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How to Build a Portfolio That Beats the Market

Most investors and funds don’t beat the S&P 500 after fees. This guide shows what a realistic version of “beating the market” looks like, what 19 backtested portfolios did against the index, and how an index core plus a small stock sleeve changes the math.

Published Updated 7 min readHow we research

Key takeaways

  • Most portfolios don’t: 79% of active large-cap US funds trailed the S&P 500 in 2025 (SPIVA). A realistic target is to beat a risk-matched benchmark: more return per unit of risk, without a drawdown deep enough to force selling.
  • In Exent’s 10-year backtests to Sep 2026, none of 19 strategies had both a higher Sharpe ratio and a smaller worst drawdown than simply holding the S&P 500.
  • Higher returns came with deeper falls: an equal-weight Magnificent 7 basket returned 36.5% a year against 15.2%, but its worst drop was 45.7% against 23.9%.
  • Illustrative core-satellite math: with 80% in an index fund and 20% in picks, picks that beat the index by 5 points a year lift the whole portfolio by only 1 point.
  • Judge the result after fees and taxes, against the right benchmark, over a full market cycle of at least three to five years.

Can you build a portfolio that beats the S&P 500?

You can, but the odds are poor, and professionals mostly fail at it. S&P Dow Jones Indices’ SPIVA U.S. Year-End 2025 scorecard found that 79% of active large-cap US funds trailed the S&P 500 index in 2025. Winning streaks rarely last: in the U.S. Persistence Scorecard Year-End 2025, only 4.5% of large-cap funds in the top half of their peers stayed there in each of the next years, below the 6.25% pure chance would produce.

Individual investors face the same headwinds plus their own timing. Morningstar’s Mind the Gap 2026 study found that over the 10 years to Dec 31, 2025 the average dollar in US funds earned 8.7% a year while the funds themselves returned 9.9%. The gap came from when investors bought and sold. Why the index is so hard to beat is covered in why most investors can’t beat the S&P 500 and how many stocks beat the S&P 500.

What does “beating the market” mean for a real portfolio?

For most investors it means earning more return for the risk taken, not the highest raw return. Three tests capture it:

  • Beat a risk-matched benchmark. A portfolio with 40% in bonds should be judged against a stock-and-bond mix of similar risk, not the all-stock S&P 500.
  • Raise return per unit of risk. The Sharpe ratio divides excess return by volatility; a higher Sharpe means more reward for each unit of swings.
  • Avoid drawdowns that force selling. The fall you cannot sit through is the one that turns a paper loss into a real one.

Drawdowns matter because of the arithmetic of recovery. Illustrative: a $1,000,000 portfolio that falls 23.9% needs a 31.4% gain to get back to even. One that falls 45.7% needs an 84.2% gain. The bigger the hole, the longer the climb, and the more likely an investor near retirement sells at the bottom. More on the benchmark side in risk-matched benchmark and how to measure risk‑adjusted outperformance.

What does a portfolio that beat the S&P 500 with less risk look like?

In the decade to Sep 2026 it was rare. Exent ran 19 monthly backtests from July 2016 to September 2026. The table shows a selection. These are hypothetical backtests on fund prices, without taxes or trading costs.

Backtest (Jul 2016–Sep 2026)Annual returnSharpe ratioWorst drawdown2022Years ahead of S&P 500
S&P 500 (buy and hold)15.2%0.8823.9%−18.2%—
Magnificent 7, equal weight36.5%1.2545.7%−45.1%8 of 9
Nasdaq-10021.5%1.0332.6%−32.6%7 of 9
S&P 500 Growth17.8%0.9230.5%−29.5%7 of 9
Momentum factor16.2%0.8130.2%−18.3%5 of 9
Dividend growth12.6%0.8020.2%−9.8%3 of 9
Minimum volatility9.4%0.6319.1%−9.4%2 of 9
60/40 stocks and bonds9.5%0.7520.0%−15.8%2 of 9
  • S&P 500 (buy and hold)
    Annual return
    15.2%
    Sharpe ratio
    0.88
    Worst drawdown
    23.9%
    2022
    −18.2%
    Years ahead of S&P 500
    —
  • Magnificent 7, equal weight
    Annual return
    36.5%
    Sharpe ratio
    1.25
    Worst drawdown
    45.7%
    2022
    −45.1%
    Years ahead of S&P 500
    8 of 9
  • Nasdaq-100
    Annual return
    21.5%
    Sharpe ratio
    1.03
    Worst drawdown
    32.6%
    2022
    −32.6%
    Years ahead of S&P 500
    7 of 9
  • S&P 500 Growth
    Annual return
    17.8%
    Sharpe ratio
    0.92
    Worst drawdown
    30.5%
    2022
    −29.5%
    Years ahead of S&P 500
    7 of 9
  • Momentum factor
    Annual return
    16.2%
    Sharpe ratio
    0.81
    Worst drawdown
    30.2%
    2022
    −18.3%
    Years ahead of S&P 500
    5 of 9
  • Dividend growth
    Annual return
    12.6%
    Sharpe ratio
    0.80
    Worst drawdown
    20.2%
    2022
    −9.8%
    Years ahead of S&P 500
    3 of 9
  • Minimum volatility
    Annual return
    9.4%
    Sharpe ratio
    0.63
    Worst drawdown
    19.1%
    2022
    −9.4%
    Years ahead of S&P 500
    2 of 9
  • 60/40 stocks and bonds
    Annual return
    9.5%
    Sharpe ratio
    0.75
    Worst drawdown
    20.0%
    2022
    −15.8%
    Years ahead of S&P 500
    2 of 9

The pattern is a trade-off. Three backtests beat the S&P 500’s Sharpe ratio (Magnificent 7, Nasdaq-100, S&P 500 Growth), and all three had deeper drawdowns. Nine had smaller drawdowns, and every one of them had a lower Sharpe ratio. None of the 19 did both. In a decade led by the largest US companies, the cap-weighted index was a demanding benchmark.

Among funds, one example did manage all three tests over the period. The Invesco S&P 500 Momentum ETF (SPMO) returned 525.8% over the 10 years to Sep 30, 2026, against 310.7% for SPY, with a Sharpe ratio of 1.00 against 0.86 and a worst month-end drawdown of 21.3% against 23.9%. That is one fund in one decade, and momentum has had long losing stretches in other periods. More examples in can you beat the market with less risk.

Can a few stocks on top of an index fund beat the market?

Yes, but only by a fraction of what the stocks themselves do, which is the point. A core-satellite portfolio keeps most money in a low-cost index fund and puts a limited sleeve into individual picks. The sleeve’s results are diluted in both directions.

Illustrative: $1,000,000, 80% index / 20% picksIndexPicksWhole portfolio
Picks beat the index by 5 points a year+10%+15%+11% (1 point ahead)
Picks double in a flat year0%+100%+20% ($200,000)
Crash: picks fall twice as hard−25%−50%−30% ($300,000)
Picks match the index, minus 1% extra costs+10%+9%+9.8%

Two lessons follow. A big winner in a 20% sleeve still moves the whole portfolio meaningfully. And a crash in the sleeve adds a few points of damage rather than a catastrophe, as long as the sleeve stays near its limit. That limit is the real decision; see how much to put in speculative stocks, core-satellite and position sizing.

How do you build it, step by step?

One approach many self-directed investors use, written as a checklist:

  • Pick the benchmark first: the index mix that matches the risk you are willing to take, written down before you start.
  • Hold the core in broad, low-cost index funds. Fees are the one return drag you control fully.
  • Cap the satellite (for example 10–20%) and each position inside it, and write the rule for trimming when a winner outgrows it.
  • Check that the picks are not one bet: five chip stocks that move together are one position, not five.
  • Replay the mix through 2008, 2020 and 2022 and ask whether you would have held on at the worst point.
  • Rebalance on a schedule or a band, not on headlines.

How do you know if it is working?

Compare like with like, after costs, over long enough to include a bad year. Use time-weighted returns so deposits and withdrawals don’t distort the result, compare them with the risk-matched benchmark, and look at Sharpe ratio and worst drawdown alongside return. A single good year proves little; three to five years that include a downturn tell you more. If the satellite has trailed the core for that long, the honest conclusion may be that the core alone is the better portfolio. Separating skill from luck explains how long a record needs to be before it means something.

How to check your portfolio against the market with Exent

  1. Protect: upload a screenshot of your holdings (or a CSV, Excel, PDF or Google Sheet; no brokerage login) and Exent shows concentration, correlation clusters and crash replays for 2008, 2020 and 2022.
  2. Grow: Exent compares the portfolio with a risk‑matched benchmark, plots it on the efficient frontier, and the what‑if simulator shows a new core‑satellite mix before you trade.
  3. Find: Gems, stocks where several of the best‑rated analysts agree, are our hunt for the next big winners for the satellite; a research starting point, not a prediction.

Exent is our product. Educational content, not investment advice.

Frequently asked questions

Most portfolios do not beat the S&P 500 after fees, so a realistic goal is to beat a risk-matched benchmark. Many investors hold a low-cost index core, cap a satellite of individual picks, and measure the result over several years after costs.

It is rare. In Exent’s 19 backtests from 2016 to Sep 2026, none had both a higher Sharpe ratio and a smaller worst drawdown than the S&P 500. One fund, an S&P 500 momentum ETF, did both over that decade, which is a past result and not a forecast.

They can lift returns, but only in proportion to their weight. Illustratively, a 20% sleeve that beats the index by 5 points a year adds about 1 point to the whole portfolio, and a sleeve that falls twice as hard in a crash adds about 5 points of extra loss.

In the decade to Sep 2026 an equal-weight Magnificent 7 basket returned 36.5% a year against 15.2% for the S&P 500, but it fell 45.1% in 2022 and had a worst drawdown of 45.7%. Past concentration in winners does not tell you which stocks will lead next.

At least three to five years that include a downturn. One-year results are dominated by luck and by whatever sector happened to lead.

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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.