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Wyckoff Stock Diagnosis (A股诊股工具)
by
Dxarch1980
· GitHub ↗
· v1.0.0
· MIT-0
85
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0
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0
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1
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Install in OpenClaw
/install wyckoff-stock
Description
A股诊股工具，基于Wyckoff 2.0方法论分析股票。支持获取实时K线数据、技术指标计算、趋势分析、支撑阻力识别、Wyckoff结构判断、风险收益评估。
Usage Guidance
This skill is coherent with its description and does not ask for secrets, but review & test before use: 1) Inspect and (if necessary) fix the bundled script — the provided file appears to contain an incomplete/typo line that may crash execution. 2) Install efinance in a sandboxed/python virtualenv before running; efinance will make network requests to fetch market data. 3) Validate outputs on known tickers (and with historical backtests) — analytics code can contain logic bugs or edge cases. 4) Do not treat results as investment advice. If you want higher confidence, ask the author for a clean, complete source or run the script in an isolated environment and review network traffic to confirm only expected endpoints are contacted.
Capability Analysis
Type: OpenClaw Skill
Name: wyckoff-stock
Version: 1.0.0
The skill bundle is a legitimate stock analysis tool for the A-share market based on the Wyckoff 2.0 methodology. The core logic in `scripts/diagnose.py` uses the `efinance` library to fetch historical market data and performs standard technical analysis calculations (Moving Averages, Volume Profile, Weis Wave) without any signs of malicious behavior, data exfiltration, or unauthorized execution.
Capability Assessment
Purpose & Capability
Name/description match the implementation: the script fetches A‑share K‑line data via the efinance library and computes moving averages, volume/Weis Wave/volume‑profile analyses and Wyckoff-related heuristics. The declared dependency (efinance) is appropriate for the task.
Instruction Scope
SKILL.md instructions and the script stay within stock analysis (fetch data, compute indicators, produce JSON report). The instructions do not ask the agent to read unrelated system files or environment variables. Note: the provided script content in the package appears truncated/contains a coding error (a partial line 'if val_touche...' / variable name typo) that could cause runtime exceptions.
Install Mechanism
No install spec (instruction-only) and no arbitrary downloads — the script depends on the public pip package 'efinance'. That is a low to moderate risk (you must pip install a third‑party package). No unusual install behavior or remote code fetches embedded in the skill itself.
Credentials
The skill requests no environment variables, no credentials, and requires only network access to fetch market data via efinance — this is proportional to its stated purpose.
Persistence & Privilege
Skill is not always: true and does not request elevated privileges or modify other skills. It does not persist credentials or alter system/agent configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wyckoff-stock - After installation, invoke the skill by name or use
/wyckoff-stock - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: Wyckoff 2.0 analysis, Volume Profile, Weis Wave, historical signal statistics
Metadata
Frequently Asked Questions
What is Wyckoff Stock Diagnosis (A股诊股工具)?
A股诊股工具，基于Wyckoff 2.0方法论分析股票。支持获取实时K线数据、技术指标计算、趋势分析、支撑阻力识别、Wyckoff结构判断、风险收益评估。 It is an AI Agent Skill for Claude Code / OpenClaw, with 85 downloads so far.
How do I install Wyckoff Stock Diagnosis (A股诊股工具)?
Run "/install wyckoff-stock" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Wyckoff Stock Diagnosis (A股诊股工具) free?
Yes, Wyckoff Stock Diagnosis (A股诊股工具) is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Wyckoff Stock Diagnosis (A股诊股工具) support?
Wyckoff Stock Diagnosis (A股诊股工具) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Wyckoff Stock Diagnosis (A股诊股工具)?
It is built and maintained by Dxarch1980 (@dxarch1980); the current version is v1.0.0.
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