Market data processing pipeline for stock market scanner

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  • License: The MIT License (MIT)
  • Author: Tom Pounders
  • Requires: Python >=3.12
  • Provides-Extra: testing
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kuhl-haus-mdp

Market data processing library.

Overview

The Kuhl Haus Market Data Platform (MDP) is a distributed system for collecting, processing, and serving real-time market data. Built on Kubernetes and leveraging microservices architecture, MDP provides scalable infrastructure for financial data analysis and visualization.

Key Features

  • Real-time market data ingestion and processing

  • Scalable microservices architecture

  • Automated deployment with Ansible and Kubernetes

  • Multi-environment support (development, staging, production)

  • OAuth integration for secure authentication

  • Redis-based caching layer for performance

Code Organization

The platform consists of four main packages:

  • Market data processing library (kuhl-haus-mdp) - Core library with shared data processing logic

  • Backend Services (kuhl-haus-mdp-servers) - Market data listener, processor, and widget service

  • Frontend Application (kuhl-haus-mdp-app) - Web-based user interface and API

  • Deployment Automation (kuhl-haus-mdp-deployment) - Docker Compose, Ansible playbooks and Kubernetes manifests for environment provisioning

Documentation

For architecture details, component descriptions, and API reference, see the full documentation on Read the Docs.

Additional Resources

📖 Blog Series:

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  • License: The MIT License (MIT)
  • Author: Tom Pounders
  • Requires: Python >=3.12
  • Provides-Extra: testing
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