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Earnings Preview

Build pre-earnings analyses with consensus estimates, scenarios, and catalyst checklists.

1|Updated May 16, 2026
Search Tags:#scenario analysis#equity research#earnings preview#consensus estimates#catalyst checklist#options implied move#pre-market positioning
One-click install
npx skills add https://github.com/executiveusa/Cheggie-trade-V2 --skill earnings-preview-executiveusa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Earnings Preview
Source: https://github.com/executiveusa/Cheggie-trade-V2/tree/main/core/financial-skills/plugins/vertical-plugins/equity-research/skills/earnings-preview
Command: npx skills add https://github.com/executiveusa/Cheggie-trade-V2 --skill earnings-preview-executiveusa

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Earnings Preview helps you prepare for an upcoming quarterly report by turning scattered estimate data and company guidance into a structured one-page view of what to watch and how the stock may react.

Core Features & Use Cases

  • Consensus-to-framework mapping: Organizes revenue, EPS, margins, free cash flow, and forward guidance versus consensus into a company-specific checklist.
  • Sector-aware operating metrics: Adds the right operational “watch items” for common sectors like Tech/SaaS, Retail, Industrials, Financials, and Healthcare.
  • Bull/base/bear scenario construction: Builds three scenarios that translate operational outcomes into likely stock reactions.
  • Catalyst-driven output: Produces a ranked catalyst checklist and an options-implied move/trading setup section to calibrate expectations.

Quick Start

Use the Earnings Preview skill to generate a one-page earnings preview for a specified company and quarter, including consensus estimates, key metrics to watch, bull/base/bear scenarios, catalyst checklist, and a trading setup tied to the implied move.

Frequently Asked Questions about Earnings Preview

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

FAQPage Schema
How do I prepare an earnings preview with consensus estimates and scenario analysis?▼

An earnings preview maps consensus estimates and prior guidance into a structured framework of what to watch. It organizes revenue, EPS, margins, and free cash flow against sector-aware metrics to build actionable bull/base/bear scenarios before the quarterly report.

What is the best way to build bull/base/bear scenarios for a quarterly earnings report?▼

Building bull/base/bear scenarios requires translating sector-aware operational metrics and company guidance into likely stock reactions. This creates a structured one-page view distinguishing operational outcomes from expected market positioning before earnings.

Can I use options implied move data to calibrate my pre-earnings trading setup?▼

Yes, you can use options implied move data to calibrate pre-earnings trading setup. The analysis incorporates an options-implied move section that translates catalyst drivers and scenario tables into actionable trading calibration expectations.

Does the earnings preview framework support sector-specific operational metrics for equity research?▼

Yes, the earnings preview framework supports sector-aware operational metrics. It adds specific operational watch items tailored to Tech/SaaS, Retail, Industrials, Financials, and Healthcare sectors, refining the consensus-to-framework mapping for accurate equity research.

How do I create a catalyst checklist for pre-market positioning before an earnings call?▼

You create a catalyst checklist by ranking operational metrics, prior guidance, and estimate sourcing into a structured output plan. This identifies the specific catalyst drivers to monitor for pre-market positioning and trading calibration before the quarterly earnings report.

What limitations exist when mapping consensus estimates to a single-page earnings preview?▼

A limitation of mapping consensus estimates to a single page is the dependence on accurate estimate sourcing and available prior guidance. Complex multi-segment businesses may require deeper scenario analysis beyond the structured intermediate framework provided.

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