AI Finance & Quant Investment
5 tools
OpenBB
Open-source investment research platform that integrates multiple financial data sources (Yahoo Finance, Alpha Vantage, etc.) with unified API. Features built-in MCP server for AI agent integration, enabling Claude and other LLMs to query financial data directly.
yfinance
Open-source Python library for accessing Yahoo Finance data. Provides stock, ETF, and crypto historical prices without API key. Essential data source for AI-powered quantitative trading and financial analysis.
TimesFM
Google Research's open-source pretrained time-series foundation model for time-series forecasting. Supports long context (16k) and long-horizon forecasting up to 1k steps, which is widely used for financial and quantitative investment predictions.
VNPy
A comprehensive open-source quantitative trading framework in Python, supports strategy backtesting, live trading across multiple exchanges, and integrates AI/LLM capabilities for financial market analysis and strategy development. Widely used by quant traders in China.
TradingAgents
A multi-agent LLM financial trading framework that mirrors the dynamics of real-world trading firms. It uses specialized AI agents to collaboratively evaluate market conditions and inform trading decisions through structured debates.