What the Numbers Showed When NVIDIA Was $17
I watched NVIDIA go from $17 to $140.
From the sidelines.
The data was there in May 2022. Data centre revenue climbing. Margins holding. The AI infrastructure build just beginning. But the headlines were screaming crypto winter and gaming slowdowns. So I didn't buy.
The stock dropped further down to $11 by October. Most people would have panic-sold.
Then, a year later, May 2023: guidance came in 52% above consensus. The stock jumped 24% in a single day. CNBC ran wall-to-wall coverage. Analysts scrambled to upgrade.
In hindsight, the earliest fundamental improvements appeared around that period, long before the narrative changed.
By December 2024, the stock was trading around $140 — after the framework had highlighted early changes in the company's fundamentals nearly two years earlier.
I had the information. I just wasn't looking at the right thing.
⚠️ This is historical context only, not a result the system predicts or guarantees.
That miss cost me more than money.
It cost me the belief that I could ever catch these moves early. That maybe the game was rigged by institutions who see it first, position quietly, and by the time retail hears about it, we're buying their exit liquidity.
But here's what I've learned since:
The game isn't rigged. It's just that most people are looking at the wrong thing.
They're looking at price action. Analyst ratings. News cycles. They're looking at the scoreboard instead of the game.
The biggest moves I've studied didn't come from hot tips.
They didn't come from timing the market.
They didn't come from being smarter than Wall Street.
They came from recognising the inflection point — the moment the business fundamentally changed — before the market fully priced it in.
That's the pattern I kept seeing. That's what I wanted to track.
So I built a system to find them.
I track 6,000+ public companies. Every quarter, I look for the same patterns:
Historically, these patterns have preceded significant price moves. Not because the system predicts the future — it doesn't. But because fundamental shifts often show up in the data before they show up in the narrative.
⚠️ This is research, not a guarantee.
This quarter, 6 companies triggered the pattern.
Here are 2 of them for free.
AI-Powered Marketing · Detected May 2025 · $13-15
⚠️ Research rating reflects strength of fundamental pattern only — not a recommendation to buy or sell.
Zeta just crossed into sustained profitability after years of investing in growth. The stock collapsed 50% from Q3 highs on AI disruption fears. But while the market panicked, the business quietly hit record margins.
Their Athena AI agent — showing 25x usage growth in beta — launches commercially in Q1 2026.
The market is pricing this as an unprofitable growth story. It's now a profitable compounder. That's the inflection.
Revenue
26% YoY
17 consecutive quarters
EBITDA Margin
23.2% ▲ 320bps
Record high
FCF Margin
14.0% ▲
Up from 9.9% YoY
Wall Street still values Zeta like it's unprofitable. In prior market cycles, profitability inflections have sometimes been followed by multiple expansion though outcomes vary widely and past patterns may not repeat. 17 consecutive beat-and-raises suggest management credibility the Street hasn't fully recognised.
Currently trading at 11.6x estimated 2026 EBITDA, compared to 20-25x for comparable profitable SaaS companies. This gap may or may not close but it highlights how the market is currently pricing the business relative to peers.
⚠️ Valuation comparisons are descriptive only and do not imply that prices will adjust or converge.
This is one of the highest-scoring research cases this quarter. The other two are in the full report.
Creative Software · Detected September 2025 · $361-371
⚠️ Research rating reflects strength of fundamental pattern only — not a recommendation to buy or sell.
The market is pricing Adobe as if AI will destroy it. The opposite is happening.
Firefly AI generated $5B+ in AI-influenced ARR. Customers want AI inside Photoshop not instead of it. Meanwhile, the stock trades at decade-low multiples while Adobe executes 8% net shareholder yield through aggressive buybacks.
The narrative is fear. The fundamentals, however, remain historically strong.
Revenue
11% YoY
$5.99B quarterly · $19.7B ARR
Op Margin
35%
Stable · AI features accretive
FCF Yield
6.26%
138% FCF conversion
P/S collapsed from 18x (2021) to 6.4x today while revenue grew 50%+. This is narrative-driven fear, not fundamental deterioration. Professional workflows still require Adobe. AI makes those workflows more valuable, not obsolete.
Forward P/E of approximately 15x, compared to a historical range of 30-40x. This compression reflects narrative-driven concerns rather than fundamental deterioration though there's no guarantee multiples will revert.
⚠️ Valuation comparisons are descriptive only and do not imply that prices will adjust or converge.
The full report includes 4 more picks:
1 more Super Conviction · 1 High Conviction at 11x P/E · 2 Contrarian plays priced for failure
The pattern has shown consistency in hindsight.
Same methodology. Different quarters. Similar characteristics.
⚠️ These are historical observations, not predictions of future performance.
Detected May 2022 at $17 · Confirmed May 2023 at $31
Data centre reacceleration + margin resilience
$140+ by December 2024 (historical)
Detected August 2022 at $30
First sustained profitability in 14 years
Result: Tracking
Detected March 2023 at $7.60
EBITDA inflection from -$25M to +$10M
Result: $85+ by late 2024
These weren't random observations, they reflected similar fundamental patterns, visible only in retrospect. The meaningful changes appeared long before the mainstream narrative caught up.
The question was always: what were you looking at?
⚠️ Past performance is not indicative of future results.
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I'm Ola.
I'm a software engineer who got tired of being late.
I spent years watching inflection points in hindsight — Tesla's production scaling, Netflix's streaming dominance, Amazon's cloud infrastructure. The winners were always obvious after the fact.
So I built what I wished existed: a systematic way to identify these moments as they form. Not for day trading. Not for hype. For clarity.
I'm not offering financial advice. I'm not promising returns. I'm offering a structured, repeatable way to study how businesses change beneath the surface often before those changes become widely discussed.
That's what Scydar does.
That's what this report shows.
And that's what £5 gets you access to, permanently.