The Few Bets That Matter
RT @WealthyReadings: My watchlist today has nothing to do to what it was last year... Sell tech, buy defensives.
$MRNA
$NVO
$CROX
$PFE
$DAR
$NTR
$SWBI
$TWST
$PEP
$TGT
$ENPH
$COP
$DECK
I'm probably the only one around here sharing this stuff nowadays 👇
https://t.co/jQRKnEOC4d
tweet
RT @WealthyReadings: My watchlist today has nothing to do to what it was last year... Sell tech, buy defensives.
$MRNA
$NVO
$CROX
$PFE
$DAR
$NTR
$SWBI
$TWST
$PEP
$TGT
$ENPH
$COP
$DECK
I'm probably the only one around here sharing this stuff nowadays 👇
https://t.co/jQRKnEOC4d
The weekly 50 is the uptrend golden indicator
$NVDA is below its w50
$META is below its w50
$MSFT is below its w50
$AMZN is below its w50
$HOOD is below its w50
$PLTR is below its w50
$UBER is below its w50
$NFLX is below its w50
$HOOD is below its w50
$ADBE is below its w50
$DUOL is below its w50
& many other 2025 leaders ... tweet
X (formerly Twitter)
The Few Bets That Matter (@WealthyReadings) on X
Trash, Dirt & Guns: Unsexy Stocks With Large Upside
The Few Bets That Matter
RT @WealthyReadings: The weekly 50 is the uptrend golden indicator
$NVDA is below its w50
$META is below its w50
$MSFT is below its w50
$AMZN is below its w50
$HOOD is below its w50
$PLTR is below its w50
$UBER is below its w50
$NFLX is below its w50
$HOOD is below its w50
$ADBE is below its w50
$DUOL is below its w50
& many other 2025 leaders ...
tweet
RT @WealthyReadings: The weekly 50 is the uptrend golden indicator
$NVDA is below its w50
$META is below its w50
$MSFT is below its w50
$AMZN is below its w50
$HOOD is below its w50
$PLTR is below its w50
$UBER is below its w50
$NFLX is below its w50
$HOOD is below its w50
$ADBE is below its w50
$DUOL is below its w50
& many other 2025 leaders ...
https://t.co/TVqbdhKTn4 tweet
X (formerly Twitter)
The Few Bets That Matter (@WealthyReadings) on X
Selling Risks, Buying Defensives - The Contratian Trade
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The Few Bets That Matter
RT @WealthyReadings: $TMDX should be trading closer to $ISRG
Both are in the healthcare domain with a product years in advance on competition, growign market shares and importance within a healthcare system.
Comparable growth profiles, although $ISRG is less explosive meaning no decline, but a stable growth.
Comparable margins, although again $ISRG is slightly superior due to being optimized for probitability now, something $TMDX is working on with great results, as the lattest quarters show clearly.
There are small difference which explain why $ISRG has such a premium, and it deserves it. But the market will need to realize that $TMDX execution risks which it is pricing are only a matter of delay. Not risk.
In a few quarters, $TMDX will deserve equivalent premium.
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RT @WealthyReadings: $TMDX should be trading closer to $ISRG
Both are in the healthcare domain with a product years in advance on competition, growign market shares and importance within a healthcare system.
Comparable growth profiles, although $ISRG is less explosive meaning no decline, but a stable growth.
Comparable margins, although again $ISRG is slightly superior due to being optimized for probitability now, something $TMDX is working on with great results, as the lattest quarters show clearly.
There are small difference which explain why $ISRG has such a premium, and it deserves it. But the market will need to realize that $TMDX execution risks which it is pricing are only a matter of delay. Not risk.
In a few quarters, $TMDX will deserve equivalent premium.
tweet
Offshore
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The Few Bets That Matter
RT @WealthyReadings: $ANET posted an excellent quarter.
Revenues up ~29%, gross/net margins at 63% & 38%, Q1-26 guidance pointing to ~30% YoY.
Shares up 9% post-earnings at ~21x sales.
Deserved.
$ALAB posted an even better one.
Revenues up 91%, with 75% gross and 17% net margins, Q1-26 guidance at 83% growth.
Shares down 28% since earnings at ~26x sales.
$ANET is more established, slower growing but higher margin than $ALAB. Both are critical to powering the next AI data centers as CapEx continues to skyrocket.
But $ALAB made the “mistake” of acquiring two companies, increasing OpEx and salaries to expand capabilities and deliver more value to customers.
Less short-term cash generation.
Exactly what the market has been punishing lately.
Still, if $ANET reflects how the market wants to price hardware names - and peers suggest it does, then $ALAB is not trading where it should.
You don’t grow ~90% before production ramps on flagship products and trade at 26x sales, while a ~30% grower in the same ecosystem facing the same risk case - $NVDA networking system, trades at 21x.
Choose your imposter.
tweet
RT @WealthyReadings: $ANET posted an excellent quarter.
Revenues up ~29%, gross/net margins at 63% & 38%, Q1-26 guidance pointing to ~30% YoY.
Shares up 9% post-earnings at ~21x sales.
Deserved.
$ALAB posted an even better one.
Revenues up 91%, with 75% gross and 17% net margins, Q1-26 guidance at 83% growth.
Shares down 28% since earnings at ~26x sales.
$ANET is more established, slower growing but higher margin than $ALAB. Both are critical to powering the next AI data centers as CapEx continues to skyrocket.
But $ALAB made the “mistake” of acquiring two companies, increasing OpEx and salaries to expand capabilities and deliver more value to customers.
Less short-term cash generation.
Exactly what the market has been punishing lately.
Still, if $ANET reflects how the market wants to price hardware names - and peers suggest it does, then $ALAB is not trading where it should.
You don’t grow ~90% before production ramps on flagship products and trade at 26x sales, while a ~30% grower in the same ecosystem facing the same risk case - $NVDA networking system, trades at 21x.
Choose your imposter.
https://t.co/l9nGdNNrQu tweet
The Transcript
$QCOM CEO: "As memory suppliers redirect manufacturing capacity to HBM to meet AI data center demand, the resulting industry-wide memory shortage and price increases are likely to define the overall scale of the handset industry through the fiscal year. Given the current environment, several handset OEMs, especially in China, are taking a cautious approach in reducing their chipset inventory."
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$QCOM CEO: "As memory suppliers redirect manufacturing capacity to HBM to meet AI data center demand, the resulting industry-wide memory shortage and price increases are likely to define the overall scale of the handset industry through the fiscal year. Given the current environment, several handset OEMs, especially in China, are taking a cautious approach in reducing their chipset inventory."
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Clark Square Capital
RT @ClarkSquareCap: Here is this week's special situations digest.
281 situations in activist campaigns, M&A/divestments, management changes, and other corporate events.
Make sure to check it out https://t.co/NZBTGqVC6P
tweet
RT @ClarkSquareCap: Here is this week's special situations digest.
281 situations in activist campaigns, M&A/divestments, management changes, and other corporate events.
Make sure to check it out https://t.co/NZBTGqVC6P
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Javier Blas
RT @JasonBordoff: @MunSecConf made clear how firmly energy security has returned to the center of geopolitical debate. My thoughts from my trip last week #MSC2026 https://t.co/S1PGqyWJTd
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RT @JasonBordoff: @MunSecConf made clear how firmly energy security has returned to the center of geopolitical debate. My thoughts from my trip last week #MSC2026 https://t.co/S1PGqyWJTd
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DAIR.AI
RT @omarsar0: Nice paper studying whether agents can generate their own procedural knowledge.
This is very important to build more reliable self-improving agents.
The new benchmark evaluates how well Skills help LLM agents across 86 tasks and 11 domains.
Finding over 7,300 agent trajectories:
Curated Skills improved agent pass rates by 16.2 percentage points on average. But the gains varied wildly, from +4.5pp in Software Engineering to +51.9pp in Healthcare.
The most surprising finding is that self-generated Skills provide no benefit on average.
Models struggle to create the procedural knowledge that actually helps them.
Focused, concise skills outperformed comprehensive documentation. And smaller models with Skills matched larger models without them.
If agents can't reliably create their own procedural knowledge, the curation and design of Skills becomes a critical bottleneck for agent systems.
Paper: https://t.co/ubXNB3UShQ
Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX
tweet
RT @omarsar0: Nice paper studying whether agents can generate their own procedural knowledge.
This is very important to build more reliable self-improving agents.
The new benchmark evaluates how well Skills help LLM agents across 86 tasks and 11 domains.
Finding over 7,300 agent trajectories:
Curated Skills improved agent pass rates by 16.2 percentage points on average. But the gains varied wildly, from +4.5pp in Software Engineering to +51.9pp in Healthcare.
The most surprising finding is that self-generated Skills provide no benefit on average.
Models struggle to create the procedural knowledge that actually helps them.
Focused, concise skills outperformed comprehensive documentation. And smaller models with Skills matched larger models without them.
If agents can't reliably create their own procedural knowledge, the curation and design of Skills becomes a critical bottleneck for agent systems.
Paper: https://t.co/ubXNB3UShQ
Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX
tweet