王一朵儿

🚨24-Year-Old Trader Turns $225M into $5.5B: He's Betting Not on AI Models, but on AI's "Electricity"

There's a crazy trading story in the market recently.

A 24-year-old fund manager turned $225 million into $5.5 billion in less than 12 months.

Many assumed such returns must have come from leading AI stocks.

But a closer look at his portfolio reveals a completely different logic.

He's not betting on AI software.

But on AI infrastructure bottlenecks.

His largest single holding is:

$Bloom Energy(BE.US)

A position of roughly $885 million, accounting for about 20% of the entire fund.

What is Bloom Energy's core business?

Providing distributed energy systems for data centers.

In other words—

AI needs computing power, and computing power needs electricity.

This is the most overlooked link in the entire AI infrastructure chain.

His second major bet is:

The CoreWeave ecosystem.

He recently added another $300 million, bringing his investment in CoreWeave to $700 million.

He also holds about a 10% stake in Core Scientific.

One point many overlook is:

A large number of Bitcoin mining farms are being converted into AI data centers.

The reason is very simple:

Mining farms already possess the three things AI needs most:

Electricity

Cooling

Infrastructure

So he's also positioning in mining companies, such as:

$Cipher Digital(CIFR.US)

$Bitfarms Canada(BITF.US)

These companies are gradually transitioning from Bitcoin computing power → AI computing power.

Even more interesting is his short position.

He is massively shorting Infosys.

The logic is equally straightforward:

With the development of AI programming tools like Claude Code and Codex, the traditional IT outsourcing model may be impacted.

In short, his entire investment thesis boils down to one sentence:

The biggest bottleneck for AI is not models.

It's electricity, data centers, and infrastructure.

This is also why his capital is rapidly shifting towards:

Electricity

Energy

Computing infrastructure

He has even reduced positions in some traditional AI chip companies, such as:

$NVIDIA(NVDA.US)

$Intel(INTC.US)

If this logic holds, the true value distribution within the AI industry chain may change.

Model companies attract attention.

But what truly limits the speed of AI expansion might be those industries that seem less "sexy":

Electricity

Energy

Data centers

When the entire industry enters a GW-scale computing power construction cycle, these infrastructure companies could become the new critical nodes.

Recently, I had some free time and used Gemini Pro 3.0, the strictest father in front-end development, $Alphabet(GOOGL.US), to develop a website that can track the MNAV of $BitMine Immersion Tech(BMNR.US) stocks in real-time. The platform I introduced earlier for tracking $BitMine Immersion Tech(BMNR.US) had data refresh limitations without a membership, making it impossible to track in real-time, which made it difficult to accurately capture fleeting premium/discount windows during trading.

To solve this problem, I rebuilt a real-time valuation system using the edge computing platform of $CloudFlare(NET.US). For beginners who are new to this stock, here’s a quick introduction—veterans can skip the intro and go straight to the link to use it.

The core logic of this platform is to treat BMNR as a shadow stock of crypto assets, dynamically calculating the current net asset premium level by aggregating real-time data streams of the underlying asset Ethereum and secondary market stock prices.

It mainly implements the following features:

Real-time quotes: The left side syncs with U.S. stock prices, while the right side anchors the current price of Ethereum. Data refreshes automatically every 3-10 seconds, completely eliminating the hassle of manual calculations.

Valuation model: The system automatically calculates the MNAV ratio, visually showing whether the current stock price is at a premium or discount relative to net asset value per share, helping to assess the margin of safety.

Interactive simulation: Provides a visual parameter simulator where users can freely set Ethereum’s target price or adjust the company’s holdings to reverse-calculate the theoretical stock price in real-time.

Extreme analysis: Uses a heatmap matrix to display valuation ranges under different market sentiments and price fluctuations, helping users assess risk boundaries.

This tool is purely for assisting in premium/discount analysis and value judgment, aiming to provide a clear value reference in a highly volatile market. Everyone is welcome to try it out.

Also, the creation of this tool wouldn’t have been possible without the enthusiastic sharing of Uncle Yaren @lyhalfway. Special thanks to him! If you find it useful, I’d shamelessly ask for a like. Feel free to leave suggestions for improvement in the comments~

Access the tool at: https://bmnr.pages.dev/

Let's talk about this market downturn

Everyone is waiting for Powell's speech tonight

This is considered official guidance

The recent week's downturn was due to unofficial news

Currently, the rumors suggest

There's a high probability of no rate cut in September

Which is negative for U.S. stocks

Or this is just an excuse for the overheated U.S. stock market

To justify the downturn

The mainstream view is a 10-20% decline in this round

Personally, I think 10-15% is the limit

I will gradually increase my position starting from a 10% drop

After all, the U.S. stock market's recovery ability is very strong

Today, I calculated the "Magnificent Seven" tech stocks

From their highs to a 10% pullback

Sharing with everyone

1.$NVIDIA(NVDA.US) recent high 184.48, 10% pullback at 166, meaning below 170, I would consider adding to my position.

2.$Tesla(TSLA.US) recent high 348.98, 10% pullback at 314, meaning below 320, I would consider gradually adding to my position. This has almost been reached.

3.$Amazon(AMZN.US) recent high 236.53, 10% pullback at 212.87, meaning around 210, I would consider gradually adding to my position.

4.$Alphabet(GOOGL.US) recent high 206.44, 10% pullback at 185.79, meaning below 190, I would consider gradually adding to my position.

5.$Microsoft(MSFT.US) recent high 554.56, 10% pullback at 499.1, meaning around 500, I would consider gradually adding to my position. The first adding point has almost been reached.

6.$Apple(AAPL.US) recent high 235.12, 10% pullback at 211.6, meaning around 210, I would consider gradually adding to my position.

7.$Meta Platforms(META.US) recent high 796.25, 10% pullback at 716.62, meaning below 720, I would consider gradually adding to my position.

8.$Taiwan Semiconductor(TSM.US) recent high 247.84, 10% pullback at 223.05, meaning around 220, I would consider gradually adding to my position.

The above is just my personal trading suggestion, and the numbers are mechanical calculations. Each stock is different, so this is for reference only. Additionally, I will share the adding points for -15% and -20% in image form, hoping it helps everyone.

Finally, this is not investment advice, just personal experience sharing.

$Tesla(TSLA.US)$NVIDIA(NVDA.US)$Alphabet(GOOGL.US)After two rounds of drinking, I sobered up a bit. Just scrolled through TikTok and it's all about tariffs, but most of the content is subjective interpretations. Haven't seen anyone break it down thoroughly yet. Except for those in import/export trade, for us day traders in U.S. stocks, we still need to assess how much this will affect us.

I like to simplify things, just like how I often say when managing a company: strategy > organization > operations. The same goes for investing. What are the fundamental premises of investing in U.S. stocks?

1. The financial market with the highest global liquidity.

2. Home to the world's most outstanding companies across all sectors.

3. The U.S. dollar's dominant global position.

4. Wall Street's absolute pricing power in company valuations.

If you understand these four points, you won't overthink about buying at lows. Unless World War III breaks out, it's basically free money. Stop obsessing over whether there'll be short-term dips—it doesn't matter. Investing is long-term; short-term is just gambling.

Just look at the U.S. stock market's trajectory over the past decade, and you'll realize how meaningless short-term volatility and fear are.

To summarize:

1. Are you long-term bullish?

2. Did you get in at a cheap enough price?

3. Can you hold for at least a year?

4. Can you keep your position below 70%?

Reflect on these four points. If you can do them, your returns on Longbridge will eventually rank in the top 5%.

Finally, why am I so confident investing big in U.S. stocks? Not because I'm rich, but because I know I'll make even more.

I've been posting on Longbridge for almost four months. Lately, whether from fun or work fatigue, I'm genuinely tired. I really need to cut back on posting and rest properly. Don't just spectate—actually reflect, overcome fear and greed, trade rationally, and you'll be fine long-term. Keep it up!