elliott-wave

Name: elliott-wave
Availability: InStock
Author: daddyelonmusk69

Automates Elliott wave impulse and corrective detection in financial price series using pandas and numpy.

Updated Apr 12, 2026

Search Tags:#trading signals #elliott wave #fibonacci ratios #zigzag detection #impulse waves #corrective patterns #swing points

Ready to run

npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill elliott-wave-daddyelonmusk69

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: elliott-wave
Source: https://github.com/DaddyElonMusk69/motis-agent/tree/main/skills/finance/elliott-wave
Command: npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill elliott-wave-daddyelonmusk69

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill tackles the subjectivity and time-intensive nature of manual Elliott Wave analysis in trading, providing automated, rule-based detection to identify potential trend reversals and corrections reliably.

Core Features & Use Cases

Swing Point Detection: Uses Zigzag algorithm to identify key highs and lows in price data.
Pattern Validation: Matches 5-wave impulse and 3-wave ABC corrective structures with Elliott's iron rules and Fibonacci ratios.
Signal Generation: Outputs buy/sell signals for completed patterns, such as trend tops or correction ends.
Use Case: For a cryptocurrency trader analyzing BTC-USDT daily charts, apply this Skill to scan historical data and receive alerts for potential entry points after an ABC pullback.

Quick Start

Use the elliott-wave skill to generate trading signals from the attached BTC-USDT daily OHLCV data.

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 for trading signals?▼

You automate Elliott Wave detection by applying a zigzag algorithm to financial price series to identify swing points, validate impulse and corrective patterns against Fibonacci ratios, and output buy or sell signals.

Can I use pandas and numpy to identify Elliott Wave impulse patterns in cryptocurrency data?▼

Yes, you can use pandas and numpy to process cryptocurrency OHLCV data, applying zigzag detection and Fibonacci ratio checks to validate 5-wave impulse structures and generate trading signals.

What is the best way to validate ABC corrective patterns in stock price series?▼

The best way to validate ABC corrective patterns is to match 3-wave structures against Elliott's iron rules and Fibonacci ratios using automated detection on historical price series data.

Does automated Elliott Wave analysis work with BTC-USDT daily charts?▼

Yes, automated Elliott Wave analysis works with BTC-USDT daily charts by scanning historical OHLCV data to identify swing points and alert you to potential entry points after an ABC pullback.

How do swing point detection algorithms find trend reversals in financial price data?▼

Swing point detection algorithms find trend reversals by applying a zigzag method to identify key highs and lows, validating wave structures, and generating signals when corrections end or trend tops form.

What are the limitations of automated Elliott Wave pattern validation?▼

Automated Elliott Wave pattern validation relies strictly on rule-based detection of historical price series, meaning its accuracy depends on the quality of input data and the clarity of zigzag swing points.