koreal6803/finlab-ai

Your AI's shortcut to mass-produce alpha-generating quant strategies.

What it solves

FinLab AI provides an AI-driven interface for quantitative trading and stock selection, specifically focused on the Taiwan stock market. It allows users to discover "alpha" (market-beating returns) by leveraging AI to access financial data, strategy examples, and backtesting tools.

How it works

The project implements a Model Context Protocol (MCP) server that integrates with AI agents (like Claude Code, Codex, or Gemini). This allows the AI to use specific tools to list strategies, retrieve Python code for strategies, fetch stock evidence, and access a comprehensive data catalog and documentation. It connects users to FinLab's ecosystem of 900+ data columns and backtesting APIs.

Who it’s for

Quantitative traders and investors interested in the Taiwan stock market who want to use AI agents to research, develop, and backtest trading strategies.

Highlights

  • Hosted MCP server for easy integration with AI agents.
  • Access to over 60 complete strategy examples and a data catalog with 80+ tables.
  • Integration with the sim() API for backtesting and performance metrics.
  • Comprehensive documentation on factor-based stock picking and machine learning feature engineering.

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