Crypto World
Tether USDT Set for Biggest Monthly Decline Since FTX Collapse
Tether’s USDT, the world’s largest US dollar-pegged stablecoin, is heading for its steepest monthly decline in years as large holders step up redemptions, according to blockchain data.
The circulating supply of USDt (USDT) fell by about $1.5 billion so far in February, following an $1.2 billion decrease in January, according to Artemis Analytics data reported by Bloomberg. This puts USDT on track for the biggest monthly drop in three years, weeks after the collapse of cryptocurrency exchange FTX in November 2022.
The USDT supply logged a $2 billion decrease in December 2022 after the collapse of FTX and its 150 subsidiaries sent shockwaves through the crypto industry.
The decline may signal a contraction in crypto market liquidity, as Tether’s USDT is the primary on-ramp for crypto investors. Its $183 billion market capitalization accounts for about 71% of the total stablecoin market, according to CoinMarketCap.
Cointelegraph reached out to Tether for comment on what is driving the February supply drop, but had not received a response by publication.
Related: BlackRock enters DeFi as institutional crypto push accelerates: Finance Redefined
Total stablecoin market cap flat in February
The pullback in USDT has not translated into a broader contraction across dollar-linked stablecoins.
The total market capitalization of stablecoins across all exchanges has risen 2.33% so far in February, from $300 billion to $307 billion, according to DeFiLlama data.
While the two leading stablecoins, USDT and Circle’s USDC (USDC), both decreased by 1.7% and 0.9%, respectively, the Trump-family-linked World Liberty Financial’s USD1 (USD1) stablecoin recorded a 50% increase in market capitalization over the past month and was valued at $5.1 billion as of Friday, according to DeFiLlama.
Related: Wells Fargo sees ‘YOLO’ trade driving $150B into Bitcoin and risk assets
Whales and smart money traders offload USDT, but fresh wallets stepping in
Whales, or large cryptocurrency investors, have been cutting their USDT holdings, but new participants are bringing fresh demand for the leading stablecoin.
Whale wallets sold $69.9 million USDT across 22 wallets over the past week, marking a 1.6-fold increase in the selling rate of this cohort, according to crypto intelligence platform Nansen.
The leading traders by returns, tracked as “smart money,” have also been net sellers of USDT. At the same time, new wallets created in the past 15 days bought roughly $591 million worth of USDT over the week, according to the platform.
The mixed flows highlight a market split between large holders redeeming or reallocating capital and new entrants stepping in to take the other side, even as overall stablecoin issuance remains broadly steady.
Magazine: Crypto wanted to overthrow banks, now it’s becoming them in stablecoin fight
Draft rules from the White House suggest daily fines could stack fast, signaling regulators want zero loopholes in stablecoin reward designs.
The White House is advancing strict regulatory measures that would prohibit offering yield or interest on payment stablecoins.
Proposed enforcement provisions include civil penalties of $500,000 per violation, aimed at preventing firms from structuring products that resemble yield farming on stablecoin balances.
Stablecoin Yield Bank Proposal
Details from the administration’s third ongoing meeting with crypto industry leaders and banking representatives were shared by journalist Eleanor Terrett via social media.
She reported that the latest session was smaller than the previous week’s and included representatives from Coinbase, Ripple, and a16z, along with trade groups such as the Blockchain Association and the Crypto Council. However, no individual bank representatives attended, with the sector instead represented through trade associations.
During the meeting, White House Crypto Council Executive Director Patrick Witt presented draft text that became the main focus. The language acknowledged concerns raised by financial institutions in last week’s “Yield and Interest Prohibitions Principles” document while clarifying that any restrictions on rewards would be narrow in scope.
Under the current direction, earning yield on idle stablecoin balances appears to be off the table, with discussions now centered on whether firms can offer rewards tied to certain user activities.
One crypto-side attendee told Terrett that bank concerns appear to be driven more by competitive pressure than by deposit risk. A bank-side source shared that trade groups are still pushing to include a deposit outflow study in the proposal to examine how the growth of payment stablecoins could affect these transactions.
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The same individual added that the proposed anti-evasion language would give enforcement authority to the Securities and Exchange Commission (SEC) and the Commodity Futures Trading Commission (CFTC). This provision includes civil penalties of $500,000 per violation per day for firms that attempt to bypass restrictions on paying yield on idle balances.
Discussions Continue as Industry Looks for Compromise
The crypto journalist said that public statements from attendees are once again being described as “productive” and “constructive.” People familiar with the matter noted that there was a noticeable difference in this round of talks, with the White House taking the lead in guiding the discussion instead of allowing crypto firms and banking trade groups to steer the conversation.
The latest meeting follows two previous ones where officials and industry participants debated whether the digital assets should be allowed to offer yield, the possible effects on bank deposits, and broader concerns about competitiveness and innovation if such limits are introduced.
Bank trade groups are now expected to brief their members on the latest developments and assess whether there is room for compromise on allowing crypto firms to offer stablecoin rewards. One individual also said that an end-of-month timeline for progress appears realistic, with negotiations set to continue in the coming days.
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Crypto World
Bitcoin bounces, but $72,000 remains key price level to breaking downtrend: Crypto Markets Today
The crypto market pulled back from potential peril on Thursday, with bitcoin rising 3.9% from a local low of $65,600.
Prices advanced overnight, with bitcoin adding 2% since midnight UTC, solana (SOL) gaining 2.7% and ether (ETH) rising 1.2%.
The broader downtrend, however, remains intact with bitcoin printing a series of lower lows and lower highs to give back all of the gains it made in the 12 months ended October 2025.
In the short term, bitcoin needs to break above $72,000 to confirm a bullish shift from the range-bound price action that has seen it float between support and resistance.
Spot bitcoin ETFs in the U.S. have posted their largest drawdown of this cycle, with 100,300 BTC in withdrawals since October. That equates to around $6.8 billion of extra selling pressure on an already fragile market.
Derivatives positioning:
- Market dynamics are stabilizing. Open interest rose to $15.8 billion, signaling a shift from leverage cleanup toward a firmer floor, and retail sentiment is rebounding, with funding rates flipping flat to positive across all venues and hitting 10% on Bybit and Hyperliquid.
- Institutional conviction remains anchored, with the three-month annualized basis persisting at 3%.
- The BTC options market shows a slight shift in sentiment, with 24-hour volume reaching a 51/49 split in favor of calls.
- While the one-week 25-delta skew has jumped to 17%, the implied volatility (IV) term structure remains in short-term backwardation.
- This persistent front-end spike confirms that traders are still paying a “panic premium” for immediate protection, even as longer-dated tenors stabilize near 49%.
- Coinglass data shows $179 million in 24-hour liquidations, with a 56-44 split between longs and shorts. BTC ($59 million), ETH ($46 million) and others ($16 million) were the leaders in terms of notional liquidations.
- The Binance liquidation heatmap indicates $68,400 as a core liquidation level to monitor in case of a price rise.
Token talk
- Altcoins were perky overnight, lending token MORPHO rose by more than 12% since midnight UTC and AI payment token KITE added 11%, extending its 30-day rally of 153%.
- The rotation was also seen among DeFi tokens such as jupiter (JUP), which jumped by more than 3.6% after hitting its lowest point in seven days on Thursday.
- The CoinDesk Smart Contract Platform Select Index (SCPXC) was the best-performing benchmark over the past 24 hours, posting a gain of 2.25%, closely followed by CoinDesk’s Memecoin Index (CDMEME), up by 2.2% over the same period.
- The bitcoin-dominant CoinDesk 20 (CD20) gained by 1% as crypto majors posted more restrained gains.
- Altcoins typically perform well during periods of consolidation as traders have the freedom to rotate capital into more speculative bets without risking missing a move on the likes of bitcoin, ether and XRP.
Nvidia (NVDA) is one of the most closely watched AI and semiconductor stocks in the market. Investors looking for a NVDA stock forecast for 2026–2030 are assessing whether the company’s leadership in AI chips, data-center GPUs, and accelerated computing can sustain long-term share price growth despite ongoing volatility.
In this article, we review analysts’ Nvidia target prices for 2026–2030, outline the key drivers likely to influence the NVDA stock prediction, and examine the stock’s historical performance.
Forecast Summary
2026
Algorithmic forecasting sources project NVDA trading between $185 and $289 by year-end, while Wall Street analysts are more bullish; Goldman Sachs and Morgan Stanley both target $250, Bank of America and Wedbush $275, and Cantor Fitzgerald holds a Street-high $300. The spread reflects uncertainty around hyperscaler spending sustainability and the Blackwell-to-Vera Rubin platform transition.
2027
Predictions range from around $253 to $491. Those projecting higher assume NVIDIA retains dominant market share as AI investment deepens across enterprise, sovereign, and infrastructure applications.
2028
Estimates span $315 to $750. The widening gap reflects diverging views on competition from AMD and custom hyperscaler chips, and whether the shift from AI training to large-scale inference drives sustained or diminishing demand for NVIDIA hardware.
2029
Forecasts range from $327 to over $1,000. Conservative models anticipate slowing growth as the initial AI buildout matures, while bullish sources factor in expansion into robotics, autonomous driving, and agentic AI workloads.
2030
Long-range projections suggest $392 to almost $1,100. At this horizon, forecasts hinge heavily on whether NVIDIA maintains its estimated 90%+ AI accelerator market share against intensifying competition.
What Factors Could Impact Nvidia’s Stock Price in 2026 to 2030 and Beyond?
NVIDIA is expected to maintain its technological leadership and expand its market presence from 2026 to 2030. Analysts anticipate the company will continue to dominate the AI and data centre sectors, driving robust revenue growth. NVIDIA’s innovative products, particularly its AI chips, are poised to see increasing adoption across various industries, contributing significantly to its revenue streams.
AI and Data Center Dominance
NVIDIA’s leadership in AI and data centre technologies is a key driver of its stock performance. The company’s AI chips are integral to the growth of AI applications across various industries, and its data centre segment continues to see exponential growth. In fiscal 2025, NVIDIA’s data centre revenue reached $115.19 billion – a 142% increase year-on-year – and by Q3 of 2025, the segment had hit a record $51.2 billion in a single quarter, up 66% from the prior year, as enterprises and hyperscalers continue to ramp AI-driven infrastructure.
Revenue and Earnings Growth
NVIDIA’s financial outlook is strong, with projected substantial increases in revenue and earnings. Looking ahead, analysts expect NVIDIA’s revenue to continue climbing sharply. Consensus estimates project 2026’s revenue at around $323 billion, propelled by a $500 billion order backlog for its leading Blackwell and Rubin chips. This growth is expected to be driven by the continued demand for AI solutions and the expansion of NVIDIA’s data centre capabilities.
Emerging Markets
NVIDIA’s expansion into emerging markets such as autonomous driving, Internet of Things (IoT), and blockchain technology is expected to drive significant growth from 2026 to 2030.
Autonomous Driving
NVIDIA’s DRIVE platform is becoming a cornerstone for autonomous vehicle development. Major automotive manufacturers are incorporating NVIDIA’s AI technology to enhance vehicle safety and efficiency. The autonomous vehicle market is projected to grow substantially, and NVIDIA’s technology will be integral to this growth, providing substantial revenue opportunities.
Internet of Things (IoT)
NVIDIA is also making strides in the IoT sector, where its edge computing solutions enable real-time data processing for various applications. The proliferation of IoT devices across industries such as healthcare, manufacturing, and smart cities will drive demand for NVIDIA’s powerful GPUs and AI solutions, contributing to long-term revenue growth.
Blockchain and Cryptocurrencies*
While blockchain and cryptocurrency* markets can be volatile, NVIDIA’s GPUs are crucial for mining operations. The company’s products are highly sought after for their efficiency and performance in processing complex algorithms. As the blockchain industry evolves, NVIDIA’s technology will continue to play a vital role, offering another revenue stream.
Strategic Acquisitions and Partnerships
Analysts also highlight NVIDIA’s potential for strategic acquisitions and partnerships as a growth catalyst. The company’s strong free cash flow provides the financial flexibility to pursue acquisitions that can strengthen its technological capabilities and market reach. This strategic approach is anticipated to support long-term growth and sustain its competitive edge.
Market Challenges and Competitive Landscape
While NVIDIA’s outlook is positive, the company faces challenges from competitors such as AMD, Intel, and emerging startups. Maintaining its technological edge and market leadership will require continuous innovation and effective execution of strategic initiatives. NVIDIA’s proprietary technologies, like the Cuda programming language, provide a competitive advantage, but competitors are also advancing rapidly, which will require NVIDIA to stay ahead in the innovation curve.
Analytical NVIDIA Stock Price Forecasts for 2026 to 2030 and Beyond
In a February 2026 research note, Goldman Sachs maintained a Buy rating on NVIDIA with a $250 price target, projecting 2027 revenue of $382.9 billion and earnings per share of $8.75. The bank noted that hyperscaler capex has climbed above $527 billion for 2026 and that it remains “well above the Street” on NVIDIA’s data centre revenue estimates, though analyst Jim Schneider cautioned that “stock price outperformance will hinge on revenue visibility into CY27.”
Cantor Fitzgerald analyst C.J. Muse holds the Street-high $300 price target, but considers an opportunity of a growth to $400 “given growth prospects through the end of the decade.” He said demand for artificial intelligence is surging and noted that Nvidia’s chip supply for 2026 is likely already sold out. According to Muse, the company is now accumulating orders for 2027 and 2028. Some time ago, after meetings with NVIDIA’s leadership, Muse declared “this is not a bubble,” citing hyperscaler demand that provides “significant line-of-sight into hundreds of billions of demand for the next handful of years,” with a path to $50 EPS by 2030.
Morgan Stanley’s Joseph Moore maintains a $250 target. Furthermore, the bank offers an even more optimistic scenario of growth to $330 if the plan is successfully executed, and a downside scenario of $150 if growth slows faster than expected. The Vera Rubin platform set to “raise the bar for performance” in the second half of the year.
Bank of America reiterated a Buy with a $275 target. Analysts increased their revenue forecasts for Nvidia for fiscal 2027–2029 by 7%, 2%, and 2%, respectively, bringing projected sales to $342.33 billion, $422.75 billion, and $496.3 billion. They also lifted EPS estimates by 8%, 3%, and 3% to $8, $9.98, and $11.94 over the same period.
Likewise, Wedbush Securities analyst Dan Ives also set a $275 price target, calling 2026 “an inflection point for the AI buildout” and arguing that Wall Street is “significantly underestimating” NVIDIA’s demand drivers, with the tech sector projected to rise more than 20% as AI investments deepen across software, semiconductors, and infrastructure.
NVIDIA Stock Prediction for 2026
Mid-Year 2026:
- Most Bullish Projection: 209 (WalletInvestor)
- Most Bearish Projection: 167 (LongForecast)
End-of-Year 2026
- Most Bullish Projection: 289 (LongForecast)
- Most Bearish Projection: 192 (CoinPriceForecast)
NVIDIA Stock Prediction for 2027
Mid-Year 2027:
- Most Bullish Projection: 401 (TradersUnion)
- Most Bearish Projection: 223 (CoinPriceForecast)
End-of-Year 2027:
- Most Bullish Projection: 491 (CoinCodex)
- Most Bearish Projection: 253 (CoinPriceForecast)
NVIDIA Stock Prediction for 2028
Mid-Year 2028:
- Most Bullish Projection: 593 (CoinCodex)
- Most Bearish Projection: 299 (CoinPriceForecast)
End-of-Year 2028:
- Most Bullish Projection: 750 (LongForecast)
- Most Bearish Projection: 315 (CoinPriceForecast)
NVIDIA Stock Prediction for 2029
Mid-Year 2029:
- Most Bullish Projection: 742 (CoinCodex)
- Most Bearish Projection: 326 (CoinPriceForecast)
End-of-Year 2029:
- Most Bullish Projection: 1,007 (LongForecast)
- Most Bearish Projection: 327 (CoinPriceForecast)
NVIDIA Stock Price Prediction for 2030 Onwards
While NVIDIA stock projections beyond 2030 are uncertain, a few sources offer forecasts:
Consensus
While the NVDA stock price is generally expected to rise, the scale of that growth varies. From 2030 to 2040, predictions range from $400 in 2030 to $6,000 in 2040. The gap is wide.
NVIDIA’s Price History
NVIDIA’s stock price has undergone an extraordinary transformation since its early days, moving from a graphics pioneer to a tech powerhouse. Understanding its price history offers valuable insight into the key milestones that have shaped NVIDIA’s rise in the market, from its early challenges to its recent dominance in AI and data centres. Let’s look at how NVIDIA’s stock has evolved over the years.
How It Started
NVIDIA Corporation was founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem with the vision of revolutionising computing through graphics processing technology. The founders saw the potential in a new computing model focused on enabling rich multimedia experiences for consumers.
Initially, NVIDIA operated in a highly competitive environment dominated by established companies like Intel and 3dfx. In its early years, the company focused on creating high-performance graphics cards, targeting a niche market of gamers and tech enthusiasts. Their breakthrough came with the launch of the NV1 in 1995, a pioneering graphics card that introduced innovative 3D rendering capabilities.
By the late 1990s, the company had gained enough traction to go public in 1999. However, after adjusting for several stock splits, including the most recent one in June 2024, this price is equivalent to just $0.0438 (we’ll refer to the split-adjusted price from here). These early steps marked the beginning of its journey to becoming a tech giant.
Early 2000s to 2015: Building the Foundation
Throughout the 2000s, NVIDIA expanded its product line, targeting both gaming and professional markets. Significant milestones included the release of the GeForce 256 in 1999, often considered the world’s first GPU.
The company’s stock price rallied in the dot-com bubble, cresting $0.6 at the start of 2002. After sinking to a low of $0.06 later in the year, NVDA began a long uptrend, peaking at $0.992 in 2007, just before the 2008 financial crisis sent it plummeting back to $0.144. Continuing to expand its presence in the GPU arena over the years, NVIDIA’s stock rebounded, closing 2015 at $0.824.
2016-2017: The Boom Begins
The period from 2016 onwards marked a dramatic shift for NVIDIA. Driven by the increasing demand for GPUs in gaming, data centres, and the burgeoning field of artificial intelligence (AI), NVIDIA’s stock price began to soar.
By mid-2016, NVIDIA had introduced the Pascal architecture, which significantly improved performance and efficiency. This innovation, coupled with strong financial results, saw the stock price surge to a high of $2.99 by the end of 2016, while by the end of 2017, the stock had been trading near $5.
2018-2020: Volatility and Growth
In 2018, NVIDIA’s stock experienced volatility due to a slowdown in cryptocurrency* mining, which had previously driven GPU sales. The stock price peaked at around $7.32 in October 2018 but closed the year at $3.38. Despite this, NVIDIA’s long-term prospects remained strong, bolstered by continued advancements in AI and data centre applications. By early 2020, the stock price had rebounded to above $7.
2020-Present: Surging Ahead
While the COVID-19 pandemic caused a brief blip in NVDA’s price, the event actually further accelerated demand for NVIDIA’s products as more people turned to gaming and remote work. NVIDIA’s willingness to acquire Arm Holdings in September 2020 for $40 billion highlighted its strategic expansion.
The stock price broke the $12.50 mark in mid-2020, closing 2021 at $29.41. While rising interest rates and restrictive financial conditions drove NVDA lower in 2022, to a low of $10.81, the debut of ChatGPT in late 2022 and the resulting surge in AI adoption marked a watershed moment for NVIDIA.
NVIDIA quickly became one of the world’s most valuable companies in 2023 thanks to exploding demand for its products. In May 2023, it crossed the $1 trillion market cap threshold and peaked at $50.26 in August.
NVIDIA continued to dominate the GPU and AI computing space in 2024, making a new all-time high of $148 on 7th November 2024.
Much of this bullishness has been supported by the introduction of its Blackwell architecture, designed to provide unprecedented levels of performance to AI applications and cement its leadership in the space.
The next all-time high of $149.43 was set on 6th January 2025. However, by April 2025, the stock had fallen below $100. There are several reasons for this. The US stock market had been undergoing a correction since mid-February. Many analysts suggested the market would cool off in 2025, as it would be unprecedented for it to deliver such returns for a third consecutive year. Moreover, tariff and AI-related concerns weighed on market sentiment, particularly affecting large-cap stocks. The DeepSeek case triggered a decline in NVIDIA shares. Although the market experienced a slight recovery, this incident raised doubts about the future of major AI-related companies.
However, the company soon experienced a remarkable recovery in its share price, surging to a closing price of $173.00 on 17th July 2025, marking a new all-time high. This resurgence was driven by several pivotal developments, most notably the lifting of US export restrictions on its H20 AI chips to China. The reversal of this ban, coupled with increased global capital expenditure in AI infrastructure, significantly bolstered investor confidence and contributed to the substantial rise in NVDA’s share value.
On 9th July, NVIDIA’s market capitalisation reached an unprecedented $4 trillion, making it the first company to achieve this milestone. Despite ongoing concerns regarding customer concentration and potential competition from emerging players, NVIDIA’s strategic initiatives and market leadership reinforced its position in the technology sector, cementing its status as a key player in the AI revolution.
It took less than four months for the company to achieve another milestone — on 29th October 2025, NVIDIA reached $5.03 trillion in market value. Moreover, NVDA stocks continued to set new all-time highs. Despite analysts’ warnings about a potential AI bubble, the stock’s rally was supported by a massive order backlog, strategic partnerships with the US government, and expansion into the telecommunications sector.
Since then, however, NVDA has pulled back from its all-time high of $212.19, set on 29th October 2025. The stock traded sideways through late 2025 and into early 2026, closing the year at around $186 before dipping below $183 in mid-February. Broader market caution and growing scrutiny over whether hyperscaler AI spending can deliver sustainable returns have weighed on sentiment.
Now, let’s take a look at analytical NVIDIA share price forecasts.
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The Bottom Line
NVIDIA’s future looks promising with continued growth in AI, data centres, and emerging technologies. Price outlooks are bold, and NVIDIA will certainly remain an interesting player to watch in the coming years. However, traders and investors should be very careful and implement risk management tools.
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FAQ
What Will NVIDIA Stock Be Worth in 2026?
Most algorithmic forecasting sources project NVDA trading only slightly above its current price of ~$187 by mid-2026, before climbing to between $190 and $290 by year-end, suggesting meaningful second-half momentum driven by continued AI infrastructure spending.
Where Will NVIDIA Stock Be in 5 Years Prediction?
Analytical five-year NVDA forecasts vary widely. Conservative algorithm-based models place the stock between $350 and $500 by 2030, while more bullish projections see it approaching $800–$1000, largely depending on how deeply AI adoption penetrates autonomous driving, IoT, and enterprise computing.
Can Nvidia Hit $300?
Some Wall Street analysts already hold 2026 price targets near or at $300, and most algorithmic forecasting models project the stock reaching this level during 2027. However, reaching $300 would still require sustained revenue growth and continued investor confidence in AI demand.
Is Nvidia Stock Expected to Go Up?
The broad consensus among analysts and forecasting services is bullish, with the overwhelming majority of Wall Street ratings currently at Buy or Strong Buy. That said, competition from AMD and custom AI chips, potential demand cyclicality, and elevated valuations all represent risks to the upside case.
Can Nvidia Hit $500 a Share?
Most long-range forecasting models expect NVDA to reach $500 sometime between 2028 and 2030, supported by projected earnings growth across AI, data centres, and next-generation computing platforms. The timeline depends heavily on whether NVIDIA can maintain its dominant market share against intensifying competition.
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Democrats in the US House of Representatives are pressing Treasury Secretary Scott Bessent over how regulators are handling World Liberty Financial’s bid for a national trust bank charter to issue a dollar-backed token.
In a letter on Thursday, 41 House Financial Services Committee Democrats led by Representative Gregory Meeks cited systemic risk, foreign ownership and potential political pressure on the bank chartering process.
They asked Bessent to explain what safeguards exist to prevent foreign government officials or politically connected investors from using the charter process to gain leverage over the US financial system.
The lawmakers pointed to reporting that a senior royal from the United Arab Emirates quietly acquired almost half of World Liberty Financial for about $500 million, including a reported $187 million flowing to Trump-affiliated entities, while the company pursued a national trust bank charter with the Office of the Comptroller of the Currency (OCC).
They argued that the combination of digital asset trust structures, untested liquidity and resolution frameworks and foreign political interests raised questions that regulators “cannot afford to sidestep.”
Related: White House floats limited stablecoin rewards in third crypto, bank meeting
Democrats also questioned whether Executive Order 14215, which they say pulled traditionally independent financial regulators into closer White House oversight, could compromise the OCC’s autonomy in deciding on World Liberty’s application.
The letter asks Bessent to detail the role of the White House, the Office of Management and Budget, and the Treasury Department in OCC charter decisions, and to respond in writing by Thursday.
World Liberty Financial’s high profile
The letter arrives as World Liberty Financial and other Trump-aligned crypto initiatives raise their profile in Washington and on Wall Street, including through a well-attended crypto event at Trump’s Mar-a-Lago club on Wednesday that drew crypto and traditional finance executives, including Coinbase CEO Brian Armstrong, Binance co-founder Changpeng Zhao and Goldman Sachs CEO David Solomon.
In the run-up to the event, the WLFI token associated with the Trump family-aligned platform recorded a 23% gain as organizers promoted the event as a venue to spotlight World Liberty’s roadmap and its role in the broader crypto market.
No bailout of “cryptocurrency billionaires”
Separately, Senate Banking Committee Democratic Senator Elizabeth Warren urged Bessent and Federal Reserve Chair Jerome Powell on Wednesday not to deploy taxpayer-backed support to stabilize crypto markets. She warned that any bailout of “cryptocurrency billionaires” would create a moral hazard and shift losses from large investors onto taxpayers.
Warren’s letter framed potential rescue measures for major crypto firms and investors as a test of whether policymakers would extend bank-style backstops to the digital asset sector, as regulators weigh new charters and oversight for crypto-linked institutions.
Big Questions: Is China hoarding gold so yuan becomes global reserve instead of USD?
TLDR
- Opendoor (OPEN) stock jumped up to 16.5% after-hours Thursday after Q4 earnings
- Q4 revenue of $736 million beat Wall Street’s $595 million estimate by 23.7%
- Home acquisition volume surged 46% quarter-over-quarter
- Adjusted EPS of -$0.07 beat the -$0.09 analyst estimate
- Management targets breakeven adjusted net income by end of 2026
Opendoor stock jumped as much as 16.5% in after-hours trading Thursday after Q4 2025 earnings topped revenue estimates by a wide margin and home acquisition volume accelerated sharply.
Revenue came in at $736 million against a Wall Street estimate of $595 million — a 23.7% beat. Year-on-year revenue was still down 32.1%, reflecting the company’s ongoing reset, but investors chose to focus on the forward momentum.
Opendoor Technologies Inc., OPEN
Adjusted EPS of -$0.07 also beat the -$0.09 consensus estimate, clearing expectations by roughly 25%.
Acquisition Volume and Inventory Turns Drive Optimism
The headline number for many investors was home acquisition volume, up 46% quarter-over-quarter. That points to Opendoor pushing back toward scale after a prolonged pullback.
The share of homes sitting on the market for more than 120 days dropped to 33%, down from 51% in Q3 2025. Faster inventory turns reduce capital drag and are central to the company’s recovery plan.
Free cash flow swung to positive $67 million from negative $83 million a year earlier. Fixed operating expenses fell to $35 million, a sign of leaner operations taking hold.
CEO Kaz Nejatian credited structural changes in how the business runs. “These results reflect structural improvements in how we operate — with more accurate pricing, faster inventory turns, and disciplined selection,” he said.
The company’s “Cash Plus” program now makes up 35% of weekly volume, which Opendoor sees as a key tool for improving capital efficiency.
Q1 2026 Guidance
For Q1 2026, Opendoor guided for an adjusted EBITDA loss of $30 million to $35 million. The midpoint of -$32.5 million beat analyst estimates of -$37.4 million.
Revenue is expected to drop around 10% in the upcoming quarter. The company has been clear it is not managing for short-term targets.
“We’re focused on making the right long-term decisions to rebuild Opendoor rather than managing to short-term guidance,” management said.
Homes sold in Q4 totaled 1,978, down 844 year-on-year. Analysts expect revenue to grow around 7% over the next 12 months, with full-year adjusted EPS improving from -$0.25 to -$0.21.
The stock was trading near $5.36 after the release, with a market cap of around $4.41 billion.
By Francisco Rodrigues (All times ET unless indicated otherwise)
Bitcoin has gained 2% in the past 24 hours, scrambling to top $68,000 after a selloff earlier this month. That’s done little to ease sentiment, with the “Fear and Greed” index remaining at the “extreme fear” level for a 20th straight day.
André Dragosch, the head of research in Europe at Bitwise, said consolidation is expected after the crash, which saw bitcoin drop to a $60,000 low.
“Apart from Covid, bitcoin doesn’t usually show V-shaped recoveries after strong capitulations,” he told CoinDesk. “The most likely case is that we continue to move sideways to down.”
Still, Dragosch pointed to signs for optimism. Prediction markets now place the odds of the U.S.’s Clarity Act passing in 2026 near 80%. He described the bill as a major catalyst for alternative tokens such as ether (ETH) and solana (SOL). Bitwise’s internal Cryptoasset Sentiment Index registered neutral, he added.
“On the macro front, bitcoin continues to exhibit significant ‘discounts’ with respect to global money supply, gold, and the overall macro growth outlook. Bitcoin also exhibits a significant undervaluation relative to global Bitcoin ETP flows,” Dragosch said. “ETP flows are still relatively weak, but once risk appetite and flows return, this suggests we could see a significant catch-up in bitcoin.”
Caution lingers, however. Data from CryptoQuant shows large bitcoin holders have moved coins onto Binance at record levels. Such transfers often signal intent to sell, increasing the supply on spot markets and potentially weighing on prices.
Dragosch rejected concerns bitcoin may be a “canary in the macro coal mine,” signaling tighter liquidity and rising recession risk. The U.S. yield curve and other forward indicators suggest continued money supply growth, he said. Global liquidity is expanding at more than 10% a year, a backdrop that has not typically aligned with extended bitcoin bear markets, he added.
Indeed, prediction markets have reduced the odds of a recession in the U.S. this year. The chance of that happening plunged from over 40% in mid-2025 to just above 20%.
The crypto market may nevertheless see volatility rise into the weekend. Later today, U.S. core PCE index data is released, which could provide clues on future Fed policy direction.
Traders are bracing for a tight rise from previous figures. While higher inflation traditionally supports the case for scarce assets, a hawkish reaction from the Fed could drive the dollar higher, further pressuring risk assets into the weekend. Stay alert!
Read more: For analysis of today’s activity in altcoins and derivatives, see Crypto Markets Today
What to Watch
For a more comprehensive list of events this week, see CoinDesk’s “Crypto Week Ahead“.
- Crypto
- Macro
- Feb. 20. 8:30 a.m.: U.S. Core PCE price index MoM for December est. 0.4% (Prev. 0.2%); YoY est. 2.9% (Prev. 2.8%)
- Feb. 20, 8:30 a.m.: U.S. GDP growth rate QoQ Adv for Q4 est. 3. (Prev. 4.4%)
- Feb. 20, 9:45 a.m.: U.S. S&P Global manufacturing PMI flash for February est. 52.6 (Prev. 52.4).
- Feb. 20, 10 a.m.: U.S. Michigan consumer sentiment final for February est. 57.3 (Prev. 56.4)
- Earnings (Estimates based on FactSet data)
Token Events
For a more comprehensive list of events this week, see CoinDesk’s “Crypto Week Ahead“.
- Governance votes & calls
- Aavegotchi DAO is voting to consolidate assets from depleted wallets into the Liquidity wallet to simplify operations. Voting ends Feb. 22.
- Fluid DAO is voting to withdraw 1 million GHO and 1 million FLUID from the treasury to the Team Multisig to fund JupLend rewards and protocol incentives. Voting ends Feb. 22.
- GMX is voting on a proposal to implement tiered trading fee discounts for stakers and a staker-weighted trading leaderboard. Voting ends Feb. 22.
- Unlocks
- Feb. 20: LayerZero (ZRO) to unlock 5.98% of its circulating supply worth $48.33 million.
- Feb. 20: Kaito (KAITO) to unlock 10.64% of its circulating supply worth $10.77 million.
- Token Launches
Conferences
For a more comprehensive list of events this week, see CoinDesk’s “Crypto Week Ahead“.
Market Movements
- BTC is up 1.97% from 4 p.m. ET Thursday at $68,220.42 (24hrs: +1.98%)
- ETH is up 1.1% at $1,969.19 (24hrs: +0.12%)
- CoinDesk 20 is up 1.5% at 1,960.80 (24hrs: +1.14%)
- Ether CESR Composite Staking Rate is up 2 bps at 2.83%
- BTC funding rate is at -0.0047% (-5.1936% annualized) on Binance
- DXY is unchanged at 97.95
- Gold futures are up 0.97% at $5,046.00
- Silver futures are up 3.9% at $80.66
- Nikkei 225 closed down 1.12% at 56,825.70
- Hang Seng closed down 1.1% at 26,413.35
- FTSE is up 0.69% at 10,700.09
- Euro Stoxx 50 is up 0.48% at 6,088.42
- DJIA closed on Thursday down 0.54% at 49,395.16
- S&P 500 closed down 0.28% at 6,861.89
- Nasdaq Composite closed down 0.31% at 22,682.73
- S&P/TSX Composite closed up 0.61% at 33,594.98
- S&P 40 Latin America closed up 0.83% at 3,738.74
- U.S. 10-Year Treasury rate is down 0.4 bps at 4.071%
- E-mini S&P 500 futures are up 0.2% at 6,890.75
- E-mini Nasdaq-100 futures are up 0.29% at 24,930.00
- E-mini Dow Jones Industrial Average Index futures are up 0.12% at 49,516.00
Bitcoin Stats
- BTC Dominance: 59.04% (+0.4%)
- Ether-bitcoin ratio: 0.02883 (-0.93%)
- Hashrate (seven-day moving average): 1,046 EH/s
- Hashprice (spot): $29.88
- Total fees: 2.36 BTC / $157,285
- CME Futures Open Interest: 119,935 BTC
- BTC priced in gold: 13.5 oz.
- BTC vs gold market cap: 4.54%
Technical Analysis
- The chart shows bitcoin’s weekly price moves against the dollar.
- BTC/USD weekly is still trading at its 200-week exponential moving average, waiting for a confirmation by the end of the week.
- There are no clear RSI divergences or signs of a bottom so far.
Crypto Equities
- Coinbase Global (COIN): closed on Thursday at $165.94 (+1.15%), +1.98% at $169.23 in pre-market
- Circle Internet (CRCL): closed at $61.92 (-1.95%), +2.08% at $63.21
- Galaxy Digital (GLXY): closed at $21.63 (-0.46%)
- Bullish (BLSH): closed at $32.37 (+1.63%), -1.05% at $32.03
- MARA Holdings (MARA): closed at $7.96 (+6.13%), +1.63% at $8.09
- Riot Platforms (RIOT): closed at $16.22 (+4.71%), +1.36% at $16.44
- Core Scientific (CORZ): closed at $17.98 (+4.11%)
- CleanSpark (CLSK): closed at $9.82 (+5.93%), +1.43% at $9.96
- CoinShares Valkyrie Bitcoin Miners ETF (WGMI): closed at $40.69 (+1.62%)
- Exodus Movement (EXOD): closed at $10.42 (+5.47%)
Crypto Treasury Companies
- Strategy (MSTR): closed at $129.45 (+3.39%), +2.48% at $132.66
- Strive (ASST): closed at $8.12 (+0.87%), +0.99% at $8.20
- SharpLink Gaming (SBET): closed at $6.80 (+3.03%)
- Upexi (UPXI): closed at $0.67 (-3.33%), +3.48% at $0.69
- Lite Strategy (LITS): closed at $1.10 (+0.00%)
ETF Flows
Spot BTC ETFs
- Daily net flows: -$165.8 million
- Cumulative net flows: $53.91 billion
- Total BTC holdings ~1.26 million
Spot ETH ETFs
- Daily net flows: -$130.1 million
- Cumulative net flows: $11.55 billion
- Total ETH holdings ~5.73 million
Source: Farside Investors
While You Were Sleeping
XRP held steady near $1.42 as volatility dropped to levels last seen before a major 2024 rally, raising questions about whether the downtrend is exhausting.
News Background
- XRP has declined roughly 61% from its all-time high during the current stretch of market turbulence, but recent price action suggests the selloff may be slowing. Losses have moderated into consolidation, with small gains across shorter timeframes replacing sharp directional moves.
- Notably, XRP’s historical volatility has fallen to 96, matching levels last seen in June 2024 — a period that marked the bottom of a prior downtrend before a rally into November.
- The compression has fueled speculation that XRP may be entering a similar base-building phase.
- Some analysts point to parallels with earlier cycle structures, including the extended consolidation that preceded the 2017 breakout.
Price Action Summary
- XRP slipped 0.14% to $1.42
- Price tested and held support near $1.39
- Volume surged nearly 94% above average during the breakdown
- Recovery stalled near $1.428–$1.431 resistance
Technical Analysis
- The session’s key moment came when XRP tested $1.3915 on heavy volume before stabilizing. While the bounce completed a 38.2% retracement, momentum faded as price approached $1.44, the daily pivot and near-term ceiling.
- Structure remains cautious below $1.44–$1.45, but the successful defense of $1.39 suggests sellers are losing urgency. Declining volume during consolidation points to compression rather than fresh distribution.
What traders say is next?
- Traders view this as a compression setup.
- If XRP reclaims $1.44, it opens room toward $1.50 and potentially $1.62.
If $1.39 breaks, downside risk shifts toward $1.35. - With volatility near prior cycle lows, the next decisive move may be less about direction now — and more about how long this compression can hold before expansion resumes.
According to media reports, Bitcoin’s fall from its all-time high in October 2025 to February’s low near $60k triggered the largest outflow from spot Bitcoin ETF funds since their launch in January 2024.
Glassnode data show that more than 100,000 BTC were withdrawn from these funds in January alone, though the total remains substantial, with roughly 1.25 million coins still held on balance sheets.
Analysing trading volumes on Coinbase, however, reveals a trend of declining activity (as indicated by the arrow). From a long-term perspective, this may suggest the ETF outflow trend is easing, potentially allowing the market to resume its multi-year uptrend. How plausible is this scenario?
Technical Analysis of BTC/USD
Bitcoin’s price fluctuations are currently compressing between the thick lines on the chart – a sign of market stabilisation, where supply and demand appear balanced.
Notable bullish patterns include:
- A double bottom (A1–B1) on 11–12 February, aligning with the lower boundary of the long-term descending channel.
- A second double bottom (A2–B2) on 18–19 February, featuring a slightly lower secondary low.
In the short term, traders might anticipate a rebound towards the upper boundary of the triangle. While the descending channel remains relevant, a decisive bullish break of this consolidation pattern would signal improving sentiment in the crypto market following February’s panic selling.
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Artificial Intelligence is no longer an experimental capability; it is redefining how businesses generate revenue, manage risk, optimize operations, and compete at scale. In 2026, the impact of AI on businesses is visible in faster decision cycles, predictive supply chains, autonomous customer engagement systems, and data-driven product innovation. Intelligence is no longer layered onto systems; it is becoming the system itself.
Enterprises that embed AI into their operational core are compressing costs, accelerating time-to-market, and increasing customer lifetime value. Those who hesitate remain trapped in fragmented data environments and reactive decision models. The competitive divide is widening not because of access to AI tools, but because of how strategically AI is integrated into enterprise architecture, often with the support of an experienced AI Development Company capable of aligning technology with measurable business outcomes.
This guide breaks down the real impact of AI on business performance, from data maturity and workflow orchestration to ROI measurement and autonomous operations. It provides a structured roadmap for leaders who want to move beyond pilots, scale intelligently through comprehensive AI Development Services, and convert AI investment into a measurable enterprise advantage.
1. AI in 2026: From Pilots to Production – The Adoption Reality Check
Despite massive hype and rapid investment growth, the journey from pilot projects to enterprise-wide AI adoption remains uneven.
- Gartner forecasts global AI spending will exceed $2.5 trillion in 2026, with AI services, infrastructure, and software driving massive enterprise budgets.
- Research shows that only a small percentage of companies have AI fully embedded in core workflows, with as few as 5% deriving significant value from their deployments, despite broad adoption efforts.
- IBM’s Global AI Adoption Index reports 42% of enterprises actively deploying AI, while another 40% remain in the exploration stage.
This gap between adoption and actual impact highlights a defining theme of 2026: AI is no longer optional, but far from fully realized.
2. Why Many AI Projects Fall Short: The “Execution Divide”
Data shows that enterprises frequently struggle to scale AI beyond proof-of-concept (POC) due to:
1. Lack of AI-Ready Data
AI systems are only as effective as the data that fuels them. Fragmented, noisy, or siloed data pipelines undermine model accuracy and enterprise insight generation.
2. Misalignment of Strategy with Business Outcomes
Executives often invest in technology first and strategy second, leading to solutions that don’t solve real business problems.
3. Organizational Resistance
AI transformations require process redesign, workforce shift, and governance maturity, not just technology. Without aligning people and workflows, most initiatives stall.
4. Overemphasis on Tools vs. Outcomes
Although 78% of organizations report using AI, only a fraction derive a measurable business impact because their workflows remain unchanged.
This execution gap is why many teams invest heavily but see little strategic value.
3. The New Enterprise AI Playbook: From Vision to Scale
To succeed in 2026, enterprises must follow a structured transformation path:
Stage 1: Discovery & Proof of Value
- Define specific business outcomes (e.g., cost reduction, revenue uplift, customer personalization).
- Identify high-impact use cases (e.g., automated claims processing, dynamic pricing models).
Stage 2: Integration & Orchestration
- Enterprises partnering with an AI Development Company for Business are embedding generative models directly into core operational workflows.
- Establish robust data governance frameworks.
Stage 3: Optimization & Scaling
- Transition from discrete models to a connected AI ecosystem that powers cross-functional intelligence.
- Track ROI consistently and build feedback loops for continuous improvement.
Stage 4: Autonomous Operations
- Mature organizations will reach a point where AI proactively manages resource allocation, pricing, and risk response.
According to Gartner’s 2026 Enterprise AI Outlook, the maturity of enterprise AI outcomes is increasingly determined by data readiness, seamless process integration, and clearly measurable ROI rather than by technology expenditure or model scale alone.
4. Demonstrable ROI: How AI Delivers Real Business Value
The most successful companies measure AI through three ROI dimensions:
Direct ROI
- Operational cost reduction
- Efficiency gains via automation and workflow augmentation
Indirect ROI
- Increased customer lifetime value through personalization
- Better customer satisfaction via AI-driven experiences
Strategic ROI
- Shorter product cycles
- Faster innovation via predictive insights and AI-augmented R&D
Organizations leveraging structured AI Development Services ensure that AI initiatives are aligned with measurable business objectives, linking model performance directly to revenue growth, operational efficiency, and strategic impact.
Recent enterprise research from Deloitte finds that AI delivers measurable outcomes such as enhanced customer relationships, operational efficiency, and increased revenue potential, though many companies are still in early phases of realization.
5. Generative AI: The New Enterprise Advantage
Generative AI has evolved from experimental technology into a critical enterprise capability. Unlike traditional AI that analyzes data, generative AI can create content, simulate scenarios, generate code, draft reports, design workflows, and support strategic planning. Enterprises partnering with an AI Development Company for Business embed these models directly into daily operational workflows across customer service, finance, marketing, procurement, and knowledge management.
Enterprises are deploying task-specific AI agents that handle repetitive, cognitive workloads, automate multi-step processes, support decision-making, and continuously optimize through real-time feedback. By engaging AI software developers, companies move beyond pilots toward integrated, enterprise-scale systems. These enterprise deployments are strengthened through structured AI software development services that ensure scalability, governance alignment, and long-term system resilience.
The result is a structural shift from standalone AI tools to digital workforce augmentation. Generative AI, implemented through AI-Powered Development Company expertise, becomes a strategic foundation that enhances productivity, accelerates execution, and transforms organizational performance into a scalable competitive advantage.
6. The Strategic Benefits of Partnering with an AI Development Company
Implementing AI at scale is not simply a technical exercise; it is an architectural transformation that touches data, workflows, governance, and long-term business strategy. Organizations that attempt to build advanced AI capabilities in isolation often encounter scalability bottlenecks, integration gaps, and unclear ROI.
Enterprises evaluating the best AI development companies prioritize scalability, governance maturity, architectural depth, and measurable ROI over experimental capability alone. Partnering with an experienced AI Development Company provides structured expertise that strengthens execution quality, accelerates deployment maturity, and ensures measurable business outcomes.
Deep Technical Architecture Capabilities
Enterprise-grade AI requires more than model deployment. It demands expertise in machine learning pipelines, large language models, agent-based orchestration, distributed systems, and secure infrastructure. Specialized AI teams understand how to design systems that are scalable, modular, and production-ready, not just experimental prototypes.
Data & Workflow Alignment
AI performance is fundamentally dependent on data quality and system integration. Strategic partners establish governed data pipelines, eliminate silos, and ensure models are embedded directly into operational workflows. This alignment transforms AI from a disconnected layer into a core operational engine.
Outcome-Driven Execution
Successful AI initiatives begin with business objectives, not algorithms. Experienced AI partners define clear performance metrics, build measurement frameworks, and align deployments with revenue growth, cost efficiency, and customer experience improvements. This approach ensures that AI investments translate into tangible enterprise value.
Governance, Risk, and Responsible AI
Enterprise deployment requires structured oversight. From model bias mitigation to compliance frameworks, data privacy safeguards, and auditability, governance must be engineered from the start. Strong AI partnerships integrate risk management and ethical design principles into system architecture, thus reducing exposure and ensuring long-term sustainability.
7. Workforce Transformation: The New Enterprise Skill Imperative
Artificial Intelligence is not merely optimizing workflows; it is redefining how work itself is structured, executed, and measured. As automation expands across cognitive and operational domains, roles are not simply being replaced; they are being redesigned. Organizations leveraging AI Development Services ensure that AI adoption is aligned with workforce transformation and skill development.
Across industries, millions of positions are evolving as AI systems absorb repetitive analysis, data processing, and routine decision-making tasks. Forward-looking enterprises engage ai software developers to equip employees with AI fluency, embedding it into performance metrics, leadership expectations, and career development pathways.
The emerging model is human enhanced by machine intelligence. Competitive advantage will depend not only on AI-Powered Development Company expertise but also on building intelligent teams capable of leveraging AI systems at scale.
Start Your Enterprise AI Transformation with Confidence
8. Building the AI-First Enterprise: The Future of AI Development Services
Over the next decade, AI will move beyond workflow support and become the structural backbone of enterprise design. Intelligence will be embedded across finance, operations, marketing, supply chains, product development, and risk management, not as a feature, but as core infrastructure built with AI Development Services.
In AI-first organizations:
Decision cycles compress dramatically
Real-time data modeling enables dynamic forecasting, adaptive pricing, automated risk scoring, and continuous operational recalibration.
Customer engagement becomes predictive rather than reactive
Behavioral modeling anticipates needs, optimizes touchpoints, and adjusts experiences across channels in milliseconds.
Innovation becomes systematic
AI-assisted research, simulation environments, and rapid prototyping reduce development timelines and increase experimentation velocity.
Competitive strength compounds over time
Self-improving systems continuously refine algorithms using proprietary data, creating intelligence loops that are difficult for competitors to replicate.
The Standard for Modern Enterprise Excellence
Artificial Intelligence has moved from optional experimentation to operational expectation. Its impact on business performance is seen in margin expansion, faster decision-making, improved capital allocation, and measurable revenue growth. Enterprises must leverage AI Development Services to strengthen data foundations, align AI initiatives with financial metrics, embed governance, and build workforce capability for AI collaboration.
Organizations that treat AI as core infrastructure and partner with a trusted AI Development Company will outperform peers in efficiency, innovation speed, and customer value creation. Supported by custom AI development, businesses can institutionalize AI today to shape tomorrow’s market dynamics. Antier empowers enterprises with scalable, secure AI and blockchain solutions, driving measurable ROI through expert AI-Powered Development Company services with the dedicated support of experienced professionals guiding every stage of innovation and implementation.
Frequently Asked Questions
01. What is the current impact of AI on businesses as of 2026?
By 2026, AI is redefining business operations through faster decision cycles, predictive supply chains, autonomous customer engagement, and data-driven product innovation, becoming integral to enterprise systems.
02. Why do many AI projects fail to deliver significant value?
Many AI projects fall short due to a lack of AI-ready data, as fragmented and siloed data pipelines hinder model accuracy and limit enterprise insights.
03. How can enterprises effectively integrate AI into their operations?
Enterprises can effectively integrate AI by embedding it into their operational core, leveraging comprehensive AI development services, and aligning technology with measurable business outcomes to enhance performance and competitiveness.
CME Group will run cryptocurrency futures and options on CME Globex around the clock starting May 29, 2026, after recording $3 trillion in notional volume across its crypto derivatives in 2025.
Why it matters:
- Traders can react to breaking news on weekends, eliminating the price gap risk that builds when crypto markets move while CME is closed.
- Institutions managing crypto exposure via CME derivatives gain continuous hedging access, reducing overnight risk accumulation.
- The move signals CME’s direct response to demand from TradFi firms scaling into digital assets.
The details:
- CME Group announced the 24/7 schedule on February 19, 2026, pending regulatory approval, per an official press release.
- Crypto derivatives average daily volume (ADV) hit 407,200 contracts year-to-date in 2026, up 46% year-over-year.
- Futures ADV reached 403,900 contracts, up 47% year-over-year, per CME Group data.
- Average daily open interest stands at 335,400 contracts, up 7% year-over-year.
- CME confirmed the launch date of May 29, 2026, via its official X account.
The big picture:
- CME’s 2025 crypto notional volume of $3 trillion confirms institutional demand for regulated derivatives now rivals spot market activity.
- The 24/7 schedule aligns CME with native crypto exchanges, which have always traded continuously, narrowing a structural gap between TradFi and DeFi.
- Continuous trading on a regulated venue could pull institutional volume away from offshore perpetual futures markets.
The post CME Launches 24/7 Crypto Futures Trading Starting May 29 appeared first on BeInCrypto.
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