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chanlun

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

Updated Apr 12, 2026
Search Tags:#technical-analysis#pattern-recognition#trading-signals#multitimeframe#chanlun#czsc
One-click install
npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill chanlun-daddyelonmusk69
Or copy as Structured Prompt for Agentβ–Ό
Please help me install this Agent Skill.
Skill: chanlun
Source: https://github.com/DaddyElonMusk69/motis-agent/tree/main/skills/finance/chanlun
Command: npx skills add https://github.com/DaddyElonMusk69/motis-agent --skill chanlun-daddyelonmusk69

SYSTEM DOCUMENTATION & REQUIREMENTS

πŸ’‘ This Skill includes references (resource) components.

What problem does it solve?

This skill provides automated recognition of Chanlun price patterns to identify actionable buy/sell points from OHLCV data, enabling systematic trading decisions.

Core Features & Use Cases

  • Pattern recognition across FX (top/bottom), BI, and ZS constructs.
  • Multi-timeframe capability with cross-scale pattern analysis and signal generation.
  • Examples: generate entry/exit signals for BTC-USD or any asset with OHLCV history.

Quick Start

Run the Chanlun signal engine on your OHLCV DataFrame to obtain 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 buy and sell signals from OHLCV market data?β–Ό

Yes, multi-timeframe analysis is supported by applying cross-scale pattern recognition to your OHLCV data. The engine evaluates multiple timeframes simultaneously to generate consolidated buy and sell signals across different market scales.

What is Chanlun pattern recognition and how does it work for trading?β–Ό

Yes, the pattern engine operates across any asset class with OHLCV history, including cryptocurrencies like BTC-USD. The signal generation logic is asset-agnostic and applies universally to any market data formatted as OHLCV.

Do I need specific dependencies or prior coding knowledge to use Chanlun signals?β–Ό

No external dependencies are required to run the Chanlun signal engine, but you need to supply an OHLCV DataFrame. An example engine is included to help integrate your data and obtain buy and sell signals quickly.

What are the limitations of using CZSC-based pattern recognition for trading signals?β–Ό

CZSC-based pattern recognition is limited to processing OHLCV data and cannot incorporate tick-level order book information. Signal accuracy depends entirely on the quality and completeness of the historical OHLCV data provided to the engine.

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