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

0.4.1

0.4.0

0.3.15

0.3.14

0.3.13

0.3.12

0.3.11

This version

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-0.3.10.tar.gz (110.5 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-0.3.10-py3-none-any.whl (77.8 kB view details)

Uploaded Python 3

File details

Details for the file kuhl_haus_mdp-0.3.10.tar.gz.

File metadata

  • Download URL: kuhl_haus_mdp-0.3.10.tar.gz
  • Upload date:
  • Size: 110.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for kuhl_haus_mdp-0.3.10.tar.gz
Algorithm Hash digest
SHA256 bc211f481ee19faa55d02b7f46b92ed77475e21476ae50d64d97eccfb2093ffe
MD5 04c9b3d5484debb50eb693775c3b45a5
BLAKE2b-256 ba45f4b717a14fcc742b72519c45e242c5df9b4b8afdf4107df872172c2f3081

See more details on using hashes here.

Provenance

The following attestation bundles were made for kuhl_haus_mdp-0.3.10.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-0.3.10-py3-none-any.whl.

File metadata

  • Download URL: kuhl_haus_mdp-0.3.10-py3-none-any.whl
  • Upload date:
  • Size: 77.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for kuhl_haus_mdp-0.3.10-py3-none-any.whl
Algorithm Hash digest
SHA256 43574b95a5a482ae1097e09c84d7a04b8714fb13d4641aa988a944b509fba744
MD5 09f0581739ff4d854098c899c46dbbd8
BLAKE2b-256 45c9fb32f639a02ef90ee1eaead32930e286e32986e792c27aea7e88c4574030

See more details on using hashes here.

Provenance

The following attestation bundles were made for kuhl_haus_mdp-0.3.10-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