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georgetao730

Vegas T Trading

by George Tao · GitHub ↗ · v1.3.0 · MIT-0
cross-platform ✓ Security Clean
270
Downloads
1
Stars
0
Active Installs
6
Versions
Install in OpenClaw
/install vegas-t-trading
Description
维加斯通道 v3.0 多维时空共振体系。基于 EMA12/13/144/169/576/676 + 斐波那契回撤 + 多周期评分,支持 A 股和加密货币。使用场景:用户询问"做 T"、"日内交易"、"维加斯通道"、"EMA 分析"、"斐波那契"或指定股票/币的短线操作建议。
Usage Guidance
This package is coherent with its stated trading-analysis purpose, but exercise normal caution before running code from an unknown author: 1) Review scripts/vegas_analyzer.py fully (the posted content was truncated) to confirm there are no unexpected network endpoints, credential uses, or code that executes trades. 2) Expect the script to perform network requests (AKShare, possibly Binance) for market data—run it in a network-monitored or sandboxed environment if you are concerned. 3) Install dependencies from trusted sources and consider pinning versions (pip install akshare pandas). 4) The tool provides analysis only—it should not, based on the provided materials, execute trades or require API keys; if you plan to connect any broker/exchange APIs, do not supply keys unless you trust and have audited the code. 5) If you want higher assurance, ask the author for a complete code listing or run a full static review before use.
Capability Analysis
Type: OpenClaw Skill Name: vegas-t-trading Version: 1.3.0 The skill bundle implements a comprehensive technical trading analysis system based on the Vegas Tunnel strategy and Fibonacci retracement. The core logic in `scripts/vegas_analyzer.py` fetches market data from legitimate sources (Binance API for crypto and the AKShare library for A-shares) and performs standard financial calculations (EMA, RSI, Fibonacci levels) to generate trading signals. No evidence of data exfiltration, malicious execution, persistence mechanisms, or prompt injection was found in the code or documentation.
Capability Assessment
Purpose & Capability
Name/description (Vegas Tunnel trading analysis) align with the included files and runtime instructions: the Python analyzer implements EMA, Fibonacci and multi-period scoring and the SKILL.md explains how to run it. Required dependencies (akshare, pandas) are consistent with fetching market data and processing time series.
Instruction Scope
SKILL.md instructs the agent/user to run the included Python script which will fetch market data (AKShare, and for crypto it references Binance network access). The instructions do not ask the agent to read unrelated system files or secrets. Note: executing the script will perform network requests to pull market data.
Install Mechanism
No install spec; code files are bundled with the skill. Dependency installation is user-side via pip (akshare, pandas). No downloads from arbitrary URLs or extract steps are present in the package metadata.
Credentials
The skill declares no required environment variables, credentials, or config paths. The behavior described (market-data fetching) does not require API keys for public price data. No evidence of requests for unrelated secrets.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It does not attempt to modify other skills or global agent configuration in the provided materials.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install vegas-t-trading
  3. After installation, invoke the skill by name or use /vegas-t-trading
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.3.0
vegas-t-trading v1.3.0 - 更新脚本 vegas_analyzer.py 以支持更多功能或优化算法 - 调整或补充 _meta.json 文件,完善元信息 - 细节优化或修正,提升稳定性和用户体验
v3.0.3
v3.0.3 简化数据源:仅使用 AKShare(周末可获取数据),移除东方财富/新浪财经依赖,添加友好错误提示
v3.0.2
v3.0.2 新增 AKShare 数据源:支持周末获取最近交易日数据,优先使用 AKShare(Python 3.8+),备用东方财富/新浪财经
v3.0.1
v3.0.1 文档更新:输出示例添加免责声明,说明数据为示例格式
v3.0.0
v3.0.0 多维时空共振体系:新增斐波那契回撤/扩展计算、多维评分系统 (100 分制)、隧道 + 斐波那契共振检测、多周期数据传递优化
v2.0.0
v2.0.0 Pro 版本:新增 EMA576/676 趋势基准、信号等级系统、量价共振检测、多周期漏斗分析、盈亏比计算、RSI 过滤
Metadata
Slug vegas-t-trading
Version 1.3.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 6
Frequently Asked Questions

What is Vegas T Trading?

维加斯通道 v3.0 多维时空共振体系。基于 EMA12/13/144/169/576/676 + 斐波那契回撤 + 多周期评分,支持 A 股和加密货币。使用场景:用户询问"做 T"、"日内交易"、"维加斯通道"、"EMA 分析"、"斐波那契"或指定股票/币的短线操作建议。 It is an AI Agent Skill for Claude Code / OpenClaw, with 270 downloads so far.

How do I install Vegas T Trading?

Run "/install vegas-t-trading" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Vegas T Trading free?

Yes, Vegas T Trading is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Vegas T Trading support?

Vegas T Trading is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Vegas T Trading?

It is built and maintained by George Tao (@georgetao730); the current version is v1.3.0.

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