This hackathon focuses on the "integration capability of AI and real-time market structure," not winning through programming speed or interface functionality, but rather concentrating on the essence of strategy capabilities.

The globalization of digital asset markets is being accelerated and reshaped by AI technology. To further promote the application of AI in trading decision models, the global digital asset trading platform WEEX officially announced today the launch of the WEEX Global AI Trading Hackathon and has opened the registration portal.

This event has set up a total incentive pool of $880,000, including cash prizes, luxury vehicles, and official collaboration opportunities, which will be open to all global users. Whether you are a quantitative team, model engineer, or individual developer, you can participate freely.

AI is reshaping the trading system, and WEEX aims to establish the first cross-regional "AI Strategy Arena"

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

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

• An open competitive platform for AI trading strategies

• A space for open communication among global quantitative teams

• A channel for showcasing and evaluating high-quality strategy models

• The core entry point for WEEX's future intelligent trading ecosystem

WEEX stated: "The quality of strategies and modeling capabilities are key competitive advantages in the future AI trading era. We hope to attract global developers through this event to jointly push this field towards higher standards."

Event Highlights: A technology-focused hackathon centered on strategy effectiveness, benchmarking real market scenarios

This hackathon focuses on the "integration capability of AI and real-time market structure," not winning through programming speed or interface functionality, but rather concentrating on the essence of strategy capabilities.

The main evaluation dimensions include:

Market Structure Recognition

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

High-Frequency Data Processing Performance

The robustness and execution efficiency of the model under high-dimensional, high-speed data.

Volatility and Drawdown Control Capability

Whether the strategy has adaptive mechanisms to maintain stable performance in different volatility environments.

Extreme Market Response Capability

Simulating black swan scenarios to test the model's risk boundary recognition level.

Generalization Ability and Stability

Whether the strategy can maintain consistency across different time frames, products, and volatility ranges.

All strategy tests will be conducted in the technical environment provided by WEEX, including simulated market data, testing sandboxes, and a unified review system, making the strategy performance more valuable for reference.

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

To encourage global developers to participate in exploration, WEEX has specially set up an incentive pool of up to $880,000, with rewards covering:

• High cash prizes

• Luxury vehicle rewards

• In-depth collaboration opportunities with WEEX's intelligent trading team

• Priority evaluation rights for strategies selected for official intelligent tools

Open to Global Users: Individuals and Teams Can Register

Ethan, co-founder and Chief Security Officer of WEEX, emphasized that this event is not only for developers or professional teams; any global user interested in AI, strategy models, data analysis, or automated trading can register to participate.

The participating groups include:

• AI engineers

• Quantitative teams

• Web3 developers

• Data scientists

• General strategy enthusiasts…

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

Registration Portal Now Open

WEEX has officially opened the registration page, and users can register for the event through the official community, official announcements, or event links. The event will last for several weeks, with the review rules, scoring mechanisms, schedule arrangements, and leaderboard updates announced in succession.

For more details, click here: https://www.weex.com/events/ai-trading

WEEX: Building for the Intelligent Era, Promoting AI Trading Infrastructure Development

Since its establishment in 2018, WEEX has continued to expand its global operational layout, providing users with various products such as spot trading, contracts, and copy trading, while also increasing investment in intelligent directions, including:

• AI information engine

• Intelligent trading tools

• Data center capability building

• Long-term research and development of intelligent strategy products

The official statement reads: "The industry is entering a stage of comprehensive integration of AI and trading. WEEX hopes to make strategies, models, and intelligent tools more popular and of higher quality, and this global hackathon is an important step towards that vision."

【Disclaimer】

This event is initiated by WEEX, aiming to promote research and application of AI technology in the field of digital asset strategy models. 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 promises.

The strategies, models, or technical results used by participating teams during the event are solely for evaluation purposes and do not involve real asset investment or operations. WEEX does not bear any risks or losses that participants may incur from strategy testing, model building, or other technical attempts.

The digital asset industry has various uncertainties, including market volatility, system failures, and policy changes. Users and participating teams should exercise caution and judgment when participating in the event and using related technical tools in the future, and bear their own decision-making responsibilities.

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