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.

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.

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

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

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

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

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

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.

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.