Ai Trading System
Description
AI-powered quantitative trading platform with autonomous factor discovery, multi-agent orchestration, and production-grade persistence
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
AI Trading System
[](https://www.python.org/downloads/) [](https://fastapi.tiangolo.com/) [](https://react.dev/) [](https://opensource.org/licenses/MIT)
**An AI-powered quantitative trading platform with autonomous factor discovery, multi-agent orchestration, and production-grade persistence.**
[Features](#features) • [Architecture](#architecture) • [Quick Start](#quick-start) • [Documentation](#documentation) • [Contributing](#contributing)
Overview
AI Trading System (IQFMP - Intelligent Quantitative Factor Mining Platform) is a comprehensive platform for automated quantitative trading research and execution. It leverages Large Language Models (LLMs) and multi-agent systems to discover, validate, and deploy trading factors with minimal human intervention.
Key Highlights
- Autonomous Factor Discovery: LLM-powered hypothesis generation and factor coding
- Multi-Agent Orchestration: LangGraph-based collaboration between specialized agents
- Production-Grade Persistence: PostgreSQL/TimescaleDB with strict mode enforcement
- Rigorous Evaluation: Purged K-Fold CV, Walk-Forward validation, IC/IR analysis
- Real-time Dashboard: React 19 + TypeScript frontend with live monitoring
- Exchange Integration: CCXT-based cryptocurrency trading (Binance, OKX, etc.)
Features
🤖 Multi-Agent System
| Agent | Role |
|---|---|
| Hypothesis Agent | Generates trading hypotheses based on market insights |
| Factor Generation Agent | Translates hypotheses into executable factor code |
| Evaluation Agent | Validates factors with multi-dimensional metrics |
| Risk Agent | Assesses portfolio risk and position sizing |
| **Stra |
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