AI Agent Skills

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.

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

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

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

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

Retrieve official Federal Reserve economic series for GDP, inflation, rates, employment, money supply, and volatility research.

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

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source…

Audit concentration, factor exposure, correlation, liquidity, and stress-test risks in an existing portfolio.

Build an upcoming US earnings calendar with dates, timing, consensus estimates, and market-impact context.

AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库

Measure portfolio returns, risk, drawdowns, benchmarks, rolling metrics, and strategy performance from approved data.