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thanhtai040805
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candlestick

Detect 15 candlestick patterns in stock price data and generate trading signals.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides an engine to identify 15 classic candlestick patterns, enabling users to generate trading signals based on these patterns.

Core Features & Use Cases

  • Candlestick Pattern Recognition: Detects 15 different candlestick patterns including hammer, inverted hammer, shooting star, and more.
  • Signal Generation: Generates bullish and bearish signals based on the pattern recognition engine.
  • Use Case: A trader can use this Skill to identify potential trading opportunities based on candlestick patterns. For example, it can generate a long signal when the "morning star" pattern is detected following a downtrend.

Quick Start

Run the 'generate_signals' script in the 'scripts/' directory to process historical price data and identify candlestick patterns.

Frequently Asked Questions about candlestick

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

FAQPage Schema
How do I identify candlestick patterns in stock price data for trading signals?▼

To identify candlestick patterns in stock price data, run the generate_signals script to process historical OHLC data and output bullish or bearish trading signals. The engine detects 15 classic patterns using pandas and numpy.

What candlestick patterns can I detect for technical analysis?▼

Candlestick pattern recognition covers 15 classic formations including the hammer, inverted hammer, shooting star, and morning star. These patterns generate bullish or bearish signals to inform stock trading decisions based on trend identification.

Do I need pandas and numpy to generate trading signals from candlestick patterns?▼

Yes, you need pandas, numpy, and requests libraries installed. Pandas and numpy manipulate the historical price data arrays for pattern recognition, while requests retrieves stock price data for technical analysis.

Can I use candlestick pattern recognition to find stock trading opportunities after a downtrend?▼

Yes, candlestick pattern recognition identifies trading opportunities after downtrends by generating long signals when patterns like the morning star appear. The signal generation engine maps 15 recognized patterns to actionable bullish and bearish outputs.

What's the best way to automate technical analysis with candlestick pattern detection?▼

Automate technical analysis by running the generate_signals script in the scripts directory to process retrieved stock price data. This yields automated bullish and bearish signals derived from 15 detected candlestick patterns without manual chart reading.

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