chanlun

Detect Chanlun price patterns and generate buy/sell signals from OHLCV data.

6.1k|1.2k|Updated Jun 9, 2022
One-click install
npx skills add https://github.com/charliedream1/ai_quant_trade --skill chanlun-charliedream1
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: chanlun
Source: https://github.com/charliedream1/ai_quant_trade/tree/main/a_%E5%85%A8%E7%BD%91%E4%BC%98%E7%A7%80%E8%B5%84%E6%BA%90/10_%E5%A4%A7%E6%A8%A1%E5%9E%8B/07_skill%E5%8C%85/vibe_trading_skills/chanlun
Command: npx skills add https://github.com/charliedream1/ai_quant_trade --skill chanlun-charliedream1

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Chanlun-based pattern recognition engine translates price structure into actionable trading signals across multiple timeframes, enabling systematic decision-making for trend-following and reversal opportunities.

Core Features & Use Cases

  • Multi-frame Chanlun pattern detection (FX/BI/ZS) using czsc and czsc.signals
  • Generates buy/sell signals (一买/一卖, 三笔/五笔形态) across multiple timeframes
  • Works with any OHLCV data and supports automated backtesting and signal evaluation

Quick Start

Provide a dataset of OHLCV bars and run the SignalEngine to generate Chanlun buy/sell signals.

Frequently Asked Questions about chanlun

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

FAQPage Schema
How do I generate Chanlun buy/sell signals from OHLCV data?

Multi-timeframe Chanlun analysis detects price structures like FX/BI/ZS across multiple timeframes simultaneously, applying to any asset with OHLCV data to identify trend-following and reversal opportunities.

Do I need the czsc package to detect Chanlun patterns?

Yes, you need the czsc package and its czsc.signals submodules to assemble the trend-detection workflow, along with pandas and requests, to successfully detect Chanlun price patterns.

Can I use this for automated backtesting of trading signals?

Yes, the system supports automated backtesting and signal evaluation by generating buy/sell signals across multiple timeframes, allowing you to assess strategy performance on historical OHLCV data.

What is multi-timeframe Chanlun analysis for trading signals?

To generate Chanlun buy/sell signals, provide a dataset of OHLCV bars to the SignalEngine, which detects patterns like 一买/一卖 and 三笔/五笔形态, and outputs actionable trading signals.