Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

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

Portfolio Optimization in Python

Python library for portfolio optimization built on top of scikit-learn

A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and produces source-backed visual reports for high-stakes decisions.

For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.

Self-contained floating chat widget with welcome screen, social links, meeting button, and message input. Single HTML file, zero dependencies.

Portfolio analytics for quants, written in Python

🌐 The all-in-one tool, for keeping track of your domain name portfolio. Got domain names? Get Domain Locker!

Portfolio optimization and back-testing.

Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at