{"repo":"erdogant/caerus","free":true,"listed":false,"github":"https://github.com/erdogant/caerus","clone":"git clone https://github.com/erdogant/caerus.git","description":"Detection of favorable moments in time series data","language":"Python","stars":36,"topics":["trading-strategies","trading","peak-detection","peak-analysis","optimization-algorithms","time-series-analysis","time-series","stock-data","python"],"license":null,"category":"trading","readme_excerpt":"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 Import caerus package Documentation pages On the documentation pages you can find detailed information about the working of the caerus with examples. Examples Example: Detect peak and valleys in Bitcoin Example: Detect peak and valleys in Facebook Example: 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 :) Maintainers Erdogan Taskesen, github: erdogant","default_branch":null,"files":null,"tree":[],"storefront":"/r/erdogant","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/erdogant/caerus/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}