_            _    _        _         _
      /\ \         /\ \ /\ \     /\_\      / /\
      \_\ \       /  \ \\ \ \   / / /     / /  \
      /\__ \     / /\ \ \\ \ \_/ / /     / / /\ \__
     / /_ \ \   / / /\ \ \\ \___/ /     / / /\ \___\
    / / /\ \ \ / / /  \ \_\\ \ \_/      \ \ \ \/___/
   / / /  \/_// / /   / / / \ \ \        \ \ \
  / / /      / / /   / / /   \ \ \   _    \ \ \
 / / /      / / /___/ / /     \ \ \ /_/\__/ / /
/_/ /      / / /____\/ /       \ \_\\ \/___/ /
\_\/       \/_________/         \/_/ \_____\/
python-caerus 1.0.1
Propagated dependencies: python-datazets@1.1.4 python-matplotlib@3.10.8 python-numpy@2.3.1 python-tqdm@4.67.1
Channel: guix-science
Location: guix-science/packages/time-series.scm (guix-science packages time-series)
Home page: https://erdogant.github.io/caerus
Licenses: Expat
Build system: pyproject
Synopsis: Detection of favorable moments in time-series data
Description:

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.

Total packages: 1