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WULF Stock Surges As Anthropic AI Megadeal Reshapes Outlook

MATT MONACOUPDATED JUL. 20, 2026, 5:04 PM ET
Reviewed by Jack Kelloggand Fact-checked by Tim Sykes

TeraWulf Inc. stocks have been trading up by 4.46 percent amid upbeat sentiment over its expanding Bitcoin mining capacity.

Key Takeaways Traders Need To Know

  • A 20-year Anthropic lease at WULF’s Justified Data campus in Kentucky is expected to generate roughly $19B in contracted revenue, with the site online by 2H 2027 and full by early 2028.
  • The company is selling its 50.1% Abernathy, Texas AI data center stake to a Fluidstack-led group, monetizing about $450M of capital at a premium for redeployment into higher-priority projects.
  • Management plans to raise about $3.5B in leveraged loans and high-yield bonds, led by Morgan Stanley, to fund the Anthropic-backed Hawesville, Kentucky AI campus, which is fully leased for 20 years.
  • WULF shares jumped between about 11% and 19% on the Anthropic news and are now up around 111% year-to-date, signaling strong momentum despite negative earnings.
  • Wall Street firms including Rosenblatt, Needham, Morgan Stanley, Clear Street, and Cantor Fitzgerald raised targets or reiterated Buy/Overweight views, with Morgan Stanley lifting its target to $72.

Candlestick Chart

Live Update At 17:03:50 EDT: On Monday, July 20, 2026 TeraWulf Inc. stock [NASDAQ: WULF] is trending up by 4.46%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

TeraWulf Inc. is trading like a momentum name, and the numbers back that up. WULF has ripped from the low‑$20s to the high‑$18s–mid‑$20s range over recent weeks, with a spike above $25 after the Anthropic deal headlines. Even after some digestion, the daily chart still shows higher lows versus late June, a typical sign that dip buyers are in control.

Zoom in to intraday action and WULF spends most of the day pinned between $18.80 and $19.10, with tight five‑minute candles. That tells traders liquidity is strong and volatility, for now, is being absorbed rather than blowing out.

Fundamentals are still ugly. WULF booked about $168.5M in revenue over the trailing period, but profit margins are deeply negative, with EBIT margin around -526% and net margins more than -600%. Free cash flow in the latest quarter was roughly -$540M, and the company is leaning on debt and equity issuance to fund growth.

On the balance sheet, WULF holds about $2.63B in cash and equivalents but also carries roughly $4.68B in long‑term debt and negative common equity. For traders, that means the story is not about current profitability; it is about future contracted AI revenue and whether the Anthropic deal justifies this leverage-heavy expansion.

Why Traders Are Watching WULF’s AI Pivot

WULF used to be lumped in with high-beta crypto miners. That narrative is changing fast. The 20‑year, roughly $19B lease with Amazon‑backed Anthropic at the Justified Data campus in Kentucky effectively converts a big chunk of TeraWulf’s pipeline into visible, contracted AI infrastructure revenue. For momentum traders, that is the kind of story that can sustain multi‑month moves.

The timeline matters. WULF expects the Anthropic-powered Kentucky facility online in 2H 2027 and at full capacity by early 2028. This is not a quick flip; it is a medium-term ramp where traders will trade the narrative long before the full cash flows arrive. The market already reacted: WULF spiked 11%–19% on the news and is now up about 111% year-to-date, even as digital asset revenue remains weak and losses widen.

At the same time, WULF is recycling capital. Selling its 50.1% stake in the Abernathy, Texas AI joint venture to a Fluidstack-led group, at a premium, monetizes roughly $450M of invested capital. That frees WULF to double down on Justified, where Anthropic is fully locked in for 20 years. Clear Street and others say this proves WULF can turn its multi‑gigawatt pipeline into long-duration contracts with top-tier AI tenants.

The funding piece is aggressive. WULF plans to raise about $3.5B through leveraged loans and high-yield bonds, with Morgan Stanley at the helm. Because the Hawesville campus is fully pre-leased to Anthropic, bulls argue the risk/reward skews positive; bears will focus on balance-sheet stress. Meanwhile, the Street is leaning bullish: Rosenblatt hiked its target to $30, Needham to $33, Cantor Fitzgerald to $37 (calling a New York moratorium selloff “overdone”), and Morgan Stanley went all the way to $72. For short-term and swing traders, those calls can act as catalysts and psychological anchors.

Conclusion

For active traders, WULF is a classic high‑risk, high‑reward story riding the AI data center wave. The company is not profitable today, and key ratios scream “early-stage infrastructure build” rather than stable compounder. Margins are sharply negative, cash burn is heavy, and leverage is set to rise with the planned $3.5B debt raise. That is the backdrop you must respect if you are trading the name.

At the same time, the Anthropic partnership changes how the market looks at TeraWulf Inc. WULF now has roughly $19B of contracted revenue lined up over 20 years with a marquee AI tenant, plus a cleaner portfolio after the premium Abernathy sale. The stock’s 111% year‑to‑date run and multiple price target hikes — including Morgan Stanley’s $72 call — show that many on the Street are focused less on last quarter’s loss and more on the long runway for AI compute demand.

For day traders and swing traders, the playbook is straightforward: watch how WULF trades around key levels in the high‑teens and low‑$20s, track news on the debt financing, and respect the volatility that comes with leverage and headlines like the New York data center moratorium. As Tim Sykes likes to say, “Patterns repeat, but you have to be prepared — study the charts, know the catalysts, and always cut losses quickly.” As millionaire penny stock trader and teacher Tim Sykes, says, “There is always another play around the corner; don’t chase just because you feel FOMO.”. That mindset applies perfectly to WULF’s AI-fueled story right now.

This is stock news, not investment advice. Timothy Sykes News delivers real-time stock market news focused on key catalysts driving short-term price movements. Our content is tailored for active traders and investors seeking to capitalize on rapid price fluctuations, particularly in volatile sectors like penny stocks. Readers come to us for detailed coverage on earnings reports, mergers, FDA approvals, new contracts, and unusual trading volumes that can trigger significant short-term price action. Some users utilize our news to explain sudden stock movements, while others rely on it for diligent research into potential investment opportunities.

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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.

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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 .

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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”