fibonacci-harmonic-wave

Identify Fibonacci levels, harmonic patterns, and Elliott Wave targets from price data.

10|2|Updated Mar 8, 2026

Search Tags:#technical-analysis #pattern-detection #fibonacci #harmonic-patterns #elliott-wave #trading-engine

Ready to run

npx skills add https://github.com/mahmoud20138/Tradecraft --skill fibonacci-harmonic-wave

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: fibonacci-harmonic-wave
Source: https://github.com/mahmoud20138/Tradecraft/tree/main/plugins/tradecraft/skills/fibonacci-harmonic-wave
Command: npx skills add https://github.com/mahmoud20138/Tradecraft --skill fibonacci-harmonic-wave

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, scipy.

What problem does it solve?

Fibonacci retracement/extension levels, harmonic pattern detection, and Elliott Wave counting help traders identify high-probability entry zones and target prices across multiple timeframes.

Core Features & Use Cases

Fibonacci analysis: retracements, extensions, clusters, and time zones for price action.
Harmonic pattern engine: detects Gartley, Butterfly, Bat, Crab, Cypher, and Shark patterns with PRZ logic.
Elliott Wave guidance: wave counting and Fibonacci targets to anticipate next moves.
Confluence workflows: combine Fibonacci, harmonic, and Elliott Wave signals for high-probability setups.

Quick Start

Feed a price dataframe into the engine to identify Fibonacci levels, harmonic patterns, and Elliott Wave projections.

Frequently Asked Questions about fibonacci-harmonic-wave

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

FAQPage Schema

How do I detect harmonic patterns and Fibonacci retracement levels from price data?▼

To detect harmonic patterns and Fibonacci retracement levels, feed a price dataframe into the engine to compute Gartley, Bat, Crab patterns and retracement clusters for high-probability entry zones.

What is confluence scoring in technical analysis?▼

Confluence scoring combines Fibonacci retracement levels, harmonic pattern detection, and Elliott Wave counting to evaluate proactive trade setups and identify high-probability target prices across multiple timeframes.

Can I use pandas and numpy for Elliott Wave target projection?▼

Yes, Elliott Wave target projection uses pandas, numpy, and scipy engines to process multi-timeframe price series, calculate Fibonacci extensions, and anticipate the next market moves.

Does the harmonic pattern engine identify Gartley, Butterfly, and Shark patterns?▼

Yes, the harmonic pattern engine detects Gartley, Butterfly, Bat, Crab, Cypher, and Shark patterns using PRZ logic alongside Fibonacci time zones to validate structural price action setups.

What is the best way to combine Elliott Wave counting with Fibonacci clusters?▼

The best way to combine Elliott Wave counting with Fibonacci clusters is applying confluence workflows that merge wave projections and harmonic pattern signals to score high-probability trade setups.