stockbee-episodic-pivot-analyzer

Identify Day 1 Episodic Pivot candidates using catalyst quality and price/volume confirmation.

2|Updated Jun 14, 2026
One-click install
npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill stockbee-episodic-pivot-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stockbee-episodic-pivot-analyzer
Source: https://github.com/IhsanDanish25/claude-trading-skills/tree/main/external-skills/claude-trading-skills/skills/stockbee-episodic-pivot-analyzer
Command: npx skills add https://github.com/IhsanDanish25/claude-trading-skills --skill stockbee-episodic-pivot-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, datetime, re, json, os, sys, math, dataclasses, json, os, requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill identifies Day 1 Episodic Pivot candidates based on catalyst quality and price/volume confirmation, helping traders make informed decisions.

Core Features & Use Cases

  • Catalyst Quality Analysis: Scores candidates based on the quality of the catalyst event.
  • Price/Volume Confirmation: Evaluates price/volume patterns for confirmation.
  • Use Case: Traders can use this Skill to identify strong Day 1 Episodic Pivot candidates, such as those following earnings reports or major news events.

Quick Start

Run the analyze_ep.py script with the provided catalyst and price data.

Frequently Asked Questions about stockbee-episodic-pivot-analyzer

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

FAQPage Schema
How do I analyze Day 1 episodic pivot stock candidates with catalyst quality and price/volume confirmation?

Yes, episodic pivot analysis covers major contracts and product launches as catalyst events alongside earnings, guidance, M&A, and FDA actions. The tool scores these catalyst events to identify strong Day 1 pivot candidates for trading decisions.

Do I need an FMP API key for price/volume analysis of episodic pivot candidates?

To perform episodic pivot analysis, you need Python installed and optionally an FMP API key for OHLCV data enrichment. The script processes catalyst and price data to score candidates based on catalyst quality and price/volume confirmation patterns.

What is the best way to score short-squeeze catalysts for episodic pivot trading?

Episodic pivot analysis differs from traditional stock screening by focusing specifically on Day 1 catalyst events and their price/volume confirmation. Rather than broad fundamental screening, it scores the quality of specific catalysts like earnings, M&A, or analyst actions to identify trading candidates.

Can I use episodic pivot analysis for theme and story events in trading?

Episodic pivot analysis may be limited if you lack sufficient catalyst event data or OHLCV price/volume information for confirmation. Without an FMP API key, you need to manually provide accurate price and volume data for the script to properly identify Day 1 pivot candidates.