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BlockBeats News, on May 15, according to The Washington Post, U.S. President Donald Trump failed to disclose tens of millions of dollars in stock transactions involving Microsoft, Amazon, and other companies within the statutory period, with a delay of several months. According to the latest investment filing, he was fined $200 as a result. The report noted that these transactions involved multiple large-cap technology and financial stocks, with disclosed information indicating asset operations on the order of "tens of millions of dollars." The delay in filing has sparked external concern over whether he is strictly abiding by federal financial disclosure regulations. According to requirements of the U.S. Office of Government Ethics, federal officials must report major financial transactions within the prescribed period, but in practice there are certain delays and relatively light penalties.

Odaily reports that Bitget has announced the launch of a brand-new Bitget AI landing page, further showcasing its product layout for the AI trading ecosystem. Data shows that the number of Bitget AI ecosystem users has surpassed 1 million, with cumulative trading volume reaching 1.2 billion US dollars, and support for more than 58 trading tools covering market analysis, trading assistance, strategy construction, and automated workflows in core scenarios. Under the UEX multi-asset trading framework, Bitget AI has become a crucial arrangement for deeply integrating intelligent systems into trading scenarios on the platform, marking an important step towards its evolution into an Agent Native Exchange. The core products of this ecosystem include the install-free AI agent GetClaw, which provides real-time market insights; the AI assistant GetAgent for strategy execution and automated trading; and the developer platform Agent Hub, which offers open API access and model integration capabilities. Together, these three products collaboratively construct an “insight-strategy-execution” closed loop process, delivering seamlessly connected intelligent trading services for users. Bitget CEO Gracy Chen revealed that in the next phase, new features—including the AI Trading Playbooks currently in internal testing—will be launched successively, aiming to improve the integrated AI trading infrastructure covering strategy creation, backtesting, deployment, and distribution.

BlockBeats reported that on May 15, PancakeSwap announced a significant upgrade to its Perps perpetual contracts product, completely replacing the previous LP liquidity pool-based trading model with a full order book architecture to enhance capital efficiency, price discovery capabilities, and trading execution quality. With this upgrade, the platform introduced Simple Mode, allowing users to open and close positions with a "one-click operation" without the need to set margin mode, order type, or complex trading parameters, significantly lowering the threshold for perpetual contract trading and optimizing the experience for beginner users. At the same time, PancakeSwap retains the Pro Mode for advanced trading, supporting cross/isolated margin, multi-asset collateral, advanced order types such as limit/market/stop-loss/take-profit, and provides a full order book depth view and position management features to meet the needs of high-frequency and professional traders. The new system supports up to 200x leverage (for BTC and major trading pairs) and expands collateral options to include BNB, USDT, BTC, ETH, and various derivative assets. In addition, spot and contract assets are unified under the same wallet system, allowing users to trade without the need for cross-chain transfers or separate accounts. According to the official announcement, the new Perps system is supported by Aster order book infrastructure, aiming to deliver a near-centralized exchange (CEX) level execution experience while maintaining on-chain transparency and a non-custodial trading structure.