The era of AI trading has arrived: WEEX Global Hackathon launches, with a million-dollar prize pool attracting top teams to participate

The global landscape of digital assets is being rapidly reshaped by AI technology. To further advance the application of AI in trading decision models, the global digital asset exchange WEEX today officially announced the launch of the Global AI Trading Strategy Hackathon (WEEX Global AI Trading Hackathon), with registration now open.

The event features an incentive pool totaling 880,000 USD, including cash prizes, luxury vehicles, and official collaboration opportunities. It is open to all users worldwide—quantitative teams, model engineers, and individual developers alike can participate freely.

AI Is Reshaping the Trading Ecosystem: WEEX Aims to Build the First Cross-Regional "AI Strategy Arena"

With explosive growth in large models, autonomous decision engines, and high-frequency data processing technologies, AI adoption in the crypto market continues to rise. From trend forecasting and risk control to algorithmic execution, intelligent tools are becoming new infrastructure for global traders.

To further drive development in this field, WEEX's global hackathon aims to become:

• A public competitive platform for AI trading strategies

• An open exchange forum for global quantitative teams

• A showcase and evaluation channel for high-quality strategy models

• The core gateway to WEEX’s future intelligent trading ecosystem

WEEX stated: "Strategy quality and modeling capability are key competitive advantages in the upcoming AI-driven trading era. We hope this competition will attract developers globally and collectively push the industry toward higher standards."

Event Highlights: A Technical Hackathon Focused on Strategy Performance and Real-Market Scenarios

This hackathon emphasizes the integration capability between "AI and real-time market structure," prioritizing strategic effectiveness over coding speed or interface functionality.

Main evaluation criteria include:

Market Structure Recognition

Whether the algorithm can identify key structures such as trend changes, consolidation phases, and breakout timing.

High-Frequency Data Processing Performance

The model's robustness and execution efficiency under high-dimensional, high-speed data conditions.

Variance and Drawdown Control Capability

Whether the strategy includes adaptive mechanisms to maintain stable performance across different volatility environments.

Extreme Market Response Capability

Simulated black swan events to test the model's ability to recognize risk boundaries.

Generalization and Stability

Whether the strategy maintains consistent performance across different timeframes, products, and volatility ranges.

All strategy tests will be conducted within a technical environment provided by WEEX, including simulated market data, testing sandbox, and a unified review system, ensuring greater reference value for performance assessment.

880,000 USD Incentive Pool: Cash Prizes + Luxury Vehicles + Collaboration Opportunities

To encourage global developer participation, WEEX has specially established an incentive pool of up to 880,000 USD, offering rewards including:

• High-value cash prizes

• Luxury vehicle awards

• In-depth collaboration opportunities with the WEEX Intelligent Trading Team

• Priority evaluation for inclusion in WEEX’s official intelligent tools

Open to All Global Users: Individuals and Teams Can Register

Ethan, Co-Founder and Chief Security Officer of WEEX, emphasized that this event is not limited to developers or professional teams. Any global user interested in AI, strategy modeling, data analysis, or automated trading can register.

Target participants include:

• AI Engineers

• Quantitative Teams

• Web3 Developers

• Data Scientists

• General strategy enthusiasts...

WEEX CSO Ethan expressed hopes to build a "globally open, technology-driven, multi-ecosystem co-creation" AI trading innovation platform through this initiative.

Registration Is Now Open

WEEX has officially opened its registration page. Users can sign up via official community channels, website announcements, or event links. The event will last several weeks, during which judging rules, scoring mechanisms, schedules, and leaderboard updates will be released progressively.

Visit the details page: https://www.weex.com/events/ai-trading

WEEX: Preparing for the Intelligent Era and Advancing AI Trading Infrastructure

Since its founding in 2018, WEEX has continuously expanded its global operations, offering users a range of products including spot trading, futures contracts, and copy trading. At the same time, it has increased investment in intelligent technologies, including:

• AI news engine

• Intelligent trading tools

• Data center capabilities

• Long-term R&D of intelligent strategy products

Officials stated: "The industry is entering a phase of full integration between AI and trading. WEEX aims to make strategies, models, and intelligent tools more accessible and high-quality. This global hackathon is a crucial step toward that vision."

【Disclaimer】

This event is initiated by WEEX and aims to promote research and application of AI technology in the field of digital asset strategy modeling. All content of the hackathon focuses on technical exploration, algorithm design, and model innovation, and does not constitute any form of investment advice, trading guidance, or profit guarantees.

Strategies, models, or technical outcomes used by participants during the event are solely for evaluation purposes and do not involve real asset deployment or operations. WEEX assumes no responsibility for any risks or losses that may arise from strategy testing, model building, or other technical attempts by participants.

The digital asset industry involves various uncertainties such as market volatility, system failures, and policy changes. Users and participating teams should exercise careful judgment when engaging in the event or using related technical tools in the future, and bear full responsibility for their own decisions.