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Auto Pattern Recognition

Detect over 30 financial chart patterns across multiple timeframes.

5|1|Updated Feb 9, 2026
Search Tags:#ai#pattern recognition#trading#chart analysis#financial markets#candlestick patterns#harmonic patterns
One-click install
npx skills add https://github.com/kayzaa/k.i.t.-bot --skill auto-pattern-recognition
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Auto Pattern Recognition
Source: https://github.com/kayzaa/k.i.t.-bot/tree/main/src/skills/auto-pattern-recognition
Command: npx skills add https://github.com/kayzaa/k.i.t.-bot --skill auto-pattern-recognition

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill automates the complex and time-consuming process of identifying technical chart patterns in financial markets, which are crucial for making informed trading decisions.

Core Features & Use Cases

  • Detects 30+ Patterns: Covers classic, harmonic, and candlestick patterns across multiple timeframes.
  • AI Confirmation: Uses a neural network to validate the quality and reliability of detected patterns.
  • Real-time Scanning & Alerts: Continuously scans markets and notifies users instantly when patterns complete.
  • Use Case: A trader can use this Skill to automatically scan for Bullish Gartley patterns on the 4-hour BTCUSDT chart, receive an alert when a potential pattern is forming, and get AI-validated confidence scores before making a trade.

Quick Start

Scan for bullish reversal patterns on BTCUSDT across 1h and 4h timeframes with a minimum quality of 75%.

Frequently Asked Questions about Auto Pattern Recognition

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

FAQPage Schema
How do I automate chart pattern detection for financial markets?▼

AI validates detected chart patterns by using a neural network to assess their quality and reliability. This mechanism confirms the formation of technical patterns like harmonic or candlestick setups and assigns confidence scores to help evaluate the strength of potential trading signals.

Can I scan for specific bullish harmonic patterns on cryptocurrency charts?▼

Yes, this approach detects over 30 classic, harmonic, and candlestick patterns in real-time across multiple timeframes. It distinguishes itself from standard technical analysis by applying AI-powered neural network validation to assign confidence scores for pattern quality and reliability.

Do I need to connect a market data feed to use automated candlestick pattern recognition?▼

You should filter automated chart pattern results by setting a minimum quality threshold, such as 75%. This ensures you only receive alerts and AI-validated confidence scores for technical formations that meet your specific reliability criteria before making trading decisions.

When should I not rely solely on AI-validated chart patterns for trading?▼

You should not rely solely on AI-validated chart patterns when market data feeds are delayed or when analyzing illiquid assets. While the neural network provides confidence scores, pattern recognition algorithms work best with accurate real-time data across standard timeframes.

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