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Champion Crowned at WEEX AI Hackathon: Revealing Strategy That Won $600K
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.
Register on WEEX to access more trading events: https://www.weex.com/register?vipCode=ey5o
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.
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.
Follow WEEX on social media
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Instagram: @WEEX Exchange
Tiktok: @weex_global
Youtube: @WEEX_Official
Discord: WEEX Community
Telegram: WeexGlobal Group
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The privacy-focused crypto wallet Mixin announced today the launch of its U-based perpetual contract (a derivative priced in USDT). Unlike traditional exchanges, Mixin has taken a new approach by "liberating" derivative trading from isolated matching engines and embedding it into the instant messaging environment.
Users can directly open positions within the app with leverage of up to 200x, while sharing positions, discussing strategies, and copy trading within private communities. Trading, social interaction, and asset management are integrated into the same interface.
Based on its non-custodial architecture, Mixin has eliminated friction from the traditional onboarding process, allowing users to participate in perpetual contract trading without identity verification.
The trading process has been streamlined into five steps:
· Choose the trading asset
· Select long or short
· Input position size and leverage
· Confirm order details
· Confirm and open the position
The interface provides real-time visualization of price, position, and profit and loss (PnL), allowing users to complete trades without switching between multiple modules.
Mixin has directly integrated social features into the derivative trading environment. Users can create private trading communities and interact around real-time positions:
· End-to-end encrypted private groups supporting up to 1024 members
· End-to-end encrypted voice communication
· One-click position sharing
· One-click trade copying
On the execution side, Mixin aggregates liquidity from multiple sources and accesses decentralized protocol and external market liquidity through a unified trading interface.
By combining social interaction with trade execution, Mixin enables users to collaborate, share, and execute trading strategies instantly within the same environment.
Mixin has also introduced a referral incentive system based on trading behavior:
· Users can join with an invite code
· Up to 60% of trading fees as referral rewards
· Incentive mechanism designed for long-term, sustainable earnings
This model aims to drive user-driven network expansion and organic growth.
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Mixin's design is based on a user-initiated, user-controlled model. The platform neither custodies assets nor executes transactions on behalf of users.
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Its core capabilities include:
· Aggregation: integrating multi-chain assets and routing between different transaction paths to simplify user operations
· High liquidity access: connecting to various liquidity sources, including decentralized protocols and external markets
· Decentralization: achieving full user control over assets without relying on custodial intermediaries
· Privacy protection: safeguarding assets and data through MPC, CryptoNote, and end-to-end encrypted communication
Mixin has been in operation for over 8 years, supporting over 40 blockchains and more than 10,000 assets, with a global user base exceeding 10 million and an on-chain self-custodied asset scale of over $1 billion.
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