Disclaimer

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 stat is backed by real data. We tell you exactly where it comes from.
• 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.

MonkScore™ applies the same methodology to every company it covers, regardless of who views it. We do not collect information about your financial situation, investment objectives, or risk tolerance. 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 provides general investment research and quantitative analysis — a category of ancillary service under MiFID II (Annex I, Section B(5)) — not personalized investment advice. Our analysis is published to the general public and is not based on any assessment of any individual's personal situation.

Under US law: MonkStreet publishes bona fide, general, and impersonal financial analysis of regular and general circulation. Our content provides disinterested quantitative commentary. 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.

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.

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.

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.

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.

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.

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 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.

All information, analysis, scores, and content provided through MonkStreet are offered "as is" and "as available," without any warranty of any kind, whether express or implied, including but not limited to warranties of accuracy, completeness, merchantability, fitness for a particular purpose, or non-infringement.

To the fullest extent permitted by applicable law, MonkStreet and its team, officers, directors, employees, and affiliates disclaim any and all liability for damages or losses — whether direct, indirect, incidental, consequential, or otherwise — arising from or in connection with the use of, reliance on, or inability to use our services, content, or analysis. This includes, without limitation, any investment losses, trading losses, or opportunity costs.

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. This disclaimer is governed by the laws of Spain. 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. Any disputes arising from or in connection with the use of MonkStreet shall be subject to the exclusive jurisdiction of the courts of Madrid, Spain, without prejudice to applicable mandatory consumer protection provisions in the user's country of residence.