chanlun

Detect Chanlun FX, BI, and ZS patterns from OHLCV data using czsc.

Updated May 15, 2026

Search Tags:#pattern-recognition #financial-analysis #trading-signals #multitimeframe #chanlun #czsc

Ready to run

npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill chanlun-philipcoller-777

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: chanlun
Source: https://github.com/philipcoller-777/Vibe-Trading-TV2/tree/main/agent/src/skills/chanlun
Command: npx skills add https://github.com/philipcoller-777/Vibe-Trading-TV2 --skill chanlun-philipcoller-777

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

基于缠论的形态识别引擎，使用 czsc 库自动检测分型、笔、中枢，并生成买卖点信号，支持多周期分析和形态分类（3/5/7/9/11笔形态）。

Core Features & Use Cases

自动识别分型/笔/中枢并输出买卖点信号，覆盖多周期。
支持多市场应用（股票、期货、加密货币）并可读取 OHLCV 数据。
提供集成示例和信号引擎实现，便于二次开发与自定义。

Quick Start

准备包含 OHLCV 的数据并运行 SignalEngine 生成买卖信号。

Frequently Asked Questions about chanlun

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

FAQPage Schema

How do I identify Chanlun price patterns and generate trading signals?▼

To identify Chanlun price patterns and generate trading signals, you process OHLCV data through a pattern recognition engine that detects FX, BI, and ZS formations across multiple timeframes to output deterministic buy and sell decisions.

What are Chanlun multi-timeframe analysis signals and how do they work?▼

Chanlun multi-timeframe analysis signals are generated by recognizing structural formations like fractals, strokes, and pivot zones across different time periods, classifying 3, 5, 7, 9, and 11-stroke patterns to produce actionable buy or sell decisions.

Can I use Chanlun pattern recognition for stocks, futures, and cryptocurrency?▼

Yes, Chanlun pattern recognition supports multi-market applications including stocks, futures, and cryptocurrency, requiring OHLCV input data to automatically detect formations and output corresponding trading signals across these markets.

How to generate deterministic buy/sell decisions using czsc and OHLCV data?▼

To generate deterministic buy/sell decisions using czsc, prepare your OHLCV data and run the signal engine, which will automatically detect fractals, strokes, and pivot zones to output actionable trading signals for your analysis.

Do I need the czsc library to detect fractals, strokes, and pivot zones?▼

Yes, you need the czsc library to detect fractals, strokes, and pivot zones, as it serves as the underlying engine for automatically identifying these Chanlun-based price patterns and generating the corresponding trading signals.

What are the limitations of automated Chanlun multi-timeframe signal generation?▼

Automated Chanlun multi-timeframe signal generation is limited by its dependency on accurate OHLCV input data and the czsc library, meaning signal accuracy relies entirely on the quality of the historical price data provided.