harmonic

Identify harmonic patterns and generate trading signals from financial time series data.

Updated May 25, 2026

Search Tags:#technical analysis #trading signals #trading automation #harmonic patterns #Fibonacci geometry

Ready to run

npx skills add https://github.com/NigarumOvum/AutoTrading --skill harmonic-nigarumovum

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: harmonic
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/harmonic
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill harmonic-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the identification of harmonic patterns in financial markets, enabling users to generate trading signals based on these patterns.

Core Features & Use Cases

Harmonic Pattern Identification: Automatically recognizes Gartley, Bat, Butterfly, and Crab patterns using Fibonacci geometry.
Trading Signals: Generates buy and sell signals based on the presence of harmonic patterns and their PRZ (Potential Reversal Zone).
Use Case: A trader can use this Skill to identify harmonic patterns in real-time and execute trades accordingly.

Quick Start

Use the harmonic skill to analyze the price history of BTC-USDT and identify any harmonic patterns.

Frequently Asked Questions about harmonic

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

FAQPage Schema

How do I identify harmonic patterns in financial time series data?▼

To identify harmonic patterns in financial time series data, you can use a Skill that automatically recognizes Gartley, Bat, Butterfly, and Crab patterns based on Fibonacci geometry. It analyzes price history to detect these formations and pinpoint the Potential Reversal Zone.

What are harmonic patterns in technical analysis?▼

Harmonic patterns in technical analysis are geometric price formations defined by Fibonacci retracement levels. They include structures like Gartley, Bat, Butterfly, and Crab, which help traders forecast potential price reversals within a specific Potential Reversal Zone.

Can I generate automated trading signals based on Fibonacci geometry?▼

Yes, you can generate automated trading signals based on Fibonacci geometry by detecting harmonic patterns in market data. The system identifies the Potential Reversal Zone within these patterns to produce actionable buy and sell signals for trading automation.

Do I need pandas and numpy to detect Gartley and Bat patterns?▼

Yes, you need pandas and numpy along with pyharmonics and requests to detect Gartley and Bat patterns. These libraries provide the underlying data manipulation and mathematical geometry required for accurate harmonic pattern recognition in financial datasets.

What is the best way to automate trading signals for harmonic patterns?▼

The best way to automate trading signals for harmonic patterns is by processing financial time series data through a Fibonacci geometry-based detection algorithm. This approach scans price history to identify structural patterns and automatically outputs buy or sell signals at the reversal zone.

Are there limitations to using harmonic patterns for real-time trading signals?▼

A limitation of using harmonic patterns for real-time trading signals is the strict dependency on accurate Fibonacci geometry calculations, requiring continuous price history feeds. Pattern recognition relies on historical data, meaning signals are probabilistic and may lag during sudden market volatility.