AI Agent Skills

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

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

Assess business quality, economic moats, management, competitive positioning, and durable value creation.

Fast quantitative research and backtesting workflows for financial agents.

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

Stock analysis skill for market research and financial reasoning workflows.

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.

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

A nimble options research and backtesting library for Python

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

Perform a forensic company financial-statement review across earnings quality, health, fraud risk, and operating efficiency.

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

Research a companys valuation, growth, profitability, balance sheet, competitive moat, and management quality.

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

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