Measure
Sharpe ratio
Definition
Excess return per unit of total volatility.
Formula
S = (R_p − R_f) / σ_p
How to read it
Higher is better for a given return stream. It is only comparable between series measured at the same frequency over the same window with the same risk-free proxy.
What it does not tell you
It treats upside and downside volatility identically, so a fund punished for rising sharply scores worse. It also assumes roughly symmetric returns; strategies that sell tail risk can post excellent Sharpe ratios right up until the tail arrives.
Applied in 42 articles
42- Sharpe, Sortino, or Calmar? Choosing the Right Risk-Adjusted Metric for Your Goal
- Volatility Targeting: How Scaling Exposure to a Risk Budget Changes Long-Term Outcomes
- AVDV vs AVUV: Does the Small-Cap Value Premium Travel Overseas?
- URA vs URNM vs NLR: Uranium Miners vs Nuclear Utilities — Two Bets on the Same Thesis
- Momentum Crashes, Explained: Why the Most Crowded Trades Unwind Fastest
- QRFT vs AMOM: AI-Driven Quality vs AI-Driven Momentum — A Head-to-Head Read
- SCHD vs JEPI: Dividend Growth vs Covered-Call Income — Which Belongs in a Long-Term Core?
- 12 Months of Live AI-Quant ETFs vs the S&P 500 — Honest Data Review
- AMOM Explained: How AI Weights Momentum Differently from MTUM
- AIEQ Review: 7 Years of Live AI-Managed ETF — What Actually Worked
- VUG vs. TTAI: Large-Cap Growth vs. AI-Based Tactical Theme Rotation
- VXUS vs. IQIN: International Stocks vs. AI-Driven Global Multi-Factor Asset Allocation
- VTI vs. AIEQ: Total Market Index vs. IBM Watson’s AI Selection Performance
- QQQM vs. QRFT: Nasdaq 100 vs. AI-Driven Quality Factor Investing
- The Master Class: How to Use Claude (Anthropic) to Backtest Your Own ETF Strategy
- Best AI-Managed ETFs for 2026: A Deep Dive into AIEQ and AMOM
- VOO vs. MTUM vs. QUAL: Which Smart Beta ETF Wins Based on Historical Backtests?
- The Master Guide to Evidence-Based ETF Portfolios: Using AI to Optimize Allocation (2026)
- The Future of Active Management: How AI Agents are Replacing Traditional Hedge Funds
- VOO vs. MTUM vs. QUAL: Which Smart Beta ETF Wins Numerically? (Backtest Analysis)
- Top 5 Quantitative Investment Papers Every Long-Term Investor Must Read
- Renaissance Technologies vs. Berkshire Hathaway: Two Different Paths to Infinite Wealth
- Repositioning Without Prediction: A 2026 Rotation Framework for Long-Term ETF Portfolios
- What Market Rotation Is — and Isn't — for Long-Horizon ETF Investors
- Reading 2026 Capital Flows: The Macro Arithmetic Behind the "Smart Money" Narrative
- When to Stop Investing: The Art of Risk Management and Strategic Cash
- The Rule of 72 in Practice: What Realized ETF Returns Say About Doubling Time
- The Rationale Behind a Five-ETF Long-Term Core: VOO, QQQM, SCHD, VXUS, AVUV
- How to Start ETF Investing: The Complete 2026 Roadmap
- The Honest Math of Leveraged ETFs: A 5-Year Data Read on TQQQ, SSO, and UPRO
- Rebalancing After an AI Concentration Run: Where the Trimmed Capital Actually Belongs
- The Impact of 2026 Energy Policies on Your Long-Term Portfolio
- PSCU vs XLU and VPU: What Five Years of Data Say About Small-Cap Utility Exposure
- VXUS vs. a US-Only Core: What International Diversification Actually Adds
- The 90/10 Allocation Framework: Pairing Broad Equity, AI Infrastructure, and a Cash Sleeve
- Buy and Hold in 2026: What Rebalancing Discipline Actually Adds to Long-Term ETF Returns
- Tax-Loss Harvesting and the After-Tax Compounding Gap: What the Math Actually Shows
- SCHD, AVUV, and VXUS During the Iran–U.S. War Shock Dividend Stability, Small-Cap Risk, and Global Exposure — A Data-Driven ETF Analysis
- SGOV, VOO, and QQQM Under Geopolitical Stress: What Oil, Yields, and Volatility Reveal
- Gold vs Silver in 2026: Which Is the Better Long-Term Investment? (GLD vs SLV ETF Comparison)
- The Tesla Ecosystem Through an ETF Lens: How Long-Horizon Investors Should Think About Concentrated Innovation Bets
- Volatility vs. Permanent Loss: What Risk Actually Means for Long-Term ETF Investors
Every figure computed with this measure on this site follows the conventions set out in the methodology. All measures →