AI Agent Skills

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

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

Backtest phase 3.6 of threat-model production against historical findings before sign-off. USE WHEN a draft model must prove it can uniquely route real reports.

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

Use this skill to find high-quality dividend growth stocks (12%+ annual dividend growth, 1.5%+ yield) that are experiencing temporary pullbacks, identified by RSI overso…

Content-addressed experiment tracking for ML trading models. Use when versioning models, features, or experiment artifacts for reproducibility.

Detect and prevent overfitting to historical data via multiple testing corrections and pre-registration. Use when evaluating strategy variants to ensure performance is n…

How the Strategist works with the user to turn their own trading idea into explicit rules, backtest it honestly on Hyperliquid candle and funding history, and paper-trad…

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

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

Generate accurate, runnable quantitative strategy code for the JoinQuant (聚宽) platform. Use this skill when the user asks to write a stock/ETF/futures backtest, paper-tr…

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.

Combinatorial Purged CV generates a distribution of backtest paths instead of a single estimate. Use when quantifying strategy robustness and overfitting probability.

Cointegration testing for pairs trading using Engle-Granger, Johansen, and rolling stability analysis

Generate comprehensive performance reports from backtest returns. Use when summarizing backtest results for review or comparison.