas; it cannot make an unfinished idea ready, and it is not a probability of profit.

What if an idea is below the 8-of-10 bar?

It is explained but never pitched. You still see what the company does, what drives it, its risk level and what would break the idea. Price estimates and the case for buying are withheld until a later review makes it stronger.

Can the AI be wrong?

Yes. The AI makes coarse judgements; the app does the arithmetic and links the sources and dates so you can check both. When something cannot be established honestly, the page says so.

What happens when an idea is wrong?

It is graded, not deleted. The starting price is saved when the idea is published, every later change keeps its reason, and the outcome appears on the public track record beside the idea’s full history.

When exactly is the research updated?

A freshness check runs every Wednesday evening and a full review every Sunday morning, US Eastern time, by scheduled jobs. The Status page shows the last one that published and whether the research is current, overdue, failed or paused.

What it is not

TickerYou is not a place to buy shares, and it does not know your finances, so nothing here is advice about your money. Example sizes are relative bands, not instructions. AI-assisted research can be wrong; the sources and dates are there so you can check before you decide.

Start with one idea

Pick any idea and read it top to bottom: the reasons, the sources and what would prove it wrong. If the reasons hold up, come back when the next event lands. If they do not, the record will say so.

See the ideas

There is nothing to sign up for.

TickerYou provides general, independent stock research that is the same for everyone who reads it. It is not a broker, not a trading platform and not personal financial advice. Company reports can change, prices can be delayed, expected dates can move and AI-assisted research can be wrong. Check the sources and dates, then make your own decision. Past results do not predict future ones.

An AI investment advisor that shows its work.

Free to read, no account needed. An optional free account adds a private list and notifications.

How do I know it isn’t just confident-sounding?

Because confidence here is something you can check, not something you are asked to trust. Three rules, enforced in code rather than promised.

Sources you can open. Every claim links to where it came from. A company’s own filing counts for more than a news story, which counts for more than a post, and that weighting is fixed in code rather than decided case by case.

Uncertainty you can see. The AI is never asked for a number like 87. It makes six coarse judgements; the app adds them up with fixed, published weights, and every score opens to show all six. When a check is missing, the page shows a dash and says why, instead of guessing.

History you can inspect. When our belief in an idea moves, the page names the new evidence that moved it. If nothing moved, it says so rather than printing a new number. Every review asks what would lower our belief, not only what supports it.

Read how an idea is built

An AI investment advisor that shows its work.

What it does

What is this company?

How sure are we, and for how long?

What drives the stock?

What would prove it wrong?

So what do I do?

Why following stocks on your own is hard

Before and after

What you get

Ideas with a reason

Research that stays current

The next event, dated honestly

The whole record, including misses

What is in it today

A normal week with TickerYou

Start with what changed

Open one company

Check the next event and the record

How do I know it isn’t just confident-sounding?

A few things worth knowing

What it is not

Start with one idea

An AI investment advisor that shows its work.

What it does

What is this company?

How sure are we, and for how long?

What drives the stock?

What would prove it wrong?

So what do I do?

Why following stocks on your own is hard

Before and after

What you get

Ideas with a reason

Research that stays current

The next event, dated honestly

The whole record, including misses

What is in it today

A normal week with TickerYou

Start with what changed

Open one company

Check the next event and the record

How do I know it isn’t just confident-sounding?

A few things worth knowing

What it is not

Start with one idea