Science-Backed Fundamental Analysis

Put a number on conviction.

Put a number on conviction.

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

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

Three traps that quietly destroy good investors' returns.

You do the work. You stay patient. But conviction built on story instead of evidence walks you into the same three traps. Not failures of discipline. Failures of information.

  • Buying the story

    You buy on the story. Months later it's still just a story — and you're already deep in the red.

  • Selling too early

    You cash out the safe double and wave goodbye to the 10-bagger.

  • Holding the trap

    You keep holding as it sinks, sure it will turn around. By the time you sell, the damage is far bigger than it had to be.

The Founder

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

MonkStreetA note from the founder

Dear investor,

After nearly 20 years of managing money, I kept running into the same issue. I could build a strong case for almost any stock I owned. The better I got at making the case, the harder it became to see when I was wrong. I'd start with some data, then I'd find the narrative that supported it, and before long I was convincing myself — and the people who trusted me — that this was a high-conviction idea. A lot of the time it was just me getting good at storytelling.

I didn't have a research team or an investment committee. It was mostly me in the room. And I realized how easy it is to talk yourself into something when there's no one to push back.

That's why I built MonkScore. I wanted a consistent way to score companies on five core fundamentals — the same process, every quarter, across thousands of stocks, without the story getting in the way.

I ran my worst loss through it after the fact. The quarter before it peaked, the stock scored a 1 out of 100. The numbers had been terrible for a while. I just didn't have a disciplined way to see it clearly once I'd fallen in love with the narrative.

So I tried to break it every way I could think of — out of sample, across other countries, and against every academic factor that might explain it away. It held up to all of it.

I still use my own judgment. I'm not trying to take that away. But I wanted something that could act as a check 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 years ago.

Warmly,

Alberto Echevarría

Founder, MonkStreet

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

    Amazon

    +450%5-year return

    A perfect 100 at the 2002 dot-com bottom. A perfect score while the market priced in bankruptcy.

  • NVIDIA

    NVIDIA

    +1,647%5-year return

    A perfect 100 in 2016. At its AI inflection, years before the crowd.

  • Monster Beverage

    Monster Beverage

    +7,038%5-year return

    A perfect 100 in 2002, held for 32 straight quarters.

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.

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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

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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.

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

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