"Buy the dip" is the most repeated advice on investing social media. It feels obviously smart — you remember every dip that bounced. So we stopped feeling and started measuring. Here's the exact, mechanical rule we tested:
Every time the stock closes down 2% or more versus the day before, buy at that close. Sell exactly 10 trading days later. Repeat. When not in a trade, sit in cash.
We ran it on nine names — Apple, Microsoft, Amazon, Tesla, Nvidia, Alphabet (Google) and Meta — plus the S&P 500 (SPY) and the Nasdaq-100 (QQQ), over the last year and the last three years, and compared every result against the strategy that requires zero effort: buy once and hold (buy-and-hold).
Every number below is reproducible in about 30 seconds in our free backtester.
The headline: it never beat the market
Start with the honest, uncomfortable part. Against the index itself — the thing most people should actually own — buying the dip lost in every single window:
| Index | Window | Dip rule | Buy & hold | Edge |
|---|---|---|---|---|
| S&P 500 (SPY) | 1 year | +6.8% | +20.2% | −13.4 |
| S&P 500 (SPY) | 3 years | +10.9% | +70.8% | −59.9 |
| Nasdaq-100 (QQQ) | 1 year | +22.8% | +26.3% | −3.5 |
| Nasdaq-100 (QQQ) | 3 years | +55.8% | +90.8% | −35.0 |
If you'd bought every 2% dip in the S&P 500 for the last three years, you'd have made +10.9%. If you'd done nothing but hold, +70.8%. Buying the dip cost you sixty percentage points.
"But it beat some individual stocks!" — sometimes, unpredictably
This is where cherry-picking creeps in. On individual stocks, the rule did win — sometimes big. Here's all nine names, no hiding the losers:
| Ticker | 1yr: Dip | 1yr: Hold | Edge | 3yr: Dip | 3yr: Hold | Edge |
|---|---|---|---|---|---|---|
| AAPL | +81.4% | +52.6% | +28.8 | +122% | +71.4% | +50.7 |
| MSFT | −7.4% | −22.1% | +14.7 | +34.6% | +15.8% | +18.8 |
| AMZN | +9.6% | +7.6% | +2.0 | +98.0% | +90.1% | +7.9 |
| TSLA | +25.0% | +12.6% | +12.4 | +21.8% | +39.0% | −17.2 |
| NVDA | +35.7% | +27.1% | +8.6 | +206% | +376% | −170 |
| GOOGL | +18.1% | +79.3% | −61.2 | +63.6% | +184% | −120 |
| META | +7.3% | −10.7% | +18.0 | +62.1% | +117% | −54.9 |
Data: live Yahoo Finance daily closes, run July 2026. Edge = strategy minus buy-and-hold.
Read that honestly:
- Over one year it beat holding on 6 of the 9 names (the 7 above, plus SPY and QQQ from the index table). Over three years, only 3 of 9 — and it got destroyed on the biggest winners (Nvidia by 170 points, Google by 120), because it kept stepping out of stocks that just went straight up.
- There is no reliable pattern to when it won. Apple: big win. Google, right next to it: big loss. If you'd picked your ticker in advance, you were basically flipping a coin — and the coin was weighted toward losing the longer you ran it.
Anyone who shows you "buy-the-dip made +81% on Apple!" is showing you the one ticker that survived. Ask them what happened on Google. Ask them what happened on the S&P 500.
Why a "smart" rule loses: it's in cash when it counts
Here's the mechanism, and it's the single most useful thing in this article. The dip rule only holds for 10 days after each signal, so most of the time it owns nothing:
| Time actually invested | |
|---|---|
| S&P 500 dip rule (1yr) | 12% |
| Nasdaq dip rule (1yr) | 32% |
| Apple dip rule (1yr) | 37% |
The market spends 88% of the year without you. And the market's gains are famously lumpy — miss a handful of the best days (which often come right after scary drops, before your rule has re-entered) and your return collapses. This is the same maths behind why time in the market beats timing the market: time out of the market is the tax you pay for feeling clever.
The one thing it genuinely did well: drawdown
To be fair to the strategy — because honesty cuts both ways — sitting in cash has a real benefit: you don't ride the crashes down. The dip rule's worst peak-to-trough drops were far gentler than holding:
- S&P 500 dip rule: worst drawdown just −2.5% over the past year, because it was barely invested.
- Apple dip rule: −4.5%, versus white-knuckling a full position through every pullback.
So the real trade the dip rule offers is lower returns for lower stress. In our tests it usually gave up more in missed gains than it saved in avoided losses — but if sleeping at night matters more to you than the last few points of return, that's a legitimate personal choice. Just go in knowing that's the trade, not "free outperformance."
The parameter trap (why you can't trust any single backtest)
We also tested a tighter version — buy a bigger 3% dip, hold only 5 days. It was worse almost everywhere (Apple 1yr: +29% versus +81% for the 2%/10-day version; it lost to buy-and-hold on nearly every name). Same idea, two different numbers, opposite conclusion. A strategy is never simply "good" — a specific setting on a specific stock over a specific window is, and it's trivially easy to fool yourself by trying settings until one looks great.
The honest fine print
The engine executes at daily closes only and ignores dividends, fees, slippage and taxes — all of which hit an active, frequently-trading rule harder than they hit buy-and-hold, so these idealised numbers flatter the dip strategy. It can only test still-listed tickers (survivorship bias), and past results predict nothing. This is an educational tool, not investment advice.
Test it on your stock — and watch the answer flip
The whole point is that you don't have to trust us, or the guy on Twitter. Change the ticker, change the dip size, change the hold, and watch the result swing from "genius" to "disaster":
Run your own dip backtest, free — no signup →
Want to test rules against your own actual portfolio or over longer histories? That's what Pulse is for.
Investing Paths builds honest, free tools for retail investors. Nothing here is investment advice; backtested results are hypothetical and ignore real-world costs. Do your own research.