There is a secret that distinguishes those who obtain results on the financial markets from those who allow themselves to be carried away by the emotional waves of the moment: the ability to separate the narrative from the real data. Today we will see step by step how to identify the best investment opportunities, using an analytical approach based on fundamentals and exploiting the power of Forecaster.
To fully understand this strategy, we must start from a recent and emblematic case study: that of Google.
Google’s lesson: when the narrative lies
Table of Contents
- Google’s lesson: when the narrative lies
- What do the basic data teach us?
- How to replicate success: the step-by-step guide with the Forecaster
- Practical analysis: 4 titles under the lens
- When to run away: the underestimation trap (Mohawk Industries)
- Conclusions
- You can try the Forecaster and discover all its potential, AI included, free for 7 days by clicking HERE
In recent months, shares of Google’s parent company (Alphabet) have recorded an extraordinary performance, marking a +90% from the lows of April 2025 and drawing a parabolic curve. However, anyone who had blindly followed the news a year ago would probably have sold everything.
Remember what happened about three years ago, at the launch of ChatGPT? The dominant narrative on the web and social media was catastrophic for Mountain View: “Google will be wiped out”. We read everywhere that Large Language Models would make the traditional search engine obsolete. A plausible story, to be sure, given that we have all started using AI for our research.
The result? For an extended period, between 2023 and mid-2024, the stock remained flat or bearish. Pessimism had infected prices. Then, suddenly, everything changed. The market has “woken up”, realizing that:
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Google continued to make profits.
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It has become a key player in AI with Gemini.
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The recent launch of Gemini 3with proprietary microchips, threatens not only ChatGPT but even Nvidia‘s hegemony given that it works on chips from Google itself.
What do the basic data teach us?
While the world was screaming for the end of Google, what was happening Really in the company’s financial statements? Using the Fundamentals section of the Forecaster and analyzing the data RAW (rough), the reality was very different from the narrative:
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Growing turnover: Not only was Google making more money, but growth rates were accelerating.
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Exploding profits: The 5-year earnings growth rate went from 114% to 148%. At 10 years, from 422% to 512%.
Here is the key: if business results improve but the price drops due to fear, a gigantic buying opportunity is created. It is only a matter of time before the price realigns to the real value.
How to replicate success: the step-by-step guide with the Forecaster
How can we find the “new Google” before the price explodes? The procedure is simple but powerful, and is based on the analysis of visual data.
1. Use the “Best to Worst” Ranking
We don’t go hunting blindly. In the Rankings section of the Forecaster (for example on the S&P 500 index), we use the function Best to Worst. This algorithm takes an average of all the vital fundamental parameters (Fair Value, Z-Score, F-Score, M-Score, Value Generation) and returns the qualitatively best and potentially most undervalued companies at the top of the list.
2. Visual analysis of growth rates
Once we have identified an interesting title, we go to the section Raw of the fundamentals. This is where the magic happens thanks to the new graphic features:
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Let’s click on a budget item (e.g. Revenue o Net Income).
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Let’s activate i 5 and 10 year growth rates.
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We overlap the share price to the graph.
The goal is to look for one divergence: the price falls or stagnates, but the turnover bars and growth rates rise.
The key parameter: TTM (Trailing 12 Months) The TTM represents the sum of the last 4 quarters. It is the closest data to current reality. If the TTM growth rate is higher than the average of the last 5 years, it means that the company is doing well accelerating now, despite what the news says.
Practical analysis: 4 titles under the lens
Applying this method today, what do we find? Here are some concrete examples of how data belies market sentiment.
Lululemon: a giant on sale
We find Lululemon at the top of the ranking. The stock has fallen from its highs, but let’s look at the numbers:
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Sales: Constant growth.
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Acceleration: The 5-year growth rate went from 140% to 147% (TTM). In 10 years we went from 413% to 429%.
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Assessment: By eliminating unsuitable methods (such as Enterprise Value over Sales or DCF if too high), Fair Value models (Peter Lynch, Economic Value Added) tell us that the stock is extremely undervalued.
There is pessimism (tensions on duties, rising costs), but the company is selling more and more and growing faster than before.
Adobe: the fear of generative AI
Situation identical to that of Google. The narration says: “Sora and Canva will kill Adobe”. The title suffers. The data says:
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5-year revenue growth from 67% to80% (TTM).
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The company is beating expectations, and by our conservative calculations, it could be undervalued by 66%.
Novo Nordisk and Duolingo: strength in numbers
Even on these securities, which I personally keep in my portfolio, the logic is the same:
PayPal: signs of reversal?
PayPal has been punished severely by the market for years. Why? Because growth was slowing. Today, however, we see an interesting trend reversal:
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After years of decreasing rates, the TTM on turnover shows a recovery (from 48% to 53% about 5 years).
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The stock is at historic lows and highly undervalued.
But pay attention to quality: This is where it comes into play Qualitative Scorecard of the Forecaster. AI analysis warns us of some critical issues, such as high employee turnover and lack of “pricing power”. The financial numbers are good, but the business has structural challenges.
When to run away: the underestimation trap (Mohawk Industries)
Not everything cheap is a bargain. Let’s take it Mohawk Industrieswhich appears in the rankings.
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Business: carpets and floors (not exactly exciting).
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RAW data: Turnover it doesn’t growor rather it decreases. Growth rates are deteriorating.
Even if the stock seems “discounted”, the immobile engine of growth is missing. If the numbers get worse, the price is right to fall. In these cases, it’s best to stay away.
Conclusions
Investing successfully does not mean guessing the future, but reading the present coldly. You have tools like the Forecaster which allow you, in less than 20 seconds, to carry out analyzes that once took hours.
The golden rule always remains the same: Stock prices, in the long run, follow profits and turnover. Let others worry about the narrative of the moment. You watch the growth rates, watch the TTM, and if the fundamentals improve as the price falls, get ready to seize the opportunity.
You can try the Forecaster and discover all its potential, AI included, free for 7 days by clicking HERE
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