Crypto News

New AI billionaires in the US and China added a combined $87 billion in wealth during the first nine months of 2026, bringing their total net worth to $221 billion, according to Bloomberg Billionaires Index data. The AI billionaires include 12 Americans, whose combined wealth rose $44 billion to $132 billion, and five Chinese founders, whose wealth increased $43 billion to $89 billion. Seven of the US newcomers co-founded Anthropic, which was valued at about $965 billion in a June funding round. Chinese names include MiniMax’s Yan Junjie and DeepSeek’s Liang Wenfeng. The gains came amid a wider tech-sector surge: about 100 technology figures on Bloomberg’s top 500 list added a record $845 billion through September 30, while non-tech fortunes fell by $62 billion. Americans accounted for 94% of net gains, and all of the world’s ten richest people were based in the US for the first time since Bloomberg began tracking the ranking in 2012. The figures highlight the scale of AI-related wealth creation but do not indicate a direct change in cryptocurrency market fundamentals.

Yemen’s armed forces say they carried out 736 strikes on Houthi positions in Taiz over 24 hours, targeting a command-and-control centre and heavy-weapons depots. The claims have not been independently verified. The reported Houthi strikes come amid ongoing conflict in the region and could affect expectations for a Houthi advance towards Aden. On Polymarket, the odds of Houthi forces entering Aden by 31 October stood at 1.4%; the article provides no trading-volume data or confirmed change in those odds. The development has no direct connection to a specific cryptocurrency, so its market relevance is mainly through broader geopolitical risk sentiment.

Anthropic is reportedly targeting a mid-November 2026 IPO, aiming to begin trading before the US Thanksgiving holiday on November 26. The company has not confirmed a listing date, exchange or ticker, and its earlier September target has slipped. Polymarket traders reportedly put the odds of the stock using the ticker $ANT at 65%, up from about 44% on October 24. The proposed ticker is an equity symbol, not a confirmed cryptocurrency token. Reports say Anthropic filed a draft S-1 with the SEC on June 1. Talk around the offering places its potential valuation at $1.5 trillion to $2 trillion, with a possible $75 billion to $100 billion raise. Estimated 2025 revenue was about $4.6 billion, compared with $386 million in 2024. Reports also cite a $42 billion net-loss figure, including accounting adjustments; investors will need the public prospectus to assess cash burn. The IPO could give public-market investors access to a major AI company, but its timing and valuation remain uncertain. Traders are watching for the public S-1, confirmed ticker and exchange, final price range, and whether the November target holds.

Bitcoin holders are increasingly using their holdings as collateral for loans or seeking yield instead of selling, according to Xapo Bank CEO Seamus Rocca. He says the shift reflects a more mature market, with long-term investors looking for ways to generate income and accumulate more Bitcoin. About 45% of Xapo customers use a feature that pays interest on dollar savings in BTC. Xapo advertises a variable base rate of 4.1%, with a limited introductory rate of 4.6% for eligible new members. A separate Bitcoin credit fund targets returns of up to 4% annually and carries credit and counterparty risks. Rocca says early holders are split between taking profits and borrowing against Bitcoin to maintain market exposure. He also expects greater institutional investment over time and said reduced geopolitical and regulatory uncertainty could help Bitcoin reach $250,000 in two to three years. That is his forecast, not a guaranteed outcome. For traders, the trend points to expanding demand for Bitcoin-backed financial services, while borrowing still leaves holders exposed to price declines and debt-related risks.

Bitcoin fell below $80,000, triggering the liquidation of two large Bitcoin long positions on Hyperliquid. The positions were valued at a combined $8.05 million, and the traders incurred realised losses of $278,000, according to data monitored by Onchain Lens. The liquidations highlight the risks of leveraged Bitcoin trading during sharp price declines.

Saudi Civil Defense said shrapnel fell in the Mecca and Medina regions after Saudi air defences intercepted two ballistic missiles launched by Yemen’s Houthi militia. The missiles were reportedly aimed at Taif and Yanbu. No casualties or damage were reported in the article. The incident comes amid renewed Saudi-Houthi tensions after a period of relative calm following a UN-mediated truce in 2022. The Houthi missile interceptions point to increased regional military activity. For crypto traders, the report has no direct link to digital assets, but further escalation could affect broader risk sentiment and energy markets.

Bitcoin remains exposed to broader risk-off sentiment, according to QCP, as AI-sector credit concerns and rising oil prices weigh on risk assets ahead of the next FOMC meeting. QCP cited CoreWeave’s five-year credit default swap spread at about 1,128 basis points, far above Oracle’s 30 basis points, as a sign of concern over AI infrastructure financing. Bitcoin has continued to move in line with equities rather than acting as a safe haven. Brent crude reached $114 a barrel after renewed attacks on Saudi infrastructure heightened supply concerns. While Middle East crude exports have recovered, shipping costs and insurance premiums remain elevated. QCP warned that expensive energy and AI-related debt stress could keep inflation high and limit the Federal Reserve’s ability to cut rates. Markets see little chance of an October rate hike, but near-term rate cuts are also not expected. This combination could keep Bitcoin and other risk assets volatile.

A Polymarket trader with more than $1.1 million in reported losses bought $50,000 worth of shares betting that AL would beat TES in the League of Legends World Championship Swiss stage. The trader paid an average of 64 cents per share and was showing an unrealized loss of about $4,400 when the position was reported. The best-of-one match is part of the 2026 tournament’s second Swiss-stage round. Both teams lost their opening matches and entered the fixture in the 0-1 group. The trade highlights activity in Polymarket prediction markets, but does not indicate the match result.

OpenAI’s annualised revenue run rate reached about $40 billion in July 2026, with enterprise subscriptions and API sales accounting for more than half, according to CFO Sarah Friar. The figures highlight why OpenAI continues to sell model access by token rather than take responsibility for customers’ business outcomes. The article points to strong model performance and enterprise deployments, including Canva’s reported use of OpenAI for all its code and insurer Travelers’ expansion of an AI claims assistant across the US. Yet running a company requires decisions under uncertainty and accountability for losses—capabilities that benchmarks do not measure. OpenAI’s April 2026 Codex billing change aligned charges more closely with API token usage, shifting away from a subscription-style allowance. Meanwhile, the company has discussed future outcome-based pricing. That approach is difficult to apply broadly because business results can be hard to define and verify. HubSpot offers a limited example, charging for successfully resolved customer-service conversations and qualified sales leads. For traders, the story is mainly about AI monetisation and enterprise demand, not a direct cryptocurrency catalyst. OpenAI’s token-based model gives it revenue as usage grows while leaving execution risk with customers.

OpenAI is facing investor scrutiny after reportedly cutting its fundraising valuation target from $1.4 trillion to $1.25 trillion. A social media post cited in the article says the ChatGPT developer is offering discounts and flexible terms to compete with Anthropic. The report also says OpenAI’s annualised revenue may be below earlier projections, but provides no figures or independent confirmation. Prediction-market contracts cited by the article price the chance of OpenAI announcing bankruptcy at 8.5% by 1 January 2028, 16.5% by 1 January 2029 and 20.5% by 1 January 2030. These odds reflect market expectations, not established evidence of insolvency. OpenAI’s funding outlook, revenue and pricing strategy remain key indicators to watch.

Capital Research and Management’s reported voting stake in Metaplanet reached 11.11% on October 16, up from 9.32% on September 8, according to a change report cited by the company. Its reported holding rose by 17,845,264 shares to 143,301,084. Metaplanet said it had not independently verified beneficial ownership. The increase in voting-rights percentage also reflects Metaplanet’s October 14 buyback of 73,981,400 shares for ¥19.309 billion. By reducing the number of shares carrying voting rights, the buyback raised the percentage represented by the reported holding. The company’s broader buyback programme allows purchases of up to 200 million shares and ¥60 billion through October 13, 2027; these are maximum limits, not completed purchases. Metaplanet says its repurchase policy is intended to improve capital efficiency and Bitcoin holdings per share. For investors, the stake disclosure and buyback are relevant to the company’s ownership and share-count structure, but the reported increase does not establish a new corporate Bitcoin purchase or guarantee value creation.

A crypto whale sold ENA, MNT, ETH and LDO about four months after buying them, receiving roughly $2.597 million against an estimated $2.257 million cost and netting about $340,000. The whale’s ENA and LDO trades were profitable, while MNT and ETH sales resulted in losses. The timing drew attention because Arthur Hayes said his investment firm, Maelstrom, had sold its ETH, ENA, UNI and other altcoin positions to take profits. A sharp crypto market decline followed later that day. The whale’s sale and Hayes’s disclosure may reinforce trader caution toward altcoins, although the article does not establish that either action caused the market drop.

A Sui RPC-store update makes each checkpoint readable as soon as it is indexed, removing a delay of up to 500 milliseconds. On 11 mainnet fullnodes, average checkpoint-subscription waiting time fell from 179 ms to 11 ms, while downstream kvstore processing improved from 775 ms to 532 ms. The update ran for 16 hours, including an epoch change, with no restarts or errors. The remaining roughly 530 ms reflects the time needed for a checkpoint to reach and be executed by a fullnode. The change improves Sui indexing and data delivery, but has no direct effect on token demand or market fundamentals.

An investor warns that the AI boom may be developing into a speculative bubble, as technology companies commit more capital despite uncertain returns. Net debt and future obligations at six major tech firms rose from $576.66 billion to $3.61 trillion in two years. The article also cites a survey in which only 13% of chief information officers said their organisations had gained significant value from AI investments, even as enterprise AI spending is expected to increase. The author argues that rising AI spending and debt could pose risks if returns fail to meet expectations, and says he favours value-focused companies with stronger fundamentals. The article presents an investor’s analysis, rather than new company disclosures or a direct market event.

A comparison ranks 12 crypto casinos by slot selection, provider range and the personal information required at signup. Dexsport tops the list with about 3,300 slots from more than 45 studios and several signup options. Roobet and Bitcasino.io each offer nearly 6,000 slots, while Stake has more than 5,000. Cloudbet lists over 2,000 titles from more than 80 providers and asks for an email and password to register. The article notes that a short signup does not remove later identity checks. Crypto casinos may request documents before withdrawals or during account reviews, and requirements can vary by operator and location. It also advises players to compare lobby filters, demo play, verification terms, licensing information and local gambling rules. The rankings and counts may change, so users should verify current terms before depositing.

Crypto casinos typically collect player data in stages, starting with device and cookie information during guest browsing. Registration adds an email address, wallet or social login; deposits link a wallet address and transaction history to the account. Bonus claims may require email confirmation, while identity checks—such as photo ID, proof of address and source-of-funds records—often come later, sometimes before a large withdrawal or when activity triggers review. Dexsport’s signup process uses an email, Google, Telegram or one of six wallets, followed by a six-digit passcode and a choice of welcome offer. Its terms allow identity-document requests at any stage. The article advises players to review each casino’s terms and local gambling rules, as data requirements and verification timing vary.

A comparison of nine crypto casinos assesses live-table depth, game providers and registration requirements—factors that may matter to players choosing a crypto casino for blackjack, baccarat or roulette. Dexsport leads the review with roughly 870 live tables and signup options including email passcodes, wallets, Google and Telegram. Roobet has more than 500 tables, while Cloudbet offers over 130. The other casinos—Shuffle, Stake, BC.Game, Bitcasino.io, BitStarz and 7Bit Casino—have smaller or more specialized live lobbies. Providers, game rules and table limits vary by platform. Registration requirements range from an email and password to forms requesting additional details such as a birth date, username or currency. The article stresses that a short signup does not remove the possibility of later identity checks: casinos may request documents before withdrawals or when account activity triggers verification. Players are advised to review privacy policies, verification terms, licensing information and local gambling laws before depositing. Table counts and terms can change, and gambling carries financial risk.

Bitcoin fell below $80,000 as crypto-market liquidations reached about $291 million in the previous hour, according to Coinglass data reported by Odaily. Long positions accounted for $274 million, while short positions saw about $17.3 million liquidated. Bitcoin liquidations totalled $86.79 million and Ethereum liquidations reached $69.8 million. The figures indicate heavy downside pressure and a sharp unwind of leveraged positions, though a one-hour snapshot does not establish whether the sell-off will continue.

Lookonchain reported that crypto trader Machi (@machibigbrother, wallet 0x020c...5872) was liquidated five times within one hour. The account was left with about $5,000. The report did not specify the positions or assets involved, so the scale of any wider market impact is unclear. The repeated Machi liquidations highlight the risks of leveraged trading during volatile market conditions.

A whale holding 93,184 ETH in long positions, valued at about $214 million, could face liquidation if the market falls further, according to Lookonchain. The reported liquidation prices are $2,256.45 and $2,226.53. The ETH whale liquidation risk could add pressure to the market if prices approach those levels, though the report does not say that liquidation has occurred.

Amazon has launched TorchNeuron, an open-source PyTorch backend that allows developers to run existing AI workloads on its Trainium2 and Trainium3 chips. Developers can switch from Nvidia GPUs with a one-line code change, although the move may still require compatibility checks in practice. Released under the Apache 2.0 licence, TorchNeuron entered public beta after testing by more than 30 early adopters, including Cartesia, Deepgram and the Lieber Institute for Brain Development. Some users report cost savings, but Amazon has not disclosed figures. TorchNeuron does not yet support all PyTorch features, including dynamic input shapes, and skips about 22,000 tests in the framework. Amazon says its custom-chip business has a $25 billion annual revenue run rate and could reach $50 billion. The launch strengthens Amazon’s effort to make Trainium a more accessible alternative to Nvidia hardware, but adoption will depend on performance, compatibility and verified cost savings.

The IRS plans to address cryptocurrency tax issues through its existing voluntary disclosure program, rather than creating a crypto-specific process. The program may offer eligible taxpayers reduced penalties and payment plans, but the IRS has not yet confirmed the details or eligibility rules. The IRS crypto tax announcement could ease compliance concerns for some US taxpayers, but its market impact remains uncertain. Traders should watch for official guidance; the news alone offers no clear signal for Bitcoin prices.

Sygnum Bank and Debifi launched MultiSYG, a Bitcoin-backed lending service that uses dedicated multisignature wallets to distribute control of borrowers’ collateral among the client, the bank and independent institutional key holders. Under the Bitcoin Script rules, multiple valid signatures are required to move funds, and holdings and movements can be checked on-chain. Sygnum says Bitcoin now accounts for more than 80% of pledged collateral volume in its lending book, up from 63% in 2023. The figures reflect the bank’s clients, not the wider crypto lending market. The bank says collateral remains client-owned, is kept off its balance sheet and is not rehypothecated. MultiSYG changes how Bitcoin loan collateral is controlled and monitored, but does not eliminate borrowing risks. Loans still carry interest and margin requirements. If Bitcoin prices fall, borrowers may need to add collateral or reduce debt. The launch announcement did not disclose the signing threshold, interest rate or loan-to-value limit.

Bitcoin ETF flows and large-holder positioning have shifted since the author’s previous cycle-top warning. Year to date, Bitcoin ETFs have recorded net inflows of $182.4 million, while the more recent months brought $5.9 billion in inflows, pointing to renewed institutional demand. Major entities’ Bitcoin holdings are up 5.2% this year even as BTC has fallen 7%, a divergence that could leave prices vulnerable if large holders sell. The author sees a favorable near-term technical setup and says belief in Bitcoin as a store of value remains strong, despite weakening network metrics. The article’s title signals a focus on Bitcoin at $75,000, but the excerpt does not provide a specific price forecast or trading plan.

The AI data center boom, a major driver of the market rally since ChatGPT’s debut in late 2022, is facing mounting challenges. Rising capital spending, negative free cash flow and higher credit risk are putting pressure on hyperscalers such as Meta and cloud infrastructure providers such as CoreWeave. The AI data center buildout also faces setbacks including failed IPOs, financing problems and investor resistance to valuations. Local opposition, regulatory threats and lengthy grid interconnection delays add further obstacles. Together, these risks could slow AI infrastructure expansion and test the market rally that has relied heavily on expectations for AI growth.

Bitcoin price fell below $80,000 on Saturday, touching a nine-day low of $79,750 after losing ground from a recent attempt to approach $85,000. The move put renewed pressure on the wider crypto market. Major altcoins also declined: ETH fell below $2,350, BNB slipped under $730, XRP dropped below $1.30 and SOL fell under $100. ZEC lost 7.5%, while NEAR dropped more than 10%. CoinGlass data showed about $670 million in crypto positions liquidated over 24 hours, including $232 million in recent hours. Long positions accounted for $220 million of that shorter-period total. More than 213,000 traders were liquidated, and the largest single position—worth almost $12 million—was on Binance. The sharp Bitcoin price decline and wave of long liquidations point to heightened short-term volatility and bearish pressure across digital assets.

A brief crypto market downturn partially liquidated Machi Big Brother’s 25x ETH long position. The trader now holds 252 ETH, worth about $592,000, with an unrealized loss of roughly $24,000 and a liquidation price of $2,326. The leveraged ETH long highlights the risks of high leverage during sudden price swings.

Ethereum has slipped below its broader ascending channel after a rebound failed at the $2.44K–$2.52K supply zone, keeping the short-term outlook cautious. The price is near the $2.32K–$2.36K demand area; a sustained break below $2.32K could open a move toward $2.22K and the broader bullish imbalance extending as low as $1.92K. On the four-hour chart, lower highs and a rejection from $2.47K–$2.5K point to continued selling pressure. Buyers would need to recover $2.4K–$2.42K, then reclaim $2.47K–$2.5K, to improve the setup. The $2.54K–$2.58K zone is another resistance area. Ethereum futures taker activity has shifted to sell dominance over the measured 90-day window, supporting the bearish technical picture. This is not a guaranteed breakdown: holding support or a shift in order flow could trigger a relief bounce. Traders are watching the $2.32K–$2.36K support zone and nearby resistance for confirmation.

Applied Materials remains a buy in the analyst’s view, as AI-related semiconductor demand supports growth and the company’s Q4 outlook points to robust performance and expanding margins. Applied Materials’ forward price-to-earnings ratio has fallen below 30 after a selloff in AI-related stocks, improving the perceived risk-reward profile. Long-term industry forecasts and the company’s EPIC Center are cited as potential growth and innovation drivers through 2030. Key risks include the company’s exposure to China and possible export restrictions. The article provides no specific Q4 figures.