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chanlun

Generate trading signals from stock market data using Chan-Lun theory.

1|Updated Jun 23, 2026
Search Tags:#technical analysis#stock market#trading strategies#trading signals#Chan-Lun theory
One-click install
npx skills add https://github.com/644408071-design/Kokpop --skill chanlun-644408071-design
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: chanlun
Source: https://github.com/644408071-design/Kokpop/tree/main/agent/src/skills/chanlun
Command: npx skills add https://github.com/644408071-design/Kokpop --skill chanlun-644408071-design

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill automates the generation of trading signals using the Chan-Lun theory, a form of technical analysis, and saves time by eliminating manual analysis.

Core Features & Use Cases

  • Form Recognition: Automatically identifies patterns and formations using the Chan-Lun theory.
  • Buy/Sell Points: Generates buy and sell signals based on pattern recognition.
  • Multi-Timeframe Analysis: Supports analysis on multiple timeframes.
  • Use Case: For a trader looking to analyze the stock market, this Skill can automatically detect patterns and generate trading signals based on the Chan-Lun theory.

Quick Start

Run the 'chanlun' skill to analyze the latest market data and generate trading signals.

Frequently Asked Questions about chanlun

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

FAQPage Schema
How do I automate Chan-Lun theory trading signal generation for stock markets?▼

To automate Chan-Lun theory trading signal generation, you run this Skill on stock market data to automatically identify structural patterns and output buy or sell points, eliminating manual technical analysis.

What is Chan-Lun theory technical analysis and how does it detect buy sell points?▼

Chan-Lun theory technical analysis detects buy sell points by automatically recognizing geometric patterns and market formations across multiple timeframes, translating structural market changes into actionable trading signals.

Do I need Python pandas and czsc libraries to run multi-timeframe technical analysis?▼

Yes, you need Python pandas and czsc libraries installed in your environment to execute multi-timeframe technical analysis, process market data requests, and generate the required Chan-Lun trading signals.

Can I use Chan-Lun theory for multi-timeframe trading strategies?▼

Yes, you can apply Chan-Lun theory for multi-timeframe trading strategies because this Skill supports multi-timeframe analysis, automatically aligning structural patterns across different chart intervals to generate synchronized trading signals.

What are the limitations of automated Chan-Lun pattern recognition?▼

Limitations of automated Chan-Lun pattern recognition include dependency on Python libraries like czsc and pandas, and strict reliance on accurate market data requests to avoid generating flawed technical analysis signals.

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