In the past hour, total liquidations across the network reached $10.12 million, with $8.60 million from long positions, with $1.52 million from short positions. BTC liquidation $6.49 million, ETH liquidation $1.40 million.

ETF-BTC Trading Statistics 2026-06-19:Yesterday's Bitcoin outflow: 90.70 million USD（1,406.79BTC），with a cumulative net inflow of $-90.70 million，total trading volume of $5.16 billion，and a total market cap of $82.00 billion. ETF-ETH Trading Statistics 2026-06-19:Yesterday's Ethereum outflow: 12.80 million USD（7,316.08ETH），with a cumulative net inflow of $-12.80 million，total trading volume of $457.57 million，and a total market cap of $44.67 million.

According to Odaily Planet Daily, trade.xyz purchased the ZHIPU code on HIP-3 in the early hours of June 19th, and may launch perpetual contract trading for Hong Kong-listed ZHIPU (2513.HK) in the coming days.

According to Coinbase.com, CEO Brian Armstrong stated that Coinbase is evolving into a full-fledged exchange and will fully advance its AI Financial Account, allowing users to assign wallets to AI agents, receive AI-driven financial advice, and connect Coinbase accounts to major mainstream models. Coinbase will restructure Coinbase Advanced, integrating global liquidity between US and international users and between Coinbase and Deribit. The Coinbase Developer Platform will provide enterprises with stablecoin payment capabilities and a compliant escrow account system, and will launch a developer tools dashboard. Base has introduced private trading functionality and launched a version of the Base web application.

According to a report by CryptoWorld, OpenAI has published new research confirming a remarkable "strong generalization" phenomenon in the field of alignment: researchers only need to teach AI to be a "good person" who doesn't lie and is willing to admit mistakes in a very limited number of everyday scenarios, and the AI will automatically behave well in completely new scenarios it has never learned before. Experiments have shown that positive alignment traits also have cross-domain contagion power. The research team focused on training large models in the medical, educational, and scientific fields to cultivate traits such as honesty and humility. Tests revealed that after learning the traits of good people, the models outperformed ordinary models in 44 out of 53 security assessments. The research team believes that injecting reinforcement learning training with kindness allows alignment traits to take root deep within the model, truly achieving a "point-to-area" protective effect.