parabolic-short-trade-planner

Screen US equities for parabolic exhaustion patterns and generate pre-market short plans.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, matplotlib, alpaca-api, fmpy, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the planning and monitoring of parabolic short trades, saving traders time and reducing manual errors.

Core Features & Use Cases

  • Parabolic Short Screening: Screen US equities for parabolic exhaustion patterns.
  • Pre-Market Plans: Generate conditional pre-market short plans.
  • Intraday Monitoring: Evaluate intraday trigger fires from live 5-min bars.
  • Use Case: Imagine you want to screen for parabolic exhaustion patterns in US equities and generate pre-market short plans. Use this Skill to automate the entire process, from screening to monitoring and trigger evaluation.

Quick Start

Use the parabolic-short-trade-planner skill to screen for parabolic exhaustion patterns in US equities and generate pre-market short plans for the S&P 500.

Frequently Asked Questions about parabolic-short-trade-planner

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

FAQPage Schema
How do I automate planning and monitoring for parabolic short trades?

You can automate parabolic short trades by screening US equities for exhaustion patterns to generate conditional pre-market plans. This evaluates intraday trigger fires from live 5-min bars, reducing manual monitoring errors.

What is a parabolic exhaustion pattern in short trading?

A parabolic exhaustion pattern in short trading indicates a steep, unsustainable price surge in US equities. Screening for these patterns helps generate conditional pre-market short plans to capitalize on potential intraday reversals.

Do I need Alpaca and FMP API access to screen equities for short trade planning?

Yes, Alpaca API and FMP API access are required for parabolic short trade planning. These dependencies provide the live market data and screening capabilities needed to evaluate intraday 5-min bar triggers for US equities.

How do I evaluate intraday trigger fires from live 5-min bars?

You evaluate intraday trigger fires from live 5-min bars by applying conditional pre-market short plans to live market data. This requires Python libraries like pandas and numpy for data processing alongside Alpaca API integration.

Can I use this parabolic trading approach for S&P 500 swing trading?

Yes, this parabolic trading approach applies to disciplined swing traders and dividend stock investors screening the S&P 500. It generates conditional pre-market short plans based on identified intraday exhaustion patterns.

What Python libraries are required for parabolic short trade screening?

Required Python libraries for parabolic short trade screening include pandas, numpy, matplotlib, alpaca-api, and fmpy. These dependencies handle data processing, visualization, and API integration for evaluating intraday 5-min bars.