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earnings-preview

Generate structured pre-earnings analyses with consensus estimates and scenario tables.

Updated Aug 23, 2026
Search Tags:#forecasting#earnings#scenario-analysis#financial-metrics#catalyst#equity-research
One-click install
npx skills add https://github.com/brianping7/volc-financial-services-skill-sets --skill earnings-preview-brianping7
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: earnings-preview
Source: https://github.com/brianping7/volc-financial-services-skill-sets/tree/main/equity-research/earnings-preview
Command: npx skills add https://github.com/brianping7/volc-financial-services-skill-sets --skill earnings-preview-brianping7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines preparation for a company's quarterly earnings release by collecting consensus estimates, identifying the metrics most likely to move the stock, and producing a concise pre-earnings briefing that analysts and traders can act on.

Core Features & Use Cases

  • Consensus & timing collection: Locate and record consensus revenue, EPS and key sub-metrics, plus the earnings date/time (pre- or post-market) with source and date.
  • Key metrics framework & scenario analysis: Build company- and industry-specific watchlists (financial and operational metrics) and construct bullish / base / bearish scenarios with drivers and expected stock responses.
  • Catalyst checklist & trade setup: Prioritize 3–5 catalysts, summarize recent stock performance and options implied volatility, and recommend a concise trading/positioning setup. Use case: An equity research analyst preparing a one-page earnings preview for a coverage company ahead of the quarterly call.

Quick Start

Prepare an earnings preview for [Company] for [Quarter] that compiles consensus revenue and EPS, lists the top metrics to watch, builds bullish/base/bear scenarios, and returns a one-page summary with catalysts and a trading setup.

Frequently Asked Questions about 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 quarterly stock release?▼

Pre-earnings analysis is prepared by collecting consensus estimates, identifying key financial and operational metrics, and constructing bullish, base, and bear scenarios to output a concise one-page preview with catalysts and trading setup.

What should be included in an equity research earnings preview?▼

An earnings preview should include consensus revenue and EPS with provenance, release timing, company-specific watchlists, scenario-driven price implications, a catalyst checklist, and a recommended trading or positioning setup.

How do I build bullish, base, and bear scenarios for an upcoming earnings call?▼

Bullish, base, and bear scenarios are built by defining metric drivers for each case and mapping them to expected stock responses, allowing analysts to visualize scenario-driven price implications before the release.

Can I generate a one-page earnings preview with catalysts and trading setup?▼

Yes, you can generate a one-page earnings preview that prioritizes 3 to 5 key catalysts, summarizes recent stock performance and options implied volatility, and recommends a concise trading setup for the release.

Does pre-earnings scenario analysis require consensus estimates with source provenance?▼

Yes, pre-earnings scenario analysis requires sourcing consensus estimates for revenue and EPS with provenance, ensuring analysts track the source and date of the data used in their positioning notes.

What is the best way to identify key metrics that will move a stock before earnings?▼

The best way to identify metrics that move a stock is building a company- and industry-specific watchlist of financial and operational metrics, focusing on the drivers most likely to trigger scenario-driven price implications.

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