earnings-trade-analyzer

Score post-earnings stock setups with a 5-factor system and export JSON and Markdown reports.

Updated Mar 25, 2026

Search Tags:#api #reporting #momentum #screening #earnings #stock-analysis

Ready to run

npx skills add https://github.com/MileniumTick/skills --skill earnings-trade-analyzer-mileniumtick

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: earnings-trade-analyzer
Source: https://github.com/MileniumTick/skills/tree/main/skills/earnings-trade-analyzer
Command: npx skills add https://github.com/MileniumTick/skills --skill earnings-trade-analyzer-mileniumtick

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

Post-earnings stock moves are noisy and hard to compare at scale; this tool provides a repeatable, quantitative framework to score and rank earnings-driven setups across many tickers.

Core Features & Use Cases

5-factor scoring: Gap size, pre-earnings trend, volume trend, MA200 position, and MA50 position with weights to compute a 0-100 composite.
Grade-based guidance: Outputs A-D grades with descriptions to prioritize actionable ideas.
Automated reporting: Generates JSON and Markdown reports with metadata, plus sector distribution and trend breakdowns.

Quick Start

Run the analyzer on your dataset to generate top-ranked earning trade candidates and reports in your output directory.

Frequently Asked Questions about earnings-trade-analyzer

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

FAQPage Schema

How do I screen post-earnings stock setups for momentum opportunities?▼

You screen post-earnings stock setups by calculating a 5-factor system that includes gap size, pre-earnings trend, volume trend, MA200 position, and MA50 position to aggregate a weighted 0-100 composite score.

What is the best way to rank post-earnings momentum candidates across US-listed equities?▼

Ranking post-earnings momentum candidates is best achieved by assigning A-D grades based on a 0-100 composite score, allowing you to prioritize actionable trade ideas across US-listed equities.

How does post-earnings scoring generate reports for stock analysis?▼

Post-earnings scoring generates automated JSON and Markdown reports containing metadata, sector distribution, trend breakdowns, and detailed component breakdowns referencing the scoring methodology.

Does the earnings momentum analyzer require specific dependencies to run?▼

The earnings momentum analyzer requires the requests dependency to function, utilizing it to process data and calculate the 5-factor weighted scores for US-listed equities.

Can I use this quantitative earnings analysis tool for large-scale ticker screening?▼

Yes, you can use this quantitative earnings analysis tool for large-scale ticker screening because it provides a repeatable framework to score and rank noisy earnings-driven setups across many tickers.