https://github.com/erdogant/caerus

Detection of favorable moments in time series data
https://github.com/erdogant/caerus

optimization-algorithms peak-analysis peak-detection python stock-data time-series time-series-analysis trading trading-strategies

Last synced: over 1 year ago
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Detection of favorable moments in time series data

• Host: GitHub
• URL: https://github.com/erdogant/caerus
• Owner: erdogant
• License: other
• Created: 2019-12-25T10:03:55.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-05-17T14:39:47.000Z (about 2 years ago)
• Last Synced: 2025-03-25T14:44:43.523Z (over 1 year ago)
• Topics: optimization-algorithms, peak-analysis, peak-detection, python, stock-data, time-series, time-series-analysis, trading, trading-strategies
• Language: Python
• Homepage: https://erdogant.github.io/caerus
• Size: 4.78 MB
• Stars: 30
• Watchers: 2
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE
  • Citation: CITATION.cff

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README

          
# caerus

[![Python](https://img.shields.io/pypi/pyversions/caerus)](https://img.shields.io/pypi/pyversions/caerus)

[![PyPI Version](https://img.shields.io/pypi/v/caerus)](https://pypi.org/project/caerus/)

[![License](https://img.shields.io/badge/license-MIT-green.svg)](https://github.com/erdogant/caerus/blob/master/LICENSE)

[![Downloads](https://pepy.tech/badge/caerus)](https://pepy.tech/project/caerus)

[![Downloads](https://pepy.tech/badge/caerus/month)](https://pepy.tech/project/caerus/month)

[![Sphinx](https://img.shields.io/badge/Sphinx-Docs-Green)](https://erdogant.github.io/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

```bash

pip install caerus

```

#### Import caerus package

```python

from caerus import caerus

```

# 

### [Documentation pages](https://erdogant.github.io/caerus/)

On the [documentation pages](https://erdogant.github.io/caerus/) you can find detailed information about the working of the ``caerus`` with examples. 

 


### Examples

# 

* [Example: Detect peak and valleys in Bitcoin](https://erdogant.github.io/caerus/pages/html/Examples.html)



  

  

  

  



# 

* [Example: Detect peak and valleys in Facebook](https://erdogant.github.io/caerus/pages/html/Examples.html)



  

  

  



* [Example: Gridsearch](https://erdogant.github.io/caerus/pages/html/Examples.html#gridsearch)



  

  

  





### 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](https://img.shields.io/github/sponsors/erdogant?label=github%20sponsors&logo=github%20sponsors&style=for-the-badge)](https://github.com/sponsors/erdogant)

   

### Maintainers

* Erdogan Taskesen, github: [erdogant](https://github.com/erdogant)