Why I Trade Indexes and Index ETFs Instead of Individual Stocks

By Charlie Nguyen · Published Oct 31, 2026 · Data through Oct 29, 2026 · 13 min read

On Oct 29, 2026, Alphabet fell 12.6% after earnings, its worst day as a public company. The S&P 500 fell 0.3%. Same market, same day. That gap is why I sell options on indexes and index ETFs (SPX, SPY, QQQ and IBIT) and almost never on individual stocks.

I’ve traded options since 2010 and I come from advantage play, where you only bet when the math is on your side and you size every bet so you can’t go broke. Applied to options, that means picking the underlyings with the most predictable risk, the deepest liquidity and the best rules. Here’s the data behind that choice, with every number sourced.

One headline can gap a stock, not an index

When I sell a put credit spread, I’m betting price stays above my short strike. The thing that breaks that bet isn’t a slow grind; it’s a gap: price opens far past my strike and I never get a chance to adjust. Single stocks gap on earnings, guidance, lawsuits, FDA rulings, CEO news and downgrades. An index of 100 or 500 companies averages most of that away. Company-specific risk is the risk diversification removes; market risk is the one that’s left, and that’s the one option sellers are paid to carry.

The data: nine mega-cap stocks vs SPY and QQQ

I pulled daily prices from Cboe for SPY, QQQ and nine of the biggest US stocks from Jan 4, 2016 to Oct 29, 2026 (2,724 trading days) and counted how often each one moved a lot in a single day. These are the giants, not small caps: if anything, they’re the calmest single stocks you can trade.

• Big days: the nine stocks moved more than 5% in a day on 4.4% of sessions on average, about 8× as often as SPY (0.6%). Tesla did it on 12.7% of days and Nvidia on 8.9%.
• Overnight gaps: the stocks opened more than 5% away from the prior close on 1.5% of days on average, vs 0.2% for SPY. Those are moves you can’t manage, because they happen while the market is closed.
• Worst days: every one of the nine had a worst day of −10% or more. The worst was Meta, -26.4% on Feb 3, 2022. SPY’s worst day, in the March 2020 crash, was -10.9%.
• Drawdowns: the average stock’s deepest fall from a high was -54%, against -34% for SPY and -36% for QQQ.

QQQ sits in between: it’s 100 stocks, but tech-heavy, so it moves more than SPY (4.4% of days past 3% vs 1.9%). I trade it in smaller size for that reason.

Earnings: the gap you can’t trade around

Several of those worst days were earnings reactions: Meta on Feb 3, 2022 (-26.4%), Nvidia on Nov 16, 2018 (-18.8%), Amazon on Apr 29, 2022 (-14.1%) and Alphabet this week (-12.6%). The options market knows earnings are coming and prices a bigger move, but the actual gap can still blow straight through a short strike before you can do anything.

A stock has four earnings reports a year, plus any surprise in between. An index has hundreds of reports spread across the season, each one a small slice of the whole. For an option seller who wants many small, steady wins, that difference matters more than anything else. It’s also why I treat FOMC days as the index’s version of an earnings day; here’s how I trade SPX on FOMC days.

Most stocks don’t even beat Treasury bills

The biggest reason to own the index instead of guessing at stocks comes from one of the most cited finance papers of the last decade. In “Do Stocks Outperform Treasury Bills?” (Journal of Financial Economics, 2018), Hendrik Bessembinder studied every US common stock in the CRSP database from 1926 to 2016:

• Only 42.6% of stocks had lifetime buy-and-hold returns better than one-month Treasury bills. The majority did worse than cash.
• More than half had negative lifetime returns, and the single most common outcome was a loss of essentially 100%.
• The best-performing 4% of companies accounted for all of the US stock market’s net wealth creation; the rest, together, matched T-bills.

His global follow-up for 1991 to 2020 found the same pattern: 55.2% of US stocks lagged one-month T-bills, and the top 2.4% of firms produced all of the net wealth creation. An index owns the winners automatically. A stock picker has to find them in advance.

Volatility drag: why wild prices compound worse

Volatility costs you even when the average return is the same. Lose 50% and you need +100% to get back to even. A rough rule is that compound growth trails the average return by about half the variance (σ² ÷ 2) each year. Using each ticker’s actual volatility from the table above:

That’s an approximation, not a forecast, but the direction is the point: higher volatility makes the same average return compound into less, and it makes the losing streaks longer. A diversified index carries the least drag of anything I trade.

Liquidity and fills: the house edge I don’t give away

In a casino, the house edge is the cost of playing. In options, it’s the bid-ask spread. Every time I open and close a trade I pay part of it, and on a strategy that collects small credits, that cost can eat the whole edge. SPX, SPY and QQQ options are among the most actively traded contracts in the world, with strikes every few points, expirations every trading day and deep open interest, so my orders fill at or near the mid. I go through the bid-ask spread data on SPX, SPY, QQQ and IBIT in a separate article. Most single-stock chains are thinner, with wider markets away from the money and fewer expirations, so I start every trade further behind.

SPX: cash settlement, no early assignment and 60/40 taxes

For my core put credit spreads I use SPX itself. Three rules make it different from SPY, QQQ and every stock:

• European-style. SPX options can only be exercised at expiration (Cboe contract specs), so there’s no early assignment. SPY, QQQ and IBIT options are American-style and can be assigned any day.
• Cash-settled. At expiration SPX settles in cash; no shares land in the account, so a short leg can’t turn into a large stock position overnight.
• Section 1256 tax treatment. Under 26 U.S.C. § 1256, broad-based index options count as “nonequity options”: gains and losses are 60% long-term and 40% short-term no matter how long you held them, and open positions are marked to market at year end (reported on IRS Form 6781). Options on ETFs such as SPY and QQQ generally don’t qualify, so a short-term win there is taxed as a short-term gain. This isn’t tax advice; ask a professional.

SPY, QQQ and IBIT still have a place: they’re smaller, and the share settlement is exactly what you want for covered calls and poor man’s covered calls.

Edge and expected value, the advantage player’s way

An advantage player doesn’t ask “will I win this hand?” The question is “does this bet have a positive expected value, and can I survive the variance long enough to collect it?” Option selling works the same way. The edge is that implied volatility tends to run above the volatility that follows; for SPX, the VIX was above the next month’s realized volatility on most days since 1990 (the numbers are in my expected move article).

That edge is small, and it only pays over many trades. Single stocks make it harder to collect in three ways: the tails are fatter (one gap can wipe out a year of credits), the spreads cost more, and the outcomes are lumpier. With an index I get more trades, smaller and more predictable swings, and cheaper execution. Same edge, lower variance, and that’s how you actually get paid.

Never blowing up

The first rule of any edge is staying in the game. My rules, in order:

1. Diversify the underlying. An index first, so no single company can take out the account.
2. Defined risk only. Spreads with a long leg, never naked short options.
3. Size by the max loss. Each trade’s maximum loss is a small slice of the account, so a string of losers is a bad month, not the end.
4. Count correlated trades as one. SPX, SPY and QQQ put spreads are mostly the same bet on the market.
5. Respect events. No new risk into FOMC or other scheduled shocks, and check the expected move before every trade.
6. Keep cash on the side. Dry powder lets me buy big dips instead of being forced to sell (see buying the dip at all-time highs).

The tools I use for SPX, SPY, QQQ and IBIT

• Open Lines: the expected move for SPY, QQQ and SPX at 0, 1, 7 and 45 DTE, with POP, POT and P50 on every short strike.
• Covered Call & PMCC Tracker: suggested short calls on SPY, QQQ, IBIT and SPX with POP, POT, P50 and IV rank, and a ledger saved in your browser.
• Slingshot Trade: a defined-risk options trade that uses long-dated puts to fund upside calls (and the article behind it).
• SPX Desk: the daily read for SPX put credit spreads at 1, 7 and 45 DTE.
• POP vs POT vs P50: what each probability means and why I read all three.

Sources and method. Daily moves: Cboe delayed-quotes daily history (cdn.cboe.com/api/global/delayed_quotes/charts/historical/), split-adjusted open and close, price returns without dividends, Jan 4, 2016 to Oct 29, 2026, fetched Oct 31, 2026. “Days moving >X%” = |close ÷ prior close − 1| > X; “opening gaps” = |open ÷ prior close − 1| > 5%; max drawdown is close-to-close from a running high; annual vol is the standard deviation of daily log returns × √252. Stocks: AAPL, MSFT, NVDA, AMZN, GOOGL, META, TSLA, AVGO and JPM (Netflix was left out because its Cboe history is not split-adjusted). Alphabet’s Oct 29, 2026 drop: Cboe history and CNBC. Research: Bessembinder, H. (2018). Do stocks outperform Treasury bills? Journal of Financial Economics 129(3), 440-457, doi:10.1016/j.jfineco.2018.06.004; global update via ASU W. P. Carey. Rules: 26 U.S.C. § 1256, IRS Form 6781, Cboe SPX specifications. IV Rank from Cboe VIX and VXN daily closes.

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