Bedrock launches three official events, participating in which you can get multiple rewards

WEEX Labs has officially launched the preliminary round of its global AI trading hackathon, AI Wars: WEEX Alpha Awakens, bringing together hundreds of elite teams to compete in real-market conditions. With a record-breaking $1.88 million prize pool and backing from top-tier sponsors like AWS, the event has quickly become a global proving ground for AI-powered trading strategies. As competition intensifies and standout teams emerge on the leaderboard, the hackathon not only showcases cutting-edge AI execution and risk management, but also offers valuable insights and inspiration for traders looking to build or refine their own AI-driven systems.

An AI trading competition with a $1.88M prize pool — explore WEEX AI Trading Hackathon rules, OpenAPI trading, and AI-only participation requirements.

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Crypto and AI: You Can Buy Anything on Xianyu.

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.

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The integration of artificial intelligence into cryptocurrency trading has evolved from a novel experiment into a core utility. In 2026, AI-driven tools have become indispensable for traders seeking enhanced discipline, superior execution speed, and structured, data-informed decision-making amid market volatility. This guide provides a practical, step-by-step breakdown of how to participate in WEEX Alpha Awakens, with a focused examination of how these strategies are implemented within live trading environments.

In 2025, AI trading has become the default, but Alpha hasn’t disappeared — it’s been eroded by crowding, as similar data, models, and strategies cause traders to act in sync and lose their edge.
Real Alpha has shifted to harder-to-copy layers like behavioral and on-chain data, execution quality, risk management, and human judgment in extreme markets, where acting differently — or not acting at all—matters more than better predictions.

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