v0.4.5 — matplotlib boxplot compat

Bug Fixes

• Fixed html_montecarlo Max Drawdown boxplot crashing on matplotlib 3.7–3.9 (TypeError from orientation= / tick_labels=). Uses a signature-based compatibility shim so the plot works from matplotlib 3.7 through 3.11+.

Install

pip install -U quantstats-pro

v0.4.4 — clean README install/import snippets

Docs-only patch release.

Changed

• Cleaned up install and import code snippets in README (removed inline comments).

Install

pip install quantstats-pro --upgrade

v0.4.3 — README badges, screenshots, PyPI-compatible links

Docs-only patch release fixing the README shipped in v0.4.2.

Fixed

• Restored shields.io badges (PyPI, Python, CI, License)
• Restored tearsheet screenshots for all four HTML report types
• Fixed interactive classic sample link (HTMLPreview)
• Converted relative doc links to absolute GitHub URLs for PyPI rendering

Install

pip install quantstats-pro --upgrade

v0.4.2

Documentation and naming polish for the Pro tearsheet suite.

• Document the four HTML report types with live samples in the README
• Standardise user-facing Montecarlo naming across reports and docs
• Update the interactive classic tearsheet sample (docs/tearsheet.html)

pip install quantstats-pro --upgrade

v0.4.1 — Monte Carlo tearsheet redesign, alpha decay, multi-model engine

Highlights

• Monte Carlo tearsheet — median Risk Summary, stress envelope, 1y horizon, historical benchmark
• Alpha Decay tearsheet — rolling health monitor with traffic lights, CUSUM, time underwater
• Multi-model engine — GBM, GARCH, Heston, bootstraps, Bayesian + analytics helpers
• Docs — README, docs/montecarlo.md, docs/alphadecay.md

pip install quantstats-pro==0.4.1

Full changelog: https://github.com/diegoalvarezmgl/quantstats-pro/blob/v0.4.1/CHANGELOG.md#041

v0.1.2

Repository

• Added CONTRIBUTING.md, SECURITY.md, issue and PR templates
• Removed broken upstream CI workflows; fixed duplicate CI config
• Updated PyPI publish workflow for Hatchling
• README: crypto example with periods_per_year=365