What problem does it solve?
Investors and analysts often lack a structured, repeatable framework to prepare for company earnings announcements, leading to unplanned losses or missed opportunities when earnings are released and stock prices move sharply.
Core Features & Use Cases
- Consensus Estimate Aggregation: Pulls revenue, EPS, and key segment estimates for A-share, Hong Kong-listed, and US-listed Chinese companies using domestic data sources like AKShare, Tushare, and Wind.
- Sector-Specific Metrics Framework: Generates customized "what to watch" lists tailored to industry verticals, including tech/SaaS ARR, retail same-store sales, and financials NIM.
- Scenario Modeling & Catalyst Identification: Builds bull/base/bear price reaction scenarios and pinpoints the 3-5 core metrics or guidance points that will drive post-earnings stock movement.
- Use Case: Before a major Chinese tech firm releases quarterly earnings, use this skill to compile consensus estimates, map sector-specific operational metrics, build price reaction scenarios, and identify the key guidance points that will move the stock.
Quick Start
Use the earnings-preview skill to build a complete pre-earnings analysis for [company name]'s upcoming [quarter] earnings report, including consensus estimates, key metrics to watch, and bull/base/bear price scenarios.
