earnings-preview

Official

Pre-earnings analysis: watchlists & scenarios

Authorginlix-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps investment teams prepare for quarterly earnings by assembling consensus estimates, key metrics to watch, and structured scenario plans, enabling faster, more informed positioning ahead of prints.

Core Features & Use Cases

  • Gather and synthesize consensus estimates (revenue, EPS) for a named company and reporting quarter.
  • Build a 3-scenario framework (bull/base/bear) with associated drivers, expected stock move, and risk signals.
  • Produce a concise, one-page output that highlights the metrics to watch, narrative catalysts, and recommended positioning strategies.
  • Use case: before a quarterly earnings release, generate a prep document that guides investment theses, risk assessment, and trading ideas.

Quick Start

Generate a pre-earnings preview for a company and quarter, including consensus estimates, key metrics, scenarios, and a catalyst checklist.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: earnings-preview
Download link: https://github.com/ginlix-ai/LangAlpha/archive/main.zip#earnings-preview

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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