OpenAI Releases GPT-5.2, Focusing on Domain-Specific Tasks and Long-Process AI Agent Design

Key Takeaways: Erebor, a digital bank co-founded by Palmer Luckey, has raised $350 million, bringing its valuation to…

AI trading is already core market infrastructure, but regulators still treat it as a tool — responsibility always stays with the humans and platforms behind it. The biggest risk in 2025 is not rogue algorithms, but mass-adopted AI strategies that move markets in sync and blur the line between tools and unlicensed advice. The next phase of AI trading is defined by accountability and transparency, not performance — compliance is now a survival requirement, not a constraint.

Key Takeaways The AI that rules today’s landscape exists in two forms—a centralized “lighthouse” model by major tech…

Key Takeaways AI agents require the development of robust identity, recourse, and attribution systems to operate autonomously and…

Key Takeaways Nofx’s rise and fall in two months highlights inherent challenges in open source projects. A transition…

Key Takeaways MiniMax, a prominent AI startup, is rapidly progressing towards an IPO on the Hong Kong Stock…

On December 12, 2025, WEEX hosted WEEXPERIENCE Whales Night, an offline community gathering designed to bring together local cryptocurrency community members. The event combined content sharing, interactive games, and project presentations to create a relaxed yet engaging offline experience.

Risk no longer sits primarily in poor decision-making or emotional mistakes. It increasingly lives in market structure, execution pathways, and collective behavior. Understanding this shift matters more than finding the next “better” strategy.

AI is moving from assisting traders to automating the entire research-to-execution process in crypto markets. The edge has shifted from human insight to data pipelines, speed, and execution-ready AI systems, making delays in AI integration a competitive disadvantage.

Retail crypto traders have long faced the same challenges: poor risk management, late entries, emotional decisions, and inconsistent execution. AI trading tools promised a solution. Today, AI-powered copy trading systems and breakout bots help traders size positions, set stops, and act faster than ever. Beyond speed and precision, these tools are quietly reshaping markets — traders aren’t just trading smarter, they’re moving in sync, creating a new dynamic that amplifies both risk and opportunity.

AI Trading is rapidly transforming the crypto landscape. Traditional strategies struggle to keep up with crypto’s nonstop volatility and complex market structure, while AI can process massive data, generate adaptive strategies, manage risk, and execute trades autonomously. This article guides WEEX users through what AI Trading is, why crypto accelerates its adoption, how the industry is evolving toward autonomous agents, and why WEEX is building the next-generation AI trading ecosystem.