【crypto strategy backtesting platform for dca automation platform】
发布时间：2026-04-04 08:49:59 来源：Vertex Review 作者：Auto Trading
-
GOOGLE SAYS BREAKING BITCOIN IS EASIER THAN PREVIOUSLY THOUGHT : Breaking the Bitcoin blockchain with quantum computers may not be crypto strategy backtesting platform for dca automation platformas difficult as once thought, and Bitcoin’s Taproot technology, which enables more efficient, private transactions, may be partly to blame, Google's Quantum AI team said in a blog post and newly published whitepaper . The team said the computing power required to break Bitcoin’s security may be far lower than previously assumed, raising fresh questions about how soon quantum threats could become a reality.In a new whitepaper, researchers found that cracking the cryptography used by Bitcoin and Ethereum could require fewer than 500,000 physical quantum bits, or qubits, well below the “millions” often cited in recent years. Google has previously pointed to 2029 as a potential milestone for useful quantum systems, saying migration needs to come before that , making the paper’s finding that attacks may require less computing power more significant. Quantum computers use qubits instead of traditional bits and can solve certain problems much faster than today’s machines. One of those problems is breaking the type of encryption that protects crypto wallets.Google said it designed two potential attack methods, each requiring roughly 1,200 to 1,450 high-quality qubits. That is a fraction of earlier estimates and suggests the gap between current technology and a viable attack may be smaller than investors think. The research also outlines how such an attack could work in practice. Rather than targeting old wallets, a quantum attacker could go after transactions in real time. When someone sends bitcoin, a piece of data called a public key is briefly revealed. A fast enough quantum computer could use that information to calculate the private key and redirect the funds. — Sam Reynolds Read more .\n\nOPENAI RAISES RECORD $122 BILLION : Artificial intelligence giant OpenAI has closed $122 billion in committed capital at an $852 billion post-money valuation, a round that dwarfs anything raised in private markets and cements the company as the most valuable startup in history by a wide margin. The funding was anchored by Amazon, Nvidia, and SoftBank, with continued participation from Microsoft. SoftBank co-led alongside a16z, D.E. Shaw Ventures, MGX, TPG, and accounts advised by T. Rowe Price. The investor list reads like a who's who of global capital — BlackRock, Blackstone, Fidelity, Sequoia, Temasek, Coatue, and ARK Invest all participated. For the first time, OpenAI opened participation to individual investors through bank channels, raising over $3 billion from that tranche alone. OpenAI said it is generating $2 billion in revenue per month, up from $1 billion per quarter at the end of 2024. ChatGPT has more than 900 million weekly active users and over 50 million subscribers. The company claims 6x the monthly web visits and mobile sessions of the next largest AI app, and 4x the total time spent of all other AI apps combined. — Shaurya Malwa Read more .\n\nHOW BITCOIN, ETHEREUM, AND SOLANA ARE PREPARING FOR Q-DAY : As quantum computing edges closer to practical reality, the crypto industry is beginning to confront a question it has long deferred: what happens if the cryptography underpinning trillions of dollars in digital assets no longer holds? The answers, so far, are anything but uniform. Across many of the most well-known ecosystems like Bitcoin, Ethereum, and Solana, responses are diverging along familiar lines: what to do on social consensus and technical iteration, and community members are split between caution and acceleration. Quantum computing is a fundamentally different approach to computation that uses the principles of quantum mechanics rather than classical physics. Instead of traditional bits that are either 0 or 1, quantum computers use “qubits,” which can exist in multiple states at once, a property known as superposition, allowing them to process many possibilities simultaneously. Combined with another feature called entanglement, this enables quantum machines to solve certain complex problems far more efficiently than classical computers, particularly tasks like factoring large numbers that underpin modern encryption. How threatening is quantum computing? Consider this: Quantum computers can solve extremely complex problems within seconds, whereas 'Supercomputers,' the most powerful computing machines available today, would take thousands of years for the same problems, according to IBM. And that's why the threats to cryptographic networks stemming from quantum computing are concerning. And even Google, developer of Willow, a quantum supercomputer, is setting a 2029 deadline to migrate its authentication services to post-quantum cryptography, citing progress in the technology. — Margaux Nijkerk Read more .\n\nBASE TEAM RELEASES 2026 ROADMAP: Base, the layer-2 network from Coinbase (COIN), is doubling down on its push to build what it calls a “global onchain economy,” outlining a 2026 strategy centered on markets, payments and developers. Base is one of the most widely used layer-2 networks in the Ethereum ecosystem, having opened to public use in August 2023. It was initially built using Optimism’s OP Stack as part of the broader “Superchain” ecosystem, though the project has since signaled plans to differentiate its infrastructure as it scales. In February, the Coinbase team said the chain will increasingly rely on its own, in-house code. Layer-2 blockchains are built on top of Ethereum and aim to increase speed and lower costs by processing transactions themselves, while still relying on Ethereum for security. The model has become a key part of Ethereum’s scaling strategy, enabling cheaper and faster transactions without moving activity entirely off the network. More recently, however, some Ethereum leaders, including co-founder Vitalik Buterin, have signaled a shift in focus toward scaling the base layer itself , leaving open questions about how layer-2 networks will fit into Ethereum’s evolving roadmap. For 2026, Base said it will focus on three areas: expanding onchain markets, scaling stablecoin-based payments and growing its developer ecosystem — a push that comes as onchain trading venues and stablecoins see rising adoption among institutional players. — Margaux Nijkerk Read more .
- 上一篇：Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- 下一篇：Crypto Long & Short: Governance is the real Layer 1
- Common mistakes to avoid with Market Analysis 613
- Advanced insights into Algorithmic Trading 932
- Why Signal Execution matters in volatile markets 507
- Why Automated Crypto Trading matters in volatile markets 301
相关文章
- Oil trader takes $17 million hit as tokenized crude rivals bitcoin liquidations
- Common mistakes to avoid with Futures Trading 590
- What traders should know about Strategy Backtesting 962
- What traders should know about Webhook Trading 780
- Crypto Long & Short: Governance is the real Layer 1
- Why Mobile Trading App matters in volatile markets 759
- Beginner guide to Trading Dashboard 668
- Common mistakes to avoid with Bot Performance
- Ripple Treasury puts XRP and RLUSD inside corporate finance for the first time
- How Market Analysis supports long term strategy development 513
- Franklin Templeton launches crypto division with 250 Digital acquisition
- Key benefits of Execution Speed for modern traders 998
- Beginner guide to Webhook Trading 920
- How Risk Management improves daily trading workflows 824
- The Protocol: Quantum computing could break Bitcoin sooner, says Google
- Common mistakes to avoid with Market Analysis
- Key benefits of Paper Trading for modern traders 209
- How Mobile Trading App improves daily trading workflows 939
- Franklin Templeton launches crypto division with 250 Digital acquisition
- How Signal Execution improves daily trading workflows
随便看看
Why more users are adopting Strategy Backtesting 262
Why Automated Crypto Trading matters in volatile markets 621
Common mistakes to avoid with Market Analysis 853
Key benefits of Algorithmic Trading for modern traders 872
- Copyright © 2026 Powered by 【crypto strategy backtesting platform for dca automation platform】,Vertex Review sitemap