Champion Crowned at WEEX AI Hackathon: Revealing Strategy That Won $600K

By: WEEX|2026/03/12 09:00:00

TL;DR

Champion Crowned: "todd" wins the WEEX AI Hackathon, taking home a Bentley Bentayga S valued $500K, $80K sponsor gifts, $20K in WXT tokens, and cloud credits—a total prize package of $600K.
Winning Secret: todd treats AI as a “strategy executor”. Success comes from polishing prompts, studying the market, and delivering execution under firm rules.
Advice for Newcomers: “Let AI be your hands, not your opponent.” Human strategy and risk management are irreplaceable.
WEEX AI Hackathon Impact: WEEX explores cutting-edge AI to strengthen its role as an AI trading innovation hub. Season 2 launches in May with upgrades and global participation.

SINGAPORE, March 11, 2026 — The WEEX AI Hackathon, hosted by WEEX Labs, the innovation hub of the top crypto exchange WEEX, has concluded with a spectacular finish. Nearly 300 elite AI trading and quant teams from across the globe battled fiercely in live markets. Emerging as the ultimate champion is "todd" — taking home the exclusive champion prize: a Bentley Bentayga S valued at $500,000, plus an $80,000 sponsor gift pack, $20,000 in WXT tokens, and cloud credits from AWS, Tencent Cloud, and Alibaba Cloud—a total package worth $600,000!

With a background in computer science, software development, and data analysis, todd had only six months of AI trading experience and was participating in his first major AI trading competition. How did he rise to the top so quickly? What strategies powered his win? And how did he harness AI to outperform seasoned competitors? WEEX interviewed with todd and found out his winning secret.

AI Trading Strategy: How Human + AI Collaboration Powered the Winning System

For todd, AI is not an “automatic money machine,” but a “strategy executor.” His secret to victory? Not innate talent, but experience with AI and relentless refinement of prompts.

He combined AI trading tools for maximum effect: GPT to discuss strategy, Gemini to execute trades, and Manus to analyze past positions. Each AI played its strength, complementing the others.

His process followed three clear steps: first, identify the market state—trend, range, or extreme emotion. Second, trade only in high-certainty scenarios. Third, enforce fully rule-based execution, minimizing emotional interference.

Risk management was non-negotiable. Stop-losses and take-profits were always set, trades were skipped during large spreads, and profits were quickly secured to avoid giving them back—“never let gains slip away.”

Dynamic iteration was key. todd analyzed positions and AI performance regularly, adjusting prompts instead of relying on a single strategy. As he says, “In AI trading, the most irreplaceable part is human thinking, judgment, and risk awareness.”

How AI Trading Bots Perform Under Extreme Market Volatility

WEEX AI Hackathon pushed both human and machine to their limits. AI’s emotionless precision became a terrifying advantage: it could instantly flip a losing short into a profitable long without hesitation—a move almost impossible for any human under such pressure.

But it wasn’t just the AI that made the difference. todd’s grit was equally critical. From leading the rankings to plummeting to the bottom, his account teetered on the edge of disaster. Heart racing, he refused to surrender. Every day, he meticulously analyzed positions and iterated his prompts, fighting to stay in the game.

Then came the decisive moment. With the stakes at their peak, todd unleashed a prompt he named “Last Hope.” Leveraging 20x on a full position, he dared to enter only when trends were unmistakably clear. The tension was unbearable, but the risk paid off. Overnight, his account doubled, executing a stunning comeback that none would forget.

-- Price

AI Trading Tips for Beginners: Lessons From a $600K Hackathon Winner

todd urges newcomers: “In the AI trading era, be brave to try trading. Let AI be your hands, not your opponent.”Platforms like Hubble lower the barrier to entry, allowing even beginners to compete at a high level if they leverage AI wisely.

He sees AI trading as early-stage but promising, with a clear window of opportunity. Yet, he warns: AI cannot replace human strategy. “The biggest risk is entering the market without a clear plan. Strategy must be crafted by you, not the AI.”

The field will get more competitive, but those who understand markets, manage risk, and collaborate with AI have a significant advantage.

Why the WEEX AI Hackathon Is Becoming a Global Hub for AI Trading

todd praises the WEEX AI Hackathon and its organizers for a professional, transparent, and engaging platform. Looking ahead, the second season of the Hackathon launches in May with even more upgrades, inviting global competitors to participate.

By hosting the WEEX AI Hackathon, WEEX is not just running a competition, it is shaping the future of AI trading. The Hackathon attracts global talent, encourages experimentation with cutting-edge AI models, and accelerates the development of practical trading strategies. Strategically, it positions WEEX as a hub for innovation, connecting developers, traders, and AI enthusiasts while demonstrating the platform’s robustness and industry-leading tools.

About WEEX

Founded in 2018, WEEX has developed into a global crypto exchange with over 6.2 million users across more than 150 countries. The platform emphasizes security, liquidity, and usability, providing over 1,200 spot trading pairs and offering up to 400x leverage in crypto futures trading. In addition to the traditional spot and derivatives markets, WEEX is expanding rapidly in the AI era — delivering real-time AI news, empowering users with AI trading tools, and exploring innovative trade-to-earn models that make intelligent trading more accessible to everyone. Its 1,000 BTC Protection Fund further strengthens asset safety and transparency, while features such as copy trading and advanced trading tools allow users to follow professional traders and experience a more efficient, intelligent trading journey.