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Sample Quantitative Trading on Cloud

This repository demonstrates how to leverage cloud services and infrastructure for financial quantitative trading applications, research, and deployment.

Overview

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.

Key Features

  • Factor Mining: Implementation of multi-factor models for asset pricing and risk analysis using cloud compute services

Getting Started

Instructions for setting up the development environment and deploying the sample applications will be provided in each folder.

Architecture

Details about the cloud services used and the overall system architecture will be documented here.

Contributors

  • Jacky Wu
  • Ken Cho
  • Melody Lin
  • Charlie Chiu

We especially invite AWS experts to submit artifacts that demonstrate quantitative trading solutions on AWS. Please contact [email protected] for more information.

Security

See CONTRIBUTING for more information.

License

This library is licensed under the MIT-0 License. See the LICENSE file

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