
CIO Fundstrat Capital @FundstratCap $GRNY $GRNJ| Research @fundstratdirect | @CNBC FT contr. | Chairman Bitmine @BitMNR $BMNR $BMNP | Wikipedia: https://xitter.cf/t.co/8QsXKpzGT7
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Joined July 2014
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AI stocks under pressure as funding concerns + political backlash
- AI stocks down
- positioning bearish extremes
A formula for a ‘coiled spring’ higher
Great speaking with @TheJudgeCNBC on @CNBCClosingBell
@FundstratDirect @FundstratCap @BitMNR
$BMNR $BMNP
"It does look like we're seeing tech basically touching support." @Fundstrat's Tom Lee on @CNBCClosingBell, after checking in with @MarkNewtonCMT for the technicals.
Thomas (Tom) Lee (not drummer) FundstratDirect.com retweeted
TOM LEE @fundstrat 6 reasons we maintain conviction on the AI trade and why this selloff is ending. $CF $LMT $LLY $TJX $UNH
Fundstrat Granny Shots ETFs $GRNY $GRNJ $GRNI Weekly Update Video - October 19, 2026
Watch the full video 🔗: youtu.be/gBsmHnkJOJo
Congrats on the common equity buyback
👏👏👏
Replying to @BitMNR
2/
"Bitmine executed equity buybacks in the past week, acquiring 2.04 million shares, repurchased at an average price of $22.48.
➡️When management believes Bitmine shares are relatively undervalued, the Company intends to accretively repurchase shares, subject to market conditions and under the existing repurchase authorization.
➡️Optimizing shareholder value remains our top objective,"
continued Lee.
In 2026, Bitmine has repurchased 22.9 million common shares, at an average price of $17.48 or an aggregate amount of $399.6 million.
➡️ "This is the largest crypto treasury company common equity buyback ever executed, and reflects our commitment to shareholders," stated Lee.
Sort of looks like a positive inflection point inbound
-AI is structural
This quoted post is unavailable.
Thomas (Tom) Lee (not drummer) FundstratDirect.com retweeted
Tom Lee thinks we are getting a lot closer to the bottom of this tech selloff than people realize.
His argument is that investors have become extremely pessimistic about AI, semiconductors, memory stocks, and technology in general. In fact, betting against tech has become such a popular trade that he believes we could be approaching the final stages of this correction. What's interesting is that the underlying fundamentals haven't deteriorated nearly as much as stock prices suggest. AI demand is still strong, companies are continuing to spend billions building infrastructure, and earnings are holding up. The bigger concern right now is how all of this expansion gets financed, especially with interest rates remaining elevated.
@fundstrat also points out that Treasury yields have started coming down and the Federal Reserve could become more supportive. Both would help companies that need significant amounts of capital to fund their growth. Another important point is that his technical analyst, Mark Newton, believes many technology stocks have already fallen toward major support levels. These are price levels where buyers have historically stepped in, although that doesn't guarantee they will hold.
Essentially, Lee believes we have a situation where sentiment has become extremely negative while the long term growth story remains intact. He compares this to a compressed spring, where stocks could rebound sharply once the selling pressure starts to ease. I tend to agree with his overall argument. That doesn't mean we can't go lower but I think investors are starting to price in a much worse outcome than what the fundamentals are currently telling us.
This selloff is a lot closer to the bottom than we think.
According to Jefferies, over the past 10 trading days, its clients have been net sellers of more than $1B worth of technology stocks on 7 separate days. This chart tracks the buying and selling activity of Jefferies’ clients over a rolling 20 day period. When the purple line is above zero, investors are buying more than they’re selling. When it’s below zero, they’re selling more than they’re buying. Right now, that number has collapsed to approximately negative $11B, making this one of the most extreme periods of technology selling we’ve seen in the past two years.
For comparison, even during the major selloffs earlier in 2025 and 2026, the selling pressure wasn’t consistently this severe. And remember, this is just one investment bank’s trading activity. This also helps explain why companies across semiconductors, memory, power, and AI infrastructure have been getting absolutely crushed despite reporting strong earnings and continued demand. A lot of this selling isn’t necessarily happening because the fundamentals have changed. Large institutions are reducing exposure, managing risk and raising cash. When everyone starts selling at the same time, even the best companies get dragged down.
Now, does this mean the bottom is definitely here? Of course not. Nobody knows that but historically, when selling becomes this extreme, it can be a sign that we’re getting closer to exhaustion. Eventually, the forced selling slows down, buyers return, and stocks can recover. My personal view is that we’re likely getting much closer to a bottom, I’m not changing my long term outlook on AI because hedge funds and institutions are aggressively selling technology stocks. The demand for compute, memory, power, and AI infrastructure hasn’t suddenly disappeared. I’m investing with years in mind, not weeks.
Thomas (Tom) Lee (not drummer) FundstratDirect.com retweeted
🚨NOW: Fundstrat’s Tom Lee says "The End of the AI sell off is here"
Lee argues this is a healthy correction, with debt-market scrutiny restraining speculation while AI breakthroughs continue.
“I don’t think there’s too much money being thrown at AI today.”
He points to easing bond yields and a potentially more dovish Fed as fading headwinds, arguing that shorting tech has become a crowded trade.
Lee remains bullish on Nvidia, memory chips, the Magnificent Seven, software and crypto:
“This is what I view as a coiled spring because the fundamentals have been holding in.”
Hard to have a bubble when bond markets limit access to ‘plentiful funding’
TOM LEE: AI FEARS MAY BE PREVENTING THE VERY BUBBLE INVESTORS FEAR
While markets worry about excessive AI spending, @fundstrat argues that continued breakthroughs and discipline in debt markets are signs of a healthier investment cycle.
His argument is worth considering:
🔹 AI discoveries are still accelerating
🔹 Capital spending is being scrutinized
🔹 Lending discipline may limit speculation
The distinction for investors is important: a correction in valuations doesn't necessarily mean the underlying technology boom is ending.
And if AI fears are contributing to the broader risk off selloff, the implications extend beyond tech stocks to crypto and $BMNR.
Is Wall Street confusing a correction with the end of the AI investment cycle?
This was live from @the_phoenician
"I think we're so early in this AI trade that it's understandable for people to be worried." @Fundstrat's Tom Lee sees echoes of 1997 Cisco in the AI sell-off.
See what else he and the Fundstrat team are watching in the Weekly Snapshot every week. Free:research.fundstratdirect.com…
Good chart
$SMH PE
Everyone is too bearish now
"It does look like we're seeing tech basically touching support." @Fundstrat's Tom Lee on @CNBCClosingBell, after checking in with @MarkNewtonCMT for the technicals.
Thank you @ETFExpress
We are grateful @FundstratCap was named:
‘Best US ETF Issuer’ in 2026
Go $GRNY $GNRJ $GRNI!
Echos of 1997
Hint: everything recovered hugely
The entire AI infrastructure complex is now in a bear market.
Drawdown since all time high
> GE Vernova: -22%
> Quanta: -24%
> Eaton: -18%
> Vertiv: -47%
> Bloom Energy: -32%
> Constellation Energy: -33%
> Coreweave: -67%
> IREN: -64%
Either a falling knife or a generational buying opportunity, depending on which side of the AI debate you sit on
$ETH is the way























