ResourcesInsight

Does Any Strategy Beat the S&P 500? 10 Years of Backtests Compared

18 well‑known investing strategies, from equal weight and momentum to 60/40, trend following and optimized portfolios, tested against the S&P 500 on the same 10‑year window with dividends reinvested.

6 min readHow we research

Key takeaways

  • Of 18 strategies tested, 4 beat the S&P 500’s annual return (+15.2%) over the window, and 3 beat its Sharpe ratio (0.88).
  • Most strategies that cut volatility also cut return: lower drawdowns usually cost upside in a strong bull market.
  • Lump sum beat dollar‑cost averaging into the S&P 500 in 84.8% of rolling 12‑month windows.
  • One decade is one regime: US large‑cap growth led, which flatters some strategies and punishes others.

Every strategy against the S&P 500

StrategyReturn / yrVolatilitySharpeMax drawdownYears beating S&P
Magnificent 7, equal weight+36.5%26.3%1.25−45.7%8/9
Nasdaq-100+21.5%18.8%1.03−32.6%7/9
S&P 500 Growth+17.8%17.2%0.92−30.5%7/9
S&P 500 (buy and hold)+15.2%15.2%0.88−23.9%—
Max-Sharpe optimized (trailing 36 months)+13.5%13.6%0.83−30.5%3/6
Momentum factor+16.2%18.0%0.81−30.2%5/9
Quality factor+14.2%15.5%0.81−27.8%3/9
Dividend growth+12.6%13.4%0.80−20.2%3/9
60/40 rebalanced once a year+9.6%10.1%0.76−20.1%2/9
60/40 stocks and bonds (monthly rebalanced)+9.5%10.1%0.75−20.0%2/9
High-dividend equity+12.2%15.2%0.70−21.6%2/9
S&P 500 Value+11.4%15.2%0.66−25.3%2/9
10-month moving-average trend filter (≈200-day)+9.4%11.6%0.66−21.9%0/9
Risk parity (inverse volatility)+8.7%10.4%0.65−23.0%2/8
Minimum volatility+9.4%12.2%0.63−19.1%2/9
Equal-weight S&P 500+11.5%16.5%0.62−26.7%2/9
Small caps (Russell 2000)+10.4%20.7%0.48−32.3%1/9
All-weather-style mix+5.1%9.0%0.38−21.6%1/9
Minimum-variance optimized (trailing 36 months)+0.7%5.9%−0.27−17.1%1/6

Sorted by Sharpe ratio (return per unit of risk). The highlighted row is the S&P 500.

Lump sum vs dollar‑cost averaging

Across 112 rolling 12‑month windows, investing a lump sum in the S&P 500 on day one ended ahead of spreading the same money over 12 monthly purchases 84.8% of the time, by +7.43% on average. Markets rise more often than they fall, so time in the market usually wins; averaging in mainly buys peace of mind.

How to read these results

Beating the index on raw return and beating it on risk‑adjusted return are different goals. A strategy that matched the S&P 500 with half the drawdown would be a win for most people, because it is easier to hold through a crash. See portfolio optimization: return vs risk.

Backtested (hypothetical) results calculated by Exent from historical ETF prices with dividends reinvested, monthly rebalancing unless stated, and no trading costs, taxes or fees beyond the funds’ own expense ratios. Backtests are not actual trading and have hindsight bias. Past performance does not guarantee future results. Not investment advice.

Frequently asked questions

In Exent's 10-year backtest, 4 of 18 popular strategies beat the S&P 500's annual return and 3 beat its Sharpe ratio. Results depend heavily on the period: over this decade US large-cap growth led the market.

Historically, usually yes: lump sum beat 12-month dollar-cost averaging into the S&P 500 in 84.8% of rolling windows in Exent's data, because markets rise more often than they fall.

See what your portfolio is really made of.

Upload a screenshot of your holdings and get concentration, overlap, crash exposure and a risk-matched benchmark in about a minute.

Check my portfolioLimited offer$1.95 for unlimited checks· unlimited checks

Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.

DISCLAIMER: Exent AI is an informational research platform and does not provide investment advice, financial advice, or act as an investment adviser, broker-dealer, or fiduciary. All content, analytics, and model outputs are provided for educational and informational purposes only and should not be relied upon as a recommendation to buy, sell, or hold any financial instrument. Investing involves risk, including the possible loss of principal. Exent AI does not execute trades, hold customer funds, or provide brokerage services. Past performance and hypothetical results are not indicative of future results. Third-party data and AI-generated outputs may be incomplete or inaccurate.