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harmonic

Identify XABCD harmonic patterns in financial time-series data using Fibonacci geometry and PRZ analysis.

Updated Jun 30, 2026
Search Tags:#analysis#patterns#signals#trading#fibonacci#harmonic
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill harmonic-20yn04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: harmonic
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/harmonic
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill harmonic-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires numpy, pandas, requests, pyharmonics, and includes references (resource) components.

What problem does it solve?

This skill automates the complex task of identifying XABCD harmonic patterns, which are notoriously difficult to spot manually due to the requirement for precise Fibonacci ratio calculations.

Core Features & Use Cases

  • Pattern Recognition: Automatically detects Gartley, Bat, Butterfly, and Crab structures in market data.
  • Signal Generation: Identifies Potential Reversal Zones (PRZ) to provide actionable buy or sell signals.
  • Use Case: A trader can use this to scan multiple crypto or stock assets for high-probability reversal points based on geometric price relationships.

Quick Start

Use the harmonic skill to analyze the provided market data and generate trading signals for the specified symbols.

Frequently Asked Questions about harmonic

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

FAQPage Schema
How do I identify XABCD harmonic patterns in financial time-series data?▼

This skill automates harmonic pattern detection by scanning time-series data for XABCD structures like Gartley, Bat, Butterfly, and Crab. It calculates Fibonacci ratios automatically to pinpoint Potential Reversal Zones (PRZ) for actionable buy or sell signals.

Can I automatically generate trading signals for Fibonacci reversal zones?▼

Yes, you can generate automated trading signals for Fibonacci reversal zones. The skill analyzes time-series data to identify Potential Reversal Zones (PRZ) based on geometric price relationships, providing actionable buy or sell signals for trading strategies across various asset classes.

What market data do I need to scan for Gartley and Bat harmonic patterns?▼

You need financial time-series market data structured as a pandas DataFrame to scan for Gartley and Bat harmonic patterns. The skill uses numpy and pandas to process price data and identify these XABCD structures automatically.

Does this harmonic pattern detection work with pandas and numpy?▼

Yes, harmonic pattern detection works with pandas and numpy, which are required for data processing. It also offers optional support for the pyharmonics library to enhance the automated detection of XABCD structures in financial time-series data.

What are the limitations of using Fibonacci geometry for harmonic pattern detection?▼

A limitation of using Fibonacci geometry for harmonic pattern detection is the strict requirement for precise ratio calculations, making structures notoriously difficult to spot manually. While automated scanning helps, accurate identification still depends entirely on high-quality time-series market data.

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