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.