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

A program for financial portfolio management, analysis and optimisation.

A collection of reusable AI agent skills for WordPress plugin development, supporting multiple coding agents like Claude Code, Cursor, and Gemini CLI.

An open source library for portfolio optimisation

Comprehensive guide for Google Apps Script development covering all built-in services (SpreadsheetApp, DocumentApp, GmailApp, DriveApp, CalendarApp, FormApp, SlidesApp), triggers, authorisation, error handling, and performance optimisation. Use when automating Google Sheets operations, creating Google Docs, managing Gmail/email, working with Google Drive files, automating Calendar events, implementing triggers (time-based, event-based), building custom functions, creating add-ons, handling OAuth scopes, optimising Apps Script performance, working with UrlFetchApp for API calls, using PropertiesService for persistent storage, or implementing CacheService for temporary data. Covers batch operations, error recovery, and JavaScript ES6+ runtime. Do NOT use for standalone Node.js scripts, Google Cloud Functions, Cloud Run, or any non-Apps-Script JavaScript runtime - those use different APIs and quotas.

Comprehensive Google Tag Manager guide covering container setup, tags, triggers, variables, data layer, debugging, custom templates, and API automation. Use when working with GTM implementation, configuration, dataLayer push design, custom tag/template building, server-side container setup, GTM API automation, optimisation, or troubleshooting. Do NOT use for direct gtag.js/GA4 setup that bypasses GTM (use the google-analytics skill), Adobe Launch, Tealium, or other non-GTM tag management systems.

Expert guidance for Google Ads Script development including AdsApp API, campaign management, ad groups, keywords, bidding strategies, performance reporting, budget management, automated rules, and optimisation patterns. Use when automating Google Ads campaigns, managing keywords and bids, creating performance reports, implementing automated rules, optimising ad spend, working with campaign budgets, monitoring quality scores, tracking conversions, pausing low-performing keywords, adjusting bids based on ROAS, or building Google Ads automation scripts. Covers campaign operations, keyword targeting, bid optimisation, conversion tracking, error handling, and JavaScript-based automation in the Google Ads scripts editor. Do NOT use for the Google Ads API (Python/REST/gRPC) - this is Ads Scripts only. Do NOT use for Microsoft Ads, Meta Ads, or other non-Google ad platforms.

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.