AI Agent Skills

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

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

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

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

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

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

Retrieve market prices, histories, fundamentals, options, and news through Yahoo Finance endpoints for research workflows.

Portfolio analytics for quants, written in Python

High performance components for building Trading Platform such as ultra fast matching engine, order book processor

Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.

Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.

AKQuant is a high-performance quantitative research and trading framework built on Rust and Python! 开源量化回测框架

Open-source investment research platform for financial analysis agents.

Access China, Hong Kong, US, fund, futures, bond, and macroeconomic data through Tushare Pro workflows.

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

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