Just a guy who built a stock scoring model, trading the best growth setups. Real positions, charts, and the misses. Not advice.

Joined May 2020
2 Photos and videos
Pinned Tweet
Jun 3
Always wanted to dig into growth stocks and run it like a real process, between a full-time job and everything else, I never had the time. So I finally built it.
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Jun 8
Out of ~3,000 stocks I screen, these score a perfect 15, my model's top score: fast growth, cheap for that growth, a fresh earnings beat. The model's sector-blind, so I don't own all of them. $SEZL * $VRT $NXST $TSEM $CLFD $CVNA * = I'm long. Not advice.
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Jun 7
$RDDT deep dive. Credit to @JonahLupton for putting this on my radar. Then it popped up on my scanner at 14.5/15. Why I'm long: in a world that just went majority-bot, Reddit owns the best stash of real human conversation on the internet. Here's the breakdown.
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Jun 7
Q2 prints in early August, and that's the real test of whether US users hold and growth stays above guide. The Google AI-data licensing deal is also up for renewal, which tells you what that data's really worth. And it's solidly GAAP-profitable now.
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Jun 7
Where I stand: long $RDDT, my highest-conviction position right now. If Q2 shows US users rolling over or revenue misses guide, the thesis cracks and I'm out. High conviction, not blind faith. Not advice.
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Jun 4
The book today - largest to smallest, ~1.5x gross. (weight / score) $ZETA 29% / 11.5 $RDDT 24% / 14.5 $APP 23% / 11.0 $ONON 22% / 14.5 $ALNY 21% / 14.5 $PLTR 12% / 14.0 $SEZL 10% / 15.0 $WK 9% / 14.0 Long all. Every move timestamped from here. Not advice.
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Jun 4
2 of my largest ($ZETA, $APP) are my lowest scores, on purpose. Both scored high at entry, then ran 35% and 12%. Winning makes a stock pricier, which drags the score down as the gain grows the weight. I let winners run - won't trim just 'cause it's big. Not advice.
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Jun 3
Always wanted to dig into growth stocks and run it like a real process, between a full-time job and everything else, I never had the time. So I finally built it.
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Jun 3
With some help from AI, I built a model that runs the whole market every day, ranks ~3,000 names, and surfaces the strongest growth setups. The work I never had the hours to do by hand.
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Jun 3
Here's the deal: I'll post the top scorers, what I actually own, the charts behind the trades, and the misses, not just the winners. No gurus, no hype. Not advice, just me showing my work.
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Matt retweeted
$NU Nubank Q1 FY26: • Customers 14% Y/Y to 135M • Deposits 22% Y/Y to $42.4B • Revenue 53% Y/Y to $5.0B ($0.1B miss) • Net income 56% Y/Y to $0.9B • EPS $0.18 ($0.01 miss).
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May 14
$NU sold off 9% after-hours on Q1 earnings. The market saw an EPS miss. I saw a quarter where revenue, customers, ARPAC, efficiency, and Mexico all moved the right way — and provisions did the work on the downside. Here's why the print was better than it looked. 🧵
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May 14
Compounding framework. At 30% revenue growth for five years and 20% for five more, with a 30% net margin and 15x P/E, implied 2035 price is roughly $177. From $12.50, that is approximately 30% annualized. This could be on the light side...
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May 14
Real risks worth weighing: Brazilian credit cycle untested in recession. FX translation drag. Regulatory pressure (fintech tax stepped from 40% to 45%). Multiple compression as growth normalizes. The Q1 reaction priced provision noise. The underlying franchise is intact.
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