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23 Apr 2026, 19:22

Bitcoin funding rate drops to minus 4.5 percent in April

📉 Bitcoin funding rates dropped to minus 4.5 percent in April. Many traders have bet against $BTC as geopolitical tensions spike. Continue Reading: Bitcoin funding rate drops to minus 4.5 percent in April The post Bitcoin funding rate drops to minus 4.5 percent in April appeared first on COINTURK NEWS .

23 Apr 2026, 19:20

TD Cowen held its Nvidia buy rating despite Google's rival AI chips

Despite a new chip challenge from Google and a billion-dollar contract loss hitting one of its key suppliers, Nvidia remains the dominant force in artificial intelligence hardware, with fresh deals in the UK, China, and the automotive sector reinforcing that position. Wall Street research firm TD Cowen reaffirmed its buy rating on Nvidia this Thursday, brushing aside concerns raised by Google’s Wednesday announcement of new AI training and inference chips. The firm said it continues to see Nvidia as “the market leader in terms of performance and breadth of software ecosystem.” The endorsement came as Nvidia announced a string of new partnerships across multiple industries on the same day. New deals span continents In Britain, telecom company BT and cloud infrastructure firm Nscale announced a joint plan to build AI data centers on UK soil using Nvidia’s full-stack infrastructure. The goal is to let organizations run AI systems securely and independently, without relying on foreign-controlled infrastructure. Under the plan, Nscale will build up to 14 megawatts of AI data center capacity across three existing BT sites. BT will provide the connectivity needed to handle rising compute demand. The project extends BT’s business platform to offer new AI services to both the private and public sectors. Use cases include AI-powered analysis of sensitive healthcare data, as well as applications in energy, finance, and security. On the automotive front, Nvidia and Chinese company Desay SV are set to jointly unveil a new intelligent driving solution at the Beijing Auto Show. The system is built on Nvidia’s DRIVE AGX Thor computing platform and uses NVLink interconnect technology, which links two AGX Thor chips together. The combined setup delivers a maximum computing power of 4,000 FP4 TFLOPS and is designed to tackle the technical challenges of building Level 3 and Level 4 autonomous vehicles, cars that can largely or fully drive themselves under specific conditions. The system runs entirely on edge-side computing, meaning it does not rely on the cloud to function. According to the companies, this approach improves real-time performance, data security, and overall reliability, making it suitable for both highway and urban driving. Supply chain troubles mount While Nvidia’s partnerships continue to grow , trouble is brewing in its supply chain. Shares of Super Micro Computer fell 10% on Thursday after reports surfaced that the company lost a major contract with Oracle for Nvidia’s GB300 NVL72 server racks. A report from research firm Bluefin said Oracle canceled an order for between 300 and 400 racks, wiping out a contract worth between $1.1 billion and $1.4 billion for Super Micro. Bluefin, citing industry sources, said the cancellation is believed to be connected to a lawsuit against Super Micro’s co-founder over the alleged smuggling of AI graphics processors to China. Bluefin also reported that Wistron NeWeb is believed to have taken over the racking business that Super Micro lost. At the same time, sources within the supply chain flagged concerns about a build-up of unsold B200 GPU inventory, describing the levels as “considerable.” The accumulation is being linked to a shift in demand. Buyers have moved away from B200 hardware toward the newer GB200 NVL72 racks, and the contracts for those were awarded to Dell and Hewlett-Packard Enterprise, not Super Micro. The situation highlights how even the world’s most in-demand AI chips can run into complicated distribution problems. As Nvidia pushes further into sovereign infrastructure, self-driving technology, and financial services, keeping its hardware moving through the right hands is becoming just as important as building it. So Wall Street is betting on Nvidia’s software strength, but overlooking real cracks in its supply chain. The buy rating assumes these problems will sort themselves out. That is not guaranteed. Unsold chips and contract shuffles signal growing pains. The real test is whether Nvidia can get its own operations under control before rivals move in. If you're reading this, you’re already ahead. Stay there with our newsletter .

23 Apr 2026, 19:19

Trump admin says China is raiding American AI labs to speed its own rise

The Trump administration says China is trying to raid American AI labs to move faster. A Financial Times report on Thursday said the White House accused China of carrying out industrial-scale theft of US AI intellectual property and warned it would crack down. The report cited a memo by Michael Kratsios, director of the White House Office of Science and Technology Policy. Kratsios wrote that the US government has information showing foreign entities based in China are engaged in deliberate, industrial-scale campaigns to distill US frontier AI systems. He said the operations are using tens of thousands of proxy accounts to avoid detection and jailbreaking methods to expose proprietary information. He also said Washington will alert American AI companies to unauthorized attempts at distillation and will consider steps to hold the actors accountable. White House accuses China of stripping US AI systems while H200 chip sales remain stalled The fight over stolen AI work is unfolding beside another dispute over advanced chips. Nvidia’s H200 chips are in heavy demand, and supply for the Chinese tech sector had been expected, but US officials say those chips still have not been sold to Chinese companies. Commerce Secretary Howard Lutnick said Nvidia’s artificial intelligence chips have not yet been sent to Chinese firms, citing difficulties obtaining permission from the Chinese government. The Trump administration formally approved China-bound sales of H200 chips in January, though with conditions. That decision stirred concern among China hawks in Washington, who fear Beijing could use the technology to strengthen its military. Even so, shipments have been blocked by disagreements over sale terms in both the United States and China. Asked at a Senate hearing about the delayed sales, Howard said: “The Chinese central government has not let them, as of yet, buy the chips, because they’re trying to keep their investment focused on their own domestic industry.” Howard added, “We have not sold them chips as of yet.” The continued delay is likely to please US hardliners who reject the administration’s argument that such sales could discourage Chinese rivals, including heavily sanctioned Huawei, from pushing harder to catch up with American AI chip designers. But Howard also appeared to step back from a prior pledge to restore in November a rule that would restrict US tech exports to Chinese companies. China offers massive embodied AI pay packages as export curbs and trade talks stay tangled The affiliates rule was delayed for one year last November as part of a trade negotiation with China. Howard said, “I agree that the affiliates rule is a smart thing for the United States of America to consider, but it is part of the balance of that full trade agreement.” He also said the US trade relationship with China is led by President Trump, Treasury Secretary Scott Bessent, and US Trade Representative Jamieson Greer. Howard added, “I focus on the rest of the world.” China’s embodied AI sector is in a fierce talent war. Some companies are failing to attract qualified workers even after offering CNY1 million (about $138,000) a year. Job listings show entry-level algorithm engineers in embodied intelligence can earn around CNY30,000 a month, or $4,140. Expert-level engineers are offered about CNY50,000 per month, while world-class engineers can get around CNY60,000. Other roles in demand include motion-control algorithm engineers and embedded software engineers, and most technical jobs require at least a master’s degree. The pay rises. Ubtech Robotics, the world’s first humanoid robot maker to go public, launched a search this month for a chief scientist focused on humanoid robots and embodied intelligence. The annual pay range is CNY15 million to CNY124 million, or about $2.2 million to $18 million. Last year, Volcano Engine, the cloud unit of ByteDance, began hiring a senior expert in algorithm manipulation for embodied robotics research, with a monthly pay of CNY95,000 to CNY120,000, or about $13,110 to $16,560. If you're reading this, you’re already ahead. Stay there with our newsletter .

23 Apr 2026, 19:18

Bitcoin (BTC) Price: Fidelity Predicts Next Major Wave

Fidelity Investments' Director of Global Macro Jurrien Timmer predicts that Bitcoin is laying the groundwork for a "major up wave" and dismissing concerns of a bearish continuation.

23 Apr 2026, 19:18

We Asked 3 AIs: Which 3 Cryptocurrencies Will Explode Next Bull Cycle?

The cryptocurrency industry has been suppressed by a bear market over the past several months, with numerous leading digital assets, including Bitcoin (BTC), slipping far below their 2025 record highs. And while some have panicked, others view the current conditions as perfect for increasing their exposure at lower prices before the next bull run begins. It remains uncertain which cryptocurrencies will be the biggest winners when the market starts booming again, but we poked the AI brains of some of the most popular chatbots to check their opinion on the matter. ETH and Which Ones? ChatGPT’s top pick is Ethereum, describing the project as the backbone of DeFi, NFTs, and RWAs and claiming that institutional money will flow there. “Ethereum will explode next cycle because it’s booming the default layer for institutional capital, especially as ETFs evolve and potentially include staking, turning ETH into a yield-generating asset,” it stated. Moreover, the chatbot noted that, unlike many cryptocurrencies, Ethereum has real demand drivers and doesn’t rely entirely on hype and speculation. ChatGPT’s second top candidate is Solana (SOL), predicting that its price may skyrocket during the next bull run because it has become “the go-to chain for retail activity, combining speed, low fees, and a smooth user experience that attracts massive liquidity.” It added that the project has become the center of meme coin and high-frequency trading, which tends to drive explosive price moves during peak hype phases. The chatbot placed Bittensor (TAO) in third place, saying “it sits at the intersection of AI and crypto, the strongest emerging narrative in global markets.” It estimated that this unique positioning gives the asset the opportunity to chart impressive gains when the conditions improve. What Else? Google’s Gemini generated a very similar answer to ChatGPT. It named SOL as its best candidate, placed TAO in second position, and rounded up the top 3 with Ondo Finance (ONDO). “Ondo is the primary bridge for tokenizing Wall Street, allowing trillions in traditional assets like US Treasuries to move onto the blockchain with full regulatory compliance. As institutional giants like BlackRock deepen their on-chain presence in 2026, Ondo captures the lion’s share of this massive capital inflow,” it claimed. We also sought Perplexity’s take on the matter. The chatbot agreed with ChatGPT that ETH and SOL have the most upside potential, naming Chainlink (LINK) as its third-best candidate. “LINK could pump because it’s the main oracle for crypto, so more DeFi and tokenization activity can mean more demand for LINK. It also has strong adoption signals, which makes it look like infrastructure, not just a trade,” it concluded. The post We Asked 3 AIs: Which 3 Cryptocurrencies Will Explode Next Bull Cycle? appeared first on CryptoPotato .

23 Apr 2026, 19:15

Copper Market Faces Complex Mixed Signals: ING Analysis Reveals Critical Trends

BitcoinWorld Copper Market Faces Complex Mixed Signals: ING Analysis Reveals Critical Trends The copper market currently navigates a period of mixed signals. Analysts at ING highlight a complex landscape shaped by shifting demand, supply constraints, and evolving global policies. Understanding these dynamics is crucial for investors and industry stakeholders. Copper Market Mixed Signals: A Detailed ING Perspective ING’s latest report dissects the contradictory forces affecting copper. On one side, robust demand from renewable energy and electric vehicle sectors pushes prices higher. On the other, slowing economic growth in major economies and inventory builds create downward pressure. This tug-of-war results in a volatile trading environment. Demand Drivers and Headwinds Global copper demand shows resilience in specific sectors. The energy transition remains a key driver. Solar, wind, and EV manufacturing require significant copper content. However, traditional demand from construction and consumer goods weakens. China, the world’s largest consumer, reports mixed industrial output data. This creates uncertainty for near-term consumption. Renewable energy installations continue to grow, supporting long-term demand. Electric vehicle production increases, requiring up to four times more copper than conventional cars. Infrastructure spending in the US and Europe provides a buffer against economic slowdown. Property sector weakness in China dampens overall demand growth. Supply Constraints and Geopolitical Factors Supply-side issues add to the mixed signals. Major copper mines face operational challenges. Labor disputes, ore grade declines, and regulatory hurdles reduce output. ING notes that new mine projects face long lead times and rising costs. This limits the market’s ability to respond to price increases. Geopolitical tensions further complicate the picture. Trade restrictions and export controls on raw materials create bottlenecks. Countries like Chile and Peru, top producers, grapple with political instability and community opposition. These factors tighten supply and support prices, even as demand wavers. Key Supply Data Points Factor Impact on Supply Mine disruptions Reduces output, tightens market Declining ore grades Increases production costs New project delays Limits future supply growth Geopolitical risks Creates uncertainty and premiums Price Outlook and Market Sentiment ING’s analysis suggests copper prices will remain range-bound in the near term. The balance between bullish supply constraints and bearish demand concerns keeps prices in check. Market sentiment shifts rapidly based on macroeconomic data releases and policy announcements. Investors should watch for signals from the Federal Reserve. Interest rate decisions influence the US dollar and commodity prices. A weaker dollar typically supports copper, while a stronger one adds pressure. Additionally, Chinese stimulus measures could boost demand and break the current stalemate. Expert Views and Industry Reactions Industry experts echo ING’s cautious tone. Many see the current period as a correction within a long-term uptrend. The energy transition provides a structural demand story. However, short-term volatility requires careful risk management. Traders focus on inventory levels and production data for clues. ING emphasizes the importance of monitoring refined copper inventories. High stockpiles suggest oversupply, while low ones indicate tightness. Recent data shows mixed trends across exchanges, adding to the complexity. The market awaits clearer direction from fundamental drivers. Conclusion The copper market presents a complex picture of mixed signals. ING’s detailed analysis reveals a tug-of-war between strong demand from green sectors and persistent supply constraints against economic headwinds. Investors must navigate this landscape with a focus on fundamentals and a long-term perspective. The copper market’s future hinges on the balance between these opposing forces. FAQs Q1: What are the main mixed signals affecting the copper market? Mixed signals include strong demand from renewable energy and EVs versus weak demand from construction and consumer goods, alongside supply constraints and economic uncertainty. Q2: How does ING analyze copper market trends? ING analyzes copper by examining supply-demand balances, inventory levels, geopolitical risks, and macroeconomic factors like interest rates and Chinese stimulus. Q3: What factors support higher copper prices? Factors include supply disruptions from mines, declining ore grades, long project lead times, and robust demand from the energy transition and infrastructure spending. Q4: What factors pressure copper prices downward? Downward pressure comes from slowing economic growth in key regions, property sector weakness in China, and potential interest rate hikes that strengthen the US dollar. Q5: What is the outlook for copper prices in the near term? ING expects copper prices to remain range-bound, with the balance between bullish supply constraints and bearish demand concerns keeping the market volatile. This post Copper Market Faces Complex Mixed Signals: ING Analysis Reveals Critical Trends first appeared on BitcoinWorld .