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

Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

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

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.

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

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

Rank recent market-moving news and explain likely effects on equities, commodities, monetary policy, and earnings.

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.

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

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

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

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.

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