Skip to main content

Python library which enables the discovery and analysis of alpha and risk factors used in the investment algorithm development process

Project description

factorlab

Python library which enables the transformation of raw data into informative alpha and risk factors used in the investment algorithm development process

Installation

$ pip install factorlab

Usage

  • TODO

Contributing

Interested in contributing? Check out the contributing guidelines. Please note that this project is released with a Code of Conduct. By contributing to this project, you agree to abide by its terms.

License

factorlab was created by Systamental. It is licensed under the terms of the Apache License 2.0 license.

Credits

factorlab was created with cookiecutter and the py-pkgs-cookiecutter template.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

factorlab-0.1.9.tar.gz (15.6 MB view details)

Uploaded Source

Built Distribution

factorlab-0.1.9-py3-none-any.whl (15.6 MB view details)

Uploaded Python 3

File details

Details for the file factorlab-0.1.9.tar.gz.

File metadata

  • Download URL: factorlab-0.1.9.tar.gz
  • Upload date:
  • Size: 15.6 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.13 Darwin/23.1.0

File hashes

Hashes for factorlab-0.1.9.tar.gz
Algorithm Hash digest
SHA256 035b2b6eb473cd4616bec67003954d3521262f3e136dd0a4120b2c0a6a15bb7f
MD5 4ca0a463c4e3c351943964bb2eacf1d9
BLAKE2b-256 ba002851c076615505c89676aa88973df4f64dfd6e4c2c328a527dd730bf9d15

See more details on using hashes here.

Provenance

File details

Details for the file factorlab-0.1.9-py3-none-any.whl.

File metadata

  • Download URL: factorlab-0.1.9-py3-none-any.whl
  • Upload date:
  • Size: 15.6 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.13 CPython/3.9.13 Darwin/23.1.0

File hashes

Hashes for factorlab-0.1.9-py3-none-any.whl
Algorithm Hash digest
SHA256 5e91755d0600fb4579d7991004cdcae86cd7b92a175cac5f95abc7bbcda3d759
MD5 60d9b20b1d33b088a7e13a53306e5e20
BLAKE2b-256 ad5e11673a9c79a83287a4b8266c3f60c66151dfe31e0d7c3ae9157764b6a344

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page