Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4)…
Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.
Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks.
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify…
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
A guide to statistical arbitrage, a trading approach that uses historical relationships between securities to seek gains when prices move away from their usual relationship. It covers pair trading, cointegration, principal-component strategies, and industry rotation.
A guide for choosing combinations of quantitative investing strategies based on whether the market is rising, falling, or moving sideways. Quantitative investing uses rules and data to choose investments and trading decisions.
A stock-selection model that estimates whether money is flowing into or out of shares by combining trading volume with price changes. It can use daily data or more detailed minute-by-minute trading data.
A guide to momentum and reversal investing strategies, which choose stocks based on how their prices behaved in the past. Momentum follows recent winners, while reversal looks for previously weak stocks that may recover; A-shares are stocks listed in mainland China.
A guide to building a stock-picking model that combines several measurable signals, called factors, such as valuation, growth, profitability, size, momentum, and volatility. It explains how to test those signals and combine them into a score or statistical model.
A beginner’s guide to quantitative stock selection, which uses measurable rules to choose a group of stocks. It covers company fundamentals, market behaviour, portfolio strategies, and performance evaluation.
A guide to sector rotation, an investment strategy that shifts between stock-market industries as economic conditions change. It focuses on China’s A-share market and uses broad money supply, known as M2, as one signal.
A guide to rotating between investment styles in China’s A-share stock market, such as large versus small companies and value versus growth stocks. It describes market patterns and quantitative models for choosing between them.
A stock-market timing model that uses two calculated price boundaries to identify possible shifts between rising, falling, and sideways markets. It is based on a mathematical model of random price movement and estimated returns and volatility.
A guide to timing stock-market decisions using investor sentiment, meaning how optimistic or pessimistic investors are. It explains how to combine several market indicators into a sentiment index for China’s A-share market.
A beginner’s guide to quantitative market timing, which uses numerical indicators to decide when to buy, sell, or change investment positions. It covers trend, investor sentiment, money-flow, and prediction methods.
A trend-following stock-market timing strategy that uses moving averages and indicators such as MACD, DMA, and TRIX to estimate the market direction. It generates buy or sell signals when indicators cross or agree.