Systematic stock analysis

Build a portfolio of stocks the evidence can defend.

We score every US stock daily on the factors research keeps confirming — value, momentum, quality — and own the twenty highest by rule. Real money, every trade published. No tips, no price targets.

The problem

Tired of chasing stocks and feeling a step behind?

Every hot list, price target and urgent headline has a business model behind it. Brokers earn when you trade. Media earns when you watch. None of them earn more when you make money.

And the noise is accelerating: AI can now flood every feed with confident-sounding stock research, free and instantly.

Feeling lost in all of that is not a personal failing. But chasing whatever is loudest fills a portfolio with last year’s winners, bought near their highs.

The way out is knowing what actually moves stock prices. Once you can measure that, you no longer need the headlines.

The evidence

Fifty years of research keeps finding the same answers.

What separates winning stocks from losing ones is mostly measurable. Cheap stocks tend to beat expensive ones. Profitable businesses tend to stay profitable. Stocks already rising tend to keep rising. And when analysts raise their forecasts, prices usually follow.

Researchers call these factors. None of them are ours — value, momentum, quality and the rest have been tested in the open since the 1970s, and they are still standing. The factors, explained plainly

That matters. An edge invented last week is a theory. These have survived fifty years of people trying to prove them wrong.

The method

One score per stock, updated every day.

The model scores roughly 4,600 US-listed stocks on each factor, every trading day — 0 to 100, against the whole market — then combines them into one number. We call it the Ticker Nerd Rank.

No factor dominates. They are weighted close to even, because leaning hard on one is a guess about which will work next — the exact guess this method exists to avoid.

The testing is rigorous by design. Every rule ran against more than twenty years of market history on an institutional-grade backtesting platform, using only the information available at the time. Rules that only work in hindsight — or only in one kind of market — fail there, before they cost anyone money. The full methodology, tests and all

A rank tells you what the evidence says today. It does not tell you when to buy, when to sell, or how much to own. That part is the portfolio.

NVDANVIDIA Corp.As at 1 Aug 2026
80
Ticker Nerd Rank

Percentile, 0–100, against every US stock we score.

Quality98
Revisions97
Volatility79
Growth77
Value70
Issuance62
Momentum61
Accruals13
Size0

Free for every stock we cover. No account, no email.

The portfolio

The Ticker Nerd 20: twenty stocks, run by rules.

The portfolio holds twenty of the highest-scoring stocks at equal weight, bought and sold by rule. The rules review every holding every four weeks and trade only when the evidence forces it — a typical review changes a name or two, sometimes nothing.

It is one portfolio, with nothing held back for a higher price, and it is aggressive on purpose. Most of the twenty are smaller companies the S&P 500 barely holds, so it does not shadow the index fund most people already own.

Within the twenty, some stocks will lose money — the record below shows them plainly. The method wins, when it wins, on the average of the twenty: a few points a year over the market, compounded.

The rules sell a stock only when the reason for owning it is gone — never because its score slipped a point. And every trade is published, including the losers.

Members get a plain-English brief on every holding: what the company does, what the evidence says about it, and where we think the risk sits.

See the Ticker Nerd 20 →$39 a month or $199 a year · 30-day full refund
A look inside

The dashboard, in one minute.

What membership opens, recorded off the real thing.

Portfolio, brief, rank and record — the four screens membership opens. The current holdings are blurred; those names are what you are paying for.1 min · no sound · the real dashboard

Simulated before 20 July 2026, live since. Backtested figures are hypothetical and were not traded. The full basis

This week

Whose evidence changed this week.

The model re-scores every stock daily. These are the week’s biggest rank moves in either direction, each with the factor that drove it.

Rank moversSince 25 July 2026
Up
RAL
RALRalliant Corp.

Electronic Components · Reported profit is backed by cash, and the company is not expanding recklessly.

+59 · now 66
SHOO
SHOOSteven Madden Ltd.

Footwear & Accessories · The company has been paying debt down rather than borrowing more.

+51 · now 98
HRIHerc Holdings, Inc.

Rental & Leasing Services · The company has been paying debt down rather than borrowing more.

+42 · now 70
Down
NFG
NFGNational Fuel Gas Co.

Oil & Gas Integrated · The company has taken on more debt over the past year, measured against what it owns.

-28 · now 36
CTVA
CTVACorteva, Inc.

Agricultural Inputs · The company has taken on more debt over the past year, measured against what it owns.

-28 · now 65
CI
CIThe Cigna Group

Healthcare Plans · The company has been issuing shares, diluting existing holders.

-27 · now 53
Each note names the factor score that moved — computed from the data, not opined.

Every Monday, the Market Radar mails this table with the week’s news checked against each move — free.

The record

The results, year by year.

Every year since 2020, next to the average stock (the S&P 500 Equal Weight) and the S&P 500 itself. The down year is shown as plainly as the good ones.

  • Portfolio
  • Avg. stock
  • S&P 500
-20-100+10+20+30+402020202120222023202420252026
Why trust this

Anyone can generate stock research now. That's the problem.

AI will write a convincing bull case for any stock in seconds. Confident-sounding analysis is now cheap, endless, and close to worthless.

What can’t be generated: rules built over years on institutional-grade backtesting, a public record with the down year showing, and a named person with his own money on every position.

We use AI here too, openly. It drafts reports and runs the plumbing. It never picks a stock.

Who runs it

I run it, and my own money is in it.

Aslam Ghouse
Aslam GhouseEx-Goldman Sachs trader · 15 years in markets

I’m Aslam Ghouse — an ex-Goldman Sachs trader with fifteen years in markets, and a CFA charterholder since 2015.

For most of those years I would have told you to buy an index fund. For most people, I still say exactly that.

What changed my mind took years to find: every price is a forecast, and the return is in the gap between forecast and result. Factor investing is fifty years of evidence on where to look.

I took over Ticker Nerd in 2024 to run that evidence as one portfolio, in the open. More about me

The Monday email

The Market Radar lands every Monday, before the open.

Where the market went, what moved, whose rank changed, and one factor explained with the week’s best and worst scorer. No hot picks. Unsubscribe any time.

Free, every Monday. Unsubscribe any time.

Free and paid

The scores, the stock pages and the Monday email are free. Membership is the Ticker Nerd 20 — the portfolio, and the written case for every holding.

$39 a month or $199 a year · 30-day full refund, no questions.