AI Agent Skills

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

A nimble options research and backtesting library for Python

Open-source Rust framework for building event-driven live-trading & backtesting systems

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

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

Complete and link income statement, balance sheet, and cash flow statement model templates with formulas and checks.

Open-source investment research platform for financial analysis agents.

Stock analysis skill for market research and financial reasoning workflows.

Estimate a public companys intrinsic value through DCF, relative, and sum-of-the-parts valuation methods.

Prepare a pre-earnings briefing with consensus estimates, beat-miss history, and current market context.

Create a global market conditions report spanning equities, rates, FX, commodities, risk appetite, and sector rotation.

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.

Research a US equity across fundamentals, valuation, technical context, peers, and current market data.

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

Look up A-share, Hong Kong, and US stock tickers and retrieve historical OHLCV price data for research.