JPMorgan: Hyperliquid ETF capital inflows have stalled, competitive pressure on trading platforms has intensified.

Deutsche Bank said it has upgraded its rating on Netflix (NFLX.O) from Hold to Buy, and cut the stock's target price from $100 to $95.

According to on-chain analyst Ai Yi (@ai_9684xtpa), renowned rapper Kanye West has once again deposited ETH into a trading platform after an 11-month hiatus. One hour ago, he withdrew 1,445 ETH from Aave and subsequently deposited it to Binance, worth roughly $3.91 million. This marks his first such deposit since October 2025, the peak of the previous bull market. He currently holds $26.7 million worth of crypto assets on-chain.

Bitget's market data shows that spot gold has risen nearly 1%, now trading at $4,153.64 per ounce.

According to Bloomberg, Morgan Stanley has established a digital assets lab to test technologies such as stablecoins, tokenization, and decentralized finance (DeFi) applications. The Wall Street bank is exploring how blockchain-based systems can be applied across its businesses. Megan Brewer, head of market innovation and labs at Morgan Stanley, said in an interview that the initiative is part of the firm’s existing network of innovation labs. The network provides employees with dedicated facilities to explore emerging technologies while avoiding risks to the bank’s core systems.

Ondo Perps CEO David Wells noted that the U.S. perpetual contract market holds a "huge opportunity," and it is "meaningful" for Ondo to explore this space. However, he did not confirm whether Ondo will launch perpetual contract products in the U.S. Perpetual contract offerings tailored for the U.S. market may differ from those Ondo provides outside the U.S.

Insight Beating AI News Flash: French AI firm H Company has launched its Computer Use model Holo4, available in two variants: 27B and 35B-A3B. The 27B version is built on the Qwen 3.8 Dense architecture, while the 35B-A3B variant underwent post-training based on the Qwen 3.5 MoE architecture. H Company has focused on enhancing computer operation and long-task execution capabilities, refining its general-purpose model into an Agent model specifically designed for Computer Use. During the supervised fine-tuning phase, H Company utilized a total of 127 billion tokens, roughly three-quarters of which were successful Agent operation trajectories covering desktops, web, mobile, MCP, and APIs. The team then conducted reinforcement learning, training two sets of specialized capabilities separately: one for "desktops and web" and another for "terminals, MCP, and APIs", before merging both into a single model. The company also generated around 10,000 custom software operation tasks to train for cross-application and long-process workflows. H Company further rebuilt its Agent harness, allowing the model to retain memory of prior operations across hundreds of task steps and directly call the computer’s shell. The improvements are most pronounced in long-task performance. Benchmark results show Holo4 27B scored 61.7% on OSWorld 2.0, compared to Qwen 3.8-27B’s official score of 48.0%. On standard OSWorld, Holo4 achieved 85.2%, versus 84.3% for Qwen 3.8-27B. However, the harness, task versions, and evaluation settings for these results are not fully aligned, so they cannot be treated as strictly controlled, same-condition comparisons.