AI Agent Skills

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.

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.

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.

Answer prediction questions using market trading data, not opinions. Use when the user asks probability questions about geopolitics, economics, markets, industries, or a…

Event-driven backtesting with bar-by-bar execution, complex order types, multiple analyzers, and custom indicators

Claude Code skill: 5 AI agents analyze crypto, stocks, forex & commodities in parallel, adapt to your risk profile, and render an interactive bilingual (EN/ES) dashboard…

Read Discord for financial research using opencli (read-only). Use this skill whenever the user wants to read Discord channels, search for messages in trading servers, v…

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

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

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

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