Docker Workflow for Algorithmic Trading

Introduction

Downtime and errors can significantly impact algorithmic trading strategies. To minimize these issues, our project template utilizes Docker to create a robust and isolated environment for each trading strategy.

Key Benefits

1. Reliability: Tested code runs with minimal issues, reducing downtime and errors.
2. Isolation: Each strategy operates in its own container, preventing conflicts between different codebases or module versions.
3. Consistency: Docker ensures that your strategy runs in the same environment during development, testing, and production.
4. Scalability: Easily deploy and manage multiple strategies on remote servers.

How It Works

Our Docker workflow uses a layered approach:

1. Base Images: We create foundational images with common functionalities shared across strategies.
2. Strategy-Specific Containers: Each trading strategy runs in its own Docker container, ensuring full isolation.

This approach allows you to:

• Develop and test strategies independently
• Use different versions of modules for each strategy
• Prevent changes in one strategy from affecting others

Getting Started

We've prepared a sample project template that includes:

• Hot reloading for rapid development
• Deployment scripts for easy production rollout

To get started:

1. Clone the repository:

   git clone https://github.com/superalgorithm/project_template

2. Follow the instructions in the README file to set up your environment and start developing your first strategy.