Science-Backed Fundamental Analysis

Put a number on conviction.

We score roughly 8,000 stocks on five fundamental pillars, so you get one number you can stand behind.

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  • ✓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 it held up out of sample.

The staircase below covers 25 years and two independent universes. One lucky decade can produce a chart like this. Twenty-five years and a second universe is a harder thing to fake.

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% a year after costs, against 30.3% gross. Costs eat less than a point and a half.

More than double

the average stock's return over 5 years

Positive 9 in 10 times

over 5 years, against roughly 7 in 10 for the average stock

~2.4× more likely

to land a 10-bagger: 2.9% against 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. These four tests are what separate a real signal from one fitted to its own history.

+24.8pp

Out of sample

We froze the architecture on 2015–2024, then ran it 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. It has 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

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 the factors academics use to explain returns (value, momentum, quality) and MonkScore still delivers +23–26% a year they can't account for. The ingredients are all known signals. The combination beats what any of them explains alone.

MonkScore™ takes 149 ratios drawn from the academic literature and scores each company point-in-time on five pillars: Growth, Profitability, Quality, Market Conviction, and Safety. The pillars combine by geometric mean. Scores are peer-relative, and a measurability gate refuses 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

    Amazon

    +450%5-year return

    A perfect 100 at the 2002 dot-com bottom. The market was pricing in bankruptcy at the time.

  • NVIDIA

    NVIDIA

    +1,647%5-year return

    A perfect 100 in 2016. Right at its AI inflection, before that was the obvious story.

  • Monster Beverage

    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 that are still in the data. These illustrate what a top score can look like; they are not evidence of a hit rate. Past performance doesn't guarantee future results.

How It Works

149 ratios in, one number out.

Three steps, and they're the same for every company.
  • 1

    Scored

    Every company gets a 0–100 MonkScore built from 149 fundamental ratios across five pillars, all computed point-in-time.

  • 2

    Ranked

    Then ranked against its actual peer group, so a Japanese bank is judged against Japanese banks and not against US software.

  • 3

    Yours to act on

    You see the score, the pillar breakdown, and where the company stands against its peers. The call is still yours.

See It Live

Try it on a company you already own.

Every name gets a score from 0 to 100, so you can tell in a few seconds whether it's worth an afternoon.

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The Velvet Rope

We aren't for everyone.

MonkScore can be a great tool if you're a disciplined, long-term, fundamental investor. For everyone else, it's probably a poor fit.

You run a repeatable process

You want every company measured against the same science-backed yardstick, so your conclusion rests on the numbers and not on how well the story was told.

You trust evidence over narrative

You look at the fundamentals and the score before you form a view, and you only 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. It won't tell you what's about to move next month.

You trade on price action

If five-minute charts drive your decisions more than the quality of the business, you won't get much out of this.

You want trades to copy

There's no model portfolio here to mirror. Building the conviction is still your job.

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 and we don't sell the next big thing. You get the analysis and the numbers behind it, and you decide what to do with them.

No conflict of interest

We aren't a hedge fund and nobody pays us to route you into a security. Subscriptions are our only revenue, which means accuracy is our only incentive.

No billing traps

One annual plan, and you can cancel it in a single click. There's no retention maze you have to fight.

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 Novy-Marx, Sloan, Fama-French, Piotroski, Asness-Frazzini-Pedersen, and many others. We combined their work; we didn't try to replace it.

Seven ways it could be wrong

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 say so up front, and we show that the bias runs conservative on the spread we report.

Read the methodology
Pricing

One plan. The whole signal.

You get MonkScore™ across the entire global universe: scoring, screening, and monitoring what you already hold. It's billed once a year, and one mistake avoided or one multibagger held onto can pay for the whole thing.

All access

MonkStreet Annual

For serious investors of any size, from individuals running their own research to RIAs and fund managers. What matters is that you make your own decisions and want better inputs for them.

$2,400/ year

 

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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 until you have a shortlist you can defend in a meeting.

  • Portfolio and watchlist monitoring: track score changes and thesis breaks across everything you hold or follow.

  • The five-pillar breakdown: see why a company scores the way it does, pillar by pillar, against its own 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 didn't have a way to see it 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 that would check it when my own thinking started sounding too convincing. A floor under the gut, not a cage around it. 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 keep an eye on what you already own.

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