Chanlun

OrganizationPopular

HKUDS

chanlun

基于缠论（缠中说禅）的形态识别引擎，使用czsc库自动检测K线分型、笔、中枢，并生成一买/一卖/二买/二卖/三买/三卖等买卖点信号。支持多周期分析和形态分类（3/5/7/9/11笔形态）。

Overview

Publisher	HKUDS
Repository	`Vibe-Trading`
Skill name	`chanlun`
Stars	33.6K
Forks	5.5K
Bundled files	7
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
7 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by HKUDS on GitHub. Read the source before you install it.

Installation

Install the Chanlun AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git /tmp/Vibe-Trading
mkdir -p .claude/skills
cp -r /tmp/Vibe-Trading/agent/src/skills/chanlun .claude/skills/chanlun

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Chanlun in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Chanlun on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Chanlun is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

缠论形态识别

用途

基于缠中说禅理论的价格形态识别。缠论是一套完全基于价格结构的技术分析方法，核心链路：


原始K线 → 去包含处理 → 分型识别 → 笔检测 → 中枢构建 → 买卖点判定

适用于任何有 OHLCV 数据的市场（A股、加密货币、期货等）。

核心概念

概念	说明	详细文档
分型（FX）	顶分型：中间K线最高；底分型：中间K线最低	分型
笔（BI）	相邻顶底分型之间的一段走势，最小单元	笔
中枢（ZS）	至少3笔构成的价格重叠区域，趋势的核心	中枢

买卖点体系

买卖点	含义	详细文档
一买/一卖	趋势结束后的第一个反转信号（背驰点）	一买一卖
二买/二卖	一买/一卖后回调不破底/顶的确认信号	二买二卖
三买/三卖	中枢上移/下移后回调不进入前中枢的信号	三买三卖

依赖安装

bash
pip install czsc requests pandas

快速上手

python
from czsc import CZSC, RawBar, Freq
from datetime import datetime

# 准备 RawBar 列表（需按时间正序排列）
bars = [
    RawBar(symbol="BTC-USDT", id=0, dt=datetime(2026,1,1),
           freq=Freq.D, open=70000, close=71000,
           high=72000, low=69000, vol=1000, amount=71000000),
    # ... 更多K线
]

# 创建分析器，自动检测分型/笔/中枢
c = CZSC(bars)

# 访问结果
print(c.bi_list)    # 已完成的笔
print(c.bars_ubi)   # 未完成笔中的K线

可用信号函数（czsc.signals.cxt）

czsc 内置 43 个缠论信号函数，核心如下：

函数	说明	类型
`cxt_first_buy_V221126`	一买信号	买卖点
`cxt_first_sell_V221126`	一卖信号	买卖点
`cxt_second_bs_V230320`	均线辅助二买二卖	买卖点
`cxt_third_bs_V230318`	均线辅助三买三卖	买卖点
`cxt_third_buy_V230228`	笔三买辅助	买卖点
`cxt_double_zs_V230311`	两中枢组合判断BS1	中枢
`cxt_three_bi_V230618`	三笔形态分类	形态
`cxt_five_bi_V230619`	五笔形态分类	形态
`cxt_seven_bi_V230620`	七笔形态分类	形态
`cxt_nine_bi_V230621`	九笔形态分类	形态
`cxt_eleven_bi_V230622`	十一笔形态分类	形态
`cxt_bi_base_V230228`	BI基础信号（方向/转折）	基础
`cxt_bi_end_V230312`	MACD辅助笔结束	辅助
`cxt_range_oscillation_V230620`	区间震荡判断	辅助
`cxt_zhong_shu_gong_zhen_V221221`	大小级别中枢共振	中枢

信号约定

信号引擎输出：1=做多，-1=做空，0=观望
做多条件：一买信号或三笔向上盘背或五笔类一买
做空条件：一卖信号或三笔向下盘背或五笔类一卖
中枢辅助：价格在中枢下沿附近做多优势，上沿附近做空优势

数据格式

czsc 接受 List[RawBar]，每个 RawBar 包含：

字段	类型	说明
symbol	str	标的代码
id	int	序号（从0开始）
dt	datetime	时间
freq	Freq	频率：`Freq.F1/F5/F15/F30/F60/D/W/M`
open	float	开盘价
close	float	收盘价
high	float	最高价
low	float	最低价
vol	float	成交量
amount	float	成交额

实现方式

使用 czsc 库（v0.9.68+），基于纯 Python 实现（可选 Rust 加速后端）。支持增量更新，适合实时分析。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Chanlun AI skill do?

Why use Chanlun on TypingMind?

Because you install it once and use it with any model. Chanlun is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Chanlun in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/chanlun. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Chanlun?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Chanlun?

As many as you like. As long as a model supports skills, you can use Chanlun with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Chanlun AI skill free?

Yes. It is published on GitHub by HKUDS under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Finishing A Development Branch

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Use when implementation is complete, all tests pass, and you need to decide how to integrate the work

Receiving Code Review

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Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative…

Requesting Code Review

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Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Systematic Debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

缠论形态识别

用途

核心概念

买卖点体系

依赖安装

快速上手

可用信号函数（czsc.signals.cxt）

信号约定

数据格式

实现方式

Bundled files

Frequently asked questions

Related AI Skills

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