Skip to main content

Python package caerus

Project description

caerus

Python PyPI Version License Downloads Downloads Sphinx

caerus is Python package to compute the local-minima with the corresponding local-maxima within the given time-frame. This approach is designed to for stock-market valley and peak detection.

Here are just a few of the things that caerus does well: - Ouput contains detected start-stop regions of local minima and maxima. - Figures are created. - Parameter gridsearch. - Designed for the detection of complex trend movements.

⭐️ Star this repo if you like it ⭐️

Install caerus from PyPI

pip install caerus

Import caerus package

from caerus import caerus

Documentation pages

On the documentation pages you can find detailed information about the working of the caerus with examples.


Examples


Support

This project needs some love! ❤️

Contribute to this project by feature requests, idea discussions, reporting bugs, opening pull requests, or through Github Sponsors. Your help is highly appreciated.

  • If you wish to buy me a Coffee for this work, it is very appreciated :)

Github Sponsors

Maintainers

Project details


Download files

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

Source Distribution

caerus-0.1.10.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

caerus-0.1.10-py3-none-any.whl (17.5 kB view details)

Uploaded Python 3

File details

Details for the file caerus-0.1.10.tar.gz.

File metadata

  • Download URL: caerus-0.1.10.tar.gz
  • Upload date:
  • Size: 16.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for caerus-0.1.10.tar.gz
Algorithm Hash digest
SHA256 e2cac5a1f1c5cbdebfa687ccb969a64630510f597724a6590049d1ee79452353
MD5 6adb1e87f11c3493389c205abfcb58ac
BLAKE2b-256 d366c16490b7f4a0478193a51483f7d97cf87c53b068b3b1a8d758f8890e654f

See more details on using hashes here.

File details

Details for the file caerus-0.1.10-py3-none-any.whl.

File metadata

  • Download URL: caerus-0.1.10-py3-none-any.whl
  • Upload date:
  • Size: 17.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.12.3

File hashes

Hashes for caerus-0.1.10-py3-none-any.whl
Algorithm Hash digest
SHA256 2c5ab577a7c2e445c06cd926b4ed99676b0997549b48700db0fc241ae5203aee
MD5 c9b6561e0a2935bf6d9fb099fb7ff4c5
BLAKE2b-256 80c7999981ad964078ca19d3441b3ffc822d211bf6dc5f49bf265ed709664a85

See more details on using hashes here.

Supported by

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