Can You Really Earn 20-30% a Year? A Return Reality Check for DIY Investors

Twenty or thirty percent a year is not impossible. A single stock can rise 30% in a year, a concentrated portfolio can have a spectacular decade, and leverage can magnify a bull market. The extraordinary claim is not that someone once earned 30%. It is that an ordinary investor can reliably compound wealth at 20-30% a year for decades, after trading costs, financing costs, taxes, and a fair accounting of risk, and without an equally extraordinary chance of blowing up along the way. We have made a version of this point before on the Engineer Investor feed.

Compounding is what exposes the problem. At 20% a year, $1 million grows to more than $9 billion in 50 years. At 30%, $100,000 grows to roughly $3.6 billion in 40 years. A process that could produce those returns and absorb real money would be one of the most valuable financial assets on earth, and it would not stay an easy, widely shared formula sold to beginners for a few hundred dollars. The research, the arithmetic, and the economics all explain why, and they mark out the handful of real exceptions and what a DIY investor should take from them.

What happened and what to expect are different numbers

The first move in evaluating any return claim is to separate a realized return from an expected return. A realized return is one path that already happened. An expected return is what a strategy should earn on average across the futures that could happen. A three-year 30% compound return can come from starting near a market bottom, concentrating in a sector that just ran, holding high-beta stocks during a bull market, a favorable options or leverage regime, or plain luck. Three years feels substantial to the person living through it, and it tells you almost nothing about a process meant to last 30 or 40 years.

Even a ten-year record is heavily shaped by the valuation and economic regime in which it began. The question to ask a 20-30% claim is never “did it happen?” It is “how, over what period, on how much capital, and with what risk?” Most of the rest of this guide is a way of asking that question carefully.

Where a sustained 20% leads

The simplest reality check is to compound the claim and see where it goes. Here is $10,000 growing with no further contributions, before taxes, fees, and withdrawals:

The gap between a normal 8-10% and a claimed 20-30% is not a little better. Over 40 years it is the difference between a few hundred thousand dollars and hundreds of millions. Run it forward and the numbers stop being believable as a repeatable, scalable process: at 20% a year, $1 million becomes about $9.1 billion in 50 years, and $100,000 becomes about $910 million.

This is the core of Alpha Architect’s “Mission Impossible” argument. Compound a genuine edge on real money for long enough and your capital eventually has to own an implausibly large share of the entire investable market, which the opportunity set cannot supply.¹⁵ Not everyone who briefly earns 20% becomes a billionaire; starting capital, taxes, withdrawals, capacity limits, and eventual underperformance all intervene. But someone who genuinely owned a scalable 20% process, with meaningful capital, would hold an asset worth far more than any course or newsletter business. The economics of that situation are the first reason to be skeptical.

The calculator below lets you push a claimed number through the same logic. Enter the headline “average” return, then add the costs a marketing figure usually leaves out, and watch how much survives and how much wealth the raw claim would imply.

What Warren Buffett’s record shows

Buffett is the name that comes up whenever someone defends a 20% claim, and his record cuts the other way. Berkshire Hathaway compounded at 19.7% a year from 1965 through 2025, against 10.5% for the S&P 500 with dividends. Compounded over six decades, that gap produced an overall gain above six million percent, versus about 46,000% for the index.² It is one of the greatest records in the history of investing, and it still fell short of 20%.

A retail brokerage account is not comparable to what produced it. Berkshire combined concentrated stock selection, wholly owned operating businesses, cheap and stable insurance float as financing, a horizon measured in decades, the ability to sit through long stretches of underperformance, and organizational advantages that no individual has. The record was also not a smooth 20% annuity. Berkshire’s per-share market value fell 31.8% in 2008 and 23.1% in 1990.²

Research that decomposed Berkshire’s returns found an exceptional but finite Sharpe ratio of about 0.76 and average leverage near 1.6 to 1. Much of the performance traced to that modest leverage applied to cheap, safe, high-quality companies, held for a very long time, rather than to anything unexplainable.³ One of history’s best records ran on leverage, concentration, deep drawdowns, unusual institutional advantages, and sixty years of execution. A social-media chart showing a smooth 25% backtest is not in the same category.

The arithmetic that limits active management

The stock market builds wealth in aggregate because companies earn profits and grow. Beating the market is a different question, and it runs into an accounting identity. William Sharpe’s arithmetic of active management shows that, before costs, the average actively managed dollar must earn exactly the market return. After the higher research, trading, and management costs that active investing carries, the average active dollar must trail a comparable passive alternative. Some investors outperform, but every dollar of their relative gain is another investor’s relative loss.⁴

This does not prove skill is absent. It means real skill has to be rare, earned at someone else’s expense, large enough to clear its own costs, and identified in advance rather than after the winner is known. Fama and French, studying the full cross-section of U.S. equity mutual funds, found the aggregate fund portfolio close to the market before costs, with active costs showing up as lower investor returns. Their simulations found genuine skill only in the extreme tail, and few funds earned enough to cover what they charged.⁵

The scoreboard matches the theory. The S&P SPIVA scorecard for year-end 2025 found that roughly 93% of U.S. large-cap funds underperformed the S&P 500 over the preceding 20 years, and the vast majority of funds across domestic equity categories underperformed their benchmarks over the same span. These figures include funds that closed or merged, which reduces survivorship bias.⁶ Beating a plain index by even a modest margin has been hard for full-time professionals with research teams, data, and direct access to company management. A retail claim of reliable 20-30% describes an edge dramatically larger than the one almost no professional sustains, a far higher bar than ordinary skill.

What the evidence on real investors shows

The pattern among individual investors is worse, not better. Barber and Odean studied 66,465 households at a large discount broker. The most active traders earned 11.4% a year during a period when the market returned 17.9%; the average household earned 16.4% and turned over about 75% of its stock portfolio each year. More trading went with lower returns.⁷

A study of Brazilian equity-index futures day traders found that, among people who kept day trading for more than 300 days, 97% lost money. Only 1.1% earned more than the Brazilian minimum wage, and only 0.5% earned more than the starting salary of a bank teller, all while taking real risk. That exact percentage should not be treated as a universal law for every market, but it is strong evidence against the idea that practice reliably turns day trading into a living.⁸

There is also a deeper reason index funds work and stock picking is hard. Bessembinder found that only about 43% of U.S. common stocks in the CRSP database, roughly four of every seven, had lifetime buy-and-hold returns that beat one-month Treasury bills. The best-performing 4% of listed companies accounted for the entire net wealth the U.S. stock market created above T-bills since 1926.⁹ A broad index fund owns those rare giant winners automatically. A concentrated stock picker has to find them ahead of time, hold them through the doubt, and dodge enough permanent losers to survive. Our guides on why most stocks lose to T-bills and why “usually” is not a plan work through that skew in full.

How spectacular numbers get manufactured

Once you know what to look for, most eye-catching return figures come apart in one of four ways.

Concentration dressed up as skill. A portfolio loaded with technology stocks can crush the market during a technology boom. Its apparent skill often disappears once you compare it against an appropriate technology or growth benchmark instead of the broad market. A fair evaluation separates market beta, size, value, profitability, momentum and quality exposures, sector and country bets, and leverage from whatever genuine residual is left. Otherwise you pay for “skill” that is really an expensive, unstable form of factor exposure. See what the factor evidence actually supports.

Averages standing in for compounding. Suppose a portfolio gains 50% and then loses 40%. The simple average of those two years is +5%. The wealth outcome is $1.00 × 1.50 × 0.60 = $0.90, a two-year compound return of about −5.1%. Volatility opens a gap between the average of the yearly returns and the rate your money compounds at. Anyone quoting average monthly or annual returns without the compound figure is showing you a number that flatters the result.

Gross figures standing in for what you keep. A headline can quietly exclude bid-ask spreads, commissions and exchange fees, market impact, option premiums, short-borrow costs, margin interest, fund expenses, tax drag, and any advisory or subscription fee. A 25% gross strategy with high turnover, ordinary-income taxation, expensive financing, and wide spreads can leave the investor with something far less remarkable.

Backtests standing in for evidence. A backtest can be optimized across thousands of signals, lookback windows, position sizes, stop losses, and filters. The single best configuration is then presented as if it had been chosen in advance. Research on backtest overfitting shows why ordinary holdout methods are unreliable for trading strategies: the more variations you try, the easier it becomes to find a spectacular one by chance, and the hundreds of published return factors face the same problem.¹⁰ The backtest you are shown is often the surviving winner of an experiment whose failed versions were never displayed.

What leverage does to returns

Leverage can raise expected return because it raises exposure. It does not create alpha, and it magnifies losses, volatility drag, financing costs, sequence risk, margin-call risk, and the odds of a permanent wipeout. A portfolio that compounds at 20% because it holds roughly twice the market is not producing skill. It has turned a roughly 10% market return into a more fragile bet.

The path matters. A 50% decline cuts an unleveraged portfolio in half. At two-to-one leverage, the same market decline can approach a total loss once you account for forced liquidation, rebalancing, and financing. The recovery math is unforgiving in both cases: a 50% loss needs a 100% gain to break even, and a 70% loss needs a 233% gain. Leveraged ETFs add another trap, because most target a multiple of the benchmark’s daily return. The SEC warns that their returns over longer periods can differ substantially from that daily multiple, especially in volatile markets, and can produce sudden large losses.¹¹

None of this makes every leveraged allocation irrational. Moderate leverage on a diversified portfolio can be defensible for a sophisticated investor with stable financing, ample liquidity, clear rebalancing rules, and a real understanding of ruin risk. It is simply not a way for a beginner to turn ordinary market returns into reliable 20-30% compounding. Our guide on personal leverage covers margin, leveraged ETFs, and forced selling in more depth.

What options can and cannot do

Options are real tools with legitimate uses: hedging a concentrated position, building a defined-risk trade, managing a specific future liability, or expressing a view on volatility rather than direction. What they do not do is make exceptional returns reliable. Option buyers pay spreads, premiums, and often an implied-volatility premium. Option sellers collect frequent small gains while carrying exposure to infrequent severe losses, so a selling strategy can look remarkably consistent for years and then give most of it back in one event.

Research on retail option trading around earnings announcements found that retail traders tended to overpay for options relative to the volatility that later showed up, paid very wide bid-ask spreads, and reacted slowly to the news. Estimated losses averaged 5-9%, rising to 10-14% for announcements with especially high expected volatility.¹² Options rearrange risk. They do not abolish it, and their complexity makes hidden risk, poor execution, and misleading return presentations easier, not harder. The same “the premium is not free income” logic that applies to covered-call ETFs applies here.

Why selling a course is a warning sign

There is a well-worn intuition: if someone can reliably compound at 25% a year, why spend their time selling a $499 course? Treat this as a reason to demand stronger evidence, not as proof of anything. A talented investor might teach for legitimate reasons. The strategy may be capacity constrained and unable to absorb much capital. The person may enjoy teaching or want a public profile. Course revenue is steadier than investment returns. The general material may be useful while the real edge stays private. Education can simply be a good business in its own right.

Those explanations get much weaker when someone claims all of the following at once:

1. The strategy is easy enough for a novice.
2. It works across market environments.
3. It runs in liquid, ordinary securities.
4. It earns 20-30% a year with limited risk.
5. It scales to meaningful account sizes.
6. It keeps working after being disclosed widely.
7. No independently verified full track record is offered.

A scalable edge has enormous value, and disclosing it broadly tends to attract competing capital and compete the edge away. A person who truly owned one has strong reason to compound it privately or raise investment capital, not to teach it cheaply. Selling education does not prove a claim is false. But the larger and more scalable the claimed edge, the greater the opportunity cost of selling it for a few hundred dollars, and the stronger the evidence a buyer should demand. The broader pattern of these sales tactics is the subject of our guide to financial-marketing red flags.

Small businesses and real estate deserve separate treatment

Some of the most credible 20-30% stories come from private business and direct real estate, and they need their own accounting. An entrepreneur can earn 20-30% or more on invested equity for several years, but that figure often blends the owner’s labor, extreme concentration in one venture, personal guarantees and debt, illiquidity, and survival risk. A restaurant owner who puts in $100,000 and clears $30,000 after working 2,000 hours in the business has not earned a passive 30% investment return. A large part of that $30,000 is wages for the work. Foundational research found entrepreneurial investment to be extremely concentrated and yet, in aggregate, no more rewarding than public equity, which makes for a poor measured risk-return tradeoff unless nonfinancial benefits or optimism about the odds explain the choice.¹³

Direct real estate works the same way. A single property can post high equity returns when it is bought well, improved through the owner’s labor, or financed with heavy debt. The equity return then embeds borrowing, single-property concentration, vacancy and repair risk, transaction costs, local economic exposure, and a lot of operator effort. Long-run macro-history research does show that aggregate housing has earned competitive returns in many countries over the past century,¹⁴ but a diversified housing index is a different asset from a leveraged, locally concentrated landlord portfolio. High returns in private business or direct real estate usually pay the investor for labor, borrowing, illiquidity, concentration, and the risk of failure. They should not be compared one-for-one with a liquid, diversified, passive stock return.

The return claim audit

When someone presents a 20-30% record, the useful response is a checklist. A credible track record can answer all of these. A screenshot of a few good trades, a compound rate with no underlying monthly returns, or a model that happens to start at a favorable date cannot.

What this means for your own money

The practical stakes come down to one question: is your own plan built on numbers that can happen? Winning an argument with a stranger online is beside the point.

Do not build a plan around exceptional returns. A retirement or financial-independence plan that needs 15-20% a year is fragile. It substitutes an optimistic market assumption for adequate saving and spending discipline. Test your plan against a range of real (after-inflation) returns instead of a single guess: a conservative case near 3% real, a central case near 5% real, and a favorable case near 7% real, which is a scenario rather than a promise. Over the past 125 years, U.S. equities returned about 6.6% a year after inflation, and a broadly diversified global stock portfolio returned closer to 5% real, and even those came with severe drawdowns and no guarantee over any one investor’s horizon.¹ Our guide on the real return of stocks works through why the realistic planning number is closer to 5% than 7%.

Use a globally diversified, low-cost core. For most DIY investors the sensible default is broad exposure: a total-world stock fund, a total-US plus total-international pair, a simple stock-and-bond mix, or a low-cost target-date fund. That captures the rare giant winners automatically instead of gambling on picking them.

Treat tilts as tilts. Systematic exposure to size, value, profitability, or momentum can be reasonable, but an expected premium is not a guaranteed one, and it can underperform for years. A tilt suits an investor who understands why the exposure might be paid, can sit through long stretches of tracking error, has a multi-decade horizon, and will not abandon it after a few bad years. It does not suit someone chasing a fund because a backtest promised a 20% return.

Keep a small speculation sandbox. If you enjoy picking stocks, trading options, or holding crypto, cap it at something like 0-5% of the portfolio and keep your retirement security independent of it. Avoid borrowing, naked option selling, or any position that can lose more than the sandbox itself.

Spend your effort where you have control. Your savings rate, career and business income, tax efficiency, fees, asset allocation, rebalancing discipline, and simply staying invested through downturns are all more controllable than alpha, and getting them right creates more wealth for most people than chasing a heroic return ever will. Trying to force a plausible 5% real into 15% with concentration and leverage usually destroys more than optimizing those ordinary variables can build.

A return claim tells you what happened in one story. Summitward Summit is built to help you test whether the assumptions behind it hold together: compare a portfolio against a fair benchmark, run factor regressions to expose disguised beta, measure concentration and drawdowns, and check whether higher saving or modestly lower spending matters more for your plan than speculative alpha. The tools are built to test a portfolio and a plan against realistic assumptions.

Frequently asked questions

Can anyone consistently earn 20-30% a year?

A few people have earned high returns over long periods, and many people earn 20-30% in a single good year or a favorable few years. Reliable, repeatable 20-30% compounding for decades, after costs and taxes and with a fair accounting of risk, is an extraordinary claim. The arithmetic of active management, the record of professional funds, and the evidence on individual traders all say it is very rare, and someone who genuinely had it would own an asset far more valuable than a course business.

Is 12% a realistic long-term stock return to plan on?

As a nominal, before-inflation figure, U.S. stocks have averaged near 10% historically, and 12% appears in some pitches by cherry-picking a period or ignoring inflation. The number that matters for planning is the real, after-inflation return, which has been about 6.6% for U.S. stocks and closer to 5% for global stocks over the past 125 years. Building a plan on 12% will systematically lead you to save too little.

Do trading or investing courses actually work?

Some courses teach genuinely useful general knowledge. The specific claim to be skeptical of is a course promising an easy, scalable strategy that earns 20-30% for a novice. If such an edge were real and scalable, selling it cheaply would be a poor use of it. Demand a live, complete, independently verified, net-of-cost, risk-adjusted track record before believing the headline number.

Can leverage or options get me to 20-30%?

Leverage raises exposure, not skill, and it magnifies losses, financing costs, and the risk of a permanent wipeout. Options rearrange risk rather than remove it, and retail option traders have tended to lose money on average. Both can be used responsibly by sophisticated investors with strict risk controls. Neither is a reliable way for a beginner to turn a roughly 10% market into 20-30% compounding.

What return should I assume?

Plan with a range rather than a point forecast. A conservative case near 3% real, a central case near 5% real, and a favorable case near 7% real will tell you whether your plan survives disappointment. If the plan only works at 10% or more real, the problem is the plan, not the market.

Related guides

• What Real Return Should You Assume for Stocks? is the companion piece on why the honest planning number is about 5% real, and the difference between average and compound returns.
• The 8% Withdrawal Rule applies the same “that return assumption cannot hold” logic to a widely repeated retirement-spending claim.
• Most Stocks Lose to T-Bills explains the skew that lets a few winners create the illusion that stock picking is easy.
• Stocks Usually Win. “Usually” Is Not a Financial Plan. covers why a good base rate still leaves real risk over your particular horizon.
• How Financial Sales Pitches Hide the Real Cost of Investing is the hub on the marketing tactics behind too-good return claims.
• Growth Stocks Do Not Mean Higher Expected Returns shows how a great company at the wrong price still delivers an ordinary return.
• Personal Leverage covers margin, leveraged ETFs, and forced selling, and why leverage magnifies rather than manufactures returns.
• Covered Calls Are Not Free Income applies the “options rearrange risk” logic to the most popular income-illusion strategy.
• Is Factor Investing Dead? covers what evidence-based tilts can and cannot be expected to deliver.
• Sequence of Returns Risk explains why the order of returns, not just the average, decides retirement outcomes.

Author disclosure

This guide is descriptive and educational. Nothing here is a recommendation to buy, sell, or hold any specific security or strategy, and no specific creator or course is being accused of fraud. The point is the burden of proof: extraordinary return claims require extraordinary, verifiable evidence.

Sources

1. UBS and London Business School (Dimson, Marsh, Staunton). Global Investment Returns Yearbook 2026. U.S. equities 1900-2025 returned about 9.8% nominal and 6.6% real per year; world equities about 5% real. Historical realizations, not guarantees.
2. Berkshire Hathaway. 2025 Shareholder Letter and performance table. Compounded annual gain 19.7% (Berkshire) vs 10.5% (S&P 500 with dividends), 1965-2025; per-share market value −31.8% in 2008 and −23.1% in 1990.
3. Frazzini, A., Kabiller, D., & Pedersen, L. H. (2018). “Buffett’s Alpha”. Financial Analysts Journal. Estimated Sharpe ratio about 0.76 and average leverage about 1.6 to 1.
4. Sharpe, W. F. (1991). “The Arithmetic of Active Management”. Financial Analysts Journal 47(1). Before costs the average active dollar earns the market return; after costs it must trail passive.
5. Fama, E. F., & French, K. R. (2010). “Luck versus Skill in the Cross-Section of Mutual Fund Returns”. Journal of Finance 65(5). Evidence of skill only in the extreme tail; few funds cover their costs.
6. S&P Dow Jones Indices. SPIVA U.S. Scorecard, Year-End 2025. About 93% of U.S. large-cap funds underperformed the S&P 500 over the trailing 20 years; results net of fees and adjusted for closed funds.
7. Barber, B. M., & Odean, T. (2000). “Trading Is Hazardous to Your Wealth”. Journal of Finance 55(2). 66,465 households; most active traders earned 11.4% vs 17.9% for the market.
8. Chague, F., De-Losso, R., & Giovannetti, B. (2019). “Day Trading for a Living?” Of those day trading Brazilian index futures more than 300 days, 97% lost money and 1.1% earned more than the minimum wage.
9. Bessembinder, H. (2018). “Do Stocks Outperform Treasury Bills?” Journal of Financial Economics 129(3). About 43% of stocks beat one-month T-bills over their lifetimes; the top 4% of firms created all net wealth since 1926.
10. Bailey, D. H., Borwein, J., López de Prado, M., & Zhu, Q. J. (2014). “The Probability of Backtest Overfitting”. Why testing many strategy variations makes a spectacular backtest easy to find by chance.
11. U.S. Securities and Exchange Commission / Investor.gov. “Updated Investor Bulletin: Leveraged and Inverse ETFs”. Most reset to a multiple of the benchmark’s daily return; longer-term results can differ substantially, especially in volatile markets.
12. de Silva, T., Smith, K., & So, E. C. (2026). “Losing is Optional: Retail Option Trading and Expected Announcement Volatility”. Review of Finance. Estimated retail option losses of 5-9%, rising to 10-14% for high-expected-volatility announcements.
13. Moskowitz, T. J., & Vissing-Jørgensen, A. (2002). “The Returns to Entrepreneurial Investment: A Private Equity Premium Puzzle?” American Economic Review 92(4). Private equity returns, in aggregate, are no higher than public equity despite extreme concentration.
14. Jordà, Ò., Knoll, K., Kuvshinov, D., Schularick, M., & Taylor, A. M. (2019). “The Rate of Return on Everything, 1870-2015”. Quarterly Journal of Economics 134(3). Long-run aggregate housing returns have been competitive with equities across many countries.
15. Alpha Architect. “Mission Impossible: Beating the Market Over Long Periods of Time”. The scalability argument: a sufficiently high sustained return eventually implies owning an implausible share of the market.