caerus
Detection of favorable moments in time series data
OTHER License
caerus
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 :)
Maintainers
- Erdogan Taskesen, github: erdogant
