How a Fully Automated AI Trading Bot Won at WEEX Hackathon (From 0 to AI Agent)

By: WEEX|2026/03/18 16:30:00

• From Assisted to AI Agent Trading: Nick transitioned from AI-assisted trading to a fully automated AI Trading system handling analysis, decisions, and execution

• Trend-Driven Strategy with Rules: Focused on trend markets with structured rules, combining AI signals and indicators like MACD & RSI for better entries

• Challenges in Real AI Trading: Identified key risks in ranging markets and high leverage scenarios, driving ongoing optimization and risk control

• Next Step: Multi-Agent AI Trading: Moving toward a multi-agent architecture to improve decision-making, data coverage, and system resilience

In the WEEX AI Trading Hackathon, Nick was awarded the WEEX x Hubble Special Award, receiving $7K Hubble credits and $1K trial fund. His journey stood out as a transition from traditional trading supported by AI tools to fully automated AI Trading using agent-based systems.

With five years of experience in crypto markets, Nick had previously relied on quantitative strategies supported by AI tools. However, this AI Trading Hackathon marked his first attempt at deploying a complete AI Trading agent, allowing AI to handle analysis, decision-making, and execution in real market conditions on WEEX.

From AI Assistance to Full AI Trading Automation

Before joining the WEEX AI Trading Hackathon, Nick mainly used AI as a support tool. This time, he transitioned to a full AI Trading workflow: AI analysis + AI decision-making + AI execution.

This shift introduced uncertainty, as fully automated AI Trading agents operate with less manual intervention. To reduce risk, Nick leveraged multiple AI systems to validate market conditions and refine his AI Trading strategy, ensuring the agent followed structured logic rather than acting unpredictably.

As the competition progressed, this AI Trading model proved effective—delivering consistent execution aligned with predefined rules, a key advantage in a live AI Trading Hackathon environment.

Strategy Design: Trend-Focused AI Trading System

Nick’s AI Trading strategy was designed around market structure and trend identification. During the Hackathon, he identified a dominant trend environment and deployed a short-focused AI Trading strategy.

To enhance execution, the system integrated indicators like MACD and RSI, helping the AI Trading agent identify optimal entry points. At the same time, strict rules were embedded into the system—such as allowing higher leverage for short positions while limiting long exposure.

This combination of AI-driven market analysis and rule-based execution highlights a core principle of effective AI Trading: structured logic is just as important as predictive capability.

Challenges in AI Trading: Market Adaptation and Risk

Nick observed that AI Trading systems often perform differently across market conditions. While his strategy worked well in trending markets, it faced challenges in ranging environments — a common issue in AI Trading.

In sideways markets, the AI Trading agent could generate frequent trades, leading to losses due to noise and reversals. Additionally, high leverage in volatile conditions introduced risks, especially when AI misjudged oversold signals.

To improve robustness, Nick plans to optimize his AI Trading system by reducing activity in ranging markets and tightening leverage controls. These adjustments aim to enhance stability — an essential factor for long-term success in AI Trading.

-- Price

Multi-Agent AI Trading: The Next Evolution

Looking ahead, Nick plans to upgrade his system using a multi-agent AI Trading architecture.

Instead of relying on a single AI agent, the system will include multiple specialized agents—such as decision agents, research agents, and risk control agents. This structure mirrors professional trading teams and represents a growing trend in advanced AI Trading systems.

With access to broader datasets and more trading pairs, the upgraded system will use cross-market analysis to identify better opportunities. This evolution highlights how AI Trading is moving toward more collaborative and scalable architectures.

AI Trading: Opportunity and Risk

Nick believes that AI Trading is both empowering and competitive. While tools are becoming more accessible, only traders who understand how to use AI Trading systems effectively will gain an edge.

He also emphasized the “black box” nature of AI Trading agents, where decision-making is not always transparent. This makes risk control essential—requiring strict rules, monitoring, and system-level safeguards.

As the AI Trading Hackathon demonstrated, success is not just about strategy ideas, but about execution discipline and system design.

Looking Ahead to the Next WEEX AI Trading Hackathon

With the next WEEX AI Trading Hackathon approaching, the competition is set to bring more advanced AI Trading strategies and real-market experimentation. For traders, builders, and AI enthusiasts, it’s not just a contest—but a front-row seat to how AI Trading evolves in live environments.

Even if you’re not competing, you can still follow the action, observe top-performing AI Trading systems, and learn how different AI agents respond to real market conditions. Watching the competition unfold is one of the fastest ways to understand what actually works in AI Trading.

👉 Register on WEEX to follow the Hackathon, track top strategies, and get ready for Season 2.

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

X: @WEEX_Official
Instagram: @WEEX Exchange
Tiktok: @weex_global
Youtube: @WEEX_Official
Discord: WEEX Community
Telegram: WeexGlobal Group

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.

Simplified Trading Experience: No KYC Required, Opening a Position in Five Steps

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.

Social-Native Trading: Strategy and Execution Completed in the Same Context

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.

Referral Mechanism: Non-institutional users can receive up to 60% fee split

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.

Self-Custody Architecture and Built-in Privacy Mechanism

Mixin's derivative transactions are built on top of its existing self-custody wallet infrastructure, with core features including:

· Separation of transaction account and asset storage

· User full control over assets

· Platform does not custody user funds

· Built-in privacy mechanisms to reduce data exposure

The system aims to strike a balance between transaction efficiency, asset security, and privacy protection.

A New Path for On-Chain Derivatives

Against the background of perpetual contracts becoming a mainstream trading tool, Mixin is exploring a different development direction by lowering barriers, enhancing social and privacy attributes.

The platform does not only view transactions as execution actions but positions them as a networked activity: transactions have social attributes, strategies can be shared, and relationships between individuals also become part of the financial system.

Regulatory Background

Mixin's design is based on a user-initiated, user-controlled model. The platform neither custodies assets nor executes transactions on behalf of users.

This model aligns with a statement issued by the U.S. Securities and Exchange Commission (SEC) on April 13, 2026, titled "Staff Statement on Whether Partial User Interface Used in Preparing Cryptocurrency Securities Transactions May Require Broker-Dealer Registration."

The statement indicates that, under the premise where transactions are entirely initiated and controlled by users, non-custodial service providers that offer neutral interfaces may not need to register as broker-dealers or exchanges.

About Mixin

Mixin is a decentralized, self-custodial privacy wallet designed to provide secure and efficient digital asset management services.

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.

$600 million stolen in 20 days, ushering in the era of AI hackers in the crypto world

Ethereum's biggest enemy is actually AI hackers

Vitalik's 2026 Hong Kong Web3 Summit Speech: Ethereum's Ultimate Vision as the "World Computer" and Future Roadmap

Ethereum's Two Core Tenets: A "World Computer" + Global Broadcast Channel.

On the same day Aave introduced rsETH, why did Spark decide to exit?

The results of two decision-making philosophies have now been quantified

Full Post-Mortem of the KelpDAO Incident: Why Did Aave, Which Was Not Compromised, End Up in Crisis Situation?

Bad Debt, Liquidity Crisis, and DeFi Risk Reassessment

After a $290 million DeFi liquidation, is the security promise still there?

Replacing intermediary credit with code does not automatically equate to greater security

ZachXBT's post ignites RAVE nearing zero, what is the truth behind the insider control?

Perhaps what the cryptocurrency market truly needs is to transform what ZachXBT has done into institutional arrangements: stricter listing review standards, more transparent token distribution information disclosure, and more binding continuous monitoring mechanisms for exchanges.

Vitalik 2026 Hong Kong Web3 Carnival Speech Transcript: We do not compete on speed; security and decentralization are the core

Vitalik Buterin reveals the ultimate vision of Ethereum as a "world computer," announcing a hardcore roadmap for the next five years focusing on scalability, zkEVM, and quantum resistance.

In-depth Analysis of RAVE Events: Short Squeeze, Crash, and Quantitative Financial Models of Liquidity Manipulation

Behind the $RAVE tragedy: a hardcore breakdown of the quantitative model of the short squeeze and chain liquidation by the market makers, revealing how retail investors gradually become the fuel for precise harvesting.

Prediction Markets Under Bias

Why do authoritative narratives always exclude prediction markets?

Stolen: $290 million, Three Parties Refusing to Acknowledge, Who Should Foot the Bill for the KelpDAO Incident Resolution?

The most dangerous scenario right now is that if ETH suddenly drops, Aave's bad debt could snowball even further.

ASTEROID Pumped 10,000x in Three Days, Is Meme Season Back on Ethereum?

「Space Dog」 Triggers ETH Mainnet Price Surge, Sparking SOL Community Anxiety

ChainCatcher Hong Kong Themed Forum Highlights: Decoding the Growth Engine Under the Integration of Crypto Assets and Smart Economy

Why can this institution still grow by 150% when the scale of leading crypto VCs has shrunk significantly?

The merger of the two major payment companies, Bridge and BVNK, establishes their industry position and revenue scale.

Anthropic's $1 trillion, compared to DeepSeek's $100 billion

The capital market has no faith, it only believes in the profit and loss statement.