Market data processing pipeline for stock market scanner

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for oldschool-engineer from gravatar.com oldschool-engineer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: The MIT License (MIT)
  • Author: Tom Pounders
  • Requires: Python >=3.14
  • Provides-Extra: testing
Classifiers
Report project as malware

Project description

License PyPI Downloads Build Status CodeQL Advanced codecov GitHub issues GitHub pull requests Documentation

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:

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for oldschool-engineer from gravatar.com oldschool-engineer

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: The MIT License (MIT)
  • Author: Tom Pounders
  • Requires: Python >=3.14
  • Provides-Extra: testing
Classifiers

Release history Release notifications | RSS feed

0.4.13

0.4.12

0.4.11

0.4.10

0.4.9

0.4.8

0.4.7

0.4.5

0.4.4

0.4.3

0.4.2

This version

0.4.1

0.4.0

0.3.15

0.3.14

0.3.13

0.3.12

0.3.11

0.3.10

0.3.9

0.3.8

0.3.7

0.3.6

0.3.5

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.28

0.2.27

0.2.26

0.2.25

0.2.24

0.2.23

0.2.22

0.2.20

0.2.19

0.2.18

0.2.17

0.2.16

0.2.14

0.2.13

0.2.12

0.2.11

0.2.10

0.2.9

0.2.8

0.2.7

0.2.6

0.2.5

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.1.18

0.1.17

0.1.16

0.1.15

0.1.14

0.1.13

0.1.12

0.1.11

0.1.10

0.1.9

0.1.8

0.1.7

0.1.6

0.1.5

0.1.3

0.1.2

0.1.1

0.1.0

0.0.1

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

kuhl_haus_mdp-0.4.1.tar.gz (127.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kuhl_haus_mdp-0.4.1-py3-none-any.whl (86.8 kB view details)

Uploaded Python 3

File details

Details for the file kuhl_haus_mdp-0.4.1.tar.gz.

File metadata

  • Download URL: kuhl_haus_mdp-0.4.1.tar.gz
  • Upload date:
  • Size: 127.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for kuhl_haus_mdp-0.4.1.tar.gz
Algorithm Hash digest
SHA256 cb4a24740dc59ed4401de54339127944e4d47361dfb9e8cce61c8c83c158a35c
MD5 95f882a29edb42c858d0e627fdde15f1
BLAKE2b-256 7c017bed6923e010f6b7ad8df70af77f1b473d6334c58d35d2cab6c7e8c9748f

See more details on using hashes here.

Provenance

The following attestation bundles were made for kuhl_haus_mdp-0.4.1.tar.gz:

Publisher: publish-to-pypi.yml on kuhl-haus/kuhl-haus-mdp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file kuhl_haus_mdp-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: kuhl_haus_mdp-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 86.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for kuhl_haus_mdp-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2fe2fac8114fc6bf3ebb018434f2805e20f7203485b293e8b47549021fd765e4
MD5 4f9294672d82c83df844c0dd7ccff96d
BLAKE2b-256 ef6764e512e6ee1e666df1fcfb7eae64c49df08de80edd46ad8ed3b19294ac7f

See more details on using hashes here.

Provenance

The following attestation bundles were made for kuhl_haus_mdp-0.4.1-py3-none-any.whl:

Publisher: publish-to-pypi.yml on kuhl-haus/kuhl-haus-mdp

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page