We believe you deserve to know exactly what MonkStreet is — and what it isn't. No fine print tricks. Here's the deal:
We show you the math. Every number comes from real data, and we tell you where it comes from. Most performance figures are hypothetical backtests; see "Past performance does not guarantee future results" below.
Scores are observations, not recommendations. A high MonkScore™ means "strong fundamentals next to its peers." It does not mean "buy this stock."
Same model, every company, every user. We never tailor scores to individuals. The analysis is general and impersonal — by design.
We eat our own cooking. We invest too. To stay objective, we never manually adjust scores.
02
How MonkStreet is structured — and why it matters
What MonkStreet gives you. Access to software tools that analyze companies' financial data and quantitative ratios, which MonkStreet gathers and computes automatically. The tools produce general numerical scores, based strictly on historical financial statements and other public information about each company. MonkStreet is not an investment firm (in Spain, an empresa de servicios de inversión). We don't build a profile of you or assess whether an investment suits you, and we don't give personal recommendations to buy, sell or hold any financial instrument. Every investment decision is yours alone: do your own additional research and weigh your own financial situation before you trade. Past returns don't guarantee future returns.
MonkScore™ applies the same methodology to every company it covers, regardless of who views it. We don't ask about your income, wealth, investment objectives or risk tolerance, and no score uses anything we know about you. If you add holdings to a portfolio, we keep which companies you hold, but not how many shares you have or what you paid; our Privacy Policy lists everything we keep. You see the same scores everyone else sees, and nothing on MonkStreet assesses whether a stock suits you. We do not tailor our scores, rankings, or analysis to any individual user. No score is ever adjusted based on who is looking at it. This isn't just a disclaimer. It's how the platform is built.
Because our analysis is general and impersonal — not adapted to your personal circumstances — it does not constitute investment advice, a personalized recommendation, or a solicitation to buy, sell, or hold any financial instrument.
Under EU law (MiFID II): Investment advice means providing personal recommendations tailored to an individual's circumstances (Article 4(1)(4), Directive 2014/65/EU). MonkStreet publishes general research and quantitative analysis to the public, not personal recommendations. Under Article 9 of Commission Delegated Regulation (EU) 2017/565, a recommendation that is issued exclusively to the public is not a personal recommendation. MonkStreet is not an investment firm authorised under MiFID II. Our analysis is published to the general public and is not based on any assessment of any individual's personal situation.
Under US law: We consider MonkStreet a publisher, not an investment adviser. We rely on the exclusion in Section 202(a)(11)(D) of the Investment Advisers Act of 1940 for publishers of bona fide financial publications of general and regular circulation, as the Supreme Court read it in Lowe v. SEC (1985). Our content is impersonal: a score, list or analysis is the same for every user who can see it, and none is adapted to the reader. Scores are updated daily and our lists are chosen once a quarter, on a fixed schedule, not timed to market events. It is not promotional: no company pays us to score or rank it, and we disclose our own conflicts below. Our team can explain how MonkStreet works, but we don't tell anyone, by email, phone, chat or in any call or session, whether a particular investment suits them. We do not manage funds, execute trades, or provide advice adapted to the investment needs of individual subscribers.
We are not registered with, nor regulated by, the U.S. Securities and Exchange Commission (SEC), the Financial Industry Regulatory Authority (FINRA), the Spanish Comisión Nacional del Mercado de Valores (CNMV), or any other securities regulator. If you need advice tailored to your individual circumstances, we recommend consulting a licensed financial advisor who is legally obligated to consider your personal situation.
03
What MonkScore™ measures — and what it doesn't
MonkScore™ measures how strong a company's current fundamentals are next to its peers, on five pillars at the same time. That's it. It describes the company's fundamentals today. It does not predict future performance, and it does not constitute a recommendation for any action regarding any security.
There are things no algorithm can capture — management quality, regulatory shifts, geopolitical events, competitive disruption, or a CEO's surprise resignation. Sometimes the data simply isn't enough. MonkScore is a starting point for your own research, not the finish line.
Any investment in financial markets is subject to risks, including high volatility, the absence of profitability, and partial or total loss of the principal invested. Run away from anyone telling you otherwise.
04
Past performance does not guarantee future results
Apart from the results on our Track Record page (see "Track Record" below), all performance statistics referenced on MonkStreet are based on historical backtesting of MonkScore™ V3.10.0. These are hypothetical performance results prepared with the benefit of hindsight. They show what would have happened, not what will happen.
The validation dataset: 365,193 company-quarters from 12,105 US companies above our size floor, 1999 to 2025, drawn from institutional-grade, point-in-time market data and including every delisted and bankrupt company. Formation dates run quarterly from March 1999 through December 2025.
Headline figures: The $10,000 → about $213,000 figure cited on our homepage is the growth of a hypothetical investment in the 90+ stocks (every stock scored 90 or above, held in equal amounts and rebuilt every quarter) over the 27-year backtest, equivalent to a compound annual growth rate of approximately 12.0% before costs. Over the same period the equal-weight average stock compounded at approximately 8.5% per year ($10,000 → about $91,000) and the S&P 500 total-return index at approximately 8.2% per year ($10,000 → about $83,000), dividends reinvested.
Statistical significance: Our main test asks whether the 90+ stocks returned more than the stocks they are chosen from, after adjusting for their lower risk (a regression of quarterly returns on the average stock, with Newey-West errors). The t-statistic is 4.1. Research that tries many specifications needs a higher bar than research that tries one, and over the years we have built and tested many versions of the model. For that many, the standard in our field is a t-statistic of about 3, and this test clears it. That is still not proof of a discovery, which is why we publish a forward, sealed track record: only data that did not exist when the model was built can settle the question. After controlling for the six standard academic factors, +1.9 percentage points per year remain unexplained (t = 2.3), before costs. Part of the lead over the average stock is not stock-picking, and we would rather name it than have you find it: the average-stock benchmark includes roughly 660 companies a quarter that our score cannot rank at all. Compared only with companies we can actually score, the part of the edge that comes from picking companies is about 2.1 points a year. We hold every position in equal size; weighted by market value instead, the same companies return about 10.8% a year instead of 12.0%.
The record is not smooth. The record includes multi-year stretches of weak results. From January 2022 to March 2026 the portfolio gained 25%, ahead of the 17% of the average stock. The S&P 500 gained 46% over the same months, carried by its largest companies: from 2022 to 2025 it beat its own equal-weighted version by 5.2 points a year. Its worst peak-to-trough drawdown was approximately −43% (average stock: −49%; S&P 500: −46% over the same period), measured quarter-end to quarter-end and therefore shallower than a day-by-day figure. In calendar 2008 it fell 36.3%, and in calendar 2022 it fell 22.2%: it gave investors little or no shelter in either year.
Survivorship bias does not apply to these figures. The dataset includes delisted and bankrupt companies. Earlier versions of our published statistics were computed on survivors-only data; those figures have been retired and the correction published.
US stocks only. Every performance figure on this site is for US stocks.
Track Record. Since October 2026, our Track Record page reports, each quarter, how a list of every US stock worth $300M or more with a MonkScore of 90 or more performed. We seal each list before the market opens on the first day of the quarter (or, if we seal it late, before the open at which its portfolio starts), and publish its result when the quarter ends. These are paper portfolios: no money is invested. Returns are equal-weighted averages before trading costs and taxes, and interim figures are not final. They are compared with a different benchmark from the backtest's: the S&P 500 equal-weight index, including dividends. The lists' returns include dividends too: we measure them with prices adjusted for dividends. A few quarters prove little. Past results do not guarantee future results.
Score-specific statistics shown in the product (hit rates and return ranges by score) are calculated from the same delisting-inclusive dataset, for single companies rather than portfolios, restricted to quarters where the relevant forward-return window is fully observable; the figure on our free tool pages is the exception: the average ten-year gain, in the backtest, of the US companies in one 10-point score group, held in equal amounts and rebuilt every quarter (hypothetical, before costs).
Both benchmarks, the average stock and the S&P 500 total-return index, include dividends.
Costs. Figures are before trading costs. At 0.20% a trade, 12.0% becomes 11.5%. Taxes and fees would reduce returns further.
These hypothetical results cannot completely account for the impact of financial risk in actual trading, including the ability to withstand losses, liquidity constraints, slippage, and the behavioral challenges of following a systematic strategy through drawdowns. Different investors may experience materially different results.
05
We try to get the numbers right
Our information and analysis are based on sources and methods we believe to be reliable, but they may contain errors or omissions and we cannot warrant or guarantee their accuracy, completeness, timeliness, or reliability.
For that reason, you should verify any information before acting. Do not use our service, or any other for that matter, as the sole basis for your investment decisions.
AI-generated content. Deep dives and earnings-call summaries are written by AI models from public information about each company. AI can be wrong, incomplete or out of date, even when it sounds sure. We label them as AI-generated wherever they appear, including in emails and in files you export. Like the scores, they are general research, not advice about your situation.
06
We invest too — here's how we stay objective
The methodology applies equally to every company — including the ones we own. No score on MonkStreet has ever been influenced by our personal holdings. We believe that making manual adjustments would compromise the objectivity and accuracy of our analysis. We also follow a written personal-trading rule: no one who works on MonkStreet trades on a score, ranking or change before we publish it, or trades against what we publish to profit from our users.
We occasionally publish qualitative analyses on MonkStreet, social media, and other platforms. Despite our best efforts for objectivity, qualitative analysis is inherently subject to unconscious biases. These biases can involuntarily influence how we interpret and evaluate information, and lead us to draw inaccurate or incomplete conclusions. We try to minimize these biases by following a structured process, using critical thinking, and seeking out different perspectives and sources. As with any opinion, please read them critically.
07
Who makes the scores and our interests
What follows applies to the MonkScore™, its five pillar scores, its score bands, our rankings and our sealed quarterly lists, everywhere they appear on MonkStreet. None of them is a recommendation to buy, sell or hold any stock.
Who produces them. MonkStreet (see "Who we are" in our Legal Notice). The person responsible for them is Alberto Echevarría, founder, responsible for the MonkScore™ model. MonkStreet is not an investment firm or a credit institution, and no financial regulator authorizes or supervises it.
How they're made. Every score comes from one proprietary quantitative model, applied the same way to every company we score. Our Methodology page explains the method, its inputs and its main assumptions. The model uses historical financial statements and other public information about each company, from third-party data providers. A score is an estimate based on past data, not a fact about the future. Next to every score and ranking, "How this score is made" links to the Methodology page and "Disclaimer" links to this Disclaimer.
Risk. Any stock, whatever its score, can lose money, including all of it. Past performance does not guarantee future results (see above).
Updates. Scores are recalculated daily from the latest data. Each sealed quarterly list is chosen once a quarter, before its portfolio starts, and never changed.
Our interests. No company we score pays us to score, rank or list it. The people behind MonkStreet may hold shares in companies we score (see "We invest too" above). Every company is scored by the same model, and we never adjust a score by hand.
08
You're the captain of your portfolio
All information, analysis, scores, and content provided through MonkStreet are offered as they are and as available. We don't promise that they are complete, error-free or fit for any particular investment purpose. If you're a consumer, this doesn't affect your legal guarantee for the paid service (see "Service availability" in our Terms).
Our liability to you is set out in "Limitation of liability" in our Terms of Service, including that we are not liable for investment losses, trading losses or missed gains from decisions you make using our scores, content or analysis: those decisions are yours. This disclaimer does not add to that clause, and nothing in it limits liability that the law does not allow us to limit, or removes rights you have by law as a consumer.
You acknowledge and agree that any investment decisions are made solely at your own risk and discretion. Nothing on MonkStreet creates a fiduciary, advisory, or any other professional relationship between MonkStreet and any user.
Do your own research, use multiple sources, and consider your personal situation before making any investment decision. Never invest money you can't afford to lose. And if something feels too good to be true, it probably is — even if it scores 100.
MonkStreet is not a registered investment advisor, broker-dealer, or financial planner under the laws of any jurisdiction. MonkStreet does not provide investment advice as defined under MiFID II (Directive 2014/65/EU) or the U.S. Investment Advisers Act of 1940. MonkScore™ is a proprietary quantitative scoring system. All rights reserved. For the avoidance of doubt, nothing on this platform or in this disclaimer creates a fiduciary, advisory, or professional-client relationship between MonkStreet and any user. Disputes arising from or in connection with the use of MonkStreet are governed by the section "Disputes and applicable law" of our Terms. If you're a consumer in the EU, the EEA or the UK, you can always go to the courts where you live.