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MARA Stock Jumps As Long Ridge Power Deal Rewires Growth Story Thumbnail

MARA Stock Jumps As Long Ridge Power Deal Rewires Growth Story

TIM SYKESUPDATED MAY. 6, 2026, 5:04 PM ET
Reviewed by Bryce Tuoheyand Fact-checked by Matt Monaco

MARA Holdings Inc. stocks have been trading up by 6.29 percent after upbeat earnings and growth outlook boosted investor confidence.

Candlestick Chart

Live Update At 17:03:53 EDT: On Wednesday, May 06, 2026 MARA Holdings Inc. stock [NASDAQ: MARA] is trending up by 6.29%! Discover the key drivers behind this movement as well as our expert analysis in the detailed breakdown below.

Quick Financial Overview

MARA has been grinding higher on the chart. Over the last couple of weeks, the stock pushed from a low near $9.27 to close around $13.03, a steady stair‑step move that tells traders dip buyers are in control. The most recent session opened at $12.545 and closed near the highs, another sign of persistent demand.

Intraday, the 5‑minute tape shows MARA holding above $12.50 for most of the day and pressing into the $13.00–$13.12 area late. That tight afternoon range with a firm close looks like classic consolidation after a push, not a blow‑off. For short‑term trading, that often sets up either a breakout continuation or a sharp fake‑out, so risk control matters.

Fundamentally, MARA is still loss‑making. The latest annual numbers show about $202M in revenue and a net loss over $1.7B. Margins are deeply negative, and free cash flow is roughly -$389M. On the flip side, revenue growth has been explosive and the balance sheet carries about $5.47B in cash and equivalents plus a price‑to‑book around 1.3, which traders often read as “asset‑rich but execution‑dependent.” In plain English: MARA is a high‑beta story that trades on future power and compute, not current earnings.

Why Traders Are Watching MARA’s Long Ridge Pivot

The real story for MARA right now is power. MARA Holdings is spending about $1.52B to buy Long Ridge Energy & Power and related assets, including a fully operational 505 MW gas‑fired plant in Ohio. BTIG didn’t mince words, calling the deal “transformational.” They highlighted how MARA can pair Long Ridge with its existing 200 MW Hannibal capacity and start building out high‑performance computing from 2027. That’s not just about mining bitcoin; that’s about selling compute into the AI gold rush.

Rosenblatt took that thesis and put numbers around it, lifting its MARA target to $15 from $11 on the back of more than $140M in annualized EBITDA from Long Ridge. The firm framed MARA not as a pure‑play bitcoin miner anymore, but as an “energy‑backed digital infrastructure platform.” For traders, that shift matters. Infrastructure‑like cash flows tend to command higher, more stable multiples than cyclical, hash‑rate‑driven revenue.

At the same time, the Street is not unanimous. Cantor Fitzgerald actually cut its MARA target to $10, but stayed Overweight, arguing that a tight supply/demand setup for AI infrastructure keeps the multi‑year backdrop strong. Morgan Stanley moved its target only to $8.50 and kept an Underweight stance, even as FactSet shows a much more bullish mean target around $15.65. That split view is a gift for active trading — it creates a band of expectations where surprise headlines can trigger violent moves in either direction.

For now, the price action shows traders siding with the bulls. MARA rallied about 6% to $11.39 on the initial Long Ridge news and has since pushed into the low‑$13s. With the company also planning to report Q1 2026 results and host a call on 2026/05/11, the stage is set for management to fill in the blanks on financing, timelines, and how much of that Long Ridge EBITDA will be kept versus reinvested into HPC and AI capacity.

More Breaking News

Conclusion

For active traders, MARA is evolving from a simple crypto‑beta name into a leveraged bet on digital power and compute. The Long Ridge acquisition gives MARA direct control over 505 MW of gas‑fired capacity plus upstream assets, on top of its Hannibal site. That vertical stack is designed to lock in power cost and reliability, two things that matter far more once you start running energy‑hungry AI and HPC workloads at scale.

The catch is size. A $1.52B deal is massive relative to MARA’s current business. The latest financials already show heavy losses, negative free cash flow, and significant debt. That means traders have to track not only the upside from $140M‑plus in annualized Long Ridge EBITDA, but also the risks around funding, integration, and execution. This is not a sleepy utility trade; it’s a high‑volatility build‑out story.

Heading into the 2026/05/11 earnings letter and call, MARA traders should treat every detail on capex, power pricing, and HPC ramp timing as potential catalysts. In the words of Tim Sykes, “You’re not here to predict the future. You’re here to react faster than everyone else when the facts change.” As millionaire penny stock trader and teacher Tim Sykes, says, “Small gains add up over time; focus on building wealth gradually, not chasing jackpots.”. MARA’s facts are changing fast — from bitcoin blocks to megawatts and machine learning — and that’s exactly where disciplined, pattern‑recognizing traders thrive when they manage risk first.

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.

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 .

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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”