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缠论技术分析
by
sanduan003
· GitHub ↗
· v1.1.0
607
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Install in OpenClaw
/install chan-theory-analysis
Description
缠论技术分析工具。基于缠中说禅理论，提供走势中枢分析、笔分段、背驰判断、买卖点识别。支持A股、港股、美股、加密货币。
README (SKILL.md)
缠论技术分析
基于缠中说禅理论的走势分析工具。
快速开始
pip3 install yfinance numpy --break-system-packages
python3 scripts/analyze.py BTC-USD
python3 scripts/analyze.py 0700.HK
python3 scripts/analyze.py AAPL
缠论核心
走势类型
| 类型 | 定义 |
|---|---|
| 盘整 | 只包含一个走势中枢 |
| 趋势 | 包含两个以上同级别走势中枢 |
三类买卖点
| 买卖点 | 说明 |
|---|---|
| 第1类 | 趋势背驰点（高风险） |
| 第2类 | 第1类后次级别回抽（中等） |
| 第3类 | 次级别离开后不回抽（低风险） |
井论（解决非标准趋势）
- 大井: 5高于3和1 → 第一类买卖点
- 小井: 5高于1或3之一 → 第二类买卖点
分析功能
- 🔍 分型识别（顶分型/底分型）
- 📈 笔分段
- 🏛️ 中枢检测
- 📊 MACD背驰判断
- 🎯 关键位置分析
支持市场
- 港股: 0700.HK, 9988.HK
- 美股: AAPL, TSLA, NVDA
- 加密货币: BTC-USD, ETH-USD
输出示例
📈 笔分析:
有效笔: 4笔
当前笔: 下跌笔
幅度: -33.58%
⚠️ 背驰迹象: 力度减弱
🎯 关键位置:
最高: 74051
最低: 60074
当前位置: 57% (中性区间)
风险提示
⚠️ 缠论学习曲线较陡，仅供分析参考。
Usage Guidance
This skill appears coherent with its stated purpose, but consider the following before installing:
- Run the code in a virtual environment (venv/conda) rather than using '--break-system-packages' to avoid altering system Python packages.
- Installing yfinance and numpy pulls packages from PyPI; if you need higher assurance, review the specific package versions or install from a pinned requirements file.
- The script fetches market data from Yahoo Finance (network access). If you need offline or private-data assurance, avoid running it with sensitive network environments.
- The tool prints analysis and is not a substitute for professional trading advice; verify outputs and test with known symbols.
- If you want extra safety, review scripts/analyze.py yourself (it's included) to confirm no unwanted behavior, or run it in an isolated sandbox before use.
Capability Analysis
Type: OpenClaw Skill
Name: chan-theory-analysis
Version: 1.1.0
The skill bundle provides a legitimate technical analysis tool based on Chan Theory for financial markets. The Python script (scripts/analyze.py) uses standard libraries like yfinance and numpy to fetch and process market data without any signs of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description describe Chan-theory analysis for A-share/HK/US/crypto. The code and SKILL.md use yfinance and numpy to fetch historical price data and compute indicators—these dependencies are coherent and expected for the stated functionality.
Instruction Scope
SKILL.md instructs installing yfinance and numpy and running scripts/analyze.py. The script only fetches historical data via yfinance and performs local computations and stdout printing; it does not read unrelated files, environment variables, or send data to unexpected endpoints. Note: it makes network requests to Yahoo Finance (via yfinance).
Install Mechanism
There is no registry install spec (instruction-only), which is low-risk. SKILL.md asks users to run 'pip3 install yfinance numpy --break-system-packages' — this installs packages from PyPI (supply-chain risk) and the '--break-system-packages' flag can affect system-managed Python packages; recommend using a virtualenv or isolated environment instead of breaking system packages.
Credentials
The skill requires no environment variables, credentials, or config paths. The code does not attempt to access secrets. The only external dependency is network access to fetch market data from Yahoo Finance.
Persistence & Privilege
Skill does not request permanent/always-on inclusion, does not modify other skills or system settings, and does not store credentials. Autonomous invocation is allowed by platform default but is not combined with other concerning privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install chan-theory-analysis - After installation, invoke the skill by name or use
/chan-theory-analysis - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
- Improved documentation for faster setup and clearer core concepts
- Streamlined quick start: installation and usage combined for simplicity
- Refined and shortened core theory sections for better readability
- Enhanced feature list with icons and concise descriptions
- Market support examples clarified and reduced to key tickers
- Added a clear risk disclaimer for user awareness
v1.0.0
Initial release: A Chan Theory (缠论) technical analysis tool.
- Provides trend center (走势中枢) analysis, segmentation, divergence detection, and buy/sell point identification based on Chan Theory.
- Supports analysis of A-shares, Hong Kong stocks, US stocks, and cryptocurrencies.
- Includes automatic stroke (笔) recognition, trend center calculation, and divergence judgment (with MACD).
- Identifies first, second, and third type buy/sell signals and "well" (井) patterns.
- Command line support for analyzing specific stocks or crypto tickers.
Metadata
Frequently Asked Questions
What is 缠论技术分析?
缠论技术分析工具。基于缠中说禅理论，提供走势中枢分析、笔分段、背驰判断、买卖点识别。支持A股、港股、美股、加密货币。 It is an AI Agent Skill for Claude Code / OpenClaw, with 607 downloads so far.
How do I install 缠论技术分析?
Run "/install chan-theory-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 缠论技术分析 free?
Yes, 缠论技术分析 is completely free (open-source). You can download, install and use it at no cost.
Which platforms does 缠论技术分析 support?
缠论技术分析 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 缠论技术分析?
It is built and maintained by sanduan003 (@sanduan003); the current version is v1.1.0.
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