Pundi AI Teams Up with GAEA: Exploring Verifiable Sentiment Intelligence AI

Imagine checking Bitcoin and Ethereum prices in a day — one minute up 5%, the next down 4%. Sharp moves, quick reversals, and sensitivity to macro signals marked the first week of 2026. After an early-year rally, both assets pulled back as markets recalibrated expectations around U.S. monetary policy and institutional flows. For traders — including those relying on AI or automated systems — this period offered a vivid reminder: abundant signals do not guarantee clarity. Staying disciplined in execution is often the real challenge.

WEEX Labs, the innovation arm of WEEX, a leading global crypto exchange serving over 6.2 million users across 150+ countries, is set to kick off the preliminary round of its flagship global AI trading hackathon, AI Wars: WEEX Alpha Awakens, on January 12, 2026. Backed by the strong support of world-class sponsors including Amazon Web Services (AWS), the total prize pool has surged from $880,000 to an unprecedented $1,880,000, positioning AI Wars among the largest AI trading hackathons in the crypto industry. At the top of the leaderboard awaits an extraordinary champion prize — a Bentley Bentayga S, already on standby in Dubai, ready to be claimed by the ultimate AI trading victor.

In crypto markets — one of the most unforgiving non-stationary systems — strategy failure is rarely caused by models being too simple. It happens because most strategies are never truly exposed to live-market pressure. This is exactly the problem WEEX AI Trading Hackathon is designed to surface — shifting the focus from theoretical innovation to real deployability, real execution, and real performance. Among the participating teams, AOT Matrix stood out with advanced AI-driven quantitative capabilities. Through its V4.4 dual-brain architecture, the system achieved end-to-end optimization — from core logic to execution — reflecting the platform’s dual emphasis on innovation and real-world performance.

Key Takeaways: Gold and silver have retaken their positions as the top assets by market capitalization, highlighting their…

In the WEEX AI Trading Hackathon, AOT Matrix chose a more cautious path in system design — one that’s actually harder to pull off in a live trading environment. From the very start, they made clear choices about what role AI should and shouldn’t play in the trading system. We interviewed AOT Matrix about their decision-making logic, the multiple iterations of their system architecture, and what it’s like to implement it under WEEX’s real trading environment and engineering constraints.

AI tokens are outperforming — and not quietly. Bitcoin is moving. Ethereum is holding ground. Yet some of the strongest relative gains are coming from AI-labeled tokens, not majors, not memes. At first glance, this feels intuitive. AI is real technology. It’s shaping industries far beyond crypto. But markets rarely move on intuition alone — especially not this fast. When prices accelerate ahead of adoption, the more useful question isn’t “Is AI important?” It’s which version of the AI story the market is buying — right now.

Cryptocurrency markets operate continuously and move faster than human attention can reliably sustain. Prices react instantly to global events, liquidity shifts across regions, and tradeable opportunities often exist for minutes rather than hours. For many traders, the core challenge is no longer generating ideas, but executing decisions consistently without constant monitoring or emotional interference. This is where AI trading bots are increasingly being adopted — not as profit guarantees, but as tools designed to translate predefined strategies into reliable, repeatable execution.