# Alphagbm Compare

> Compares 2-5 stocks or options across GBM Five Pillars scores, options metrics, technicals, and valuations, highlighting winners per category and providing an overall recommendation.

- Skill: `alphagbm/alphagbm-compare` (Agent Skill)
- Install (CLI): `npx skillmds@latest add alphagbm/alphagbm-compare`
- Raw SKILL.md: https://api.skillmd.com/api/skills/alphagbm/alphagbm-compare/raw
- Safety review: PASS (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics, Coding & Dev Tools, Finance & Business, Data Analysis, Trading & Investing
- Tags: Alphagbm, Comparison, Gbm Five Pillars, Iv Rank, Options, Stocks, Technicals, Valuations
- Author: AlphaGBM (https://skillmd.com/u/alphagbm)
- Updated: 2026-07-06
- Page: https://skillmd.com/skills/alphagbm/alphagbm-compare

---


# AlphaGBM Compare

Side-by-side comparison of 2-5 stocks or options across every AlphaGBM dimension, so you can pick the best opportunity.

## What This Skill Does

| Dimension | What Gets Compared |
|-----------|--------------------|
| GBM Five Pillars | Momentum, Value, Quality, Volatility, Sentiment scores for each ticker |
| Options Metrics | IV rank, IV percentile, VRP, skew, term structure for each ticker |
| Technicals | RSI, MACD, moving averages, support/resistance levels |
| Valuations | P/E, P/S, EV/EBITDA, PEG ratio — who is cheaper? |
| Category Winner | Best ticker in each dimension highlighted |
| Overall Recommendation | Weighted composite ranking across all dimensions |

## How to Use

**Input:** 2-5 ticker symbols with a comparison query.

**Output:**
- Comparison table with all dimensions side by side
- Winner highlighted per category (green badge)
- Overall recommendation with composite score
- Key differentiators: what makes the winner stand out
- Trade idea: if you had to pick one, which and why

**Example Queries:**
- `compare AAPL vs MSFT` — Head-to-head across all dimensions
- `NVDA or AMD` — Which semiconductor name is the better trade?
- `which is cheaper TSLA or META options` — Options cost comparison
- `tech stock comparison AAPL MSFT GOOGL AMZN META` — Full sector comparison
- `compare options AAPL vs MSFT 30d ATM` — Specific options contract comparison

## Mock Data

Mock data files are located in `mock-data/compare/` and include:
- `aapl-vs-msft.json` — Full comparison output for AAPL vs MSFT
- `tech-five-way.json` — Five-way comparison of mega-cap tech
- `options-cost-compare.json` — Options-specific metrics comparison

## API Endpoint

```
GET /api/analytics/compare
```

Query parameters:
- `symbols` (string, required) — Comma-separated tickers (2-5), e.g., "AAPL,MSFT,GOOGL"
- `dimensions` (string, default "all") — Comma-separated: "pillars", "options", "technicals", "valuations"
- `options_expiry` (string) — Target expiry for options comparison (e.g., "30d", "60d")

Response fields: `tickers[]`, `comparison_table`, `category_winners`, `overall_ranking[]`, `recommendation`

## Related Skills

| Skill | Relevance |
|-------|-----------|
| [alphagbm-stock-analysis](../alphagbm-stock-analysis/) | Detailed single-stock analysis for deeper dives after comparison |
| [alphagbm-options-score](../alphagbm-options-score/) | The options score that feeds into the comparison |
| [alphagbm-iv-rank](../alphagbm-iv-rank/) | IV rank data used in the options metrics comparison |

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