candlestick-patterns
CommunityTurn candlestick charts into trade signals.
Finance & Accounting#pattern recognition#pandas#technical analysis#trading signals#candlestick#vectorized
Authorloanntc
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Candlestick pattern analysts waste time converting OHLC data into consistent bullish/bearish/neutral signals for trading decisions.
Core Features & Use Cases
- Recognizes 15 classic candlestick patterns grouped as single-, double-, and triple-candle formations.
- Computes a composite signal by scoring bullish patterns as +1 and bearish patterns as -1, then using the total score sign to output long/short/stand aside.
- Uses vectorized pandas logic suitable for batch evaluation across many symbols and time series.
Quick Start
Run the candlestick signal engine on your OHLCV DataFrame(s) (with open, high, low, close) to produce a per-bar signal series where 1 means long, -1 means short, and 0 means no trade.
Dependency Matrix
Required Modules
numpypandasrequests
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: candlestick-patterns Download link: https://github.com/loanntc/Paave/archive/main.zip#candlestick-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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