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candlestick

Score 15 candlestick patterns in pandas DataFrames into composite long/short signals.

30.4k|4.9k|Updated Apr 1, 2026
Search Tags:#pandas#technical-analysis#pattern-recognition#trading-signals#candlestick#okx#vectorized
One-click install
npx skills add https://github.com/HKUDS/Vibe-Trading --skill candlestick
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: candlestick
Source: https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/candlestick
Command: npx skills add https://github.com/HKUDS/Vibe-Trading --skill candlestick

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill removes the guesswork when trading by scoring 15 classic candlestick patterns and turning them into a single direction signal so you know when to go long, short, or stand aside.

Core Features & Use Cases

  • Pure pandas scoring: Vectorized detection of single, double, and triple candle patterns keeps the analysis fast on large OHLC datasets.
  • Composite signal logic: Bullish patterns add points, bearish ones subtract, and adjustable body_pct plus shadow_ratio thresholds let you tune sensitivity on any symbol.
  • Use Case: Run the engine on daily Bitcoin, Ethereum, or stock candles to generate a ready-to-trade indicator that summarizes 15 technical signals.

Quick Start

Analyze the latest OHLC candles to produce a composite long/short signal.

Frequently Asked Questions about candlestick

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

FAQPage Schema
How do I score candlestick patterns to generate trading signals from OHLC data?▼

This Skill scores 15 classic candlestick patterns by adding points for bullish signals and subtracting for bearish ones, producing a composite long/short trading signal directly from OHLC DataFrames.

How can I detect candlestick patterns in pandas DataFrames for crypto and equity markets?▼

You can detect candlestick patterns in pandas DataFrames using vectorized operations that identify single, double, and triple candle formations, keeping analysis fast on large OHLC datasets for crypto and equity markets.

Can I fetch OKX candles and use them for candlestick pattern recognition?▼

Yes, the engine can fetch OKX candles to apply candlestick pattern recognition and generate unified composite trading signals across crypto markets using configurable body_pct and shadow_ratio thresholds.

How do I configure body and shadow thresholds for technical analysis pattern recognition?▼

You configure technical analysis pattern recognition sensitivity by adjusting body_pct and shadow_ratio thresholds, which tunes how strictly the vectorized engine detects candlestick formations on any symbol.

What is the best way to resolve ambiguous trade directions when analyzing candlestick patterns?▼

The best way to resolve ambiguous trade directions is to aggregate 15 technical candlestick signals into a single composite score, clearly indicating whether to go long, short, or stand aside.

Does this candlestick scoring approach work for both crypto and equity OHLC bars?▼

Yes, the candlestick scoring approach works for both crypto and equity markets, applying vectorized detection to open/high/low/close bars to create composite trading signals across different asset classes.

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