Technical indicators suggest that Bitcoin’s ( BTC ) short-term momentum may be sustaining, with the potential to target a new record high in the coming weeks. Specifically, Bitcoin has formed a Moving Average Convergence Divergence ( MACD ) golden cross below the zero line, a setup that has historically preceded strong upside moves, according to pseudonymous cryptocurrency analyst BitBull in a September 10 X post . Bitcoin price analysis chart. Source: BitBull The analyst noted that the last time this pattern appeared, in April, Bitcoin rallied nearly 42% within a month and secured a new all-time high. A similar setup is now forming, suggesting that history may be repeating itself. Bitcoin next price target to watch The projection zone points to a potential surge toward $125,000 if momentum strengthens. Two scenarios are outlined: either an immediate breakout to the target or a brief pullback toward $117,000 before continuation higher. Notably, a MACD crossover under the zero line indicates that selling pressure is easing while fresh bullish momentum enters the market. Bitcoin’s short-term momentum is further supported by easing inflation data. The cryptocurrency jumped after U.S. wholesale inflation unexpectedly declined in August, with the Producer Price Index (PPI) slipping 0.1%, its first drop in four months, following a revised 0.7% gain in July. The weaker print boosted expectations that the Federal Reserve will cut rates at its meeting next Wednesday. Bitcoin price analysis In this context, Bitcoin is pushing toward reclaiming the $115,000 mark. At press time, BTC was trading at $113,332, up almost 2% in the past 24 hours and about 1% on the week. Bitcoin seven-day price chart. Source: Finbold If momentum continues, traders see the $150,000 level as the next major record high to watch. Featured image via Shutterstock The post Bitcoin set for this record target as BTC flashes major bullish signal appeared first on Finbold .
USDH is a new Hyperliquid-native stablecoin project contested by major issuers (Native Markets, Ethena, Paxos, Sky, Frax, Agora) vying for the USDH ticker; validators will vote on the winning issuer
Analysts are once again weighing in on the best crypto to buy in 2025, and the usual meme coin suspects—Dogecoin, Shiba Inu—are back on the list. But a newer name, Layer Brett , is drawing attention for doing something they never did: combining meme energy with real tech. Dogecoin (DOGE): The original meme coin shows signs of slowing Back in 2021, Dogecoin was the king of the memes. Fueled by Elon tweets and pure chaos, it hit $0.73 and made overnight millionaires. Fast forward to now, and it’s still alive—but the shine has dulled. Most Dogecoin price prediction models for 2025 are calling for mild gains at best, with a handful suggesting it might finally touch $1… if the stars align. There’s still a dedicated community behind it, and Dogecoin remains a fixture on major exchanges. But there’s not much happening under the hood. No staking, no real DeFi ecosystem, no fresh upgrades—just vibes. That doesn’t mean it’s dead. It just means it’s grown up. For some investors, Dogecoin still works as a meme-based hedge or a liquidity magnet during bull runs. But for those looking for something with actual momentum—or upside greater than 2x or 3x—it might not be the dog to bet on this time. Shiba Inu (SHIB): A Layer 2 play still searching for upside Shiba Inu has evolved from meme status to something closer to utility, thanks to its Shibarium Layer 2 network. The idea was to turn Shiba Inu into a real ecosystem—with faster transactions, cheaper gas, and support for dApps. And yet, despite all that effort, the Shiba Inu price hasn’t moved much. Burn rates have increased, the dev team keeps teasing updates, and the community remains active. But analysts are cautious. Most 2025 forecasts top out around $0.0001—decent, but hardly life-changing. Without major adoption or a new viral spark, it’s hard to see the kind of 10x or 100x returns traders dream about. It’s also a crowded field now. Every month brings a fresh meme coin, and Shiba Inu is starting to feel like the old guard. For some, that’s reassuring. For others, it’s a reason to move on. Layer Brett (LBRETT): Meme energy with actual infrastructure While older meme coins like Dogecoin and Shiba Inu are still coasting on brand power, Layer Brett is coming in with something they never had—real functionality. Built as an Ethereum Layer 2, it combines low gas fees, lightning-fast transactions, and meme-fuelled marketing into one high-upside package. The Layer Brett project isn’t just talk. The staking engine is already live and paying out over 800% APY. NFT integrations, gamified staking, and a massive $1 million giveaway are driving Layer Brett presale interest sky-high. Every round sells faster, and early adopters are already locking in. At under a cent per token, Layer Brett isn’t trying to beat Dogecoin at its own game—it’s rewriting the playbook. With meme appeal, real infrastructure, and aggressive growth incentives, it’s not just hype anymore. If analysts are tipping anything as the best crypto to buy in 2025, Layer Brett is the one that actually has the runway left to fly. Conclusion The old guard still has followers, but they’re light on upgrades and heavy on nostalgia. Layer Brett offers what Dogecoin and Shiba Inu no longer can—low entry, high yield, and actual momentum. If 2025 is about chasing the best crypto to buy, this one might just check every box. Presale: Layer Brett | Fast & Rewarding Layer 2 Blockchain Telegram: Telegram: View @layerbrett X: (1) Layer Brett (@LayerBrett) / X
Bitcoin price thresholds highlighted in Coinglass data on September 11 indicate that a move above $115,000 corresponds to aggregated short liquidation intensity on mainstream CEXs of roughly $839 million, while
Bitwise Chief Investment Officer Matt Hougan says a “ Solana season” is forming, hinging on pending spot exchange-traded fund (ETF) approvals and corporate treasury demand that he argues could tighten supply and lift prices. Smaller Float, Bigger Impact: Hougan Makes the Solana Argument In a note published this week, Hougan outlines a recipe he says
Litecoin (LTC) rallied ahead of other altcoins on signs of whale accumulation. The token is closely watched for ETF inclusion, as well as treasury-building activities. Litecoin (LTC) is starting a breakout, with gains surpassing other altcoins. For now, LTC remains range-bound, but with expectations for an eventual hike to a higher price range. LTC gained to a local peak of $117.47, though trading volumes are yet to pick up. The token, however, is showing signs of silent whale accumulation. As of August 10, the Litecoin network carried 334 whale transactions valued at over $1M. A total of 1,000 LTC wallets accumulated 181K more coins, showing a readiness to hold the asset for long-term expansion. LTC has invited both whales and mid-range holders in expectation of an eventual LTC ETF, as well as new treasury reserves. Grayscale files to transform its funds into ETFs Grayscale is in the process of upgrading its ETP into a full ETF. Currently, the ETP is trading at a discount against the price on crypto markets. The ETP is relatively idle, as mainstream interest in LTC remains low. The LTCN shares rallied in late 2024, but are yet to regain their premium. Recently, Grayscale filed an S-3 form to transform its previous product. Grayscale holds around 2M LTC in its Trust, which may become the basis for the new ETF. Additionally, an anonymous whale wallet loaded up over 36K coins in the past week, becoming the most active buyer. For now, there is no detailed tracking of LTC purchases or special treasury entities. LTC has been accumulating into large wallets, with those holding 10,000 to 100K coins controlling around 29% of the supply. Another 26% of the supply is held in wallets with 100K to 1M LTC. The coin has multiple whales with the potential to sway the market, or hold onto their assets to create scarcity. MEI Pharma rebrands to Lite Strategy MEI Pharma is moving along with its Litecoin acquisition strategy, starting with a name change. The pharmaceutical company rebranded itself to Lite Strategy, while retaining some of its pharma activity, Cryptopolitan reported. The MEIPS ticker will also be replaced by LITS. The ticker changes, but the asset will remain the same. $MEIP is becoming $LITS . pic.twitter.com/2Oavc0iwTs — Lite Strategy (@LiteStrategy) September 10, 2025 The former ticker still traded at around $3.11, near the lower range for the past month. The company already rallied after the initial $100M treasury announcement. The current treasury holds 929,548 LTC, acquired at $107.58, with a slight premium following the recent market recovery. LTC remains one of the widely used assets, attracting users for payments, arbitrage, and mining. The coin expanded its mining rate for the past year, growing by 200% for the past year to 3 PH/s . However, the coin lacks the meme potential from previous bull markets, even after its attempts at social media presence. Despite this, LTC remains a solid proposition with a long history and growing scarcity. LTC has already mined over 76M coins, out of the total 84M. Get $50 free to trade crypto when you sign up to Bybit now
Major companies are scrapping it out to take control of the USDH stablecoin ticker on Hyperliquid. Here's who's in the mix.
BitcoinWorld OpenAI Secures Monumental $300 Billion Oracle Cloud Deal for AI Compute Power In the rapidly evolving landscape where artificial intelligence intersects with every facet of technology, including the decentralized world of cryptocurrencies, a recent development has sent ripples across the industry. Imagine a future where AI models, ever more complex and demanding, require unprecedented levels of computational power. This future is now being shaped by groundbreaking partnerships, and one such alliance has just made headlines: OpenAI , the pioneer in generative AI, has reportedly inked a monumental cloud computing deal with Oracle, signaling a new era for AI infrastructure. OpenAI’s Strategic Shift: Diversifying Cloud Infrastructure The news broke after Oracle sent its shares soaring, reporting multiple multi-billion-dollar contracts. Now, the veil has been lifted on one of those key partners: OpenAI . According to reports from the Wall Street Journal, OpenAI has committed to purchasing an astounding $300 billion worth of compute power from Oracle over approximately five years, with the procurement set to commence in 2027. If confirmed, this would not only be a landmark agreement but also one of the largest cloud contracts ever signed in the technology sector, underscoring the immense and growing appetite for AI compute resources. This massive investment highlights OpenAI’s strategic imperative to diversify its cloud infrastructure. For years, Microsoft Azure served as OpenAI’s primary, and often exclusive, cloud provider. However, the demands of training and running increasingly sophisticated AI models, such as GPT-4 and future iterations, necessitate a multi-cloud approach. Relying on a single vendor, even a close partner like Microsoft, carries inherent risks related to capacity constraints, potential vendor lock-in, and the need for geographical redundancy and cost optimization. OpenAI began tapping Oracle for compute as early as the summer of 2024, indicating a calculated move towards broadening its computational base long before this reported mega-deal. The move away from an exclusive reliance on Microsoft was also reportedly timed with OpenAI’s involvement in the ambitious Stargate Project. This initiative, which sees OpenAI, SoftBank, and Oracle collectively committing $500 billion towards domestic data center projects over the next four years, further solidifies OpenAI’s intent to build a resilient, high-capacity, and geographically distributed AI infrastructure. This strategic diversification is not merely about increasing capacity; it is about building a robust foundation capable of sustaining the next generation of AI innovation. Oracle Cloud’s Ascendance: A Game-Changer for Enterprise AI For Oracle, securing a deal of this magnitude with a leading AI innovator like OpenAI is a monumental win. It catapults Oracle Cloud into the top tier of cloud providers for AI workloads, directly challenging established giants like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. Oracle’s shares soared following the initial reports of significant new contracts, reflecting investor confidence in the company’s aggressive pivot towards high-performance computing and enterprise AI solutions. Oracle is no stranger to handling massive enterprise workloads, but its recent investments in specialized infrastructure for AI, including high-bandwidth networks and powerful GPU clusters, have positioned it as an increasingly attractive option for AI companies. Its bare-metal cloud offerings, which provide customers with direct access to hardware without a virtualization layer, are particularly appealing for demanding AI training tasks that require maximum performance and minimal latency. The existing relationship with OpenAI, having provided compute since mid-2024, likely played a crucial role in building trust and demonstrating Oracle’s capabilities. This partnership not only validates Oracle’s cloud strategy but also provides a significant revenue stream and market visibility. It signals to the broader enterprise market that Oracle Cloud is a serious contender for the most demanding AI projects, potentially attracting other AI startups and large corporations looking for robust and scalable solutions beyond the traditional hyperscalers. The deal represents a powerful endorsement of Oracle’s technological prowess and its commitment to becoming a dominant player in the AI infrastructure landscape. Fueling the Future: The Insatiable Demand for AI Compute The sheer scale of the reported $300 billion commitment underscores one undeniable truth: the demand for AI Compute is insatiable and growing exponentially. Modern AI models, especially large language models (LLMs) and multimodal AI, require colossal amounts of computational power for both training and inference. Training a single state-of-the-art LLM can consume millions of dollars worth of GPU-hours, and as models become larger, more complex, and trained on ever-expanding datasets, these requirements only escalate. Consider the factors driving this explosive demand: Model Size and Complexity: AI models are growing in parameters, leading to more sophisticated capabilities but also significantly higher computational needs. Data Volume: Training on vast, diverse datasets requires extensive processing power to ingest, clean, and learn from information. Inference at Scale: Once trained, deploying these models for real-world applications (inference) still demands substantial compute, especially for services accessed by millions of users. New AI Paradigms: Advancements in areas like generative AI, autonomous systems, and scientific discovery are constantly pushing the boundaries of what’s computationally feasible. OpenAI’s reported cloud deal with Google this spring, despite the two companies being fierce competitors in the AI race, further illustrates this urgent need. For AI developers, access to diverse hardware architectures, geographic distribution, and redundancy across multiple cloud providers is paramount. It’s a strategic move to ensure uninterrupted access to the specialized hardware (primarily GPUs) that is often in short supply, mitigating risks associated with a single provider’s capacity limitations or outages. OpenAI’s aggressive pursuit of compute resources from various providers highlights a critical bottleneck in the advancement of AI: the availability of raw processing power. The Stargate Project and Beyond: A Half-Trillion Dollar Cloud Computing Deal The reported $300 billion Cloud Computing Deal with Oracle takes on even greater significance when viewed in the context of the Stargate Project. This ambitious initiative, involving OpenAI, SoftBank, and Oracle, aims to invest a staggering $500 billion into domestic data center projects over the next four years. This half-trillion-dollar commitment is not just about purchasing existing cloud capacity; it’s about building the foundational infrastructure for the next era of AI from the ground up. The Stargate Project is envisioned as a network of supercomputing data centers, designed specifically to meet the extreme demands of future AI models. The emphasis on ‘domestic’ data centers points to several strategic considerations: Geopolitical Independence: Ensuring critical AI infrastructure is located within national borders can reduce reliance on foreign entities and enhance data sovereignty. Economic Impact: Such massive investments create jobs, stimulate local economies, and foster innovation in related industries like energy and construction. Security and Resilience: Distributing critical infrastructure domestically can enhance national security and resilience against cyber threats or natural disasters. Energy Considerations: Building new, purpose-built data centers allows for the integration of advanced cooling technologies and potentially renewable energy sources from inception, addressing the significant energy consumption of AI. The scale of this investment dwarfs many other major tech infrastructure projects. It signals a collective belief among these tech giants that the future of AI hinges on an unprecedented expansion of computational resources. This isn’t just a transactional deal; it’s a strategic alliance aimed at shaping the global AI landscape for decades to come, ensuring that OpenAI has the computational muscle required to maintain its leadership in artificial intelligence. What Does This Mean for Data Center Projects and the AI Ecosystem? The ripple effects of such a monumental investment in Data Center Projects will be felt across the entire technology ecosystem. The implications extend far beyond just OpenAI and Oracle, impacting everything from energy grids to supply chains for specialized hardware. Benefits for the AI Ecosystem: Accelerated Innovation: More compute power means faster training cycles, enabling quicker experimentation and deployment of new AI models and applications. Increased Competition: Oracle’s stronger position as an AI cloud provider could foster healthier competition, potentially leading to better pricing and more innovative services from all cloud vendors. Enhanced Resilience: Multi-cloud strategies and geographically distributed data centers reduce single points of failure, making AI services more robust and reliable. New Business Opportunities: The demand for AI-specific infrastructure will drive growth in related sectors, including advanced cooling solutions, energy management, and specialized hardware manufacturing. Challenges and Considerations: Energy Consumption: AI data centers are incredibly energy-intensive. The sheer scale of these projects will place immense pressure on existing energy grids and necessitate significant investment in sustainable energy solutions. Supply Chain Strain: The demand for high-end GPUs, networking equipment, and other specialized components could further strain already tight global supply chains. Environmental Impact: Beyond energy, the construction and operation of massive data centers raise questions about water usage for cooling and the overall carbon footprint. Talent Acquisition: A significant increase in data center infrastructure will require a corresponding surge in skilled engineers, technicians, and AI specialists. Actionable Insights: For Businesses: Companies relying on AI should consider diversifying their cloud strategies to ensure access to sufficient compute and mitigate risks. Explore multi-cloud options and evaluate providers based on their AI-specific offerings. For Investors: Keep a close eye on companies involved in AI infrastructure, including cloud providers, GPU manufacturers, energy solutions, and data center construction. The long-term growth trajectory for AI is directly tied to the expansion of its foundational compute. For Policymakers: Governments will need to address the implications of these large-scale data center projects, particularly concerning energy policy, environmental regulations, and the development of a skilled workforce. The reported partnership between OpenAI and Oracle, coupled with the ambitious Stargate Project, marks a pivotal moment in the history of artificial intelligence. It underscores the monumental investment required to push the boundaries of AI capabilities and build the robust infrastructure necessary for a future powered by advanced intelligence. This is not merely a transaction; it is a strategic maneuver that will reshape the competitive landscape of cloud computing, accelerate AI innovation, and lay the groundwork for a new era of technological advancement. To learn more about the latest AI market trends, explore our article on key developments shaping AI features. This post OpenAI Secures Monumental $300 Billion Oracle Cloud Deal for AI Compute Power first appeared on BitcoinWorld and is written by Editorial Team
Jonathan Gould, Chairman of the US Office of the Comptroller of the Currency (OCC), said that banks must end discrimination in their participation in “legally permissible activities” related to the cryptocurrency sector. Speaking at an event in Washington on Wednesday, Gould argued that he sees cryptocurrencies as a natural extension of financial intermediation services. “I consider many crypto-related activities among the legally permitted transactions that banks want to participate in,” said Gould, adding that the institution will work more closely with banks in this area and draw a roadmap that will ensure the safe conduct of activities. Related News: BREAKING: SEC Releases Update on XRP Spot ETF Application Gould's comments came after President Donald Trump pledged to make the US the “crypto capital of the planet” and signed new legislation, including stablecoin regulations. The Trump administration has recently taken steps to support digital assets, while the OCC has also moved to eliminate the practice of excluding certain individuals and companies from banking services, known as “debanking.” Gould acknowledged that crypto technologies may pose some risks, stating that banks should have the necessary infrastructure in place before undertaking new activities. However, he added, “I don't see innovation as contradictory to security and robustness,” adding that the regulatory approach would not be closed to innovation. *This is not investment advice. Continue Reading: US’s Largest Banking Regulatory Agency Makes a Bullish Statement on Cryptocurrencies
Chainlink co-founder Sergey Nazarov said the partnerships will build trust with the U.S. government, and could one day lead to bigger initiatives—including on-chain voting in federal elections.