Introducing Portfolio Intelligence on OptionsMastery.ai: How We Built an AI Advisory Board

There's a quiet crisis in retail investing: the tools have outpaced the guidance. Today, any retail investor can trade multi-leg options strategies, sell naked puts, and build complex hedged positions. Platforms have democratized access, but they haven't democratized judgment.

Today, we're launching Portfolio Intelligence on OptionsMastery.ai — an AI-powered portfolio analysis engine that evaluates your stocks and options positions across five institutional-grade dimensions, provides a quantitative health score, and then lets you have a live conversation with your AI strategy explainers about what to fix.

The Architecture: Three Advisors, One Framework

Instead of building a single generic AI, we built three named advisors — each with a defined investment philosophy and a distinct analytical lens. The idea is borrowed from how institutional wealth management actually works: the best firms don't give you one opinion. They give you a committee.

📊 Sarah Chen — Chief Quant Strategist

Sarah is the strategy explainers who gives it to you straight. Her background is quantitative: Wharton MBA, MIT mathematics, with career stops at Citadel Securities and Goldman Sachs. She focuses relentlessly on leverage efficiency, Greek exposure balance, and volatility management.

📊 Thomas Sterling — Veteran Value Manager

Thomas preaches capital preservation and traditional yields. With 30+ years on Wall Street, he's weathered every major market crash since '87. He doesn't care about your 300% return on NVDA calls; he cares about whether you can survive a 40% drawdown.

📊 Elena Rossi — Markets Analyst & Ex-Goldman Banker

Elena brings the institutional macro perspective. Former Head of Macro Strategy at Goldman Sachs, she evaluates portfolios based on structural positioning, interest rate environments, and broad market cycles.

The Five-Dimension Scorecard

Raw AI commentary is useful, but it's not measurable. We built a quantitative scorecard that breaks your portfolio health into five weighted dimensions, totaling 100 points:

1. Diversification & Allocation (25 pts) — evaluates sector concentration and asset class mix.
2. Risk Management (25 pts) — focuses on hedging quality and downside protection.
3. Income & Yield Strategy (20 pts) — assesses premium collection (covered calls, CSPs) and dividends.
4. Market Positioning (15 pts) — evaluates directional bias relative to current macro trends.
5. Options Strategy Efficiency (15 pts) — a first-of-its-kind audit of your aggregate Greek exposure.

How It Actually Works

The scoring engine isn't just a simple "ask GPT" implementation. We pull real-time market data (live prices, VIX, treasury yields) before the AI evaluates anything. We also use a deterministic scoring methodology to ensure consistency and reproducibility across analyses.

The portfolio parser handles everything from simple stocks to complex multi-leg strategies like Iron Condors and Butterfly spreads, extracting strikes, expirations, and average cost basis for a truly deep audit.

The Follow-Up Chat

The scorecard is just the starting point. After the analysis, you can ask your strategy explainers follow-up questions directly. This isn't a generic chatbot — it has full context of your exact positions, the analysis it just completed, and current market conditions.

So when you ask Sarah "How do I protect my downside on my NVDA position?" — she doesn't give you a textbook answer. She looks at your specific holdings and tells you exactly which positions to adjust, at what strikes, and why.

Try It Today

Upload your portfolio or run the demo at optionsmastery.ai/portfolio/import.

In 30 seconds, you'll have a quantitative scorecard, a five-dimension breakdown, actionable analysis, and a live chat session with an AI strategy explainers who has zero interest in being nice and total interest in making your portfolio better.

Sarah, Thomas, and Elena are ready. Your portfolio might not be.