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ZJTJ-SAR指标计算器
by
haohanyang92
· GitHub ↗
· v1.0.0
· MIT-0
218
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0
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0
Active Installs
1
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Install in OpenClaw
/install zjtj-sar-calculator
Description
基于A股行情数据计算SAR抛物线指标，并用机构资金流向近似替代ZJTJ庄家抬轿指标，实现四维选股策略。
Usage Guidance
This skill appears internally consistent and implements what it says: SAR calculation plus an approximate ZJTJ signal using AkShare data. Before installing/run it: 1) Ensure akshare, pandas, numpy are installed from trusted sources and pin versions (use a virtualenv). 2) Be aware the code performs network requests to AkShare—verify you are comfortable with that data flow. 3) Review and test the numeric thresholds and try/except usage (they may hide errors or need tuning for your market/data). 4) If you need reproducible results, ask the author to provide an explicit dependency/install spec (requirements.txt) and sample data. 5) Remember this is a screening tool — it makes heuristic approximations and should not be treated as financial advice.
Capability Analysis
Type: OpenClaw Skill
Name: zjtj-sar-calculator
Version: 1.0.0
The skill bundle provides legitimate Python code for calculating financial indicators (SAR and a ZJTJ approximation) using the well-known 'akshare' library. There is no evidence of data exfiltration, malicious execution, or prompt injection; the code logic is transparent and aligns perfectly with the stated purpose of stock market analysis in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description match the provided instructions and code: the SKILL.md contains Python code to compute SAR, fetch market and fund-flow data via AkShare, and apply a four-dimension screener. Nothing required or requested is unrelated to a stock analysis tool.
Instruction Scope
Instructions import akshare/pandas/numpy and fetch data from AkShare (network calls). This is expected for a market-data tool. The SKILL.md does not instruct reading local secrets or unrelated files. It uses broad try/except blocks (which can hide errors) and hardcoded numeric thresholds — these are design choices, not hostile behavior.
Install Mechanism
This is an instruction-only skill with no install spec. That minimizes install risk, but the code depends on external Python packages (akshare, pandas, numpy) which are not listed in an install section or pinned — the user should ensure these are installed from trusted sources and preferably pinned to specific versions.
Credentials
The skill declares no environment variables, credentials, or config paths and the code does not attempt to read secrets or unrelated system configuration. Network access to AkShare is the only external dependency, which is appropriate for its purpose.
Persistence & Privilege
The skill does not request persistent/always-on privileges (always: false) and does not modify other skills or system-wide configuration. Default autonomous invocation is allowed by platform policy but is not combined with other red flags here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install zjtj-sar-calculator - After installation, invoke the skill by name or use
/zjtj-sar-calculator - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
zjtj-sar-calculator 1.0.0 初始发布
- 实现A股SAR抛物线指标的Python计算函数
- 用机构资金净流入等免费数据近似替代ZJTJ庄家抬轿指标
- 提供综合选股分析和批量筛选功能，支持四维选股策略
- 给出股票趋势判断、控盘信号、成交量放量等选股建议
- 附多场景触发用例与依赖安装说明
Metadata
Frequently Asked Questions
What is ZJTJ-SAR指标计算器?
基于A股行情数据计算SAR抛物线指标，并用机构资金流向近似替代ZJTJ庄家抬轿指标，实现四维选股策略。 It is an AI Agent Skill for Claude Code / OpenClaw, with 218 downloads so far.
How do I install ZJTJ-SAR指标计算器?
Run "/install zjtj-sar-calculator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is ZJTJ-SAR指标计算器 free?
Yes, ZJTJ-SAR指标计算器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does ZJTJ-SAR指标计算器 support?
ZJTJ-SAR指标计算器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created ZJTJ-SAR指标计算器?
It is built and maintained by haohanyang92 (@haohanyang92); the current version is v1.0.0.
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