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elliott-wave

Detect market swing points and generate Elliott Wave trend-top signals.

2|Updated May 13, 2026
Search Tags:#market analysis#technical analysis#trading signals#elliott wave#fractal analysis
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill elliott-wave-thanhtai040805
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: elliott-wave
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/elliott-wave
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill elliott-wave-thanhtai040805

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a signal engine for the Elliott Wave Theory, automating the detection of market swing points and generating trend-top or correction-complete signals.

Core Features & Use Cases

  • Swing Point Detection: Identifies swing points through Zigzag patterns.
  • Structure Matching: Matches 5-wave impulse and 3-wave corrective structures.
  • Fibonacci Validation: Validates structures with Fibonacci wave relationships.
  • Signal Generation: Generates trend-top and correction-complete signals.
  • Use Case: Use this Skill to automate the identification of potential market reversal points based on the Elliott Wave Theory.

Quick Start

Run the skill with the required parameters: python example_signal_engine.py data_map.json.

Frequently Asked Questions about elliott-wave

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

FAQPage Schema
How do I automate Elliott Wave Theory signal generation for market analysis?▼

You can automate Elliott Wave Theory signal generation by running a Python script that processes market data with pandas and numpy to detect zigzag swing points and output trend-top or correction-complete signals.

How does Fibonacci validation work when detecting 5-wave impulse structures?▼

Fibonacci validation checks detected 5-wave impulse and 3-wave corrective structures against Fibonacci wave relationships to confirm whether the fractal market pattern is structurally valid before generating a signal.

Can I use pandas and numpy to detect market swing points from raw price data?▼

Yes, this Skill uses pandas and numpy to process raw market data requests and identify swing points through Zigzag patterns, matching them into Elliott Wave structures for technical analysis.

What's the best way to identify potential market reversal points using fractal wave structures?▼

The best way to identify market reversal points is to apply an automated signal engine that matches fractal wave structures and validates them with Fibonacci relationships to detect trend-top or correction-complete patterns.

How do I run the Elliott Wave signal engine script with my market data?▼

You run the signal engine by executing `python example_signal_engine.py data_map.json` in your terminal, passing your structured market data map to process Elliott Wave detection.

Does this approach require manual charting to find correction-complete signals?▼

No, this approach eliminates manual charting by automating swing point detection through Zigzag patterns and directly outputting correction-complete signals based on validated Elliott Wave structures.

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