【招募开启!】AI交易沙盒挑战赛·美股站|AI Trading Sandbox Challenge - U.S. Market

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AI 交易沙盒挑战赛·美股站

主办方：Creek Labs by SAIF Partners
技术合作方：香港大学 HKUDS 实验室



赛事介绍

“如果让 AI 在真实市场结构下交易，它到底能走多远？”

Creek Labs 为开发者、投资爱好者、AI 创作者们搭建了一个开放的实验环境 C Field——这是一个专门为「AI × Trading」设计的线上沙盒。希望通过本次“AI 交易沙盒挑战赛·美股站”，让每个人都能在 C Field 上用自己的方式探索 AI 驱动交易的边界。

这里不是学院研究，也不是投研实训；更像是一次 AI 交易黑客松（Trading Hackathon） + 创意策略大赛。
赛事信息

• 活动形式：
线上初审 → 为期一个月的线上沙盒模拟盘挑战赛 → 实盘测试以及与优秀团队形成长效合作机制。其中线上挑战赛的实时表现将在 Creek Labs 官网通过 Live Trading Board 向全网实时更新。
• 招募目标人群：

• 有意向使用 AI 参与投资研究和决策的普通用户• 会 Prompt 的 AI 使用者• 有开发能力的自研开发者

• 交易范围：美股股票、ETF和期权。• 参赛形式：个人或团队均可，团队 ≤ 3 人• 报名材料：交易策略或技术方案的简要展示材料
（包含：逻辑框架、AI 应用方式、风控方法、调研依据）• 评审团：Creek Labs 投资专家、香港大学技术导师、私募基金 / AI 技术顾问• 沙盒平台：C Field 是 Creek Labs 为此次沙盒挑战赛开发的 AI 交易沙盒平台，提供从 Bot 对话 到 自定义 Agent 再到 自研框架接入 的全链路环境，其中模拟盘基于成熟的美股市场结构。

参赛分组

1. Bot 组：不写代码，也能参赛

• 适合人群：投资爱好者、非技术背景参赛者
通过 C Field 提供的对话式 AI 交易助手（Bot），提升交易逻辑与因子研究效率，叠加参赛者的个人判断，最终形成交易方案，在 C Field 模拟盘界面手动下单
• 限制：不支持自动化执行，Token 限额（保证系统稳定性）• 核心：有想法，让 AI 帮你补足

2. Agent 组：Prompt Engineers 的主场

• 适合人群：会 Prompt、懂投资逻辑、懂得调试基础 Agent 参数，能理解简单基础代码的参赛者
在 Bot 基础上，通过 C Field 提供的自定义 Prompt 的 Agent 面板建立策略 Agent，进行深度交易逻辑与因子研究、形成交易方案，并可通过以下方式执行：

• 全自动执行• 半自动执行（每次下单需确认）• 仅建议模式（后续需人工手动下单）

• 限制：禁止 Agent 执行频率过高，Token 限额较 Bot 组宽松（保证系统稳定性）• 核心：让 Prompt 变成真正能跑的交易 Agent

3. 自研组：真正的 Builder

• 适合人群：能写工程架构、能进行 AI 项目开发的开发型参赛者
致力于以 AI 算法与模型开发为核心，探索利用 AI 发现交易信号和因子的可能；通过接入 C Field 开放接口，将自研项目接入 C Field 获取实时行情并完成交易
• 核心：用技术把交易链路重构

AI Trading Sandbox Challenge · U.S. Market Edition

Presented by:
Creek Labs by SAIF Partners
Powered by:
Data Intelligence Lab@HKU

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Event Introduction

“If we let AI trade in a real market structure — how far can it go?”

Creek Labs has built C Field, an open experimental environment for developers, investors, and AI creators —a sandbox designed specifically for “AI × Trading.”

Through this “AI Trading Sandbox Challenge · U.S. Market Edition,” we invite participants to explore the boundaries of AI-driven trading in their own way.

This is not academic research and not an investment training program —it’s more like a Trading Hackathon + Creative Strategy Competition.
Event Information

• Format:
Online screening → One-month sandbox trading challenge → Live trading tests and potential long-term collaboration with top teams. Real-time performance during the challenge will be displayed on the Creek Labs website via the Live Trading Board.
• Who Should Join:

• Anyone interested in using AI for investment research and decision-making• Skilled AI Prompt users• Independent developers with coding experience

• Trading Scope:
U.S. stocks, ETFs, Options.• Participation Type:
Individual or team (up to 3 members)• Application Materials:
A concise presentation of your trading strategy or technical proposal, including:

• Logic framework• AI application method• Risk control approach• Research basis

• Judging Panel:
Creek Labs investment experts, HKU technical mentors, private fund managers, and AI technology advisors• Sandbox Platform:
C Field is the AI trading sandbox platform developed by Creek Labs for this challenge.It provides a full-stack environment — from Bot-level interaction to custom Agents and independent framework integration, all simulated on the real U.S. market structure.
• Key Evaluation Metrics:
AI experimentation ability, strategic creativity, and technical execution

Competition Tracks

1. Bot Track – Trade Without Code

• For:
Investors and non-technical participants.
Use C Field’s conversational AI trading assistant (Bot) to enhance your trading logic and factor research, combine it with your personal judgment, and manually execute trades on the C Field simulation interface.
• Limitations:
No automated execution; limited Tokens (to maintain system stability)• Core Idea:
Bring your ideas — let AI fill in the gaps.

2. Agent Track – The Arena for Prompt Engineers

• For:
Participants familiar with Prompting, investment logic, and basic Agent tuning, as well as those who can understand simple coding structures. Build your own strategy Agent using C Field’s customizable Agent interface, conduct in-depth research, and execute strategies through one of three modes:

• Fully automated execution• Semi-automated execution (manual confirmation required per trade)• Advisory mode (manual trading after recommendations)

• Limitations:
Restricted high-frequency Agent execution; higher Token limit than the Bot Track (for system stability)• Core Idea:
Turn your Prompt into a truly functioning trading Agent.

3. Developer Track – The True Builders

• For:
Developers capable of designing architectures and building AI-based trading systems. Focus on using AI models and algorithms to detect trading signals and factors. Integrate your project with C Field’s open API, access real-time market data, and execute trades directly.• Core Idea:
Rebuild the entire trading pipeline with technology.