Quantitative finance is the use of math and data to make smart trading decisions. This skill helps you build automated trading systems and analyze financial markets. Algorithmic trading and risk models are core parts of this work.
You can create backtesting frameworks to test strategies before using real money. The skill uses Python tools like Pandas and NumPy for fast data crunching. It also applies machine learning to find patterns in price movements.
Portfolio optimization and derivatives pricing are other key areas. This skill is built for analysts, traders, and developers who work with financial data. It helps avoid common mistakes like overfitting or ignoring trading costs.
Global
mkdir -p ~/.claude/skills/quant-analystProject
mkdir -p .claude/skills/quant-analystWind 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