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Surging Demand. My AI Energy Watchlist.

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Written by Timothy Sykes
Updated 9/23/2025 7 min read

In this article Last trade Sep, 26 7:39 PM

  • FLNC+1.19%
    FLNC - NYSEFluence Energy Inc.
    $11.87+0.14 (+1.19%)
    Volume:  7.31M
    Float:  87.79M
    $11.21Day Low/High$12.15
  • NUAI+43.48%
    NUAI - NYSENew Era Energy & Digital Inc.
    $1.98+0.60 (+43.48%)
    Volume:  157.14M
    Float:  11.35M
    $1.42Day Low/High$2.55
  • OKLO-8.07%
    OKLO - NYSEOklo Inc. Class A
    $109.52-9.61 (-8.07%)
    Volume:  26.63M
    Float:  119.71M
    $108.54Day Low/High$121.50
  • SLNH-19.73%
    SLNH - NASDAQSoluna Holdings Inc.
    $2.36-0.58 (-19.73%)
    Volume:  17.23M
    Float:  21.33M
    $2.15Day Low/High$3.20
  • SMR+1.09%
    SMR - NYSENuScale Power Corporation Class A
    $38.11+0.41 (+1.09%)
    Volume:  14.97M
    Float:  277.21M
    $36.85Day Low/High$38.93

Hey! Tim Sykes here,

There’s a specific sector that’s starting to heat up in the market.

We knew this was coming.

Even before AI burst on the scene in 2023, there were rumblings of surging demand in this area of the market …

I’m talking about energy.

In 2020 and 2021, environmental activists rang alarm bells as the crypto industry grew larger and currencies like Bitcoin spiked to new all-time highs.

The process of creating new crypto, known as crypto mining, has a high energy consumption. Computers run complex simulations to create crypto coins, and these simulations use a lot of electricity.

As the crypto industry crashed in 2022, energy consumption fears faded alongside the de-fi sector.

But now, crypto is back. And it’s bigger than ever.

Just this week, on September 22, the U.S. and the U.K. announced a joint task force to cooperate on crypto regulation.

That’s not all. You’ve probably heard of the energy consumption that’s necessary to run and train large-language AI models …

Demand for energy is growing. And it can’t be ignored any longer.

This week, Pennsylvania’s Governor Josh Shapiro expressed an urgent need to overhaul the country’s largest power grid, PJM Interconnection LLC.

He cited AI as the main contributor to surging power supply costs at the grid (a record $16.1 billion this year).

We’re seeing these kinds of stories all over the country.

And this sector in the market only just started to move …

It’s still early! Position your account to take advantage of this huge energy surge.

AI Energy Stocks

© 2025 Millionaire Media, LLC

There is so much AI momentum in the market right now.

Most people just think of NVIDIA when they hear “AI stocks”. But that’s just the tip of the iceberg.

NVIDIA makes the high-processing chips that are necessary for AI training and usage. And yes, the tech hardware sector is full of bullish momentum right now.

But there are also rare earth stocks that provide the necessary materials for these chips

There are quantum computing stocks on the forefront of the industry, pushing computation power even further.

And there are energy stocks. The literal power of the industry.

AI Energy Stock #1:

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Soluna Holdings Inc. (NASDAQ: SLNH) has already spiked 590%* in September.

The company is determined to make renewable energy a global superpower, using computing-power demand as a catalyst.

I traded this runner during the after hours spike on September 22. My trade notes are below:

Source: Profit.ly

I used a classic dip buy pattern to pull a 16% profit from the spike.

It was no different than any other dip buy I’ve traded in my 20+ career.

When the stocks spike +100% intraday, there’s more room to take a 10% – 30% profit.

Look at the explosive price action of SLNH below. Every candle represents one trading day:

SLNH chart multi-month, 1-day candles Source: StocksToTrade
SLNH chart multi-month, 1-day candles Source: StocksToTrade

This stock is still in play!

Prompt my AI trading bot with the ticker. It will give you a trade plan based on the newest price action, as if you asked me directly.

AI Energy Stock #2:

Oklo Inc. (NYSE: OKLO) has been on our radar for a while.

Ever since it first spiked in April 2024.

Back then, the price topped out at $17.49 per share. These days it’s trading well above $100.

This is a nuclear power company that’s publicly backed by Sam Altman, the CEO of OpenAI, creator of ChatGPT.

And on September 22 the company made meaningful steps toward its first nuclear power plant.

Look at the chart below of this insane OKLO run. Every candle represents one trading day:

OKLO chart multi-month, 1-day candles Source: StocksToTrade
OKLO chart multi-month, 1-day candles Source: StocksToTrade

More Breaking News

AI Energy Stock #3:

NuScale Power Corporation (NYSE: SMR) is another nuclear stock that’s attempting to follow OKLO on the breakout higher.

On the SMR chart below, every candle represents one trading day:

SMR chart multi-month, 1-day candles Source: StocksToTrade
SMR chart multi-month, 1-day candles Source: StocksToTrade

AI Energy Stock #4:

Fluence Energy Inc. (NASDAQ: FLNC) is an energy stock in the solar sector.

On Monday, September 22, the company announced it would supply battery storage units for a Polish project.

Prices just broke past local highs from July and it’s testing the $12 resistance from the gap down in February.

On the FLNC chart below, every candle represents one trading day:

FLNC chart multi-month, 1-day candles Source: StocksToTrade
FLNC chart multi-month, 1-day candles Source: StocksToTrade

AI Energy Stock #5:

New Era Energy & Digital Inc. (NASDAQ: NUAI) is in the oil&gas sector, and it specifically develops infrastructure and power assets for AI and crypto mining.

The stock already spiked 250%* in September.

And it’s currently approaching the breakout level from the highs on June 12.

On the NUAI chart below, every candle represents one trading day:

NUAI chart multi-month, 1-day candles Source: StocksToTrade
NUAI chart multi-month, 1-day candles Source: StocksToTrade

The Next Trade Setup

You might have noticed, I didn’t go into much detail on the history and financials of these companies.

I’m not an investor.

I’m a trader who focuses on the biggest percent gains from the strongest runners in the market.

On every new stock spike, I look for the same patterns in the price action.

All I have to do is point my patterns at the next hottest sector …

Right now, AI energy stocks are surging. And with U.S. energy grids only just starting to feel the squeeze, this momentum is set to continue.

Use my patterns to build smart positions on the markets hottest stocks.

My AI trading bot analyzes this price action in real time and gives traders a plan of attack that minimizes risk and maximizes potential gains.

My millionaire student, Matt Monaco, is standing by to run you through this process.

Join the next AI trade tutorial!

Cheers

 

 

 

*Past performance does not indicate future results


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Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity.
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In this article (YTD Performance)


* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”

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