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The U.S. federal court dismissed the lawsuit against Binance and Changpeng Zhao related to terrorism

A federal judge in Manhattan, Jeannette Vargas, dismissed a civil lawsuit that sought to hold Binance and its founder CZ accountable, accusing their trading activities of aiding terrorist organizations in carrying out global attacks.The judge found that the 535 plaintiffs (including victims and their families) failed to reasonably explain that the defendants "intentionally conspired with the terrorist attacks, participated in their execution, or ensured the success of the attacks through their actions." The plaintiffs alleged that the attacks occurred between 2017 and 2024 and were carried out by external terrorist organizations such as Hamas, Hezbollah, the Iranian Revolutionary Guard, ISIS, Kata'ib Hezbollah, the Palestinian Islamic Jihad, and Al-Qaeda, attempting to attribute hundreds of millions of dollars in cryptocurrency and transactions with Iranian users to Binance and CZ.The judge noted that while Binance and CZ may have some awareness of the potential for terrorist financing through the exchange, their relationship with terrorist organizations was limited to "their or their affiliates' accounts on Binance and trading in a fair manner." The judge also criticized the plaintiffs' 891-page, 3,189-paragraph complaint as "entirely unnecessary," but allowed for amendments. A Binance spokesperson stated, "The court correctly dismissed these baseless allegations. Binance strictly adheres to compliance requirements and has a zero-tolerance policy for illegal activities on the platform." CZ also mentioned that the plaintiffs were attempting to leverage Binance's acknowledgment in November 2023 of violating anti-money laundering and sanctions laws and paying a $4.32 billion penalty to seek triple damages.

Bybit launches the first AI trading competition for retail users on a centralized exchange, with a prize pool of up to 360,000, and the champion will receive 88,888 USDT

The cryptocurrency exchange Bybit is officially opening the "AI vs Human: 1v1 Trading Competition" event to retail users today, providing an opportunity for users to face off against advanced artificial intelligence models. This three-week event runs from today until March 27, and successfully participating users can be randomly matched with over 30 AI models provided by the platform or institutions, including top models like ChatGPT, Gemini, Claude, DeepSeek, Qwen, and Kimi, with a total prize pool of up to 360,000 USDT.This event offers flexible competition duration options, allowing users to choose trading times of 1, 2, or 4 hours. Each match won will earn double points, while a loss will yield regular points. The higher the trading volume, the more points earned.Bybit provides users with two prize pools:Daily leaderboard: The top 1,000 users with the highest daily points can share a daily prize pool of 73,500 USDT, with a maximum win of 3,500 USDT.Total points leaderboard: The top 5,000 leaders with the highest cumulative total points after the competition can share a prize pool of up to 288,888 USDT, with the champion receiving 88,888 USDT.It is worth mentioning that this competition also includes 6 professional teams, including Amazon Web Services, AlibabaCloud, AI Agent trading institution NOFA.ai, as well as AYC Fund, ALPHAGATE, and QuantumEdge. The retail version of this competition provides users with pre-selected world-class AI opponents, allowing users to click on the AI teams to view the real-time performance of each AI's returns, while eliminating the need for complex API integration, enabling users to compete with AI at the lowest technical threshold.

Gate launches AI Quant Workbench, enabling natural language zero-code generation of executable trading strategies

The digital asset trading platform Gate has launched a no-code AI quantitative workstation, which allows users to generate trading strategies through natural language and deploy them to live trading with one click. Users do not need to write code; they simply describe their trading ideas in natural language, and the system automatically generates executable quantitative strategies. It also conducts backtesting based on real historical market data, supporting one-click deployment to operate in the real market. The platform connects natural language strategy generation, production-level backtesting engine, and real trading execution, forming a complete closed loop of "strategy conception --- data validation --- trading execution," significantly lowering the barriers to quantitative trading.At the same time, Gate has launched Gate for AI, building a unified AI capability interface system that integrates five key capabilities: CEX, DEX, wallets, real-time information, and on-chain data. The AI quantitative workstation further expands application scenarios on this basis, extending AI from data and research to strategy generation and trading execution. With the continuous integration of AI and trading infrastructure, Gate is continuously strengthening AI-driven trading capabilities and advancing the implementation of the Intelligent Web3 strategy.
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