Today's Cryptocurrency Prices by Market Caps
The global cryptocurrency market cap today i $2.54T
Market Cap
$2.54T
24h Trading Volume
$85.18B
BTC Dominance
57.27%
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Latest Crypto News
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Dogecoin at a Crossroads: Hold $0.0917 or Risk Slide to $0.06 — Bitcoin Will Decide
Crypto analysts are warning that Dogecoin’s next move could go either way — a sharp drop or a fresh leg up — depending on how price action and Bitcoin behave in the weeks ahead. Bearish setup: risk to $0.06 (and lower) - In a recent X post, analyst Abundance mapped a scenario in which DOGE could fall back to roughly $0.06 before staging another long trade toward about $0.16. His chart identifies roughly $0.09176 as a key near-term support level that Dogecoin must hold to avoid sliding to that lower target. If $0.06 fails, Abundance says DOGE could be at risk of plunging as far as $0.03. - On higher timeframes he remains biased toward a move lower, explaining that untouched upside liquidity can fuel a later sweep of downside liquidity — a process that often precedes larger bullish expansion. He’s watching May as a possible local bottom window. Bullish cues and what could change the outlook - Abundance also flagged bullish possibilities: DOGE has been trading sideways, compressing price action, and time-cycle lows often mark expansion points rather than final capitulation. If Bitcoin rallies toward about $77,500, that momentum could lift Dogecoin from current levels. - On lower timeframes he sees a potential bump-and-run pattern (a common breakout setup seen across many altcoins) with tight invalidation points, offering an attractive risk-to-reward for traders who remain nimble. Smart-money demand zone and longer-term targets - Crypto analyst Ali Martinez pointed to fractal behavior in DOGE and identified a demand/accumulation band between $0.090 and $0.060. He calls this a “coiling” phase that historically precedes parabolic rallies for the meme coin. - Martinez has previously argued that Dogecoin could bottom in that same $0.06–$0.09 range before targeting a parabolic move above $1 in the next bull cycle — and controversially suggested DOGE might even reach $10 if historical cycle gains repeat. (Such long-term targets are highly speculative.) Where things stand now - At the time of reporting, Dogecoin was trading around $0.09297 and was up on the day, per CoinMarketCap. The market’s next directional clue will likely come from BTC’s price trajectory and whether DOGE can hold the critical ~$0.0917 support or falls into the $0.09–$0.06 accumulation zone analysts are watching. Bottom line: Traders should prepare for two clear scenarios — a corrective sweep toward $0.06 (or lower) that could set up a larger accumulation, or a sideways breakout boosted by a Bitcoin surge that sends Dogecoin higher from current levels. Read more AI-generated news on: undefined/news
TAO Drops 18% as Covenant AI Quits BitTensor, Founder Accuses Protocol of Centralization
BitTensor’s native token TAO tumbled after a public fallout between the protocol’s founder and one of its highest-profile builders. TAO slid about 18.5% in 24 hours as Covenant AI — a well-known subnet operator on BitTensor — announced it was leaving the network, accusing founder Jacob Steeves of behavior that, in Covenant’s view, undermines the project’s decentralization claims. What happened - Covenant AI founder Sam Dare publicly accused Steeves of centralizing control over the supposedly permissionless network. Dare said Steeves had the power to “suspend a subnet's emissions,” override an owner’s control of community channels, publicly deprecate projects without process, and use token sales as leverage — actions he called “centralized control with decentralized branding.” - Covenant said the disputes affected its three subnets (including Templar, SN3, focused on decentralized pre-training, and Basilica, SN39, focused on decentralized compute). Those subnets now appear as “deprecated” on BitTensor’s block explorer, TaoStats. - Steeves denied the allegations, saying he “does not have the ability to suspend emissions” and accusing Covenant of removing community posts and deprecating channels itself. Why it matters - Emissions are how TAO is distributed to miners and validators within subnets based on performance. If a single actor can halt or redirect those incentives, it calls into question the network’s core decentralization claim — a serious reputational and governance issue for a protocol that markets itself as permissionless. - Covenant gained major attention earlier this year for training Covenant-72B permissionlessly across dozens of contributors on commodity internet connections — a development highlighted by Chamath Palihapitiya and discussed with Nvidia’s Jensen Huang on the All-In Podcast. That coverage helped push TAO up roughly 50% in late March, from about $247 on March 19 to roughly $370 a week later. Market impact - TAO recently traded around $272.70, having given back almost all of the gains seen after Covenant-72B’s publicity. The token is down roughly 64% from its all-time high of $757 in May 2024. Covenant’s exit and the ensuing public spat put governance and decentralization back at the center of the BitTensor story. For builders and investors, the dispute raises immediate questions about who actually controls protocol levers on networks that tout decentralized architecture — and whether those governance mechanics are transparent and robust enough to prevent single-party influence. Read more AI-generated news on: undefined/news
ADA Shorts Squeezed: $500K+ Liquidations as Whales Accumulate Near $0.25
Cardano shorts are taking heat as ADA grinds near $0.25 — and traders are starting to pay the price. In the last 24 hours more than $637,500 in ADA leveraged positions were liquidated, with short positions shouldering the lion’s share. Shorts accounted for nearly 80% of the wiped-out exposure (just over $500,000), while longs absorbed roughly $135,200. That surge in forced buy-ins and stop-outs helps explain recent upward pressure despite a generally subdued market. Under the surface, exchange flows and on-chain data suggest accumulation, not capitulation. Net outflows show more ADA leaving exchanges than coming in — a pattern commonly associated with holders moving coins into private custody rather than onto markets to sell. Whale activity has also picked up: the count of wallets holding 10 million or more ADA recently climbed to a four-month high even as prices drifted lower. A four-year horizontal channel — and a decision point Technically, ADA has been trapped in a long-running horizontal channel since early 2022, oscillating between roughly $0.23 on the low end and $1.18 on the high. That structure dates back to the post-2021 peak ($3.10) and the steep decline in early 2022 that left ADA trading in a wide, sustained range. Since August 2025 a descending trendline inside that channel formed, producing lower highs and compressing price action. Today’s price sits where that descending trendline intersects the channel’s lower boundary — a classic compression point that often precedes a sharp directional move. “Ticking time bomb” call — hype and skepticism The drama ratcheted up after a viral April 9 X post from Minswap’s self-described “chief meme officer,” Mintern, shared a chart and an anonymous trader’s call that ADA is a “ticking time bomb” set to explode higher toward $1.20 by the end of the week. That target implies roughly a 380% move from current levels in under 48 hours. It’s an eye-catching scenario, but it comes with big caveats. The forecast hinges on an unnamed source; without a track record, credibility, or motive, extraordinary claims require extraordinary proof. A rapid 380% rally in two days is possible in crypto, but it’s the exception, not the norm — and it carries sizable execution and risk considerations. Bottom line Short-term price action is being shaped by forced liquidations and visible accumulation from larger holders, while technicals point to a compression that could produce a decisive breakout or breakdown. Traders should treat bold, anonymous predictions with caution and weigh position sizing and risk management carefully. Sources: exchange liquidation and flow data, Minswap/X post, TradingView chart. Read more AI-generated news on: undefined/news
Crypto Patel Maps Ethereum to Corporate Giants — Predicts $5K–$60K ETH (Visa to Nvidia)
Crypto analyst Crypto Patel has laid out a set of realistic price targets for Ethereum ahead of the next bull run — and he’s thinking big. In a recent X post, Patel mapped ETH price scenarios to equivalent market-cap benchmarks from major U.S. corporations, arguing that Ethereum has gone mainstream and could soon be competing with some of the world’s largest balance sheets. Key targets and company comparisons - Ultra bear: $5,000 — about a 2.4x rise from current levels, implying a market cap near $610 billion (roughly Visa’s valuation). - Bear: $8,000 — roughly 3.8x, implying a $965 billion market cap (approaching Walmart’s ~$1 trillion scale). - Base case: $12,000 — about 5.7x, implying a $1.45 trillion market cap (in the range of Meta’s ~$1.6 trillion). - Bull: $21,000 — more than 10x, implying a $2.54 trillion market cap (comparable to Microsoft’s ~$2.8 trillion). - Ultra bull: $30,000–$60,000 — a 14x–29x gain, implying market caps up to ~$7.3 trillion (which would eclipse companies like Nvidia at ~$4.5 trillion). Why these levels? Patel argues that Ethereum is no longer just a crypto-native project but is increasingly competing for the same institutional and retail dollar as legacy corporations and financial giants. That market-positioning is the basis for his confidence that ETH could reach the above milestones in the next cycle. Echoes from Wall Street Patel’s bullish framing is echoed by others. Tom Lee — described in the article as chairman of Ethereum treasury company Bitmine — has predicted ETH could reach $60,000 and even climb to $250,000 over time. Lee points to wider adoption of Ethereum for tokenization of real-world assets (RWAs) and the network’s role in the “future of finance” as drivers for such moves. Market snapshot At the time of writing, Ethereum trades around $2,200 and is up over the past 24 hours, according to CoinMarketCap. Bottom line Whether you view these targets as conservative or audacious, mapping ETH’s potential to the market caps of household-name companies underscores a broader narrative: as tokenization and institutional adoption advance, cryptocurrencies like Ethereum are increasingly measured against mainstream financial benchmarks — not just other digital assets. Read more AI-generated news on: undefined/news
Suspect Arrested After Molotov at Sam Altman's Home; Threats Fuel AI, Crypto Security Fears
A suspect was arrested early Friday after a Molotov cocktail was thrown at the San Francisco home of OpenAI CEO Sam Altman, prompting a fast police response and renewed concerns about threats tied to AI development. What happened - San Francisco Police Department officers responded at about 4:12 a.m. PT to a fire at Altman’s residence in the North Beach neighborhood. Investigators say an unknown man threw an incendiary device — described as a Molotov cocktail or similar — which ignited a blaze on an exterior gate before the suspect fled. - Officers later detained a 20-year-old man near OpenAI’s San Francisco headquarters after he allegedly threatened to “burn down” the building. When officers arrived, they identified him as the same person connected to the earlier attack and took him into custody. Police have not publicly named the suspect; charges are pending and the investigation is ongoing. - OpenAI confirmed the incidents to Decrypt: “Early this morning, someone threw a Molotov cocktail at Sam Altman’s home and also made threats at our San Francisco headquarters. Thankfully, no one was hurt. We deeply appreciate how quickly SFPD responded and the support from the city in helping keep our employees safe.” The company said it is assisting law enforcement. Why this matters The attack comes amid an uptick in hostile acts and threats aimed at people and infrastructure tied to AI — a trend that also touches adjacent tech sectors, including crypto companies that share office hubs and data-infrastructure vulnerabilities. Recent related incidents cited by authorities include a case in Indiana where shots were fired into the home of a city council member who had supported a data center project (a note left at the scene read “No data centers”), and a November episode when OpenAI briefly locked down its offices after a violent threat linked to an anti-AI activist. Sam Altman has not publicly commented. Authorities say the probe remains active; further details, including formal charges, have yet to be released. Read more AI-generated news on: undefined/news
Gen Z Still Uses AI — But Growing Distrust Could Push Crypto Toward Transparency
Headline: Gen Z Keeps Using AI — but Growing Disillusionment Could Shape How Tech (and Crypto) Evolves Gen Z hasn’t abandoned generative AI, but its relationship with the technology is rapidly souring, according to a new Gallup-backed survey released this week. The study — conducted Feb. 24–March 4 by the Walton Family Foundation, GSV Ventures and Gallup — polled 1,572 Americans aged 14–29 and found usage creeping up while enthusiasm collapses. Key findings - 51% of Gen Z use generative AI at least weekly (up 4% year-over-year). - But only 22% say they’re excited about AI (down 14 points) and just 18% feel hopeful (down 9 points). - Negative emotions rose: 31% report anger about AI (up 9 points). Even daily AI users showed an 18-point drop in excitement year-over-year. - Eight in 10 Gen Zers believe relying on AI to work faster will likely make learning harder over time. - Only 31% say AI helps them generate new ideas (down from 42% last year); just 37% trust it for accurate information (down from 43%). - Workplace skepticism is sharp: 48% of employed Gen Zers say AI’s risks outweigh its benefits (an 11-point jump). Only 15% view AI as a career positive. - Less than 20% would pick AI over humans for services like tutoring, financial advice or customer support; trust in AI-assisted work is 28% versus 69% for human-only output. - Education impacts: nearly three-quarters of K–12 schools now have AI policies (up 23 points in a year), and 41% of students believe many classmates misuse AI for schoolwork. A separate Gallup finding shows 42% of bachelor’s students have reconsidered their major because of AI. Experts and context Gallup senior education researcher Zach Hrynowski summarized the trend as a shift from tepid positivity to growing skepticism. Stephanie Marken, senior partner at Gallup, framed it as a generation that understands AI’s utility but is increasingly worried about its long-term costs to learning, trust and career readiness. This unease echoes prior 2024 academic work that linked heavy reliance on chatbots and other AI tools to procrastination, memory lapses and reductions in originality — effects Gen Zers in this survey explicitly fear. A young voice on the front lines: 19-year-old Rice freshman Sydney Gill told the New York Times she fears her interests could be replaced by AI within years — an anxiety that helps explain why many students are rethinking majors and career paths. What this means for crypto (and tech) Gen Z is a core demographic for crypto projects, NFT culture, Web3 services and AI-integrated fintech. Their rising distrust of AI suggests a few likely shifts for builders and investors: - Demand for transparency and verifiability will grow. Blockchain provenance, auditable models, and clear attribution could become competitive advantages. - Human-in-the-loop systems, trusted curators and on-chain reputation mechanisms may win more users than fully autonomous AI solutions. - AI-driven creative products (AI art, music generators) might face pushback unless they demonstrably preserve originality or fairly compensate human creators. - Career and education upheaval could reshape talent pipelines into crypto and AI fields, with students gravitating toward skills that AI can’t easily replicate. Bottom line Gen Z continues to use AI out of convenience — but usage is increasingly tinged with mistrust and worry about long-term cognitive, creative and career harms. For companies in crypto and beyond, the lesson is clear: adoption won’t be automatic. Regaining Gen Z’s confidence will require demonstrating real value, preserving human agency, and building systems that are transparent, accountable and education-friendly. Read more AI-generated news on: undefined/news