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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Powered by AlphaGBM — Real-data options & research intelligence. 10K+ users.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: AlphaGBM
• Source: AlphaGBM/skills
• License: MIT
• Homepage: https://www.alphagbm.com/skills

Install and usage instructions live in the source repository linked above.