Xpersona
agentCLAWHUBUnverified

Chanlun Analysis Pro

基于缠中说禅理论，提供A股市场分型、笔、线段、中枢及背驰等全体系技术分析与买卖点量化判断。 Skill: Chanlun Analysis Pro Owner: gechengling Summary: 基于缠中说禅理论，提供A股市场分型、笔、线段、中枢及背驰等全体系技术分析与买卖点量化判断。 Tags: A-share:1.1.0, a-share:5.0.1, banking:5.0.0, bilingual:1.1.0, central-hub:1.1.0, chanlun:5.2.2, chanlun-analysis-pro:5.2.3, chanlun-strategy:1.0.0, china-stock:5.0.1, chinese-stock-market:1.1.0, dianjin:5.0.0, finance:5.2.2, insurance:5.0.0, latest:5.2.3, python:1.1.0, quant:1.0.0, quantitative:5.0.1, quantitat

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.9k

Updated

Oct 9, 2026

Version

5.2.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/9/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 9, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 9, 2026
Adoption signal
1.9K downloadsadoption · observed Oct 9, 2026
Latest release
5.2.3release · observed Sep 24, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:chanlun-analysis-pro
  1. Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chanlun-analysis-pro/snapshot"

Documentation

CLAWHUB

146,778 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: Chanlun Technical Analysis Expert
slug: chanlun-analysis-pro
description: AI-powered Chanlun (Zen Trading) technical analysis skill based on the complete "Teach You to Trade Stocks 108 Lessons" (缠中说禅108课) original theory. Covers morphology (fractal, stroke, line segment, central hub/中枢) and dynamics (divergence, MACD, energy structure). Updated 2026 with chan.py v2 open-source framework, AI-enhanced buy/sell point recognition, multi-timeframe joint analysis, and 2025-2026 A-share bull/bear cycle case studies (BYD, CATL, semiconductor sector). Keywords: Chanlun, technical analysis, A-share, chan.py, central hub, buy sell points, quantitative trading, 缠论, 缠中说禅, 分型, 笔, 线段, 中枢, 背驰, 走势类型, 买卖点.
version: "5.2.3"
---

# Chanlun Technical Analysis Expert (Zen Trading) / 缠论技术分析专家
> **⚠️ 使用前提与风险声明（2026-09-24 新增，请先阅读）**
> 1. 本技能提供的是**缠论技术分析的方法论与结构拆解模板**，**不构成任何投资建议、买卖指令或收益承诺**。
> 2. 文中出现的标的、价格、日期（含贵州茅台 / 宁德时代 / 比亚迪 / 北方华创案例）均为**教学示意**，
>    **并非真实成交记录，也不代表当前或未来的价格判断**；实盘前须用你自己授权行情源的数据重新分解。
> 3. 缠论的笔、线段、中枢划分存在**主观性与多解性**，不同软件/不同人可得出不同结构，需交叉验证。
> 4. 任何仓位与止损安排由使用者自行决定并自担风险；技术分析不能消除系统性风险与个股风险。

### 市场动态最新动态 [截至 2026-09-24]

| 动态类型 | 内容摘要 | 影响范围 | 缠论应对策略 | 适用级别 | 可信度标注 |
|---------|---------|---------|------------|
| 市场动态 | 2026年A股量化资金占比30%-40%，毫秒级交易主导涨跌节奏 | 缠论分析框架需整合量化冲击识别和风控模块 | 买卖点判定叠加成交量与盘口冲击滤波，降低假信号 | 30分钟及以下 | 以官方最新发布为准 |
| 市场动态 | 缠论视角：上证周线级别中枢震荡，2026年核心区间3200-4000点 | 缠论分析框架需整合量化冲击识别和风控模块 | 区间内高抛低吸，三类买卖点结合布林通道确认 | 周线/日线 | 以官方最新发布为准 |
| 市场动态 | 2026年3月23日量化踩踏案例（上证单日跌3.63%蒸发4.29万亿），需加强风控 | 缠论分析框架需整合量化冲击识别和风控模块 | 跌破中枢下沿严格止损，避免摊平 | 日线 | 以官方最新发布为准 |
| 市场动态 | 2026年8月：A股成交重回1.8万亿+，AI算力与半导体板块领涨，风格切换加快 | 缠论分析框架需适配板块轮动节奏 | 优先做强势板块内部中枢上移个股，弱化弱势板块信号 | 日线/30分钟 | 以官方最新发布为准 |
| 市场动态 | 2026年8月：监管优化中长期资金入市，险资权益配置比例上调，红利低波受捧 | 缠论分析框架需纳入资金面与政策面共振 | 红利板块以周线中枢下沿作为低吸参考 | 周线 | 以官方最新发布为准 |
| 市场动态 | 2026年8月：北向资金（陆股通）恢复净流入，外资风险偏好回升 | 缠论分析框架需关注外资重仓股背驰结构 | 对北向重仓龙头优先采用日线+30分钟联立确认 | 日线/30分钟 | 以官方最新发布为准 |
| 市场动态 | 2026年9月：量化交易监管与异常交易监控持续加强，高频策略合规要求提高 | 短周期信号的有效性受冲击，30分钟及以下假信号增多 | 小级别信号必须上移到大级别确认，禁止单用小级别开仓 | 30分钟及以下 | 以官方最新发布为准 |
| 市场动态 | 2026年9月：上市公司回购与增持、分红预案披露增多，资金面与基本面共振被更频繁交易 | 单纯技术结构容易被资金行为扰动 | 中枢突破须叠加成交量与公告事件双重确认 | 日线/周线 | 以官方最新发布为准 |

> **数据截止**: 2026-09-24 | 来源：交易所公开数据、行业研报；具体以官方最新发布为准
> **声明**: 以上动态供参考，具体以官方最新发布为准

> **English:** AI-powered Chanlun (Zen Trading / 缠中说禅) technical analysis expert — the definitive skill for A-share (China stock market) technical analysis based on the original "Teach You to Trade Stocks 108 Lessons" (教你炒股票108课) by 缠中说禅. Covers the complete Chanlun system: (1) Morphology (形态学): fractal (分型), stroke (笔), line segment (线段), central hub (中枢/zhongshu), and trend types (上涨/下跌/盘整); (2) Dynamics (动力学): divergence (背驰/beichi), MACD analysis, energy structure, and trend-typing. Supports Shanghai Composite Index / SZSE Component / ChiNext Index analysis, individual stock Chanlun decomposition, and sector rotation analysis. Built-in Python code (integrating czsc/chan.py open-source frameworks), Chanlun buy/sell point (买卖点) quantitative identification,

_meta.json

{
  "ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
  "slug": "chanlun-analysis-pro",
  "version": "5.2.3",
  "publishedAt": 1790227209072
}

skill-card.md

## Description:

Provides Chanlun-based technical analysis for A-share market structures, divergence, multi-timeframe confirmation, and educational buy/sell point assessment.

This skill is ready for commercial/non-commercial use.

## Publisher:

[gechengling](https://clawhub.ai/user/gechengling)

### License/Terms of Use:

MIT-0

## Use Case:

External users and developers use this skill to structure Chanlun technical-analysis prompts for A-share indices, individual stocks, and sectors. It supports morphology, divergence, multi-timeframe checks, and educational buy/sell point reasoning.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill can produce concrete trading entries, exits, stop-losses, or target prices that a user could mistake for personalized financial advice.

Mitigation: Treat outputs as non-personalized technical-analysis education and require separate user confirmation and appropriate financial controls before any trading action.

Risk: Market examples and price/date case studies may be stale or illustrative rather than verified current market data.

Mitigation: Independently verify all examples and signals with the user's authorized market data source before using them.

Risk: Chanlun structure identification can be subjective, with different segmentations producing different conclusions.

Mitigation: Document the segmentation assumptions, cross-check with higher timeframes, and prefer signals that remain consistent across levels.

## Reference(s):

- [ClawHub skill page](https://clawhub.ai/gechengling/skills/chanlun-analysis-pro)

## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Shell commands, Guidance]

**Output Format:** [Markdown analysis with tables and Python or shell snippets]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May include educational market examples, technical-analysis tables, and illustrative Python snippets; does not provide live market data or trade execution.]

## Skill Version(s):

5.2.3 (source: server release evidence and SKILL.md frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

Related agents

Same protocol, similar job.

Github ReposUpdated 11h agoRank 70

AionUi

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

MCPOPENCLAW
Github ReposUpdated 6mo agoRank 70

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

OPENCLAW
Github ReposUpdated 6mo agoRank 70

cherry-studio

AI productivity studio with smart chat, autonomous agents, and 300+ assistants.

MCPOPENCLAW
Github ReposUpdated 7mo agoRank 70

CopilotKit

The Frontend for Agents & Generative UI. React + Angular

OPENCLAW

Machine-readable data

The same record, as JSON, for agents and crawlers.

{
  "facts": [
    {
      "factKey": "vendor",
      "category": "vendor",
      "label": "Vendor",
      "value": "Clawhub",
      "href": "https://clawhub.ai/gechengling/skills/chanlun-analysis-pro",
      "sourceUrl": "https://clawhub.ai/gechengling/skills/chanlun-analysis-pro",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-09T22:47:58.472Z",
      "isPublic": true
    },
    {
      "factKey": "protocols",
      "category": "compatibility",
      "label": "Protocol compatibility",
      "value": "OpenClaw",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chanlun-analysis-pro/contract",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chanlun-analysis-pro/contract",
      "sourceType": "contract",
      "confidence": "medium",
      "observedAt": "2026-10-09T22:47:58.472Z",
      "isPublic": true
    },
    {
      "factKey": "traction",
      "category": "adoption",
      "label": "Adoption signal",
      "value": "1.9K downloads",
      "href": "https://clawhub.ai/gechengling/chanlun-analysis-pro",
      "sourceUrl": "https://clawhub.ai/gechengling/chanlun-analysis-pro",
      "sourceType": "profile",
      "confidence": "medium",
      "observedAt": "2026-10-09T22:47:58.472Z",
      "isPublic": true
    },
    {
      "factKey": "latest_release",
      "category": "release",
      "label": "Latest release",
      "value": "5.2.3",
      "href": "https://clawhub.ai/gechengling/chanlun-analysis-pro",
      "sourceUrl": "https://clawhub.ai/gechengling/chanlun-analysis-pro",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-09-24T05:20:09.072Z",
      "isPublic": true
    },
    {
      "factKey": "handshake_status",
      "category": "security",
      "label": "Handshake status",
      "value": "UNKNOWN",
      "href": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chanlun-analysis-pro/trust",
      "sourceUrl": "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-chanlun-analysis-pro/trust",
      "sourceType": "trust",
      "confidence": "medium",
      "observedAt": null,
      "isPublic": true
    }
  ],
  "events": [
    {
      "eventType": "release",
      "title": "Release 5.2.3",
      "description": "新增风险声明、形态学速查表、背驰量化表、多级别容错表、风险控制表；动态更新至2026-09-24；修复代码围栏",
      "href": "https://clawhub.ai/gechengling/chanlun-analysis-pro",
      "sourceUrl": "https://clawhub.ai/gechengling/chanlun-analysis-pro",
      "sourceType": "release",
      "confidence": "medium",
      "observedAt": "2026-09-24T05:20:09.072Z",
      "isPublic": true
    }
  ]
}

Record generated Oct 10, 2026.

Sponsored

Ads related to Chanlun Analysis Pro and adjacent AI workflows.