AlphaGBM Compare for Openclaw

A stock and options comparison tool that analyzes up to five tickers across metrics like technicals, valuations, and GBM Five Pillars to identify winning trades.

clementgu
v1.0.0
Jun 30, 2026
0
390
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install alphagbm-compare

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 alphagbm-compare 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 AlphaGBM Compare?

AlphaGBM Compare is a powerful integration designed to help traders and developers perform rapid, multi-asset evaluations. By integrating with Openclaw Skills, this tool enables side-by-side analysis of up to five tickers, compiling critical dimensions like valuation ratios, options metrics, technical indicators, and GBM Five Pillars scores into a unified, actionable report.

Using this skill, developers and trading platforms can automate asset comparisons, programmatically evaluate market opportunities, and quickly surface the strongest investment candidate. It bridges the gap between raw data analysis and strategic decision-making by applying weighted composite scoring to pinpoint exact category winners.

AlphaGBM Compare Use Cases

  • Compare assets head-to-head (e.g., AAPL vs MSFT) across all five GBM pillars to decide the better tech trade.
  • Analyze options costs to identify the cheapest implied volatility (IV) rank and percentile between competing options.
  • Perform sector-wide analysis comparing up to five mega-cap tickers simultaneously.
  • Screen and rank assets based on complex technical metrics like RSI, MACD, and key support or resistance levels.

How AlphaGBM Compare Works

  1. The user inputs 2 to 5 ticker symbols along with specific comparison queries or parameters.
  2. The system triggers the analysis via API or local files, pulling technical, fundamental, and options metrics.
  3. The skill evaluates the tickers across custom dimensions including options term structure, valuations (P/E, P/S), and five-pillar scores.
  4. Visual category winners are highlighted based on individual scores.
  5. An overall recommendation is compiled using weighted composite scoring to determine the best actionable trade.

AlphaGBM Compare Setup

To configure and run the AlphaGBM Compare skill in your developer environment, follow these steps:

  1. Install the Openclaw Skills suite via CLI:
npm install -g openclaw-cli
  1. Register and configure the skill for your project:
openclaw skill add alphagbm-compare
  1. Set up mock analytics data inside your project directory at mock-data/compare/ for local testing.

AlphaGBM Compare Data Schema & Taxonomy

Data Structure and API Schema

This skill utilizes structured JSON payloads for its comparisons. Developers can query the mock directory or pull live metrics via the REST API.

Mock Data Resources

  • mock-data/compare/aapl-vs-msft.json — Comprehensive output comparing AAPL against MSFT.
  • mock-data/compare/tech-five-way.json — Comprehensive 5-way tech stock comparison.
  • mock-data/compare/options-cost-compare.json — Options-specific metrics evaluation.

Endpoint Specification

GET /api/analytics/compare

Parameter Type Required Description
symbols string Yes Comma-separated tickers (2-5), e.g., AAPL,MSFT,GOOGL
dimensions string No Filters dimensions (default: all). Options: pillars, options, technicals, valuations
options_expiry string No Target expiry date or period for options comparison (e.g., 30d, 60d)

API Response Structure

{
  "tickers": ["AAPL", "MSFT"],
  "comparison_table": {},
  "category_winners": {},
  "overall_ranking": [],
  "recommendation": ""
}

AlphaGBM Compare Advanced Features

  • Multi-Asset Composite Ranking: Programmatically weights and aggregates stock and options metrics for clean scoring.
  • Targeted Options Filtering: Refines analyses to specific contract parameters such as ATM expiry structures.
  • Seamless Tool Integration: Integrates directly with other Openclaw Skills such as alphagbm-stock-analysis and alphagbm-options-score to establish fully automated research workflows.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*