Hyperliquid prepares portfolio margin upgrade to boost capital efficiency for large traders

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Hyperliquid, in an official announcement, has informed users of its latest market position on trade. According to the team, “Portfolio margin will transition from pre-alpha to alpha phase on the next network upgrade.” As per the announcement, Hyperliquid aims to cater to traders who want to make larger trades without having to lock up as much capital. This will enable traders to hedge risk across multiple positions in their portfolios. What is Hyperliquid’s portfolio margin? According to Hyperliquid ,” portfolio margin accounts automatically earn yield on all borrowable assets not actively used for trading.” Portfolio margin offers the ability to use functionality like the carry trade, where the balance is offset by a short position in perps, collateralized by the balance in the spot account. The pnl of the balance and the perps offset each other, protecting against liquidation of the position in the perps market. In addition, spot and perps can be traded from a unified balance. Portfolio margin avoids bringing a full-fledged lending market into HyperCore, as it is best left to independent teams building on the EVM. It is a complex technical upgrade and requires bootstrapping the supply side for borrowable assets. Portfolio margin accounts return to non-portfolio margin behavior when the caps are hit. In pre-alpha, only USDC is borrowable, and HYPE is the only collateral asset. USDH will be added as borrowable and BTC as collateral prior to the alpha phase, which will be added to the docs. Liquidations on Hyperliquid’s portfolio margin. For assets eligible for portfolio margin, their LTV ratio ranges from 0 to 1. The assets borrowed incur continuous interest accruals, which are then indexed every hour to coincide with the perp funding interval. Interest on borrowed and idle assets for portfolio margin users is paid at the same rate. How will the portfolio margin work for traders? Based on the above development, rather than specifying the collateral requirements for each individual trade, the system will be able to determine the net collateral requirement based on the portfolio’s risk level. This will enable users to back multiple positions with less capital. The feature is expected to transition from the pre-alpha phase to the alpha phase in the next network upgrade, meaning users will no longer be restricted to using it only on their test accounts. “Users will be able to borrow up to 1M USDC or USDH against their spot HYPE or spot BTC. This unlocks an unprecedented amount of capital efficiency and yield opportunities for borrowers & lenders,” Hyperliquid follower Steven.hl said on X. However, access to portfolio margin will be granted only to master accounts with more than $5 million in weighted trading volume. This is intended to ensure only those with experience use the system. Portfolio margin trade requirements: Source – Telegram In addition, to address the additional risks associated with a portfolio margin model, Hyperliquid will put in place limits on the amount of a given asset that can be supplied or borrowed globally and per user. In terms of stablecoins such as USDH or USDC, for example, these will be subject to global supply and borrowing limits of 500 million and 100 million, respectively, while users will be limited to 5 million for supply and 1 million for borrowing. Hyperliquid whales shift focus to oil The recent upgrade comes as whales move to trade oil amid global tensions. As reported by Cryptopolitan , oil trading on Hyperliquid has continued to accelerate, with two contracts now active. The entity now offers Brent and WTI oil trade through HIP-3 and the XYZ exchange. The two futures became active in the last week as oil broke through $90. Whales are making even more daring bets on oil price expectations. The Iran war and damage to the global supply chain created expectations for higher oil prices in the summer. Oil is still a risky trade, as prices can be tempered by releasing reserves. Want your project in front of crypto’s top minds? Feature it in our next industry report, where data meets impact.

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OpenAI Expands Enterprise AI Push With Promptfoo Security Startup Deal

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OpenAI disclosed this week that it plans to acquire AI security startup Promptfoo, folding the San Mateo, California-based company’s testing and red-teaming tools into its enterprise agent platform, Frontier. OpenAI Targets AI Agent Vulnerabilities With Promptfoo Startup Purchase The deal, announced by both OpenAI and Promptfoo, will bring Promptfoo’s automated security testing and evaluation technology

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AUD/USD Rally Accelerates: Strong Australian Yields and Soft US Dollar Fuel Sustained Gains

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BitcoinWorld AUD/USD Rally Accelerates: Strong Australian Yields and Soft US Dollar Fuel Sustained Gains The AUD/USD currency pair continues its impressive rally this week, driven by a powerful combination of robust Australian bond yields and persistent US Dollar weakness. Market analysts observe sustained momentum as fundamental economic factors align to support the Australian currency. AUD/USD Rally Extends on Diverging Monetary Policies Foreign exchange markets witnessed significant movement as the Australian Dollar strengthened against its US counterpart. This development reflects growing investor confidence in Australia’s economic outlook. Consequently, traders adjusted their positions based on shifting interest rate expectations. Several key factors contributed to this currency movement. First, the Reserve Bank of Australia maintained a relatively hawkish stance compared to other central banks. Second, commodity price stability provided underlying support for the export-oriented economy. Finally, technical indicators suggested the rally had room to continue. Key drivers behind the AUD/USD movement include: Widening yield differentials between Australian and US government bonds Improved risk sentiment in global financial markets Stronger-than-expected Australian economic data releases Technical breakout above key resistance levels Australian Bond Yields Provide Substantial Support Australian government bond yields reached multi-month highs, attracting substantial international capital flows. This yield advantage created natural demand for Australian Dollars from foreign investors seeking higher returns. Meanwhile, the Reserve Bank of Australia’s communication suggested continued vigilance against inflation. The yield on 10-year Australian government bonds climbed significantly above comparable US Treasury yields. This spread represents one of the widest gaps in recent years. Institutional investors responded by increasing their Australian Dollar exposure across multiple asset classes. Market participants closely monitored several economic indicators. Employment figures remained robust while business confidence surveys showed moderate improvement. Additionally, export data demonstrated resilience despite global economic headwinds. Expert Analysis of Yield Dynamics Financial analysts emphasize the importance of real yield differentials in currency valuation. When adjusted for inflation expectations, Australian bonds offer attractive returns relative to other developed markets. This fundamental advantage supports sustained currency strength over medium-term horizons. Historical data reveals consistent correlation between yield spreads and currency performance. The current environment resembles previous periods when monetary policy divergence drove extended currency trends. However, analysts caution that external factors could influence future developments. US Dollar Weakness Amplifies Australian Dollar Strength The US Dollar Index declined against a basket of major currencies, reflecting changing Federal Reserve policy expectations. Recent economic data from the United States suggested moderating inflationary pressures. Consequently, market participants adjusted their interest rate forecasts downward. Several factors contributed to the US Dollar’s soft performance. First, manufacturing data showed signs of contraction in certain regions. Second, consumer spending patterns indicated potential economic slowing. Third, geopolitical developments influenced safe-haven demand dynamics. The relationship between the US Dollar and global risk sentiment remained complex. Traditionally, Dollar weakness supports commodity currencies like the Australian Dollar. Current market conditions reinforced this historical pattern through multiple transmission channels. Comparative Economic Indicators (Recent Data) Indicator Australia United States 10-Year Bond Yield 4.25% 3.85% Inflation Rate 3.4% 2.9% Unemployment Rate 3.7% 4.1% GDP Growth (QoQ) 0.6% 0.3% Technical Analysis and Market Positioning Chart patterns revealed significant technical developments for the AUD/USD pair. The currency broke through several key resistance levels with substantial volume support. Technical analysts identified potential price targets based on historical volatility patterns and Fibonacci extensions. Market positioning data from futures exchanges showed notable changes. Speculative accounts increased their net long Australian Dollar positions significantly. Meanwhile, commercial hedging activity indicated growing corporate awareness of currency risk management needs. Several technical indicators flashed bullish signals. The moving average convergence divergence showed positive momentum. Relative strength indices approached but did not enter overbought territory. Bollinger Band analysis suggested expanding volatility with upward bias. Risk Management Considerations Experienced traders emphasize proper risk management during extended currency moves. Position sizing should account for potential volatility increases around economic data releases. Stop-loss placement requires careful consideration of support and resistance levels. Currency correlations with other asset classes remained important for portfolio construction. The Australian Dollar maintained its traditional relationship with commodity prices and Asian equity markets. These intermarket relationships provided additional context for trading decisions. Global Economic Context and Future Outlook The international economic environment presented mixed signals for currency markets. Chinese economic data showed moderate improvement, supporting regional trading partners like Australia. European economic indicators suggested gradual recovery from previous weakness. Central bank policies worldwide continued evolving based on inflation trajectories. The Bank of Japan maintained its ultra-accommodative stance while the European Central Bank monitored data carefully. This global monetary policy mosaic created complex cross-currents for currency valuations. Commodity markets provided important background for the Australian Dollar. Iron ore prices remained stable while agricultural exports showed seasonal strength. Energy markets experienced volatility but maintained reasonable price levels for Australian exports. Conclusion The AUD/USD rally demonstrates how fundamental economic factors drive currency markets. Strong Australian yields and US Dollar weakness created powerful tailwinds for the Australian currency. Market participants will monitor upcoming economic releases and central bank communications for future direction. The AUD/USD pair’s performance reflects broader global economic trends and monetary policy divergence. FAQs Q1: What causes Australian bond yields to rise? Australian bond yields increase when investors demand higher returns for holding government debt. This typically happens when inflation expectations rise, economic growth strengthens, or the central bank signals tighter monetary policy. Q2: How does US Dollar weakness affect other currencies? US Dollar weakness generally makes other currencies stronger in comparison. This occurs because fewer investors seek the Dollar as a safe haven, and the relative value of other currencies increases when exchanged for Dollars. Q3: Why is the AUD/USD pair important for global markets? The AUD/USD represents one of the major currency pairs and serves as a barometer for global risk sentiment. It reflects commodity demand, Asian economic health, and interest rate differentials between two significant economies. Q4: What economic data most influences the Australian Dollar? Key data includes employment figures, inflation reports, retail sales, trade balance statistics, and Reserve Bank of Australia policy decisions. Commodity prices, particularly for iron ore and coal, also significantly impact the currency. Q5: Can the AUD/USD rally continue? Currency movements depend on numerous factors including economic data, central bank policies, and global risk sentiment. While current conditions support Australian Dollar strength, future developments could alter the trend direction. This post AUD/USD Rally Accelerates: Strong Australian Yields and Soft US Dollar Fuel Sustained Gains first appeared on BitcoinWorld .

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Thinking Machines Lab Secures Monumental Nvidia Compute Deal to Power Next-Generation AI Research

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BitcoinWorld Thinking Machines Lab Secures Monumental Nvidia Compute Deal to Power Next-Generation AI Research In a landmark move for artificial intelligence infrastructure, Thinking Machines Lab, the research startup founded by OpenAI veteran Mira Murati, has announced a massive, multi-year compute partnership with semiconductor leader Nvidia. The strategic deal, confirmed on March 10, 2026, includes the deployment of at least one gigawatt of Nvidia’s cutting-edge Vera Rubin AI systems starting in 2027, alongside a direct strategic investment from the chipmaker. This partnership underscores the intense, global competition for advanced computing power essential for developing frontier AI models. Thinking Machines Lab Nvidia Deal: A Strategic Compute Alliance The newly formed partnership represents a significant commitment from both entities. Thinking Machines Lab, despite being founded just over a year ago in February 2025, has rapidly ascended to a valuation exceeding $12 billion. The company’s core mission focuses on building AI models that produce reproducible and reliable results, a technical challenge in the current landscape. Consequently, securing long-term, high-performance compute is not merely an operational need but a foundational requirement for its research agenda. Nvidia’s involvement extends beyond a typical supplier relationship. The company is making a strategic investment in Thinking Machines Lab, joining existing high-profile backers like Andreessen Horowitz and Accel. Notably, rival chipmaker AMD’s venture arm is also an investor, highlighting the broad industry interest in the lab’s potential. The deal specifics, including the financial terms of both the compute agreement and the investment, remain undisclosed. Representatives from both companies declined to provide further commentary beyond the official announcement. The partnership includes several key components: Compute Deployment: Thinking Machines Lab will deploy a minimum of one gigawatt of Nvidia’s Vera Rubin platform. Strategic Investment: Nvidia is taking a direct financial stake in the research lab. Joint Development: Both parties commit to co-developing training and serving systems optimized for Nvidia’s architecture. Vera Rubin Systems: The Next-Generation AI Engine Central to this agreement is Nvidia’s Vera Rubin platform, released earlier in 2026. Named for the pioneering astronomer, this system represents the next evolution in AI-dedicated supercomputing. A single gigawatt of compute power signifies a monumental infrastructure project, capable of training models of unprecedented scale and complexity. For context, industry analysts often use power consumption as a proxy for computational capacity, with leading AI labs already operating at similar scales. Mira Murati emphasized the critical nature of this hardware in the deal’s announcement. “Nvidia’s technology is the foundation on which the entire field is built,” she stated. “This partnership accelerates our capacity to build AI that people can shape and make their own, as it shapes human potential in turn.” Her statement points to the lab’s ambition to create more controllable and user-influenced AI systems, a direction that requires immense computational resources for iterative training and refinement. The Intense Scramble for AI Compute Power This deal occurs against a backdrop of severe scarcity in high-end AI compute. Demand for Nvidia’s flagship processors continues to far outstrip supply, creating a strategic bottleneck for AI development worldwide. Nvidia CEO Jensen Huang has publicly predicted that the global tech industry may invest between $3 trillion and $4 trillion into AI infrastructure by 2030. The Thinking Machines Lab agreement is a clear data point supporting that forecast. The market for large-scale compute deals is already seeing record-breaking figures. In 2025, OpenAI was widely reported to have signed a historic $300 billion compute agreement with Oracle, a claim that, while unconfirmed, illustrates the staggering financial scale of these partnerships. The Thinking Machines Lab deal, while undisclosed in value, is positioned within this new paradigm of multi-billion-dollar, long-term compute commitments that are essential for staying competitive in foundational AI research. Thinking Machines Lab: High-Stakes Research Amid Talent Flux Founded by Mira Murati after her tenure as OpenAI’s Chief Technology Officer, Thinking Machines Lab has operated in stealth mode, focusing on its research mission without a public product launch. The company’s $12 billion valuation, achieved through over $2 billion in funding, reflects immense investor confidence in Murati’s vision and team. However, the lab’s short history has also seen notable talent departures, a common challenge in the hyper-competitive AI talent market. In October 2025, co-founder Andrew Tulloch left the startup for a role at Meta. Earlier in 2026, three other co-founders—Barret Zoph, Luke Metz, and Sam Schoenholz—departed to return to OpenAI. These moves highlight the fierce competition for top AI researchers and engineers. Securing a stable, long-term compute partnership with Nvidia provides the lab with a crucial non-personnel asset: guaranteed access to the hardware required to attract and retain top talent focused on ambitious projects. Broader Implications for the AI Ecosystem The strategic nature of Nvidia’s investment is particularly significant. It signals a deepening vertical integration within the AI supply chain, where the dominant hardware provider takes direct stakes in promising research entities. This model ensures alignment and potentially secures a dedicated customer for future hardware generations. For Thinking Machines Lab, it provides not just capital but also a privileged partnership with the architect of the hardware their research depends on. Furthermore, the commitment to jointly develop training and serving systems suggests Thinking Machines Lab’s research may influence future Nvidia software and architectural optimizations. This collaborative aspect could yield efficiencies that benefit the broader ecosystem using Nvidia platforms, while giving the lab a potential competitive edge in system-level performance. Conclusion The monumental compute deal between Thinking Machines Lab and Nvidia marks a pivotal moment in the infrastructure arms race underpinning advanced artificial intelligence. By securing at least one gigawatt of Vera Rubin systems and a strategic investment, Mira Murati’s research lab has obtained the foundational resource needed to pursue its goal of building reproducible, next-generation AI models. This partnership exemplifies the enormous capital and strategic alliances now required to compete at the frontier of AI, reflecting Nvidia CEO Jensen Huang’s prediction of trillions in upcoming industry investment. As the first Vera Rubin deployments approach in 2027, the industry will watch closely to see how this compute power translates into research breakthroughs from one of the field’s most watched and well-funded new labs. FAQs Q1: What is the Thinking Machines Lab Nvidia deal about? The deal is a multi-year strategic partnership where Thinking Machines Lab will deploy at least one gigawatt of Nvidia’s new Vera Rubin AI computing systems starting in 2027. Nvidia is also making a strategic investment in the lab. Q2: Who founded Thinking Machines Lab? The lab was founded in February 2025 by Mira Murati, the former Chief Technology Officer of OpenAI. It has raised over $2 billion and is valued at more than $12 billion. Q3: What are Nvidia Vera Rubin systems? Vera Rubin is Nvidia’s latest AI supercomputing platform, announced in early 2026. It represents the next generation of hardware designed specifically for training and running large-scale artificial intelligence models. Q4: Why is compute access so important for AI labs? Training state-of-the-art AI models requires immense amounts of computational power. Access to advanced, scalable compute like Nvidia’s systems is a critical bottleneck and a key strategic advantage for research labs. Q5: Has Thinking Machines Lab released any products? No, the company has not released any commercial products to the public. It remains focused on its core research mission to develop AI models with reproducible results. This post Thinking Machines Lab Secures Monumental Nvidia Compute Deal to Power Next-Generation AI Research first appeared on BitcoinWorld .

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xStocks Rewards Program Launch: Strategic xPoints Initiative Signals Major Tokenized Stock Evolution

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BitcoinWorld xStocks Rewards Program Launch: Strategic xPoints Initiative Signals Major Tokenized Stock Evolution In a significant development for the tokenized asset sector, xStocks, a platform with notable ties to the Kraken exchange, has confirmed plans to launch its xPoints rewards program. This initiative, first reported by CoinDesk, aims to directly incentivize traders, liquidity providers, and decentralized finance (DeFi) builders who utilize its on-chain stock tokens. Consequently, the move represents a strategic effort to boost platform engagement and liquidity. Moreover, industry analysts view the program as a potential precursor to a broader token-based ecosystem, marking a pivotal moment for real-world asset (RWA) tokenization. xStocks Rewards Program Targets Core DeFi Participants The planned xPoints program specifically targets three key user groups within the xStocks ecosystem. First, active traders executing transactions with tokenized stocks will earn points. Second, liquidity providers depositing assets into designated pools will accumulate rewards. Finally, DeFi builders integrating xStocks tokens into their protocols will also qualify. This tripartite structure demonstrates a comprehensive approach to ecosystem growth. Furthermore, the points may eventually become convertible into various ecosystem rewards, with governance tokens being a prominently discussed possibility. Although xStocks has not officially announced a native token, the rewards framework logically establishes the groundwork for such a launch. Therefore, the program functions as both an engagement tool and a potential loyalty mechanism for a future decentralized governance model. The Expanding Landscape of Tokenized Real-World Assets The xStocks initiative arrives amid rapid expansion within the tokenized RWA sector. Traditional financial assets like stocks, bonds, and commodities are increasingly represented on blockchain networks. This process enhances liquidity, enables fractional ownership, and allows for 24/7 trading. Platforms facilitating this bridge between traditional finance (TradFi) and decentralized finance are gaining substantial traction. For instance, total value locked (TVL) in RWA protocols has seen consistent quarterly growth since 2023, according to data from DeFiLlama. The involvement of a platform associated with a major exchange like Kraken adds a layer of institutional credibility. Subsequently, this connection may accelerate mainstream adoption by attracting users familiar with traditional equity markets. Analyzing the Strategic Implications of Points Programs Points-based reward systems have become a common growth strategy in Web3. Essentially, they allow projects to bootstrap communities and measure user engagement before a token launch. Importantly, these programs create a tangible stake for early participants without distributing equity or governance rights prematurely. Experts from firms like Galaxy Digital have noted that well-designed points programs can effectively align user incentives with long-term protocol health. However, they also caution that such systems must offer clear utility and a credible path to token conversion to maintain user trust. The xStocks model, by focusing on tangible platform actions like trading and providing liquidity, directly ties rewards to value-creating activities. This approach contrasts with simpler programs based solely on social media engagement, potentially leading to a more sustainable and dedicated user base. Technical Architecture and Compliance Considerations Operating a platform for tokenized stocks involves navigating a complex regulatory environment. Each tokenized stock is a digital representation of an underlying security, requiring strict compliance with financial regulations in relevant jurisdictions. xStocks reportedly utilizes a model where licensed custodians hold the actual securities, and tokens are issued on-chain as representative claims. This structure is critical for meeting know-your-customer (KYC) and anti-money laundering (AML) requirements. The proposed xPoints system will likely operate on a separate, non-security track to avoid regulatory complications. By keeping the points distinct from the security tokens, the platform can innovate with incentives while maintaining the necessary legal safeguards for its core asset offerings. This bifurcated approach is becoming a standard best practice in the regulated digital asset space. Potential Impact on DeFi Liquidity and Composability The integration of tokenized stocks into DeFi opens novel possibilities for financial products. For example, these tokens can be used as collateral for loans in lending protocols or included in yield-generating strategies. The xPoints rewards for DeFi builders explicitly encourage this kind of innovative integration. As a result, we may see new structured products that blend traditional equity exposure with decentralized finance yields. Increased liquidity from the rewards program could also reduce slippage for large trades, making the platform more attractive to institutional participants. This flywheel effect—where rewards drive liquidity, which in turn attracts more users—is a primary goal of the xStocks strategy. Analysts will closely monitor whether the points incentive can meaningfully deepen liquidity pools beyond initial launch promotions. Market Context and Competitive Differentiation xStocks enters a competitive field with other platforms offering tokenized equities, such as those from traditional fintech companies and native crypto projects. Its potential differentiation lies in the deep integration with the Kraken ecosystem and its focused rewards strategy. The xPoints program provides a clear, immediate value proposition to offset the novelty and perceived risk of trading tokenized stocks. Additionally, by rewarding builders, xStocks is investing in the long-term composability of its tokens, aiming to make them a fundamental building block in the DeFi stack. This is a more forward-looking approach than simply competing on trading fees or asset selection. The success of this strategy will depend on execution, particularly the transparency of the points-to-token conversion process and the overall user experience. Conclusion The planned launch of the xPoints rewards program by xStocks marks a calculated step in the evolution of tokenized stock platforms. By strategically incentivizing traders, liquidity providers, and DeFi builders, the initiative seeks to solve the classic cold-start problem of new financial networks. While the ultimate conversion of points to governance tokens remains unconfirmed, the program establishes a framework for community-led growth. This development, set against the backdrop of increasing RWA tokenization, highlights the ongoing convergence of traditional and decentralized finance. The success of the xStocks rewards program will serve as a valuable case study for how incentive design can drive adoption in regulated digital asset markets. FAQs Q1: What is the xStocks xPoints rewards program? The xPoints program is an incentive system planned by the xStocks platform to reward users for trading tokenized stocks, providing liquidity, and building DeFi applications with its assets. Points may later be convertible into ecosystem rewards. Q2: Who is eligible to earn xPoints? Three primary groups are targeted: traders using the platform, liquidity providers in designated pools, and developers who integrate xStocks tokenized assets into decentralized finance protocols. Q3: Does the xPoints program mean xStocks is launching a token? While xStocks has not officially announced a token, industry analysts and the CoinDesk report suggest the points program could be a precursor to a future token launch, potentially for governance. Q4: How are tokenized stocks different from regular stocks? Tokenized stocks are digital representations of traditional equities issued on a blockchain. They aim to offer benefits like 24/7 trading, fractional ownership, and integration with DeFi applications, but they represent a claim on the underlying security held by a licensed custodian. Q5: What is the connection between xStocks and Kraken? Reports indicate xStocks has “ties to Kraken,” suggesting a strategic or backend relationship with the major cryptocurrency exchange, which may provide regulatory, technical, or liquidity advantages to the platform. This post xStocks Rewards Program Launch: Strategic xPoints Initiative Signals Major Tokenized Stock Evolution first appeared on BitcoinWorld .

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