Science-Backed Fundamental Analysis

Put a number on conviction.

Five pillars. 8,000 stocks. One score you can stand behind.

Full access. No credit card required.

✓2× average return over 5 years
✓Beat the average 90% of quarters
✓Held through every crisis

The Evidence

One score separated winners from losers for 25 years — and held up out of sample.

The staircase below isn't a curve fit to one lucky decade. It's what disciplined scoring looked like across 25 years and two independent universes.

Annualized return by MonkScore decile · full global universe · 2000–2026

30.3%

22.1%

19.0%

16.8%

15.1%

13.8%

11.3%

8.6%

7.2%

2.3%

100–90

90–80

80–70

70–60

60–50

50–40

40–30

30–20

20–10

10–0

The implementable, long-only top decile nets roughly 29% per year after costs against a 30.3% gross — the cost drag is under a point and a half.

More than double

the average stock's return over 5 years

Positive 9 in 10 times

over 5 years — vs ~7 in 10 average

~2.4× more likely

to land a 10-bagger — 2.9% vs 1.2%

Based on historical backtesting of survivors-only data; delisted companies are excluded, which inflates absolute returns. Benchmark is the equal-weight investable universe, not a published index. Past performance does not guarantee future results.

Stress-Tested

Four tests a backtest can't fake.

A rising line proves nothing on its own. Here are the four tests that separate a real signal from one fit to its own history.

+24.8pp

Out of sample

The architecture was frozen on 2015–2024, then run on the 2000–2014 history it had never seen. The gap held at +24.8pp (t = 9.4), with the same 90.5% hit rate. And it's kept working on the live quarters since.

t = 13.6

Monotone, 105 quarters

Every one of the ten score ranges beats the one below it. The highest beat the equal-weight universe in 90.5% of quarters.

+33.3pp

Holds worldwide

Re-run on the global ex-North-America universe, the staircase steepens to +33.3pp (t = 16.0) and stays monotone across all ten score ranges.

+23–26% a year

Not a known factor in disguise

Strip out every factor academics use to explain returns — value, momentum, quality — and MonkScore still delivers +23–26% a year they can't account for. Built from known signals, but it adds up to an edge none of them explains alone.

MonkScore^™ scores each company point-in-time on five pillars (Growth, Profitability, Quality, Market Conviction, and Safety), combined by geometric mean, from 149 ratios grounded in the academic literature. Scores are peer-relative, and a measurability gate declines to score what it can't measure.

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Called Early

The score flagged them at 100 — before the crowd did.

Three companies the score rated a perfect 100 well before the market agreed — and the five years that followed.

Amazon
+450%5-year return
A perfect 100 at the 2002 dot-com bottom. A perfect score while the market priced in bankruptcy.
NVIDIA
+1,647%5-year return
A perfect 100 in 2016. At its AI inflection, years before the crowd.
Monster Beverage
+7,038%5-year return
A perfect 100 in 2002, one of 32 separate quarters it scored 100.

We can only point to companies still in the data — these illustrate what a top score can look like, they don't prove a hit rate. Past performance doesn't guarantee future results.

How It Works

From 149 ratios to one number you can act on.

Three steps. The same for every company.

1
Scored
Every company gets a 0–100 MonkScore from 149 fundamental ratios across five pillars, computed point-in-time.
2
Ranked
Scored against its true peer group, so a Japanese bank is judged against Japanese banks, not US software.
3
Yours to act on
You see the score, the five-pillar breakdown, and exactly where it stands — then make the call.

See It Live

Run your next idea through it.

Every name scored 0–100 — high conviction to hard pass.

Score any stockFree for 15 days

Full access. No credit card required.

The Velvet Rope

We aren't for everyone.

MonkScore fits a disciplined, evidence-based process. It is a poor fit for anything else.

You run a repeatable process

You want the same evidence-based read on every company, applied the same way each time, not a new story for each position.

You trust evidence over narrative

You want to see the fundamentals and the score before you form a view, and you act on what holds up out of sample.

You generate your own ideas

You want a professional-grade screen to surface and rank your own candidates faster, not a guru handing you picks.

You want quick, speculative gains

MonkScore is built for multi-year compounding, not for turning a small stake into a large one by next quarter.

You trade on price action

If five-minute charts drive your decisions and business quality doesn't, this is the wrong tool.

You want trades to copy

We don't publish a model portfolio to mirror. The work of building conviction is still yours.

Our Manifesto

We work for you. No one else.

Many investing apps make money by pushing specific stocks. We don't. The model is simple: you pay for the research, and we provide it. No hidden agendas.

No hype, no tips

We don't employ gurus or sell the next big thing. We provide evidence-based analysis so your decisions rest on data, not narrative.

No conflict of interest

We aren't a hedge fund, and we aren't paid to route you into any security. Your subscription is our only revenue, so our only incentive is accuracy.

No billing traps

One annual plan, cancel anytime in a click. No retention mazes, no auto-renew tricks, no questions asked.

The Research

We published the method, the results, and the limits.

MonkScore^™ is documented in a research whitepaper: how it is built, how it was tested out of sample and against the academic factor zoo, and the one limitation the data cannot overcome. No black box.

Built on the literature

Five pillars drawn from the work of Novy-Marx, Sloan, Fama-French, Piotroski, and Asness-Frazzini-Pedersen, combined rather than reinvented.

Tested adversarially

We list the seven ways the signal could be a known factor in disguise, then show it survives all seven on two independent universes.

Honest about survivorship

The backtest is survivors-only. We state it plainly, bound it, and show the bias runs conservative on the spread we report.

Read the methodology

Pricing

One plan. The whole signal.

Full access to MonkScore^™ across the global universe: scoring, screening, and monitoring. One annual plan, priced for a professional research process.

All access

MonkStreet Annual

For RIAs, fund managers, and serious self-directed investors who run a disciplined, evidence-based process.

$2,400/ year

Score any stockFree for 15 days

No credit card required. Cancel anytime.

Everything is included:

The full global universe: a point-in-time MonkScore^™ on roughly 8,000 companies across developed and emerging markets.
Unlimited screening and ranking: filter and sort the universe on any pillar to build a defensible shortlist of your own ideas.
Portfolio and watchlist monitoring: track score changes and thesis breaks across everything you hold or follow.
The five-pillar breakdown: see exactly why a company scores the way it does, computed point-in-time on its peer group.

The Founder

I could always make the case. That was the problem.

MonkStreetA note from the founder

Dear investor,

I spent nearly 20 years investing my own money, and helping people close to me do the same. I could build a strong case for almost any stock I owned. The better I got at making that case, the harder it became to see when I was wrong. I'd start with the data, then find the story that fit it, and before long I'd talked myself, and the people who trusted me, into calling it conviction. A lot of the time it was just storytelling.

I had no research team and no investment committee. It was mostly me in the room, with no one to push back.

So I built MonkScore. Five core fundamentals, scored the same way every quarter, across thousands of stocks, with the story left out.

I ran my worst loss through it afterward. The quarter before that stock peaked, it scored 1 out of 100. The numbers had been bad for a long time. I just had no disciplined way to see that once I'd fallen for the story.

Then I tried to break it. Out of sample, in other countries, against every academic factor that might explain it away. It held.

I still use my own judgment. I wanted something to check it when my own thinking started sounding too convincing. Gut needs a floor, not a cage, and this is the floor I wish I'd had.

Warmly,

Alberto Echevarría

Founder, MonkStreet

Run your next idea through it.

Score any company, screen the global universe, and monitor what you hold.

Score any stockFree for 15 days

Full access. No credit card required.

FAQ

Frequently Asked Questions

Questions? We're here to help.

Fair question — most backtests are. So we built MonkScore to fail the usual ways a fragile one does, and it didn't. The architecture was frozen on 2015–2024, then run on the 2000–2014 history it had never seen: the top-to-bottom gap held at +24.8pp (t = 9.4). Strip out every factor academics use to explain returns — value, momentum, quality — and +23–26% a year is still left unexplained, on two separate universes. And since we froze it, the live quarters have kept working. None of that makes it certain to repeat. It does make it something other than a curve fit to its own history.
No. MonkScore is a research signal, not a recommendation. It scores a company's fundamentals against its peers; it doesn't know your goals, your portfolio, or your risk tolerance, and it never says "buy this." Treat it as one rigorous input to your own decision, not a substitute for it. For advisors and professionals: it's impersonal research you can point to, not personalized advice you're delegating — the call, and the responsibility, stay yours. (This isn't legal advice; if you're regulated, run it past your own compliance.) For everyone else: the conviction is still yours to build — we just put a number on the fundamentals so you're building it on evidence.
One plan, everything in it: a point-in-time MonkScore on roughly 8,000 companies, unlimited screening across the global universe, the five-pillar breakdown on every name, and portfolio monitoring for score changes and thesis breaks. It's $2,400 a year — one annual plan, no monthly tier, no stripped-down free version. The cheaper way in is the 15-day full-access trial: the entire product, no credit card, so you can verify it on your own holdings before you pay a cent. One value trap avoided tends to cover the year.
Probably. The universe is roughly 8,000 companies across developed and emerging markets — not a US-only list with a global label. Every name is scored point-in-time and ranked against its regional peer group, so a Japanese bank is judged against Japanese banks, not US software. If a company is big enough (>$300M market cap) and has enough reporting history to be scored honestly, it's in; the measurability gate declines to score the ones that don't, rather than guess. Look up anything on the trial and see.
You see more than the number. Every score opens into its five pillars — Growth, Profitability, Quality, Market Conviction, Safety — and exactly where the company ranks against its peers, so you can see what's driving it. The full methodology is published in a research whitepaper: how it's built, how it was tested, and the one limitation the data can't overcome. What we don't publish is the recipe — the 149 individual ratios and their weights. We'd rather be honest that there's a proprietary core than pretend there isn't. Everything you need to judge a score, you can see; everything you'd need to clone it, you can't.
Three ways, mostly. Look up any stock before you buy — a high MonkScore says the fundamentals back the case, a low one says ask harder questions. Screen the whole universe to surface and rank your own candidates: most screeners make you pick metrics and filter by hand, while MonkScore does the opposite, scoring every company so you sort on a finished read instead of building one. And run your existing holdings through it once a quarter — about fifteen minutes — to catch score changes and thesis breaks before they cost you. It's a discipline layer on top of your judgment, not a replacement for it.
No. MonkStreet is a research and data platform. We give you the analysis to make better-informed decisions; we don't tell you what to buy or sell, and nothing on the platform is personalized investment advice. Past performance doesn't guarantee future results, and all investing involves risk.

SEE ALL FAQs

Put a number on conviction.

One score separated winners from losers for 25 years — and held up out of sample.

More than double

Positive 9 in 10 times

~2.4× more likely

Four tests a backtest can't fake.

+24.8pp

t = 13.6

+33.3pp

+23–26% a year

The score flagged them at 100 — before the crowd did.

From 149 ratios to one number you can act on.

Scored

Ranked

Yours to act on

Run your next idea through it.

We aren't for everyone.

You run a repeatable process

You trust evidence over narrative

You generate your own ideas

You want quick, speculative gains

You trade on price action

You want trades to copy

We work for you. No one else.

No hype, no tips

No conflict of interest

No billing traps

We published the method, the results, and the limits.

Built on the literature

Tested adversarially

Honest about survivorship

One plan. The whole signal.

MonkStreet Annual

I could always make the case. That was the problem.

Run your next idea through it.

Frequently Asked Questions