Skip to main content

A minimal yet hyper-efficient backtesting framework for quantitative trading

Project description

hyperquant

hyperquant is a minimalistic framework for quantitative trading strategies. It allows users to quickly validate their strategy ideas with ease and efficiency.

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

hyperquant-1.36.tar.gz (338.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hyperquant-1.36-py3-none-any.whl (212.3 kB view details)

Uploaded Python 3

File details

Details for the file hyperquant-1.36.tar.gz.

File metadata

  • Download URL: hyperquant-1.36.tar.gz
  • Upload date:
  • Size: 338.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for hyperquant-1.36.tar.gz
Algorithm Hash digest
SHA256 82ed71b057a898c803f7f0bc77b151c2a7049910dfbe7e665ce51e54335b7781
MD5 53633b4598c4f0da9937b3d46652ef0f
BLAKE2b-256 17d2fa8c29bb5ab92346620d9a8fe412ebc522873006dc6a121d2beaeb3b0742

See more details on using hashes here.

File details

Details for the file hyperquant-1.36-py3-none-any.whl.

File metadata

  • Download URL: hyperquant-1.36-py3-none-any.whl
  • Upload date:
  • Size: 212.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for hyperquant-1.36-py3-none-any.whl
Algorithm Hash digest
SHA256 9b69cdfdacec303b991b4eda30ee4eecfabbfa39c7371536cb9a034ecd2ba911
MD5 cca35c729a4806ecfda828da196e14fb
BLAKE2b-256 b7a400e4774d005dabf059ff27b3b8974ce82d7116bf8567a3f56c887f9ceb57

See more details on using hashes here.

Supported by

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