earnings-forecast

What problem does it solve?

This Skill eliminates the guesswork in earnings-driven trading by unifying macro-to-company forecasts with analyst consensus, surfacing SUE and PEAD signals that highlight price moves triggered by expectation gaps.

Core Features & Use Cases

• Top-down and bottom-up forecasting: Blend macro GDP, industry revenue, and company-level revenue/expense assumptions into an EPS projection framework.
• Consensus deviation metrics: Compute SUE, dispersion, and analyst expectation momentum (ERM, eps_change_pct) to quantify surprise potential and build trade conviction.
• PEAD holding rules: Align earnings calendar events with configurable holding periods, stop-loss, and position limits so analysts can systematically capture post-announcement drift.
• Use case: Apply the framework to an A-share consumer staple (e.g., 贵州茅台) to model EPS, compare against Wind/东方财富 consensus, and trade signals when SUE exceeds thresholds ahead of quarterly reports.

Quick Start

Use the earnings-forecast skill to compare your EPS projections with consensus data and output SUE-based trade signals.