The stock market is an anticipatory mechanism. Future economic events/trends will almost always be reflected in stock markets before they appear in most popular media sources. In addition to the benefit of early discovery, most of the analysts’ research relating to future economic events/trends will be more incisive and comprehensive than any news that might be reported in most popular media sources.
For example, while most people are aware of the emergence of Artificial Intelligence, popular media sources have not covered a significant impediment to the growth of AI as comprehensively as Wall Street analysts. That impediment is “what source of energy will be plentiful enough to facilitate the growth of AI”? Unless there is a significant breakthrough in battery technology, the answer is not solar or wind, both of which only provide intermittent energy while AI Datacenters require a steady flow of energy. Right now, the most logical answer offered by analysts to that rhetorical question is small nuclear reactors.
In addition to the emergence of AI, there are other new technologies that will soon be testing our credibility regarding future economic events/trends. Those new technologies include quantum computing (QC) and Artificial General Intelligence (AGI).
AGI (Artificial General Intelligence) refers to an advanced form of artificial intelligence that can understand, learn, and apply knowledge across a wide range of tasks at a human—or even superhuman—level. Unlike today’s AI, which is narrow and specialized (e.g., language translation, image recognition, or stock trading), AGI would have flexible, general problem-solving abilities.
Some Wall Street analysts are suggesting that the impact of QC will be as large as – perhaps larger than – AI. In fact, QC will facilitate further advancements in AI.
Quantum computers contain bits (qubits) which can represent multiple states at once, letting quantum computers explore many possibilities simultaneously instead of one at a time. They can easily and quickly solve problems—like molecular simulation, large-scale optimization, or cryptography—that would take classical supercomputers months or years to solve.
Do Members have to be investors to gain benefits from Membership?
All of the above suggests that any thoughtful person can benefit from Membership in my website.
And, if Members are also investors . . .
Even if your investments are handled by an investment advisor, conversations between you and your advisor will be significantly enhanced – especially if your advisor is also a Member – through Membership in my website.
To demonstrate the efficacy of my skills in discovering stocks with extraordinary growth potential I launched the EGS Model Portfolio (Extraordinary Growth Stocks) in July 2018.
The reason for that concentration on Growth can be found in my mantra – above average percentage increases in quarterly revenue growth will almost always drive higher stock market values.
Have I been successful in our discovery efforts?
According to Business Insider, the top performing hedge fund in 2024 produced a return of 19.7% for its investors. Clearly, if the EGS Model Portfolio were a hedge fund, it’s 75.3% growth would have been a hugely dominant leader of ALL hedge funds.
In the 2023 Wall Street Journal’s Winner Circle ranking of 1,191 hedge funds, the average fund returned 19.7% in 2023 and the top three funds returned 65.2%, 59.1%, 57.2%, with the fourth returning 55.6%.
If the EGS Model Portfolio were a hedge fund, it’s 75.9% growth would have ranked #1 in the 2023 Wall Street Journal’s Winner Circle rankings.
To provide some perspective, let’s look at the quarterly performance of the above metrics since the first quarter of 2020 through to mid-year 2025.
The “dip” in the above chart reflects the impact of Covid 19.
Few individual investors have $2.5 million to replicate the performance of the EGS Model Portfolio going forward.
However, a portfolio is a collection of individual stocks (almost always limited to 25-stocks in the EGS Model Portfolil) and it is the collective performance of those individual stocks that generate the performance of a portfolio.
The following stocks did much of the “heavy lifting” for the EGS Model Portfolio. To be sure, there were negative individual stock performances, and they are included in the overall performance of the portfolio.
Whenever a stock is added to the EGS Model Portfolio, all the research supporting that addition is emailed to Members immediately. Therefore, Members will almost always be able to Buy that stock at a price close to the price at which it has been added to the portfolio.
Unlike most services that offer investment ideas for subscribers, I continuously scan the web for pertinent information relevant to the 25-stocks in the EGS Model Portfolio. Often that information involves Wall Street analysts’ Target Prices.
To illustrate that follow-up service, after I entered Nvidia as a selection for the EGS Model Portfolio, I discovered 29-relevant information sources that were shared with Members on the day of discovery. Most of these discoveries enabled Members to “stay-the-course” and maintain their Nvidia positions, thereby precluding the temptation to prematurely nail down profits.
In addition, every month I publish two reports that offer significant value to Members
EGS Monthly Performance – This report shows the performance – from date of entry to end-of-month – for every stock in the Portfolio. Members can compare the performance of stocks they own with all stocks in the Portfolio.
EGS Quarterly Revenue – This report lists the four most recent quarterly revenue growth percentages for each of the stocks in the Portfolio, including the most recent. This Report also compares management’s Projected Revenue Growth with the Actual Revenue Growth for their most recent Quarterly Report, thereby revealing management’s ability to Forecast. Most importantly, this Report also reveals management’s Forecast for their next quarterly report.
All of my reports are very valuable in helping Members to make both Buy and Sell decisions. For example, when an analyst lowers his/her rating or price target for a specific stock, that suggests that it might be time to sell. Also, if there is a significant decrease in quarterly revenue growth, that might also represent a signal to sell. Finally, if a specific stock is a laggard relative to all other stocks in the EGS Model Portfolio, it might be prudent for Members to consider an investment in one of the stocks that offer better profit opportunities.
You are invited to participate in a FREE one-month trial subscription. All I need is your email so you can be added to my Distribution List, featuring relevant research reports and any additions/deletions made to the EGS Model Portfolio. At the end of the one-month trial subscription, you will have the option of either becoming a subscribing Member – or not. If the latter, I will simply remove your name from my Distribution List – period. No need for credit/debit card entries – ever, unless, of course, you become a subscribing Member.
To participate in the FREE one-month trial subscription, just send me your email address at the following address:
paulchristi@gmail.com
The monthly Membership fee is just $30.
Note: We do not share your personal information with any other entity.
UV Metrics does not make recommendations or solicitations for the sale or purchase of any security – ever.
We are not licensed to do so and wouldn’t do it even if we were.
We share research to enable you to become more knowledgeable when making your own decisions.