A 1,000% Upside and a 100% Downside Does Not Make It a Good Bet

A post went around this month with a question that sounds like it answers itself:

“Only in options you can win 1000% upside but lose only 100%. Is that good risk to reward?”

@IndexAndForget, July 2026

The answer is no, and the reason is worth more than the verdict. A maximum gain and a maximum loss describe the shape of a payoff. They say nothing about whether the payoff is worth its price. By the same logic a lottery ticket has extraordinary risk and reward: you can lose only 100% of the ticket price and win millions of percent. Nobody thinks lottery tickets are a good investment, because everyone intuitively supplies the missing variable, which is how often you win.

Options deserve better than either the hype or a blanket dismissal. This guide works through the algebra of what the claim actually implies, what a real option contract has to do for you to make money, what the peer-reviewed evidence on retail options traders finds (including the recent work that pushes back on the gloomiest version of that story), and where options genuinely earn their place in a portfolio.

Start with the arithmetic the claim leaves out

Take the claim at face value. An investment either returns 1,000%, turning $100 into $1,100, or loses everything. Write $p$ for the probability of winning. Expected return is

Set that to zero and the break-even probability is $p^{*} = \tfrac{1}{11} \approx 9.09\%$. Win more often than roughly one time in eleven and the bet makes money on average. Win less often and it loses, no matter how attractive the ratio looks.

Here is the same “risk/reward” at different win rates. Every row has identical maximum gain and maximum loss.

Two things stand out. The payoff ratio is constant down the whole table while the investment ranges from catastrophic to excellent, which is exactly why the ratio alone tells you nothing. And the median outcome is a total loss in every row, including the good ones. Averages in this world are carried by rare wins, so the typical experience of the typical trade is losing everything even when the strategy has positive expected value.

Costs raise the bar. Retail traders in the most heavily used option contracts face average quoted bid-ask spreads of 12.6%.¹ Paying that on the way in lifts the break-even win rate from 9.09% to about 10.24%. It sounds small. It is a 13% increase in how often you have to be right.

Even a good version of this bet can ruin you

Grant the optimist everything. Suppose the bet really does win 10% of the time, so its expected return is a healthy +10% per trade. Now ask how much of your portfolio to put behind it.

This is where the payoff-ratio framing does its real damage. Expected return is an average across parallel universes; your wealth compounds along one path. The quantity that governs long-run growth is the expected logarithm of wealth, and for this bet it turns negative once the stake exceeds about 2.06% of the portfolio. The growth-maximizing stake, the Kelly fraction, is just 1.00%.

Read that table next to the enthusiasm the original claim generates. Somebody persuaded that 1,000%-versus-100% is great risk and reward does not put 1% of their portfolio behind it. The framing invites a big position, and a big position in this bet loses money over time even though each individual trade has positive expected value. Run five of these trades at a 10% win rate and there is a 99.999% chance at least one of them is a total loss, which is survivable at 1% of your money and fatal at 25%.

Our position sizing guide has a calculator that computes break-even win rates and Kelly stakes for any payoff you want to test.

The word “only” is doing false work

Buy a stock without borrowing and the most you can lose is what you paid. Buy at $10, watch it reach $110, and you have made 1,000% with no option involved. Limited liability is a feature of owning shares, not a special property of options. The SEC makes the same point from the other direction when it warns that option writers can face unlimited losses while holders risk the premium.²

A stock reaching 1,000% is not even exotic. It requires compounding at 8.3% a year for 30 years, 12.7% for 20 years, or 27% for a decade. The stock and the option share a payoff shape and differ everywhere that matters: the probability attached to each branch of it, and the deadline for getting there.

“Options” do not share one payoff

The claim describes exactly one position, a purchased option, and then generalizes to an entire asset class. FINRA states the buyer’s side plainly: “For the purchaser of an option, the premium paid is your maximum loss.” It states the seller’s side just as plainly: “For the seller of an option, the premium you receive at the time of the sale is your maximum profit,” and for a naked call “the maximum loss is theoretically unlimited.”³

Most option positions look nothing like the one in the tweet. Half of them cap your upside, and one of them can lose more than you invested. The OCC notes that an uncovered writer “may have a significantly greater risk than a short seller of the underlying interest.”⁴

Why a cheap option shows a huge percentage return

Large percentage payoffs appear because the denominator is small. An option that costs $0.10 and finishes worth $1.10 returned 1,000%, and it cost a dime precisely because the market judged that outcome unlikely.

Put numbers on it. Take a $100 stock with 30% implied volatility and a call struck at $110 expiring in 30 days. Black-Scholes prices that contract at about $0.66. For it to return 1,000% the stock has to reach roughly $117.21, a 17.2% move in a month, which the market prices at about a 3.2% chance. Simply breaking even requires the stock to rise more than 10.7%. The option expires worthless in about 87% of scenarios.

Now make it cheaper by moving the strike to $120. The premium falls to about $0.06, and the move needed for 1,000% drops to 20.7%, so the headline ratio gets easier to hit. The catch is that this contract now expires worthless roughly 98% of the time. Buying a lottery ticket with better odds of a big multiple, by making the ticket cheaper, does not improve the bet. It simply moves probability out of the win column. Those percentages are risk-neutral, which means they are the odds embedded in the price rather than a forecast, and they are what you are paying for.

Being right about direction is not enough

A share of stock has no deadline. An option does, and the clearest statement of what that costs you comes from the options industry’s own disclosure document. An option is described there as a “wasting asset which becomes worthless when it expires,” and then:

“an option holder must not only be right about the direction of an anticipated price change in the underlying interest, but he must also be right about when the price change will occur. ... This contrasts with an investor who purchases the underlying interest directly and may continue to hold his investment, notwithstanding its failure to change in price as anticipated, in the hope of waiting out an adverse price move and eventually realizing a profit.”

The Options Clearing Corporation, Characteristics and Risks of Standardized Options⁴

That is the difference the payoff ratio hides. A stock investor can be early and still be right. An option buyer has to be right about direction, magnitude, and timing at once, and gets paid only when all three land inside the contract’s life.

Volatility adds a fourth way to be right and lose. Option prices embed an expectation of how much the stock will move, so a stock can rise exactly as you predicted while the option falls, because the move was smaller than the price implied or because implied volatility declined after an event resolved. This is the familiar disappointment of buying calls into an earnings announcement and watching them lose value on good news: the anticipated volatility was already in the premium you paid.

What the costs actually are

Zero commission is not zero cost, and in options the gap is wide. Bryzgalova, Pavlova and Sikorskaya, studying US retail option trades from November 2019 to June 2021, found that retail traders concentrate in cheap, short-dated contracts: half of their trades were in options with less than a week to expiry, carrying an average quoted bid-ask spread of 12.6%, with embedded leverage in weekly contracts “often exceeding 50.” Assuming a ten-day holding period they estimate aggregate retail losses of $2.1 billion over that window, against roughly $6.4 billion in trading costs measured from the midquote and about $900 million in direct commissions.¹

The relationship between those numbers matters. Trading costs exceeded the losses, which means the activity was roughly a wash before costs and negative after them. Payment for order flow tells the same story: US brokerages collected about $2.4 billion from options order flow in 2021 against $1.3 billion from equities, with the top three wholesalers taking close to 90% of it.¹ Ernst and Spatt find that this routing economics coincides with less price improvement and worse prices for retail option orders than for stock orders.⁵

One practical correction to a common belief: commission-free options are broker-specific. Robinhood and Webull charge nothing, while Schwab, Fidelity and E*TRADE typically still charge around $0.65 per contract even where stock trades are free. Either way the spread dominates the commission.

What the retail evidence finds, and where it disagrees

The honest summary is more interesting than either side of the argument usually admits, because two careful studies of the same activity reach different-sounding conclusions.

On one side, the aggregate evidence is unflattering. Beyond the Bryzgalova findings above, de Silva, So and Smith examined retail option buying around earnings announcements and found losses of “5–9 percent on average, and 10–14 percent for high expected volatility announcements,” driven by overpaying relative to the volatility that actually materialized, large spreads, and leaving positions open for weeks after the event.⁶ Hu and coauthors, studying a leading derivatives market, report that about 66% of active retail investors hold simple one-sided positions and that those investors “lose to the rest of the market,” while selling volatility was the most successful strategy for retail and institutions alike.⁷

On the other side, Bogousslavsky and Muravyev built a trader-level dataset of about $15 billion of retail stock and option trades from 2020 to 2022 and found the average option trade lost 0.9%, which they describe as “comparable to typical option trading commissions.” Their explanation is instructive: observed losses are “much smaller than typical option bid-ask spreads, which range from 5% to 10% or more. Possibly, retail traders use limit orders to avoid paying the spread.” They also find the realized profit distribution is “almost symmetric” rather than lottery-like, with the 10th and 90th percentiles of option purchases at −$296 and +$217, and they document a mundane motive for much option use: the median stock trade in their data has an underlying price of $8, while the median option trade’s underlying is $262, suggesting options often buy exposure to expensive stocks rather than lottery payoffs.⁸

The two results are less contradictory than they appear. The pessimistic studies use aggregate retail proxies with imposed holding periods and flow that predominantly crosses the spread; the optimistic one observes actual traders who often work limit orders. Measurement drives much of the gap, and the authors of the trader-level study say so directly.

Where they agree is where confidence belongs. Option purchases lose money on average in both, at −3.95% per trade in the trader-level data. Zero-day-to-expiry trades do worse still, at − 4.7% relative to other option trades. And option sellers do better than buyers in every dataset here, which is the opposite of what the viral framing recommends. None of this establishes that every option buyer loses, and the article you are reading would be wrong to claim it. It establishes that the specific behavior being celebrated, buying cheap short-dated upside, is the part of the activity with the worst record.

You are paying for the excitement

There is a reason lottery-like payoffs tend to be expensive: people want them. Boyer and Vorkink found a negative relationship between an option’s ex-ante skewness and its subsequent return, consistent with investors bidding up the most lottery-like contracts.⁹ Byun and Kim put a number on it: “Call options written on the most lottery-like stocks underperform otherwise similar call options written on the least lottery-like stocks by 10–20% per month.”¹⁰ That is a spread between two groups of calls rather than an absolute monthly loss, and monthly option returns are enormously volatile, but the direction is clear and it matches the same pattern in stocks, where shares with the most extreme recent daily gains go on to earn lower returns.¹¹

The practical implication runs against intuition. The contracts that look most exciting on a payoff diagram are the ones where demand for excitement has most likely raised the price. We cover how to budget for that impulse without letting it near your plan in compensated versus uncompensated risk.

When options genuinely earn their place

Options exist to transfer risk, and that function is real. A protective put can have a negative expected return and still be a sound purchase for the same reason homeowners insurance does: you are buying protection against an outcome you cannot absorb, not an investment return. Judged that way, the following uses are defensible:

• Bounding a concentrated position. A collar or protective put can cap the damage from a single stock while you work through vesting schedules, lockups, or the tax cost of selling.
• Protecting a known near-term liability. If a market decline would threaten spending you cannot postpone, paying for protection is a considered choice. Compare it against the simpler option of holding less equity.
• A deliberately capped equity payoff. Some investors knowingly prefer less participation in strong markets in exchange for premium income or a buffer, and structure their equity that way.
• A speculation budget you can afford to lose entirely. If trading options keeps you engaged with your finances, size it so a complete loss changes nothing about your plan.

A useful discipline before any of these: explain why the simpler alternative fails. Changing your stock and bond mix, selling shares, placing a limit order, or holding cash solves most problems people reach for options to solve, with less cost and no expiry date.

Derivatives inside a fund are three different things

“Options are bad, use ETFs instead” collapses three genuinely different uses of derivatives into one recommendation. They deserve separate verdicts.

Derivatives as financing. Return-stacking funds use futures margin so that a dollar buys equity exposure plus a diversifying return stream on top. The derivative is a capital-efficiency tool, and the question to ask is whether the stacked strategy diversifies your equity risk and clears its own hurdle rate, which we work through in the return stacking guide. This is a categorically different activity from buying a weekly call.

Derivatives as sold upside. Covered-call funds convert part of your right tail into current income. CFA Institute puts the mechanism precisely: “A covered call position has a limited maximum return because of the transfer of the right tail of the return distribution to the option buyer.”¹² These funds are operationally simple and economically short volatility, and a high distribution rate is not a high total return. See covered calls are not free income.

Derivatives as speculation. The long call in the tweet. This is the use with the weakest evidence behind it.

A fund wrapper removes real hazards: assignment notices, expiry management, margin calls, and the chance of accidentally creating unlimited exposure. What it cannot do is change the economics of the payoff being bought or sold. Judge a stacked fund on whether its added stream diversifies, a covered-call fund on total return rather than yield, and a speculative trade on expected value and position size.

A checklist before you buy an option

• What win rate does this need to break even, and why do I believe I clear it?
• How far does the underlying have to move, by when?
• What is the spread as a percentage of the premium?
• Is the volatility I am buying already elevated because of a known event?
• What happens to my plan if this goes to zero, and would I notice?
• What simpler instrument did I rule out, and why?
• How will I judge afterward whether this worked, against what benchmark?

Check any contract yourself

The calculator below prices a call with Black-Scholes and reports the things a payoff ratio hides: what the stock must do to break even, what it must do to hand you the advertised 1,000%, and how often the contract expires worthless. The second tab puts the same premium into the stock, an index fund, or your savings rate so the opportunity cost is visible.

What we recommend

For most DIY investors building long-term wealth, the right allocation to speculative options is zero. Broad, low-cost equity and bond funds already deliver positive expected returns, unlimited holding periods, minimal costs, simple taxes, and no expiry date. Nothing about that portfolio is improved by adding contracts that require you to be right about direction, size, and timing at once while paying a double-digit spread for the privilege.

If you want exposure to options anyway, the defensible version is small and deliberate. Cap the speculative sleeve at a level where a total loss would not alter any goal that matters, which for most households means low single digits as a percentage of investable assets. Write down what you expect and why before buying. Measure results after costs and taxes against simply having held the underlying. And treat the sizing lesson above as the binding one, because the arithmetic that ruins people is rarely the payoff ratio; it is how much they put behind it.

The question that opened this guide has a better version. Instead of asking whether 1,000% against 100% is good risk and reward, ask what has to be true for this contract to pay, how likely that is, what it costs to find out, and what it does to your plan if it does not happen. Those four answers decide the trade. The payoff ratio decides nothing.

How Summitward helps

Summitward is built around the question a payoff diagram cannot answer, which is what a position does to your household rather than to your brokerage screen. The portfolio dashboard reports concentration and effective position counts, so a speculative sleeve that has quietly grown into a real allocation becomes visible. The projections and retirement tools let you test what a complete loss of that sleeve does to your financial independence date, which converts an abstract “I can only lose the premium” into months of delay. And factor analysis on the portfolio page shows whether any apparent skill came from security selection or from exposures available far more cheaply.

Frequently asked questions

Is buying a call ever better than buying the stock?

Sometimes, for specific reasons. A call caps the dollars at risk, which can matter when the underlying is expensive relative to your account, and the trader-level evidence suggests affordability is a common real motive. A long-dated call can also stand in for shares while you wait for cash to arrive. What the call cannot do is give you the stock’s patience. You are paying for leverage and a deadline, and both have prices attached.

What about selling options for income instead?

Sellers have done better than buyers in every dataset cited here, which is worth knowing, though it is not a recommendation. Selling volatility collects small premiums frequently and occasionally pays out badly, so a high win rate can coexist with poor results. A naked call carries theoretically unlimited loss. Our guides on cash-secured puts and covered calls work through what you are actually being paid to accept.

Do most options expire worthless?

The widely repeated claim that 90% of options expire worthless is wrong, mostly because it confuses positions with outcomes. Many positions are closed in offsetting trades before expiry rather than held to the end, so the fraction of contracts that expire worthless is much lower than the fraction of trades that lose money. For an individual contract, the odds depend entirely on how far out of the money it is and how long it has, which is what the calculator above computes.

Are index options taxed differently?

Yes, and the distinction surprises people. Broad-based index options such as SPX are Section 1256 contracts, taxed 60% long-term and 40% short-term regardless of holding period. Options on ETFs such as SPY are equity options and do not qualify, so they follow ordinary short-term and long-term rules based on how long you held them.¹³ This is worth checking before assuming a tax outcome.

Key takeaways

• A 1,000% versus 100% payoff needs a 9.09% win rate to break even before costs, and about 10.24% after a typical 12.6% spread.
• The same payoff ratio can describe an excellent bet or a catastrophic one; only the probability tells you which.
• Even a positive-expected-value version of this bet destroys wealth if sized above roughly 2% of a portfolio, with 1% being growth-optimal.
• Limited downside with open-ended upside describes any unlevered stock; +1,000% is 8.3% a year for 30 years.
• A 30-day call 10% out of the money expires worthless about 87% of the time and needs a 17% move to return 1,000%.
• Retail option buyers lose on average across studies, sellers do better, and 0DTE trades do worst; the strongest counterevidence says the losses are smaller than spreads imply because traders use limit orders.
• Options belong where they solve a defined problem, and a speculative sleeve should be small enough that losing all of it changes nothing.

Related guides

• Position Sizing: The Skill That Matters More Than Picking Winners computes break-even win rates and Kelly stakes for any payoff.
• Compensated vs. Uncompensated Risk sets the speculation budget and shows what a total loss does to your FI date.
• Cash-Secured Puts is the mirror image of this guide, on the selling side.
• Covered Calls Are Not Free Income on what capped upside costs, and why a distribution rate is not a return.
• Personal Leverage on margin, leveraged funds, and the forced-selling risk options share.
• Most Stocks Lose to T-Bills on why skewed payoffs make the typical outcome so different from the average.

Sources

1. Bryzgalova, S., Pavlova, A., & Sikorskaya, T. (2023). Retail Trading in Options and the Rise of the Big Three Wholesalers. The Journal of Finance 78(6), 3465–3514.
2. US Securities and Exchange Commission, Office of Investor Education and Advocacy (2021). Investor Bulletin: Leveraged Investing Strategies.
3. FINRA. Options, investor education.
4. The Options Clearing Corporation (2024). Characteristics and Risks of Standardized Options, Chapter X.
5. Ernst, T., & Spatt, C. S. (2022). Payment for Order Flow and Asset Choice, NBER Working Paper 29883.
6. de Silva, T., So, E. C., & Smith, K. (2026). Losing is optional: retail option trading and expected announcement volatility. Review of Finance 30(2), 489–535.
7. Hu, J., Kirilova, A., Park, S., & Ryu, D. (2024). Who Profits from Trading Options? Management Science 70(7), 4742–4761.
8. Bogousslavsky, V., & Muravyev, D. (2024). An Anatomy of Retail Option Trading, SSRN working paper 4682388.
9. Boyer, B. H., & Vorkink, K. (2014). Stock Options as Lotteries. The Journal of Finance 69(4), 1485–1527.
10. Byun, S.-J., & Kim, D.-H. (2016). Gambling preference and individual equity option returns. Journal of Financial Economics 122(1), 155–174.
11. Bali, T. G., Cakici, N., & Whitelaw, R. F. (2011). Maxing out: Stocks as lotteries and the cross-section of expected returns. Journal of Financial Economics 99(2), 427–446.
12. CFA Institute. Options Strategies, CFA Program curriculum refresher reading.
13. 26 U.S.C. § 1256. Section 1256 contracts marked to market; see also IRS Publication 550 and Form 6781.

Editor’s note

Educational content, not investment advice, and nothing here is a recommendation to buy or sell any contract. Option pricing figures use Black-Scholes with constant volatility, no dividends, and European exercise, which approximates rather than exactly describes American equity options; probabilities derived from it are risk-neutral and represent market pricing rather than forecasts. Expected-value and Kelly figures assume the stated two-outcome payoff and ignore taxes. Cited studies cover specific markets and periods and their findings do not generalize to every trader or strategy, which is why the disagreement between them is reported rather than resolved. Facts verified against the cited journals, working papers, regulator publications, and the US Code as of July 2026.