TL;DR
An open-source platform that empowers quantitative investment research with AI technologies across the entire workflow.
Key features
Supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning.
Integrates RD-Agent, an LLM-based autonomous agent, to automate factor mining and model optimization.
Provides an integrated environment for data processing, model training, backtesting, and production deployment.
When to use it
When developing and validating quantitative strategies using AI.
When rapid transition from research to a live trading system is required.
To enhance research efficiency through automated factor discovery and model optimization.