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candlestick

Identify 15 classic candlestick patterns in OHLCV data with pandas.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests.

What problem does it solve?

This skill automates the identification of classic technical analysis patterns in market data, removing the need for manual chart inspection and subjective interpretation.

Core Features & Use Cases

  • Pattern Recognition: Detects 15 classic candlestick patterns including single, double, and triple-candle formations.
  • Signal Generation: Aggregates bullish and bearish patterns into a unified long/short/neutral signal.
  • Use Case: Use this to scan historical price data for assets like BTC or ETH to identify potential trend reversals or confirmations based on established price action theory.

Quick Start

Use the candlestick skill to analyze the provided market data and generate trading signals for the specified asset list.

Frequently Asked Questions about candlestick

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

FAQPage Schema
How do I automate candlestick pattern recognition for historical OHLCV market data?▼

You can automate candlestick pattern recognition by processing OHLCV market data with a vectorized pandas implementation that identifies 15 classic formations and generates aggregated bullish or bearish trading signals without manual chart inspection.

What candlestick patterns can I detect using pandas for technical analysis?▼

Using pandas for technical analysis allows you to detect 15 classic candlestick patterns, encompassing single, double, and triple-candle formations to identify potential trend reversals or confirmations in historical price data.

Can I generate trading signals for crypto assets like BTC using Python?▼

Yes, you can generate trading signals for crypto assets like BTC using Python by computing pattern scores from OHLCV data, which aggregates bullish and bearish candlestick formations into a unified long, short, or neutral signal.

Does this vectorized pattern recognition engine require numpy and requests to process market data?▼

Yes, this vectorized pattern recognition engine requires pandas, numpy, and requests to process OHLCV market data and compute actionable pattern scores for quantitative financial analysis.

What's the best way to scan historical price data for candlestick patterns without subjective interpretation?▼

The best way to scan historical price data objectively is to use an automated vectorized pandas engine that identifies 15 classic candlestick patterns, removing the need for manual chart inspection and subjective interpretation.

Are there limitations to using vectorized pandas implementations for technical analysis on equity markets?▼

While applying vectorized pandas to technical analysis on equity markets processes 15 classic patterns efficiently, it is limited to historical OHLCV data scoring and requires separate execution frameworks for live automated strategy deployment.

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