This repository demonstrates how to leverage cloud services and GenAI for financial quantitative trading applications, research, and deployment, focusing on scalable, high-performance computing solutions for financial modeling, backtesting, and analysis.
- Factor Mining: Implementation of fast factor mining using cloud GenAI and serverless services.
- Factor Trading: Backtesting factor-based trading strategies with AWS Batch and Airflow
- Agentic Backtesting: Multi-agent system for automated trading strategy development and backtesting using AWS Strands Agent SDK and AgentCore
- AI Fund Manager: Building a personalized investment advisor and portfolio architect using Agentic AI's core patterns
Instructions for setting up the development environment and deploying the sample applications will be provided in each folder.
- Jacky Wu
- Ken Cho
- Melody Lin
- Charlie Chiu
- Kwangwoo Lee
- Haowen Huang
- Dexter Chan
We especially invite AWS experts to submit artifacts that demonstrate quantitative trading solutions on AWS. Please contact awsjacky@amazon.com for more information.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file