chanlun

Identify Chanlun fractals, segments, and centers to generate trading signals from OHLCV data.

Updated Jul 8, 2026
One-click install
npx skills add https://github.com/hxhyyy/Vibe-Trading --skill chanlun-hxhyyy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chanlun
Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/chanlun
Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill chanlun-hxhyyy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires czsc, requests, pandas, and includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of manual technical analysis by automating the identification of Chanlun (Chan-Zhong-Shuo-Chan) patterns, including fractals, segments, and centers, to provide objective trading signals.

Core Features & Use Cases

  • Automated Pattern Recognition: Detects K-line fractals, segments (BI), and centers (ZS) automatically using the czsc library.
  • Signal Generation: Identifies first, second, and third buy/sell points based on rigorous price structure rules.
  • Use Case: A trader can use this to scan historical market data for BTC-USDT to identify potential reversal points or trend continuations without manual chart marking.

Quick Start

Use the chanlun skill to analyze the provided OHLCV data and generate buy or sell signals for the specified market symbol.

Frequently Asked Questions about chanlun

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

FAQPage Schema
How do I automate Chanlun technical analysis for trading signals?

You can automate Chanlun technical analysis by processing OHLCV market data to detect fractals, segments, and centers, which generates objective buy and sell signals without manual chart marking.

What are Chanlun buy and sell points and how are they identified?

Chanlun buy and sell points are trading signals based on price structure rules. They are identified by automatically detecting K-line fractals, segments (BI), and centers (ZS) to locate trend continuations or reversals.

Can I use the czsc library for quantitative analysis of crypto and futures markets?

Yes, you can use the czsc library to perform quantitative analysis on crypto, stocks, and futures markets by feeding OHLCV data to identify multi-period trading signals.

How do I scan historical OHLCV data for Chanlun price structures?

You scan historical OHLCV data by applying the czsc library to automatically recognize Chanlun price structures like fractals and centers, outputting classified trading signals for your specified market symbol.

Does automated Chanlun pattern recognition require manual fractal or segment marking?

No, automated Chanlun pattern recognition eliminates manual chart marking by using the czsc library to automatically identify fractals, segments, and centers from raw OHLCV data.

What is the best way to generate technical trading signals from Chanlun patterns?

The best way to generate technical trading signals from Chanlun patterns is to automate the identification of price structures like fractals and centers, applying predefined market logic to output objective buy and sell points.