WEEX Alpha Awakens Final Round Has Officially Begun

AI traders! Win $1.88M & a Bentley by crushing WEEX's live-market challenge. Tencent Cloud powers your AI Trading bot - can it survive the Feb 9 finals?

Learn how AI agents use stablecoins for crypto trading in 2026 — managing capital, settling transactions, and operating across exchanges and DeFi protocols.

The WEEX AI Trading Hackathon is currently open for registration, and we're excited to reveal the incredible prize pool for the grand finale. With everything from luxury cars to substantial financial support, this prize pool not only rewards the top performers but also offers invaluable resources for future growth.

Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

Nick’s journey on WEEX shows that successful AI Trading isn’t just about strategy ideas—but about structured AI agents, disciplined execution, and continuous adaptation in real market conditions.

Discover the best AI crypto trading bot on WEEX. Learn how AI trading works, how to trade automatically, and why this system stands out among top AI trading apps.

AI crypto trading bots like OpenClaw and AI trading apps are reshaping digital markets. From BTC liquidations to crypto bubble charts, automated trading is expanding alongside free crypto airdrops, affiliate programs, LALIGA partnerships, and tokenized gold markets.

Ivan’s Shadow Trading AI secured second place in the WEEX AI Trading Hackathon, demonstrating how AI trading systems built on real market expertise can perform under live market conditions.

AI has become critical infrastructure, and governments and corporations are competing to control it. Centralized development and regulation are entrenching existing power structures. The Web3 community is building a decentralized alternative — distributed compute, token incentives, and community governance — before that window closes.

A self-taught AI trading enthusiast achieved top-10 results at the WEEX AI Hackathon. Learn about the mindset, AI tools, and lessons behind this impressive performance.

Rift, one of the Third Prize teams in the WEEX AI Trading Hackathon, shares how trusting their system helped the strategy stay resilient in live market volatility.

A trader with only 6 months of AI trading experience won $600,000 at the WEEX AI Hackathon. Discover the strategy, tools, and lessons behind this breakthrough victory.

Finalist Bambi shares how AI tools helped turn real trading experience into an automated strategy, why survival-first risk control shaped the system’s design, and how the approach will evolve ahead of WEEX AI Trading Hackathon Season 2.

OpenClaw is a rapidly growing AI agent on GitHub that can automate tasks and even execute crypto trades through exchange APIs. Learn how OpenClaw works, how it connects to exchanges, and the risks traders should understand before using AI trading agents.

The first-ever WEEX AI Hackathon has concluded, with 10 winners emerging from over 200 global teams. Beyond its $1.8 million prize pool, the event marked a milestone—proving that the future of AI trading belongs to accessible, AI-powered innovation.

A Top 10 finalist in the WEEX AI Hackathon shares how a market-neutral AI trading system competed against high-leverage strategies in live crypto markets.

After a logic failure dropped him to 27th place, ClubW_9Kid rebuilt his AI trading framework and finished 4th in the WEEX AI Hackathon. In this interview, he explains the lessons behind disciplined AI execution, risk control, and why survival beats complexity in algorithmic trading.