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

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

This version

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-0.2.26.tar.gz (80.9 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-0.2.26-py3-none-any.whl (61.3 kB view details)

Uploaded Python 3

File details

Details for the file kuhl_haus_mdp-0.2.26.tar.gz.

File metadata

  • Download URL: kuhl_haus_mdp-0.2.26.tar.gz
  • Upload date:
  • Size: 80.9 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-0.2.26.tar.gz
Algorithm Hash digest
SHA256 af9efab8c862acebdab87d7ec2a3d1d8bb5cecfb80a50dee74ac0650f693b1d9
MD5 3fe7944b6d8e2e662fd30e3e509f1750
BLAKE2b-256 54218ce84463d862e7512cc094dc0b96e0b4fe8e0b278797f3afcd0bfd88aa29

See more details on using hashes here.

Provenance

The following attestation bundles were made for kuhl_haus_mdp-0.2.26.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-0.2.26-py3-none-any.whl.

File metadata

  • Download URL: kuhl_haus_mdp-0.2.26-py3-none-any.whl
  • Upload date:
  • Size: 61.3 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-0.2.26-py3-none-any.whl
Algorithm Hash digest
SHA256 57f148a4650e872dd5621f1c0d226c634b2b79f988a7f0398a7dcb8e5cb28f56
MD5 21752b60f7a743eced4fb8a49e01e1e2
BLAKE2b-256 b8a18d96ff018fb92dc4963ead926f29d64d0b827ecf6ad7445a6a8e97ae4448

See more details on using hashes here.

Provenance

The following attestation bundles were made for kuhl_haus_mdp-0.2.26-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