AI Agent Skills

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

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

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

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.

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

TradingAgents: Multi-Agents LLM Financial Trading Framework

Download market data from Yahoo! Finance's API

A local-first personal finance app

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

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

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

Create a multi-perspective technology-company earnings memo with evidence standards, valuation lenses, and anti-bias checks.

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

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.