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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Agentic AI Hedge Fund OS (AIMM)
| Date | Stars |
|---|---|
| 2026-07-31 | 2175 |
| 2026-08-02 | 2179 |
| 2026-08-06 | 2179 |
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# AI Market Maker: Agentic Trading System for Crypto Hedge Funds <p align="center"> <img src="./assets/aimm.jpg" alt="AI Market Maker banner" width="920" /> </p> [](https://github.com/olaxbt/ai-market-maker/stargazers) [](https://github.com/olaxbt/ai-market-maker/watchers) [](https://github.com/olaxbt/ai-market-maker/network) [](./LICENSE) [](#) [](./web) [](https://x.com/olaxbt) [](https://t.me/OLAXBT_Community) [](https://www.olaxbt.xyz/) [Overview](#-overview) | [Quick Start](#quick-start) | [Docs](#setup-details) | [Contributing](#contributing) | [License](#license) ## Overview **AI-Market-Maker** is an open-source, **hedge-fund-style** trading stack for crypto. It combines **specialist AI trading agents** (acting as trading desks), a **LangGraph** orchestration layer, a **hard Risk Guard veto** before any execution, and quant-grade discipline including centralized policy, benchmarks against buy-and-hold, and full traceability. Designed to feel like a small professional trading firm — not just another bot. ### Key Features - Multi-agent workflow with clear desk responsibilities - Strict **Risk Guard** that can veto any trade - Quant-style backtesting with built-in benchmarks (excess return vs buy-and-hold) - Unified agent interface + governance layer - **OpenClaw-ready packaging** (`SKILL.md` + `manifest.json` + dedicated runners) - Paper trading on Binance Testnet + rich local backtester; Hyperliquid adapter (dry-run) via OMS layer - Modern web dashboard for telemetry and traces - Clean configuration (JSON policy + env for secrets only) --- ## Goals **Current (Trading Mode)** Fetch real-time data, generate signals through specialist agents, run portfolio logic, apply Risk Guard veto, and execute on Binance Testnet. **Near-term** Full position lifecycle, multi-asset portfolio management, configurable leverage, and improved long/short handling. **Longer-term** Deeper agentic capabilities, better OpenClaw integration, and support for additional execution venues and data sources. --- ## Why This Project Stands Out - **Real risk governance** — Risk Guard has final veto power, not just logging. - **Quant discipline** — Every backtest includes clear benchmarks. No hand-waving. - **Standardized agents** — All agents follow the same `Input → Process → Output → Feedback` contract. - **Transparency** — Full traces, reasoning logs, and event ledger. - **Extensibility** — Built with LangGraph, clean personas, and OpenClaw skill packaging. ## System Architecture The workflow mimics a small hedge fund: 1. **Research Desks** — Market Scan, Technical Analysis, Statistical Alpha, Sentiment 2. **Alpha Generation** — Signal synthesis and thesis building 3. **Portfolio Management** — Risk-weighted allocation and trade sizing 4. **Risk Guard** — Final safety layer (can veto everything) 5. **Execution** — Only proceeds if Risk Guard approves <img width="784" height="1138" alt="workflow_diagram" src="https://github.com/user-attachments/assets/fcf5d491-7562-4acc-8499-3d93d24d395b" /> See **[docs/langgraph-workflow.md]
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:a4a4e0bd153df533, desc:agentic