Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly
Sign up
Appearance settings
@PyQuantSharp
PyQuantSharp
Follow

Quant Sharp PyQuantSharp

💭
Coding
Immersed in Systematic Trading, Portfolio Optimisation & Predictive Analytics through the language of Python.
  • Quant Sphere

Block or report PyQuantSharp

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
Showing results

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

Jupyter Notebook 1 Updated Dec 31, 2024

Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

Python 1 Updated Jun 29, 2026

AltStyle によって変換されたページ (->オリジナル) /