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caerus

Detection of favorable moments in time series data

https://github.com/erdogant/caerus

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (13.0%) to scientific vocabulary

Keywords

optimization-algorithms peak-analysis peak-detection python stock-data time-series time-series-analysis trading trading-strategies
Last synced: 6 months ago · JSON representation ·

Repository

Detection of favorable moments in time series data

Basic Info
Statistics
  • Stars: 32
  • Watchers: 2
  • Forks: 4
  • Open Issues: 1
  • Releases: 13
Topics
optimization-algorithms peak-analysis peak-detection python stock-data time-series time-series-analysis trading trading-strategies
Created about 6 years ago · Last pushed 6 months ago
Metadata Files
Readme Funding License Citation

README.md

caerus

Python PyPI Version License Downloads Downloads Sphinx <!---BuyMeCoffee--> <!---Coffee-->

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

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 :)

Github Sponsors

Maintainers

Owner

  • Name: Erdogan
  • Login: erdogant
  • Kind: user
  • Location: Den Haag

Machine Learning | Statistics | Bayesian | D3js | Visualizations

Citation (CITATION.cff) 

# YAML 1.2
---
authors: 
  -
    family-names: Taskesen
    given-names: Erdogan
    orcid: "https://orcid.org/0000-0002-3430-9618"
cff-version: "1.1.0"
date-released: 2020-10-07
keywords: 
  - "python"
  - "time-series"
  - "trading-strategies"
  - "stock-data"
  - "optimization-algorithms"
  - "peak-detection"
  - "peak-analysis"
  - "time-series-analysis"
license: "MIT"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://erdogant.github.io/caerus"
title: "caerus is for the detection of local minima and maxima in time-series analysis."
version: "0.1.0"
...

GitHub Events

Total
  • Release event: 1
  • Watch event: 8
  • Issue comment event: 2
  • Push event: 14
  • Pull request event: 1
  • Fork event: 2
Last Year
  • Release event: 1
  • Watch event: 8
  • Issue comment event: 2
  • Push event: 14
  • Pull request event: 1
  • Fork event: 2

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 115
  • Total Committers: 2
  • Avg Commits per committer: 57.5
  • Development Distribution Score (DDS): 0.174
Past Year
  • Commits: 3
  • Committers: 1
  • Avg Commits per committer: 3.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
erdogant e****t@g****m 95
Erdogan Taskesen 5****a 20

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 2.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • sword134 (1)
Pull Request Authors
  • carlodri (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 1,591 last-month
  • Total docker downloads: 7,835
  • Total dependent packages: 2
  • Total dependent repositories: 2
  • Total versions: 13
  • Total maintainers: 1
pypi.org: caerus

caerus is a Python library for peak detection.

  • Versions: 13
  • Dependent Packages: 2
  • Dependent Repositories: 2
  • Downloads: 1,591 Last month
  • Docker Downloads: 7,835
Rankings
Docker downloads count: 1.5%
Dependent packages count: 3.1%
Downloads: 5.0%
Average: 9.1%
Dependent repos count: 11.6%
Stargazers count: 14.2%
Forks count: 19.1%
Maintainers (1)
erdogant
Last synced: 6 months ago

Dependencies

docs/source/requirements.txt pypi
  • pipinstallsphinx_rtd_theme *
requirements-dev.txt pypi
  • rst2pdf * development
  • sphinx_rtd_theme * development
requirements.txt pypi
  • matplotlib *
  • numpy *
  • pandas *
  • tqdm *
  • wget *
setup.py pypi
  • matplotlib *
  • numpy *
  • pandas *
  • tqdm *
  • wget *
.github/workflows/codeql-analysis.yml actions
  • actions/checkout v2 composite
  • github/codeql-action/analyze v1 composite
  • github/codeql-action/autobuild v1 composite
  • github/codeql-action/init v1 composite