ohlcpattern
Unverified Other strategy on Indices by tempusoneps. BotFinder score 18 out of 100.
Stock Price(Candlestick, Chart) Pattern Modeling(Detection)
Source: github
BotFinder analysis pending.
ohlcpattern
📈 ohlcpattern ohlcpattern is a modern, high-performance Python library for detecting candlestick patterns in financial data. Built with pandas and designed for speed and ease of use, it helps traders and quantitative analysts model and identify over 40+ different market signals. --- ✨ Key Features - 🚀 Fast Pattern Detection: Optimized with pandas for handling large historical datasets. - 🧩 Comprehensive Coverage: Support for 40+ single, double, and triple candlestick patterns. - 🛠️ Modern Package Structure: Uses src layout and pyproject.toml for standard installation. - 🧪 Test-Driven Development: High reliability with pytest integration. - 🧹 Clean Code: Linted and formatted with ruff for maximum readability. --- 📦 Installation To install the library with pip: To install the library with uv: For development, install with optional dependencies using pip: Or use uv: --- 🚀 Quick Start Ensure your pandas DataFrame contains the standard Open, High, Low, and Close columns. --- 🖥️ CLI The package exposes a command-line interface named ohlcpattern. If you prefer running it through uv: The ext
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How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)