This repository demonstrates how to leverage cloud services and infrastructure for financial quantitative trading applications, research, and deployment.
This project provides resources, code samples, and architecture patterns for building sophisticated quantitative trading systems using cloud technology. It focuses on scalable, high-performance computing solutions for financial modeling, backtesting, and real-time trading.
- 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
- Investment Advisor: Building a personalized investment advisor using Agentic AI's core patterns
Instructions for setting up the development environment and deploying the sample applications will be provided in each folder.
Details about the cloud services used and the overall system architecture will be documented here.
- Jacky Wu
- Ken Cho
- Melody Lin
- Charlie Chiu
- Kwangwoo Lee
We especially invite AWS experts to submit artifacts that demonstrate quantitative trading solutions on AWS. Please contact [email protected] for more information.
See CONTRIBUTING for more information.
This library is licensed under the MIT-0 License. See the LICENSE file