BREAKING: The S&P 500's market capitalization to world GDP ratio officially hits a new all time high of 46%.
Over the last 15 years, this ratio has QUADRUPLED.
This percentage is now even higher than the 39% recorded at the 2000 Dot-Com Bubble peak.
Additionally, the S&P 500 now has a market cap that is over $50 trillion for the first time in history.
Meanwhile, the US stock market cap to US GDP ratio has also hit a new record of 205%.
The US market has never been bigger.
5343 is strong resistance: (1) it is 50% retrace from 5566; also a remaining gap fill for the last selloff. (2) that said, this whole rebound is still best counted as a zigzag reactive wave. (3) only if SPX reclaims 5400, may I change my bearish take. Otherwise, lower low ahead.
About 18% of the 500-plus hedge funds had an overall short position on $TSLA at the end of June, the highest percentage in more than a year, according to figures shared with Bloomberg.
They piled into their short bets right before Tesla unveiled a set of numbers that triggered a hefty share-price rally.
On Nov 22 2023, Nancy Pelosi and her husband bought Nvidia, $NVDA calls, a leveraged bet Nvidia would go up. She just now bought 10,000 more shares in $NVDA on June 24th 2024.
Since Nov 22, Nvidia is up 156%. Her calls have made her over $4 million, over TWENTY times her salary in 224 days.
I want to give you the history of Pelosi, her $NVDA trading, and show the conflicts within Congress:
Let’s start in December 2021. After a history of unusual trading, from Visa, trading during the GFC, and buying before stimulus bills, Nancy Pelosi was asked if she thinks US Congress members should trade despite legislative conflicts by Bryan Metzger.
She said, "We are a free market economy. Congress should be able to participate in that". Insane.
In Jan 2022 Unusual Whales releases their most famous trading report, showing Congress beat the market. Nancy Pelosi is listed as the fifth best trader in Congress.
That report creates a flurry of media and outrage, while the report continues to go viral. Within seven days of publishing, five new bills banning members of Congress from trading are proposed.
In the summer of 2022, it is revealed that Nancy Pelosi was trading millions of dollars of $NVDA, Nvidia before voting on a US semiconductor bill by the Biden administration.
We reported on her trading to outrage by the public. Interestingly, for the first time in history, a few days later Nancy Pelosi disclosed trades made on the same day they were made. This is likely the fastest disclosure in history of US Congress. She reported that she sold out of her Nvidia position, the first time she divested from conflicts in her portfolio. Despite taking 45 days for every other disclosure, she made this one instantly. Hilarious.
One month later Nancy Pelosi proposed alongside Representative Lofgren her own Congressional trading ban, a bill which was incredibly weak and filled with loopholes.
And then, Pelosi stopped trading. Well, until her $NVDA leveraged bet.
Right now, she still is holding onto her calls, and just bought more $NVDA shares. Let’s look at the context around her call buying.
One week after Chinese President Xi visits her home state of California, and before Biden announces new US semiconductor focuses, her husband decided to buy two million dollars of deep in-the-money Nvidia calls, the same company she divested from due to conflicts a year earlier.
What’s worse On Dec 11th, before she bought in November, U.S. Commerce Secretary Raimondo said that Nvidia could sell slower AI chips to China to comply with US export controls. And then, on Dec 28th, NVDA launched a modified version of an advanced chip precisely to get around US restrictions.
Nvidia now has released new US chips, and has hit all time highs (once again). Of course, none of this is insider trading, but it does seem unusual, especially given scrutiny of Nvida by the government.
Why does she trade ITM tech calls, you may ask? It allows for one to be bullish with less capital upfront, and the contracts move 1 delta to the stock. We wrote more about it on our research site, which you can find in our bio.
She has now seemingly doubled her position in $NVDA, adding 1,180,000 more $NVDA shares. Reminder, she initially divested from this trade WHEN THERE WAS A CONFLICT IN THE BILL.
One terrible thing about her Nvidia trades are that they are done when Congress was in session!!!!!! You can use Unusual Whales to find the exact price she paid for her options and leveraged bets.
What’s more, Pelosi seems to DISCLOSE her Nvidia trades when no one is looking, usually during short weeks (for example the trade was randomly disclosed after nine days this time), when the market closes RIGHT BEFORE a holiday, and while most people focus on Biden’s current campaign issues.
If you think that one of the most powerful politicians in the US can, or even should, have leveraged bets over an incredibly important company to US infrastructure, that is okay. But there might be something worthwhile in understanding how members of Congress trade, and the data suggests as such. Pelosi herself has lost a ton on trades, including when she divested from $NVDA last year, and yet despite that she decided to enter into it again.
But moreover, she CONTINUES to buy leveraged positions on crucial american companies, for example, buying $AVGO, Broadcom on June 24th. She (or her husband) continues to trade without recourse, despite being an incredibly important member of Congress.
So we will keep reporting on Pelosi, and Congress, and the history of unusual trading. Pelosi's portfolio itself is up around 112% over twelve months. If you want to find and follow her portfolio, you can do so on Unusual Whales in our Portfolio tab.
Pelosi has made likely twenty million this year alone off her tech portfolio, with a networth close to $300 million. No matter what trade or conflict though, I will report on it. If you believe this is an important issue, I ask you share this tweet with your friends and family.
Congress cannot hide from me, I will continue to report on the data, and I will not stop until Congress is banned from trading.
Happy fourth of July.
Liquid Cooling is the biggest ‘Pick and Shovel’ theme of AI and Data Center boom.
Find it difficult to understand why?
The heart of a data center's efficiency is its ability to manage heat.
Excessive heat—can lead to hardware failure, reduced performance, and increased energy consumption
1. Supercomputers Boom:
1000s of GPUs rack built for AI have higher thermal density properties than previous-generation architectures.
2. Server manufacturers like $SMCI are packing more GPUs into each rack to meet the accelerating demand for high-performance computing and AI applications.
3. Traditional air cooling can’t cool high-density server racks efficiently and sustainably.
4. So data center operators are evaluating liquid cooling options instead of Air. Liquid cooling can be up to 3000 times more effective than using air. Why?
Liquid cooling leverages the higher thermal transfer properties of water or other fluids to do the cooling of high-density racks which is more efficient and cost-effective
5. However Installing liquid cooling can get complicated. Key issues includes
Plumbing requirements
Cooling distribution
Balance capacity
Risk mitigation strategies
Heat rejection systems
6. Options for liquid cooling include:
/ Rear-door heat exchangers
/ Direct to chip cooling
/ Immersion cooling
Direct to chip cooling can remove about 70-75% of the heat generated by the equipment in the rack, leaving 25-30% that must be removed by air-cooling systems.
7. Reducing energy consumption:
One of the most compelling benefits of liquid cooling technology is its potential to lower energy consumption.
Using efficient heat transfer mechanisms, data centers can achieve significant energy savings, contributing to sustainability goals and reducing operational costs.
8. Two leaders of Liquid Cooling Solutions?
NPN Or Nvidia Partner Network is a global program for technology partners who offer solutions built on, or powered by, NVIDIA technologies.
Super Micro runs $NVDA AI chips.
Supermicro is a “one-stop” solution provider for rack scale liquid cooling solutions. Their liquid cooling solution can reduce OPEX by up to 40%, and allow data centers to run more efficiently with lower PUE (Power usage effectiveness (PUE) is a metric used to determine the energy efficiency of a data center).
SMCI CEO Charles Liang tweeted recently “Thanks elonmusk for leading the liquid cooling technology to large AI data centers!". SMCI will make half the racks for $TSLA XAI Grok
Vertiv $VRT is another company that brings its high-density power and cooling infrastructure expertise to the NVIDIA Partner Network to better support adoption of accelerated computing and AI workloads
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