harmonic

Identify Fibonacci-based harmonic patterns and generate buy and sell signals.

2|Updated May 13, 2026
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill harmonic-thanhtai040805
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: harmonic
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/harmonic
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill harmonic-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

The harmonic Skill identifies Fibonacci-based harmonic patterns and generates trading signals, helping traders identify potential reversal zones and inform their trading decisions.

Core Features & Use Cases

  • Harmonic Pattern Detection: Identifies XABCD five-point harmonic patterns such as Gartley, Bat, Butterfly, and Crab.
  • Trading Signals: Generates buy and sell signals based on the position of point D in the PRZ (Potential Reversal Zone).
  • Use Case: Utilize the harmonic Skill to analyze market trends and generate signals for potential trade entry points.

Quick Start

Use the harmonic skill to identify harmonic patterns in the BTC-USDT market and generate trading signals.

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 for trading signals?

Harmonic pattern detection works by analyzing market data to locate XABCD five-point formations like Gartley, Bat, Butterfly, and Crab. It applies predetermined Fibonacci ratios to calculate pattern parameters and pinpoint the Potential Reversal Zone for trading signals.

Can I generate buy and sell signals from Fibonacci ratios in crypto markets?

Yes, you can generate buy and sell signals from Fibonacci ratios in crypto markets. The skill processes market data, such as BTC-USDT pairs, using pandas and numpy to calculate Fibonacci ratios and detect harmonic patterns for potential trade entry points.

Do I need pyharmonics to detect Gartley and Bat patterns?

Yes, you need the pyharmonics library to detect Gartley and Bat patterns. The skill depends on pyharmonics, pandas, numpy, and requests to fetch market data and calculate harmonic pattern parameters.

What is the best way to find Potential Reversal Zones using Fibonacci ratios?

The best way to find Potential Reversal Zones using Fibonacci ratios is by scanning market data for XABCD harmonic patterns. This skill calculates predetermined Fibonacci ratios to locate point D, generating trading signals for potential market reversals.

Are there limitations to using harmonic patterns for market analysis?

Limitations of using harmonic patterns for market analysis include the requirement for specific Python libraries like pyharmonics and numpy. Additionally, patterns identify potential reversal zones based on historical Fibonacci ratios, which do not guarantee future market movements.