Part B · Chapter 9 of 9 · 6 min read

Comparative Intelligence for the Entire Market

Why human investors naturally fall into confirmation bias when faced with 10,000+ investable assets, and how combining Quantitative Intelligence with Comparative Intelligence puts a personal quant on your desk.

There is a vast universe of investable assets available to any investor today: roughly 6,000 US-listed stocks, more than 3,500 ETFs, over 7,000 mutual funds, and thousands of global and digital assets. Trying to track this universe on your own, benchmark your existing portfolio against the rest of the market, and discover new risk-balanced opportunities is an insurmountable task with manual spreadsheets. You would need a full-time quantitative data scientist crunching numbers for you every day.

The Trap of Confirmation Bias

Because nobody can manually compute volatility, drawdowns, Sharpe Ratios, and correlations across thousands of tickers, most investors only ever evaluate a tiny handful of assets they happen to hear about in the news, on social forums, or from friends. Once an investor latches onto two or three familiar tickers, confirmation bias takes over: it becomes very easy to seek out stories that justify owning them while remaining completely blind to both their hidden risks and the superior alternatives sitting elsewhere in the market.

Ideally, an investor should be impartial to any single ticker and allocate capital based on a combination of clear fundamental hypotheses and objective, market-wide quantitative facts.

Your Personal Data Scientist and Quant

We built EasyCompare and BetterThanSPY to serve as that personal data scientist and quant. When you combine two foundational pillars, you get a remarkably clear lens on the market:

Pillar 1

Quantitative Intelligence

Automatically compute institutional-grade quantitative metrics (Annualized Return/CAGR, Volatility, Sharpe Ratio, Maximum Drawdown, Trend Consistency, and S&P 500 Correlation) across any time horizon you choose in milliseconds.

Pillar 2

Comparative Intelligence

Allow any set of assets (your current portfolio, a watchlist, or a sector basket) to be compared directly against market benchmarks like the S&P 500 (SPY), Gold (GLD), or Treasury Bills (SGOV). A single metric in isolation is abstract; seeing how five assets stack up against each other makes the right decision obvious.

Comparative Quant Intelligence Scorecard comparing NVIDIA, Eli Lilly, Gold, Berkshire Hathaway, S&P 500, Bitcoin, and US Treasury Bills across 5Y Return, Trend, Volatility, Sharpe Ratio, Max Drawdown, and SPY Correlation
Figure 9.1: Comparative Quant Intelligence in One View (Oct 2020 to Oct 2025). By placing 5Y Return, Trend, Volatility, Sharpe Ratio, Max Drawdown, and SPY Correlation side by side, you immediately see trade-offs that raw return charts hide: Eli Lilly (1.26 Sharpe, +32% SPY Corr) and Gold (1.13 Sharpe, +12% SPY Corr) delivered superior risk-adjusted returns and diversification compared to far more volatile assets.
Launch this exact 7-asset comparative matrix in EasyCompare:

Five Practical Workflows You Can Run Today

With every chapter of this book now in your toolkit, here are five high-impact workflows you can run in one click using EasyCompare and BetterThanSPY:

  1. Benchmark Your Portfolio Against the S&P 500: Enter the tickers you currently own alongside SPY in EasyCompare over 1Y, 3Y, and 5Y windows. Check which holdings actually beat SPY on a Sharpe Ratio basis, and which ones added huge volatility and drawdown for mediocre returns.
  2. Find Assets That Beat SPY With Lower or Similar Risk: Open BetterThanSPY to screen for stocks and ETFs that have outperformed the S&P 500 across multiple horizons with strong Sharpe Ratios and disciplined drawdowns.
  3. Spot Consistent Medium-Term Trends (6M & 1Y): Compare sector ETFs (XLK, XLV, XLE, XLF, XLI, GLD) over the last 6 months and 1 year (open live 1Y sector comparison →) to see where consistent momentum is building.
  4. Eliminate Portfolio Clones & Add True Diversifiers: Check the SPY Corr column across your holdings. If every position you own is +75% to +95% correlated to the S&P 500, test adding low-correlation compounders or hard assets like GLD, SGOV, or defensive healthcare/consumer names.
  5. Size Your Positions Using Inverse Volatility: Before buying a new stock or crypto asset, compare its 5-year Volatility and Max Drawdown against SPY. If its volatility is 3x higher than SPY, size your dollar allocation accordingly so a single downturn never threatens your financial peace of mind.

Disclaimer & Educational Notice

No Financial Advice: The entire contents of this book and its companion web applications (EasyCompare, BetterThanSPY, and QuantCommons) are provided strictly for educational, informational, and research purposes. Neither the author nor EasyCompare is a registered investment adviser, broker, or financial planner. Nothing in these pages constitutes a solicitation or personal recommendation to buy or sell any security.

Do Your Own Due Diligence & Past Performance Notice: Investing in securities involves substantial risk of loss. Past performance, historical volatility, drawdowns, correlations, and Sharpe ratios are representative only of historical market conditions and are no guarantee of future results. Always verify data independently and only invest capital you can afford to put at risk.