defeatbeta-earnings-preview

Generates pre-earnings analysis reports with weighted decision models and scenario frameworks.

744|60|Updated Apr 9, 2025
One-click install
npx skills add https://github.com/defeat-beta/defeatbeta-api --skill defeatbeta-earnings-preview
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: defeatbeta-earnings-preview
Source: https://github.com/defeat-beta/defeatbeta-api/tree/main/skills/defeatbeta-earnings-preview
Command: npx skills add https://github.com/defeat-beta/defeatbeta-api --skill defeatbeta-earnings-preview

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) components.

What problem does it solve?

Preparing for quarterly earnings releases requires reconciling consensus estimates, management guidance, prior-quarter financials, and options-implied moves into a coherent decision framework, which is time-consuming and error-prone when done manually.

Core Features & Use Cases

  • Normalized Baseline Construction: Builds a bridge from prior reported results to a normalized baseline, separating one-time items from recurring performance using DefeatBeta financial statements and earnings call transcripts.
  • Weighted Decision Model with Veto Gates: Scores five to eight company-specific dimensions on a -2 to +2 scale, applies explicit weights, and enforces Bear veto gates to produce one unambiguous Bull, Base, or Bear scenario.
  • Three-Page Bilingual PDF Reports: Produces decision-ready Chinese or English A4 reports covering setup, decision framework, and a ten-minute post-release trading checklist with clickable source links.
  • Use Case: Before AMD reports quarterly earnings, use this Skill to pull the latest transcript and quarterly statements via DefeatBeta, build a normalized baseline, and generate a three-page PDF preview with scenario bands and an options-implied move analysis.

Quick Start

Use the defeatbeta-earnings-preview skill to build a pre-earnings report for Tesla ahead of its upcoming quarterly earnings release.

Frequently Asked Questions about defeatbeta-earnings-preview

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

FAQPage Schema
How do I build a pre-earnings analysis report for a stock?▼

Provide the company ticker and upcoming earnings date, and the Skill retrieves the latest earnings call transcript and quarterly statements via DefeatBeta, builds a normalized baseline, and outputs a weighted Bull, Base, or Bear scenario with veto gates.

What data sources does the earnings preview use?▼

It uses DefeatBeta for earnings call transcripts and quarterly income statement, balance sheet, and cash flow data, plus linked consensus estimates, company investor relations materials, historical price reactions, and options-implied move sources.

How does the weighted decision model determine Bull, Base, or Bear scenarios?▼

Five to eight company-specific dimensions are scored from -2 to +2 and combined with explicit weights into a score from -1.0 to +1.0. Scores at or above +0.35 indicate Bull, below -0.35 indicate Bear, and company-specific veto gates can override the weighted score.

Can the earnings preview generate a PDF report in Chinese?▼

Yes, it produces three-page A4 PDF reports in both Chinese and English, using the included AMD reference reports as design and quality templates while never reusing their company-specific data or conclusions.

What are the limitations of an earnings preview versus an earnings update?▼

This Skill produces a pre-earnings decision framework, not a post-release update. Scenario outputs are reference ranges rather than point forecasts, and missing data is disclosed as a gap rather than fabricated.