The Rule Everyone Retweets
It reappears on schedule, every time the tape gets ugly: hold cash, wait for the Nasdaq or your favorite tech names to drop about 10%, back up the truck, and repeat once a year — that is how you become a multi-millionaire. It is appealing because it sounds disciplined, it sounds contrarian, and it comes wrapped in the survivor's confidence of someone who owned the names that went up. It is worth taking seriously enough to test — which is different from taking it on faith.
Three claims are buried in it, and each one is checkable. That a 10% dip “happens about once a year.” That buying it works. And that doing so, year after year, is the path to wealth. We ran all three against QQQ from its 1999 inception through today.
Claim One and Two: Roughly True, and Real — For a Quarter
The frequency claim holds up as an average: there were 24 to 25 distinct 10%-from-high selloffs in 27 years, about 0.9 per year. But “once a year” hides the clustering — four in 2000, three in 2018 and again in 2020, and long calm stretches with none. Dips do not arrive on a schedule; they arrive in crises, several at a time.
The second claim — that buying the dip works — is genuinely true on a short horizon, and this is the part the rule gets right. Buying a 10% drop and measuring the bounce, QQQ beat the average day handily at three and six months. Buying fear pays, because a 10% flush is usually an emotional overshoot that mean-reverts. But push the horizon out to a year and the edge quietly evaporates.
And the tail is the part the rule never mentions. A 10% drop is not a floor. After buying one, the average further drawdown within the year was another 13%, and the worst cases ran to roughly minus 64% — because in 2000 and 2022 the 10% dip was the first bite of a bear market, not the bottom of one. A rule with no exit buys every one of those.
Claim Three: The Part That Loses to Doing Nothing
Here is the test that matters, and the one the slogan skips. Take two investors with identical cash flows — $1,000 a month of new savings, from 1999 to today. One dollar-cost-averages: buys a fixed amount on a fixed schedule, every time, regardless of the tape. The other runs the rule: holds the cash, and deploys it only when QQQ is 10% off its high. Same money in, same index, 27 years.
The dollar-cost-averager finished with about $3.98 million. The dip-buyer, with the same $330,000 of contributions, finished with $1.97 million — a hair under half. Adding a 200-day trend filter to the dip rule (buy the dip only in an uptrend) did not rescue it; it finished at $1.86 million. The dip strategies were not stupid — they had shallower drawdowns, roughly minus 34% against the DCA's minus 51%, because sitting in cash is comfortable when the market falls. But comfort was expensive. Waiting for a 10% discount meant sitting out of a market that spends most of its life quietly rising, and the compounding you forfeit in the calm years dwarfs the discount you capture in the loud ones.
And the day you pick barely matters. A fixed weekly buy every Friday finished within a rounding error of the monthly version — 12.1 times contributions either way. Friday morning, near the open, is a fine ritual: it is payday-adjacent, it closes the week, and it takes the decision out of your hands. But the edge is not in the calendar slot. The edge is in the standing order — the part that fires whether or not you feel like buying.
The Trap Hiding in “Your Favorite Stocks”
There is one more sleight of hand, and it is the dangerous one. Every number above is on QQQ — an index. An index is self-cleaning: it quietly drops the losers and lets the winners compound, so it always recovers, because “it” is never the same basket twice. The rule as stated does not say buy the index. It says buy your favorite speculative stocks — and it lists a microcap lottery ticket in the same breath as a few quality semiconductors.
A single speculative name has no self-cleaning mechanism. It can fall 10%, then 90%, then delist — and when it does, it leaves the dataset entirely. That is why the winners feel so obvious in hindsight: the names that came back are the ones still on the screen. The ones that went to zero are not in anyone's backtest, or anyone's memory. That is survivorship bias, and it is precisely what makes “buy the dip on your favorites” feel like a law when it is really a highlight reel. Applied to an index, the dip rule merely underperforms. Applied to concentrated speculative names with no exit, it is a path to permanent loss.
What This Is — And What It Is Not
This is a defense of the least exciting plan available: pick a broad index, buy a fixed amount on a standing schedule — a weekly Friday order works perfectly well — and let time and compounding do the work. Over 27 years it roughly doubled the wealth of the “wait for the dip” crowd.
This is not a claim that buying dips is worthless. The three-to-six-month bounce is real. If you want to use it, the coherent version is to keep dollar-cost-averaging and add on a 10% dip when price is above the 200-day — a dip in an uptrend, not a falling knife. Just know you are buying lower drawdown, not higher returns.
This is not a license to run the rule on single speculative stocks. The index recovers because it is not one company. A lottery ticket that falls 10% on its way to zero is not a discount; it is a warning.
Methodology: QQQ, 1999–2026, daily total-return bars via a public data feed. A “dip” is defined as a 10% decline from the prior all-time high, re-armed after a recovery to within 5% of that high; this definition structurally skips 2001–2015 (QQQ sat below its 2000 peak for roughly 15 years) including 2008, which would make the tail worse, not better. Contributions modeled at a fixed monthly (or weekly) amount; idle cash earns 0%; no transaction costs, taxes, or slippage. All figures are hypothetical, backtested results and are shown for illustration only. Past performance is not indicative of future results. This is not investment advice.
Leave a comment - join the conversation
Do you run a standing order, or do you wait for the dip? Tell us how you'd stress-test this — different index, different contribution size, a real cost-of-cash assumption.
Comment on LinkedIn