chanlun

Analyze stock market data using the缠论 method with czsc.

2|Updated May 13, 2026
One-click install
npx skills add https://github.com/thanhtai040805/AI_Invest --skill chanlun-thanhtai040805
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chanlun
Source: https://github.com/thanhtai040805/AI_Invest/tree/main/ai-engine/app/domain/services/quant/skills_data/chanlun
Command: npx skills add https://github.com/thanhtai040805/AI_Invest --skill chanlun-thanhtai040805

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 analysis of stock market data using the缠论 method, saving time and effort in identifying patterns and generating trading signals.

Core Features & Use Cases

  • Pattern Recognition: Automatically detect patterns such as K-line formations, pens, and中枢 using the czsc library.
  • Multi-timeframe Analysis: Support analysis across multiple timeframes (3/5/7/9/11 pen formations).
  • Trading Signals: Generate buy/sell signals based on the identified patterns.
  • Use Case: For traders and investors looking to incorporate缠论 into their trading strategy, this Skill can help automate the analysis process and provide timely signals.

Quick Start

Analyze the stock market data for the symbol 'BTC-USDT' using the chanlun skill.

Frequently Asked Questions about chanlun

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

FAQPage Schema
How do I automate stock market analysis with缠论?

You can automate stock market analysis with缠论 by detecting K-line formations, pens, and中枢 patterns. The skill uses the czsc library to process market data and generate trading signals without manual charting.

How does multi-timeframe analysis work for缠论 trading signals?

Multi-timeframe analysis for缠论 trading signals evaluates 3, 5, 7, 9, and 11 pen formations. It identifies overlapping patterns and generates buy or sell signals based on detected structures.

Do I need the czsc library to detect缠论 patterns?

Yes, detecting缠论 patterns requires the czsc library, requests, and pandas. These dependencies handle data fetching, manipulation, and core pattern recognition for K-line and pen formations.

What is the best way to generate buy and sell signals using缠论?

The best way to generate buy and sell signals using缠论 is applying automated pattern recognition to K-line data. The skill identifies pens and中枢 across multiple timeframes to output trading signals.

Can I use缠论 pattern recognition for cryptocurrency symbols like BTC-USDT?

You can use缠论 pattern recognition for cryptocurrency symbols like BTC-USDT. The analysis fetches symbol data and applies multi-timeframe logic to detect patterns and generate trading signals.