Stock Scanner for Openclaw

A professional-grade technical analysis scanner that identifies swing trading opportunities using multi-timeframe trend resonance.

eddieguan801-oss
v1.0.0
Apr 3, 2026
0
657
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install stock-trend-scanner

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install stock-trend-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Stock Scanner?

The Stock Scanner is a powerful technical analysis engine designed for Openclaw Skills to assist traders in finding high-probability swing trading setups. It moves beyond simple price tracking by analyzing stock performance across Daily, Weekly, and Monthly timeframes simultaneously. By looking for resonance—where multiple timeframes align in the same direction—the skill filters out market noise and identifies strong trends. This tool is essential for developers and traders using Openclaw Skills who need data-driven insights into buy and sell signals based on MACD, volume-price action, and automated support/resistance detection.

Stock Scanner Use Cases

  • Scanning specific tickers like AAPL or TSLA for immediate technical buy or sell recommendations.
  • Identifying perfect resonance setups where daily, weekly, and monthly trends align for high-conviction entries.
  • Validating trade ideas through automated MACD crossover detection and volume-price analysis.
  • Quickly checking support and resistance levels for a list of stocks before market open.

How Stock Scanner Works

  1. The user triggers the skill by providing a stock symbol or a list of symbols.
  2. The system retrieves historical market data using yfinance, covering 1 year for daily, 2 years for weekly, and 5 years for monthly charts.
  3. Technical indicators are calculated for each timeframe, including MACD crossovers and volume spikes.
  4. A composite score is generated using a weighted model: Daily trends contribute 50%, Weekly 30%, and Monthly 20%.
  5. The skill outputs a comprehensive signal (ranging from Strong Buy to Strong Sell) along with visual resonance indicators.

Stock Scanner Setup

To use this stock scanner within your Openclaw Skills environment, ensure you have python3 and the required dependencies installed. No API keys are required as it utilizes yfinance.

# Run the scanner for specific symbols
python3 scripts/stock_scanner.py AAPL TSLA NVDA

# Run with default symbols
python3 scripts/stock_scanner.py

Stock Scanner Data Schema & Taxonomy

The skill organizes its technical output into a structured format for easy interpretation:

Attribute Specification
Data Periods Daily (1y), Weekly (2y), Monthly (5y)
Scoring Weight 50% Daily / 30% Weekly / 20% Monthly
Signal Range -5 (Strong Sell) to +5 (Strong Buy)
Indicators MACD, Volume Spikes, Support/Resistance Levels
Resonance Levels Perfect (3-way), Dual (2-way), or Conflict

Stock Scanner Advanced Features

  • Multi-timeframe resonance detection to identify when short-term momentum aligns with long-term trends.
  • Composite scoring system that translates complex technical data into actionable Buy/Sell/Hold signals.
  • Automated calculation of key support and resistance price levels for better risk management.
  • Batch processing capabilities to analyze entire watchlists in a single execution.
  • Seamless integration into Openclaw Skills automated trading or research workflows.

SKILL.md


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