Factual package intelligence from PyPI

Backtesting-Framework 0.1.6 package intelligence

A comprehensive backtesting framework designed to evaluate and compare various investment strategies using historical data. This framework enables users to implement, test, and analyze trading strategies by providing detailed performance metrics and customizable visualizations. I

pip install backtesting-framework

Current version
0.1.6
Python requirement
!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,!=3.8.*,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
112.3 KiB
Release history
7 releases with files
Median release cadence
0 days

Backtesting-Framework dependencies

PyPI declares 13 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. pandas <3.0.0,>=2.2.3
  2. numpy <2.0,>=1.21.0
  3. matplotlib <4.0.0,>=3.9.4
  4. seaborn <0.14.0,>=0.13.2
  5. plotly <6.0.0,>=5.24.1
  6. scipy <2.0.0,>=1.13.1
  7. workalendar <18.0.0,>=17.0.0
  8. streamlit <2.0.0,>=1.41.1
  9. ipykernel <7.0.0,>=6.29.5
  10. statsmodels <0.15.0,>=0.14.4
  11. tqdm ==4.67.1
  12. numexpr >=2.8.4
  13. bottleneck >=1.3.6

Compatibility and release files

Backtesting-Framework publishes 1 wheel and 1 source archive for version 0.1.6. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.9.

Metadata completeness

PyPI does not currently declare: project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.