Detection of favorable moments in time series data
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
<pre><code class="lang-bash">pip install caerus</code></pre>
Import caerus package
<pre><code class="lang-python">from caerus import caerus</code></pre> #
Documentation pages
On the documentation pages you can find detailed information about the working of the caerus` with examples.
Examples
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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
