china-earnings-preview

Consolidate baseline metrics, consensus estimates, and risk factors for A-share pre-earnings analysis.

705|115|Updated Jun 7, 2026
One-click install
npx skills add https://github.com/jwangkun/claude-for-financial-services-cn --skill china-earnings-preview
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: china-earnings-preview
Source: https://github.com/jwangkun/claude-for-financial-services-cn/tree/main/vertical-plugins/china-finance/skills/china-earnings-preview
Command: npx skills add https://github.com/jwangkun/claude-for-financial-services-cn --skill china-earnings-preview

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Pre-earnings analysis for A-share stocks is complex and time-consuming; this skill consolidates baseline performance, consensus estimates, and scenario planning to prepare for quarterly results.

It builds scenario frameworks (actual vs consensus, beat/miss cases), identifies 3-5 critical metrics to watch, and prepares positioning notes before earnings releases.

Core Features & Use Cases

  • Baseline historical performance synthesis across last 4-8 quarters
  • Consensus estimates gathering from Wind, iFind, AkShare, and broker research
  • Three-scenario framework (bear/base/bull) with target ranges
  • KPI identification and tailored pre-earnings positioning notes
  • Post-earnings follow-up updates to refresh forward estimates

Quick Start

Run the earnings-preview workflow for a selected A-share stock to generate baseline performance, consensus estimates, and scenario analyses.

Frequently Asked Questions about china-earnings-preview

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I prepare a pre-earnings analysis for A-share stocks?

Pre-earnings analysis consolidates baseline historical performance, consensus estimates, and scenario planning to forecast quarterly results. This skill builds bear, base, and bull scenarios, identifies 3-5 critical KPIs to watch, and generates tailored positioning notes before earnings releases.

Can I source consensus estimates from Wind and AkShare for A-share earnings previews?

Yes, consensus estimates gathering sources Wind, iFind, and AkShare data alongside broker research summaries and company announcements to build a reliable pre-earnings context. The skill provides clear guidance on data reliability and caveats for these information sources.

What is a three-scenario framework for quarterly earnings forecasting?

A three-scenario framework models bear, base, and bull cases with target ranges for revenue, earnings per share, and margins. It compares actual versus consensus estimates to define beat or miss cases, helping you prepare pre-earnings positioning notes and post-earnings follow-up updates.

Does this pre-earnings skill support sector-wide quarterly report analysis?

Yes, the pre-earnings analysis applies to quarterly reports across sectors with a focus on revenue, earnings per share, margins, and 3-5 critical KPIs. It synthesizes baseline historical performance across the last 4-8 quarters to establish a reliable baseline for sector stocks.

What are the limitations of using consensus data for A-share pre-earnings positioning?

Limitations include reliance on the availability and accuracy of Wind, iFind, and AkShare consensus data, company announcements, and broker research. The skill includes clear guidance on data reliability and caveats to help you interpret risk factors and adjust forward estimates appropriately.