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loda13

Stock Tech Analysis

by loda13 · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ✓ Security Clean
2707
Downloads
0
Stars
20
Active Installs
1
Versions
Install in OpenClaw
/install stock-tech-analysis
Description
Simple technical analysis for stocks (Tencent, Xiaomi, Tesla, NVIDIA, etc.). Calculates moving averages (SMA20, SMA50), RSI (14-day), price position in 20-da...
Usage Guidance
This skill appears coherent and low-risk: it simply fetches public stock data from Yahoo Finance and prints calculated indicators. Before running, note that it requires outbound network access to query Yahoo Finance, may be subject to rate limits, and will print results to stdout. No credentials are requested or stored. If you want extra assurance, inspect the included scripts/analyze_stocks.py yourself (it's short and readable) or run it in a restricted environment. If you need integration with a paid data provider or automated scheduling, expect to extend the script and possibly add credentials—review any such changes carefully.
Capability Analysis
Type: OpenClaw Skill Name: stock-tech-analysis Version: 0.1.0 The skill bundle provides a straightforward stock technical analysis tool using the Yahoo Finance public API. The Python script (scripts/analyze_stocks.py) uses only the standard library (urllib.request) to fetch market data and perform calculations for SMA and RSI, with no evidence of data exfiltration, malicious execution, or prompt injection.
Capability Assessment
Purpose & Capability
Name/description (moving averages, RSI, 20-day range) align with the included Python script and SKILL.md. No unrelated credentials, binaries, or services are requested.
Instruction Scope
Runtime instructions simply run the provided Python script. The script performs network requests to Yahoo Finance (expected for this purpose). It does not read other files, access environment variables, or transmit data to any endpoint other than Yahoo Finance.
Install Mechanism
No install spec; this is instruction-only plus a Python script that uses the standard library. Nothing is downloaded or written by an installer.
Credentials
No environment variables, credentials, or config paths are required. The script uses only public Yahoo Finance endpoints and the Python standard library.
Persistence & Privilege
always is false and the skill does not request persistent/system-wide configuration or modify other skills. It runs only when invoked.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install stock-tech-analysis
  3. After installation, invoke the skill by name or use /stock-tech-analysis
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
Initial release of simple stock technical analysis tool. - Calculates SMA20, SMA50, and 14-day RSI using Yahoo Finance data. - Determines price position in 20-day high/low range. - Provides buy/hold/sell signals and a concise technical summary for each ticker. - Works with major stocks (Tencent, Xiaomi, Tesla, NVIDIA) and any Yahoo Finance ticker. - No additional dependencies; uses only Python standard library.
Metadata
Slug stock-tech-analysis
Version 0.1.0
License MIT-0
All-time Installs 20
Active Installs 20
Total Versions 1
Frequently Asked Questions

What is Stock Tech Analysis?

Simple technical analysis for stocks (Tencent, Xiaomi, Tesla, NVIDIA, etc.). Calculates moving averages (SMA20, SMA50), RSI (14-day), price position in 20-da... It is an AI Agent Skill for Claude Code / OpenClaw, with 2707 downloads so far.

How do I install Stock Tech Analysis?

Run "/install stock-tech-analysis" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Stock Tech Analysis free?

Yes, Stock Tech Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Stock Tech Analysis support?

Stock Tech Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Stock Tech Analysis?

It is built and maintained by loda13 (@loda13); the current version is v0.1.0.

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