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What missing the best days costs — and what missing the worst days saves

Miss the ten best sessions of the last thirty years and your compound return falls by roughly a third. Miss the ten worst and it rises by more. Both halves are on this page, along with the reason you were never going to get one without the other.

24,781 sessions since 1928 · data through 28 Aug 2026

Last 30 years · 28 Aug 1996 to 28 Aug 2026

Fully invested
8.50%
compound, per year
Missing the 10 best
5.62%
compound, per year
Missing the 10 worst
11.72%
compound, per year
Best days beside a worst day
33 of 50
within ten trading sessions
Last 30 years: 28 Aug 1996 to 28 Aug 2026, 7,548 sessions over 30.0 years. Fully invested, the index compounded at 8.50% a year.
Sessions removedMissing the bestCostMissing the worstGain
None — fully invested8.50% a year
5 sessions6.78%-1.72%10.36%+1.86%
10 sessions5.62%-2.88%11.72%+3.22%
20 sessions3.72%-4.78%13.97%+5.47%
30 sessions2.12%-6.38%15.89%+7.39%
40 sessions0.72%-7.78%17.63%+9.13%
50 sessions-0.57%-9.07%19.23%+10.73%
Full history: 3 Jan 1928 to 28 Aug 2026, 24,781 sessions over 98.7 years. Fully invested, the index compounded at 6.36% a year.
Sessions removedMissing the bestCostMissing the worstGain
None — fully invested6.36% a year
5 sessions5.70%-0.66%7.12%+0.76%
10 sessions5.17%-1.19%7.67%+1.31%
20 sessions4.24%-2.12%8.64%+2.28%
30 sessions3.44%-2.92%9.50%+3.14%
40 sessions2.72%-3.64%10.28%+3.92%
50 sessions2.07%-4.29%11.00%+4.64%
The twenty largest single-session gains in the record.
DateChange
15 Mar 1933+16.61%
30 Oct 1929+12.53%
6 Oct 1931+12.36%
5 Sep 1939+11.86%
21 Sep 1932+11.81%
13 Oct 2008+11.58%
28 Oct 2008+10.79%
22 Jun 1931+10.51%
17 Apr 1935+9.61%
20 Apr 1933+9.52%
9 Apr 2025+9.51%
17 May 1935+9.40%
24 Mar 2020+9.38%
13 Mar 2020+9.29%
8 Aug 1932+9.26%
21 Oct 1987+9.10%
14 Nov 1929+8.95%
19 Jun 1933+8.87%
3 Aug 1932+8.86%
24 Jul 1933+8.81%
The twenty largest single-session losses. Compare the dates against the column beside it.
DateChange
19 Oct 1987-20.47%
28 Oct 1929-12.94%
16 Mar 2020-11.98%
29 Oct 1929-10.16%
16 Apr 1935-9.97%
6 Nov 1929-9.92%
3 Sep 1946-9.91%
12 Mar 2020-9.51%
18 Oct 1937-9.12%
5 Oct 1931-9.07%
15 Oct 2008-9.03%
1 Dec 2008-8.93%
20 Jul 1933-8.88%
29 Sep 2008-8.81%
21 Jul 1933-8.70%
10 Oct 1932-8.55%
26 Oct 1987-8.28%
5 Oct 1932-8.20%
12 Aug 1932-8.02%
16 Aug 1935-7.97%

Price returns from daily closing levels. Index price returns exclude dividends. Full provenance, method and a citation line are in Sources and method below.

The statistic, and what it does not prove

Over last 30 years, missing the ten best sessions takes the compound return from 8.50% to 5.62% a year. That is the number in circulation, and it is correct. What is almost never printed beside it: missing the ten *worst* sessions over the same window raises it to 11.72%. The second effect is larger than the first.

Taken alone, each half is an argument for the opposite behaviour, which is a good sign that neither is an argument at all. A statistic that supports staying invested when you show one column and supports timing the market when you show the other is not evidence about either; it is evidence that removing the extreme observations from a fat-tailed series moves the result a lot.

The column that does carry an argument is the clustering. Of the fifty best sessions in the entire record, 33 — 66% of them — happened within ten trading days of one of the fifty worst. They are not separate events you could sort into a good pile and a bad pile. They are the same handful of crises, and the enormous up days are what crises look like from the inside. Sitting out the fortnight to avoid the crash means sitting out the rebound, because it is the same fortnight.

One more thing worth checking whenever you meet this statistic: which window it used. The full record since 1928 and the last thirty years give visibly different figures on this page, because the extremes of the 1930s dominate the long window. Any version quoted without its period cannot be reproduced, and most of the versions in circulation do not name one.

Questions people ask about this

Why is the 'missing the worst days' figure never quoted?
Because it points the other way. The statistic is almost always deployed as an argument for staying invested, and the symmetric fact — that avoiding the worst sessions helps at least as much as catching the best ones hurts — undercuts that framing if presented alone. Neither half is an argument by itself. The reason to stay invested is the third table on this page, not either of the first two.
Could I have avoided the worst days and kept the best?
The clustering figure on this page is the answer, and it is the number the whole argument rests on: a large majority of the best sessions in the record occurred within ten trading days of one of the worst. They are the same market episodes. Being out for the crash means being out for the rebound, because they are usually the same fortnight.
Which window should I quote?
Say which one you are quoting. The full 1928-onwards record and the last thirty years give noticeably different figures, because the extremes of the 1930s dominate the long window. Any version of this statistic quoted without its period is not checkable, which is most of the versions in circulation.

Sources and method

Data
  • Financial Modeling PrepDaily adjusted closing levels and quotes, retrieved through Plutux's own data service.
  • S&P Dow Jones IndicesPublisher and methodology owner of the S&P 500 index itself.
How it was calculated
Daily percentage changes between consecutive closes. A scenario removes the N largest (or smallest) of them and compounds the rest, so the removed sessions contribute nothing rather than being replaced by an average day. Annualised figures divide by the exact number of years between the first and last session, not by the difference of the calendar years. Clustering counts how many of the fifty best sessions fell within ten trading sessions of one of the fifty worst. Price returns, dividends excluded.
How often it changes
Regenerated from the full daily history about once a year; the date it runs through is at the top of the page.
Citing this page

Free to quote — please link rather than copy the table.

Plutux. "What missing the best days costs — and what missing the worst days saves." Data through 28 Aug 2026. https://plutux.ai/resources/tools/missing-the-best-days

Historical figures for information only — not investment advice, and not a forecast.

Plutux is not an investment adviser. Market data and AI-generated analysis are for information and education only, not investment advice. Disclaimer

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Missing the Best Days in the Market — The Numbers, Both Ways | Plutux