CFTC releases agenda for first meeting of its Innovation Advisory Committee, focusing on regulation of crypto assets, AI, and prediction markets.

Last week, 75% of stocks in the S&P 500 Tech sector closed above their 200-day moving average (DMA), marking the first time this threshold has been hit since October 2024, ending a 219-trading-day stretch of prolonged weakness. This is the 9th-longest downturn on record, with the longest such stretch in history lasting 759 trading days, ending after the dot-com bubble burst on April 22, 2003. Historical data shows that after the end of such prolonged downturns, the tech sector posts an average gain of 2.5% in the following month, 7.3% in three months, 15.5% in six months, and a whopping 33.4% in 12 months. Meanwhile, 69% of stocks in the Nasdaq 100 index are now above their 200-day moving average, near the highest level since July 2025. This notable improvement in the breadth indicator signals that the tech stock rally is expanding beyond a handful of heavyweight stocks to the broader sector, as market momentum builds. The tech sector had previously faced multiple headwinds including memory chip sell-offs, deleveraging of leveraged ETFs, and concerns over AI capital expenditures; this technical repair provides positive support for future market performance.

According to HTX market data, Bitcoin has dropped below $63,000, with a 24-hour decline of 1.03%.

AI data platform Databricks announced it has closed a $5 billion strategic funding round at a $190 billion post-money valuation. The term sheet published on July 16 had set a $188 billion valuation, with the final figure rising due to an expanded funding size and additional share issuance. The round was led by existing shareholder Coatue, with participation from Blackstone, MGX, and T. Rowe Price, while Sixth Street Growth joined as a new investor. The company’s annualized revenue run rate has exceeded $7 billion, growing over 80% year-over-year. Co-founder and CEO Ali Ghodsi stated that, per the industry definition used before 2022, AGI has arrived—with the real bottleneck now shifting to enterprise context, AI token costs, and agent infrastructure. The new capital will be allocated to three core areas: Unity AI Gateway (for cross-model routing and spend control), Lakebase (a serverless Postgres database whose revenue run rate has already topped $100 million), and Genie (which provides AI with access to enterprise context). Ghodsi also revealed that the company’s likelihood of going public before Anthropic or OpenAI is "very low". He had repeatedly denied summer funding rumors earlier, and the final decision to raise capital was based on factors including the cost of expanding its AI business and increasing investment in hiring and mergers and acquisitions.

According to GMGN data, Binance Wallet’s stock-themed meme token UTILITY rallied sharply today, surging past $10 million in market cap with a 24-hour trading volume of $17.48 million, before pulling back to $7.5 million at press time. As early as January 30, CZ (Binance CEO Changpeng Zhao) posted that GameStop (GME) should issue a utility token on the blockchain, preferably on BSC (Binance Smart Chain). Today, bStocks’ official account reposted CZ’s old tweet and announced that GMEB, the tokenized GameStop stock on bStocks, is now tradable on the platform. BlockBeats notes that UTILITY’s trading pair is UTILITY/GMEB, not the typical BNB or USDT liquidity pair. This falls under the current popular “stock meme” trend on BSC, using bStocks’ US stock token (GMEB) as the liquidity pool, centered on the classic narrative of GameStop’s retail investors vs. Wall Street and meme stocks. BlockBeats reminds users that most meme coins lack real use cases, are highly volatile, and investors should exercise caution.

Advisor to Iran’s Supreme Leader Muheber stated that if Iran’s proposed conditions are not met, the Supreme Leader has clearly made a strategic decision to respond by escalating conflicts. Muheber added that the current situation has proven the United States’ inability to protect its allies in the Persian Gulf. The most sustainable path to establishing a new regional order lies in promoting the implementation of the "Hormuz Economic Security Mechanism" to reduce reliance on U.S. military guarantees. (Xinhua News Agency)

Ethereum Foundation core researcher Justin Drake announced in a post that Ethereum Layer 1 (L1) will abandon Poseidon, the SNARK-friendly hash function that has been dominant since 2019, in favor of traditional hash functions such as SHA2 or BLAKE2s. This reversal stems from a breakthrough in SNARK design, centered on "hash-friendly SNARKs" rather than the prior approach of "SNARK-friendly hashes". By natively aligning Boolean operations in traditional hashes with binary fields, proof performance for traditional hash calls in SNARKs has reached 1 million per second, with overhead of just around 100x—a stark contrast to the previously extremely expensive operations in large prime fields. Drake dubbed this "science-fiction-level cryptography" and named contributors to key research breakthroughs including Binius and Flock. The shift will push Ethereum’s hash-based cryptography to the peak of minimal assumptions, while drastically accelerating deployment: there is no need to wait for years of cryptanalysis maturity for Poseidon. The Ethereum Foundation’s (EF) post-quantum team is advancing rapidly, with a roadmap targeting a production-grade leanVM in 2027, and deployment of the consensus, execution, and data layers in 2028. Drake also noted that AI’s enhanced cryptanalysis capabilities have recently dealt successive setbacks to lattice-based schemes (HAWK) and isogeny-based schemes (SQIsign), while hash-based schemes are emerging as the leading candidates for post-quantum signatures in blockchains. The trend of open-source automated research is also accelerating; SNARK.fast has achieved 1.8 million BLAKE3 proofs per second.