ai-hedge-fund
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基于 AI 的对冲基金团队模拟项目。
来源:AI 基于仓库事实生成
· 内容以仓库实际 README 为准
使用说明 查看原始 README 原仓库文档
中文使用说明暂未生成。下面保留原仓库 README 摘录,命令与配置均以原文为准。
原始 README 摘录(英文原文,节选前 3000 字符)
# AI Hedge Fund This is a proof of concept for an AI-powered hedge fund. The goal of this project is to explore the use of AI to make trading decisions. This project is for **educational** purposes only and is not intended for real trading or investment. <img width="2400" height="1460" alt="image" src="https://github.com/user-attachments/assets/e3985623-c226-4c1a-a587-e03fb4eca31e" /> Note: the system does not actually make any trades. [](https://twitter.com/virattt) ## Disclaimer This project is for **educational and research purposes only**. - Not intended for real trading or investment - No investment advice or guarantees provided - Creator assumes no liability for financial losses - Consult a financial advisor for investment decisions - Past performance does not indicate future results By using this software, you agree to use it solely for learning purposes. ## How to Install ```bash pipx install aihf ``` (or `uv tool install aihf`, or `pip install aihf` into an environment of your choice) Then run it from anywhere: ```bash aihf ``` ### API keys The app asks for keys the first time it needs them and saves them to `~/.hedge-fund/.env` — nothing to configure up front. It needs: - A [Financial Datasets](https://financialdatasets.ai) API key, for prices, fundamentals, and earnings. Or, instead of a key, the private key of a Base wallet holding USDC: every call then pays for itself with [x402](https://docs.financialdatasets.ai/x402) (`pip install 'aihf[x402]'`; last 365 days of data, non-professional use). - One model API key for the investor agents. Supported providers: Anthropic, OpenAI, DeepSeek, Google, xAI, Kimi, TypeSafe (Jev). Keys exported in your shell always win over the saved file. ## How to Run ### Interactive app ```bash aihf ``` With no arguments, this launches the interactive terminal app. It has two modes: - **Paper trading** — your funds, each with a ledger of real market days and fake money. Highlight a fund to see what its next run will do; press enter to run it through the next completed session (an approval step shows the exact decision about to execute before anything trades), `s` for its full session history, `h`/`r` for the kill switch. Build a new fund from the same list: strategies, capital, cadence, tickers, and it is live. Every session is appended to a hash-chained ledger in `~/.hedge-fund/paper/<name>/`, so NAV is a track record, not a reset. - **Backtesting** — replay a fund over history and watch its equity curve draw against its benchmark. Results are saved to `~/.hedge-fund/research/`. Fund definitions live in `~/.hedge-fund/mandates/` and carry no tickers; you pick the universe per backtest. ## Development ```bash git clone https://github.com/virattt/ai-hedge-fund.git cd ai-hedge-fund poetry install poetry run aihf poetry run pytest hedge_fund ``` ## How to Contribute 1. Fork the repository 2. Create a featur阅读完整原文
项目深度分析 AI 生成
云端多智能体投研与模拟交易 SaaS (WebUI)
| 产品构想 | 将 CLI 交互模式包装为现代化的 Web SaaS,内置多模型 API 代理和金融数据,用户无需配置终端即可创建基金、配置 Agent 并运行模拟交易与回测。 |
| 核心功能 | 一键部署基金、可视化多智能体对话与决策流、历史回测对比走势图、模拟盘实时盈亏面板、每日调仓研报邮件推送 |
| 目标用户 | 不熟悉命令行工具的美股零售投资者、投研爱好者 |
| 难度/周期 | 中等 · 4-6 周 · 成本:中等(全栈 Web 开发、Serverless 后端、模型与金融数据 API 转售调用成本) |
| 收费模式 | 月度/年度订阅制(分阶梯限制调用次数、监控标的数量、历史回测范围) |
| 竞争风险 | 合规与免责风险(需严格限制为虚拟投研/模拟盘);LLM API 与金融数据调用成本高昂易被薅羊毛 |
| 依据 | 已验证事实(原项目仅提供 CLI 和 TUI 交互,自带 backtesting/paper trading 概念) |
定制化投资风格 Agent 市场与策略模板库
| 产品构想 | 基于原项目支持的多模型与 Agent 架构,开发并售卖特定投资大师风格(如巴菲特价值型、西蒙斯量化型、索罗斯宏观对冲型)的 Prompt/配置包与知识库插件。 |
| 核心功能 | 预调优的投资决策 Agent 配置文件、特定策略回测表现数据集、研报抓取解析插件、社区策略分享与导入功能 |
| 目标用户 | 深度量化爱好者、自研量化交易者、投研分析师 |
| 难度/周期 | 低 · 2-3 周 · 成本:低(静态资源与策略设计、提示词工程与基准测试) |
| 收费模式 | 数字商品单次购买或会员订阅(Gumroad / 独立站下载) |
| 竞争风险 | 提示词易被泄露与复制;策略失效导致用户流失 |
| 依据 | 已验证事实(原项目支持 strategies, mandates, investor agents 概念) |
券商实盘交易网关与风控中间件
| 产品构想 | 桥接该项目的决策输出与实盘券商(如 Interactive Brokers, Alpaca 等),提供从信号生成、人机协同确认(Human-in-the-loop)到最终下单的自动化流程工具。 |
| 核心功能 | 券商 API 桥接适配器、风险控制拦截网(单笔上限/止损熔断)、多渠道确认通知(Telegram/Webhook 一键授权交易)、详细审计日志 |
| 目标用户 | 高阶量化交易员、技术型高净值散户 |
| 难度/周期 | 高 · 8-12 周 · 成本:中等(需维护实盘接口、极高安全性要求、高可用基础设施) |
| 收费模式 | 私有化部署买断许可 + 高级技术支持年费,或按交易量收取微额技术服务费 |
| 竞争风险 | 金融监管合规法律风险(如无牌投顾/代客理财质疑);实盘亏损引发的用户纠纷风险 |
| 依据 | 推测(原项目明确注明 'does not actually make any trades' 且仅供教育研究,实盘自动化是高阶用户自然延伸诉求) |
AI 基于仓库公开数据分析生成,含推测成分,不构成收益承诺。
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项目优势与风险
| 技术成熟度 | 创建时间待补全,最近推送 ,发布过 24 个 Release |
| 社区活跃 | Star 64,650 / Fork 0 / Issue 0(数据支持,可自行核实) |
| 许可证 | 未检测到(需人工确认) |
| 主要风险 | 上游项目方向可能变化;同赛道竞争者较多(见竞品表);热度与需求不完全等价 |
安装与使用
此项目未提供 Docker 镜像,安装步骤以原仓库 README 为准(涉及依赖安装与环境配置,对新手门槛较高)。