Algorithmic trading uses computer programs to make fast, data-driven decisions in financial markets. This skill explains how to design strategies, handle market data, and manage risk. It covers everything from simple moving averages to complex high-frequency trading.
You will learn about order books, tick data, and execution algorithms like TWAP and VWAP. The skill also includes code examples for building your own trading strategies and backtesting them.
Whether you are a developer or a finance professional, this guide helps you understand the tools and concepts needed for modern trading.
Global
mkdir -p ~/.claude/skills/trading-expertProject
mkdir -p .claude/skills/trading-expertSource Repository
Wind Mcp Skillwind-information-co-ltd/wind-skills
Fetch real-time and historical financial data on stocks funds and bonds
Backtesting Frameworkswshobson/agents
Build reliable trading backtests that avoid common biases and hidden pitfalls
China Stock Analysissugarforever/01coder-agent-skills
Analyze Chinese A-share stocks with value investing tools made for ordinary investors
Grimoire Polymarketfranalgaba/grimoire
Query Polymarket markets and manage orders straight from your command line
Okx Dex Marketokx/onchainos-skills
Live crypto prices, K-line charts, and wallet PnL analysis for on-chain markets
Coinglassstarchild-ai-agent/official-skills
Real-time crypto derivatives data funding rates open interest liquidations whale positions ETF flows
Stock Analysisgracefullight/stock-checker
Analyze stocks and crypto, manage portfolios, and get performance reports
Akshare Stockmolezzz/openclaw-stock-skill
Ask about Chinese stocks in plain English and get instant market insights