Factual package intelligence from PyPI

riskoptima 2.7.0 package intelligence

RiskOptima is a powerful Python toolkit for financial risk analysis, portfolio optimization, and advanced quantitative modeling. It integrates state-of-the-art methodologies, including Monte Carlo simulations, Value at Risk (VaR), Conditional VaR (CVaR), Black-Scholes, Heston, an

pip install riskoptima

Current version
2.7.0
Python requirement
>=3.11
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
196.4 KiB
Release history
58 releases with files
Median release cadence
0 days

riskoptima dependencies

PyPI declares 10 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. numpy >=1.26.4
  2. pandas >=2.1.4
  3. scipy >=1.13.1
  4. statsmodels >=0.14.2
  5. yfinance >=0.2.54
  6. matplotlib >=3.8.4
  7. scikit-learn >=1.5.1
  8. xgboost >=2.1.3
  9. seaborn >=0.13.2
  10. squarify >=0.4.4

Compatibility and release files

riskoptima publishes 1 wheel and 1 source archive for version 2.7.0. Wheel platform tags: any.

Declared Python classifiers: 3.11, 3.12, 3.13.

Security snapshot for riskoptima 2.7.0

An OSV query completed on and found 0 known vulnerabilities affecting this version. 0 advisories are classified as critical. 0 advisories appear in the CISA Known Exploited Vulnerabilities catalog.

Release activity and sources

PyPI lists 58 releases with files. The first dated release is ; 13 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .