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elliott-wave

Detect Elliott Wave impulse and corrective structures using Zigzag swing-point analysis.

Updated Jul 29, 2026
Search Tags:#pandas#technical analysis#trading#fibonacci#elliott wave#signal engine
One-click install
npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill elliott-wave-santoosaraujo
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: elliott-wave
Source: https://github.com/santoosaraujo/vibe-trading-claude/tree/main/.claude/skills/elliott-wave
Command: npx skills add https://github.com/santoosaraujo/vibe-trading-claude --skill elliott-wave-santoosaraujo

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This skill automates the complex and subjective process of identifying Elliott Wave structures in financial time-series data, removing human bias and manual calculation errors.

Core Features & Use Cases

  • Wave Structure Detection: Automatically identifies 5-wave impulse and 3-wave corrective patterns using Zigzag swing-point analysis.
  • Fibonacci Validation: Applies strict Fibonacci ratio checks to validate wave relationships, ensuring signals meet classic technical analysis criteria.
  • Use Case: Traders can use this to identify potential trend reversals or the completion of corrective pullbacks in volatile assets like BTC or ETH without manually counting waves.

Quick Start

Use the elliott-wave skill to analyze the current market data for BTC-USDT and generate potential buy or sell signals.

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 detection in pandas without external libraries?▼

You can automate Elliott Wave detection in pandas by using Zigzag swing-point analysis to identify 5-wave impulse and 3-wave corrective structures, implementing Fibonacci ratio validation without requiring external wave-specific libraries.

How do I validate Fibonacci ratios for wave structures in financial market data?▼

You validate Fibonacci ratios by applying strict Fibonacci ratio checks to wave relationships identified through Zigzag swing-point analysis, ensuring detected impulse and corrective signals meet classic technical analysis criteria.

Can I detect trend reversal signals for crypto assets using pandas and numpy?▼

Yes, you can detect trend reversal signals for volatile assets like BTC or ETH by analyzing financial time-series data with pandas and numpy to identify completed corrective pullbacks and impulse structures.

Does automated Elliott Wave analysis require specialized trading libraries?▼

No, automated Elliott Wave analysis satisfies requirements for a pure pandas-based implementation, using only pandas, numpy, and requests dependencies without needing any external wave-specific technical analysis libraries.

What are the limitations of using Zigzag swing-point analysis for Elliott Wave detection?▼

Zigzag swing-point analysis for Elliott Wave detection is limited to identifying 5-wave impulse and 3-wave corrective patterns, relying strictly on Fibonacci ratio validation which may miss complex or non-standard market structures.

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