How many S&P 500 stocks trade above their own 200-day moving average, as of the Oct 27, 2026 close, by sector and month by month, with every yearly low and high since 2017.
Market risk reading, cross‑asset context and an events calendar: see Exent →
As of the October 27, 2026 close, 61.8% of S&P 500 stocks (309 of 500) were above their 200‑day moving average. That is the count on Exent’s price data for today’s 500 members, each compared with the simple average of its own last 200 daily closes. The other 191 members closed below their own average.
On the same day the SPDR S&P 500 ETF (SPY) closed 6.2% above its own 200‑day average and was up 13.7% for the year, dividends included. The 200‑day average itself, and how it is used as a trend line, is explained in what is the 200‑day moving average.
| Oct 27, 2026 close | Value |
|---|---|
| S&P 500 members above their 200-day average | 309 of 500 |
| Share above | 61.8% |
| Members below their 200-day average | 191 |
| SPY vs its own 200-day average | +6.2% |
| SPY return in 2026 (dividend-adjusted) | +13.7% |
The share rose from 42.4% on Sep 30, 2026, the lowest close of the year, to 61.8% on Oct 27. In mid‑September it sat near 54%, fell for two weeks into the end of the month, and climbed back through October.
| Close | Share above 200-day average |
|---|---|
| Sep 16, 2026 | 53.8% |
| Sep 24, 2026 | 47.6% |
| Sep 30, 2026 | 42.4% |
| Oct 6, 2026 | 50.2% |
| Oct 16, 2026 | 54.8% |
| Oct 22, 2026 | 60.0% |
| Oct 27, 2026 | 61.8% |
The table below shows the last 24 month‑ends. Over these two years the share moved between 37.8% (April 2025) and 78.8% (November 2024). The month‑end readings since 2017 follow the same method.
| Month-end | Share above | Month-end | Share above |
|---|---|---|---|
| Nov 2024 | 78.8% | Nov 2025 | 63.5% |
| Dec 2024 | 60.4% | Dec 2025 | 62.1% |
| Jan 2025 | 66.1% | Jan 2026 | 68.7% |
| Feb 2025 | 61.8% | Feb 2026 | 68.5% |
| Mar 2025 | 44.8% | Mar 2026 | 49.5% |
| Apr 2025 | 37.8% | Apr 2026 | 58.9% |
| May 2025 | 53.6% | May 2026 | 59.9% |
| Jun 2025 | 60.2% | Jun 2026 | 62.3% |
| Jul 2025 | 61.6% | Jul 2026 | 68.7% |
| Aug 2025 | 69.9% | Aug 2026 | 68.8% |
| Sep 2025 | 68.5% | Sep 2026 | 42.4% |
| Oct 2025 | 58.6% | Oct 27, 2026 | 61.8% |
The lowest close since 2017 was 3.8% on Mar 20, 2020, during the Covid crash, when almost every member fell below its trend line at once. The highest was 96.5% on Apr 21, 2021, during the broad rally that followed. Each year’s low and high:
| Year | Low | High | Year-end | What was happening at the low |
|---|---|---|---|---|
| 2017 | 71.0% (Aug 18) | 89.5% (Mar 1) | 85.1% | A calm year with no deep pullback |
| 2018 | 11.4% (Dec 24) | 86.4% (Jan 26) | 24.5% | The fourth-quarter selloff, which bottomed on Christmas Eve |
| 2019 | 16.5% (Jan 3) | 84.1% (Dec 27) | 83.6% | Just after the late-2018 selloff |
| 2020 | 3.8% (Mar 20) | 93.4% (Dec 1) | 92.8% | The Covid crash |
| 2021 | 57.0% (Dec 1) | 96.5% (Apr 21) | 76.6% | A late-year pullback after a broad rally |
| 2022 | 12.0% (Jun 17) | 78.1% (Jan 4) | 52.2% | The 2022 bear market, as the Fed raised rates to fight inflation |
| 2023 | 29.8% (Oct 27) | 82.2% (Dec 28) | 82.2% | The autumn 2023 pullback, before a year-end rally |
| 2024 | 58.8% (Dec 19) | 87.7% (Mar 28) | 60.4% | A December dip after a strong year |
| 2025 | 18.5% (Apr 8) | 73.1% (Aug 22) | 62.1% | The April 2025 tariff selloff |
| 2026 | 42.4% (Sep 30) | 75.6% (Aug 19) | 61.8% (Oct 27) | A September decline |
The deepest readings line up with the best‑known selloffs of the period: late 2018, March 2020, mid‑2022 and April 2025. How far individual stocks sit below their own highs, a related count, is in how many S&P 500 stocks are in a bear market.
Healthcare and energy. On Oct 27, 2026, 52 of 59 healthcare members and 18 of 22 energy members were above their 200‑day averages. Communication services, real estate, industrials and consumer cyclical stocks had the lowest shares, with fewer than half of their members above.
| Sector | Members | Above 200-day | Share |
|---|---|---|---|
| Healthcare | 59 | 52 | 88.1% |
| Energy | 22 | 18 | 81.8% |
| Consumer Defensive | 32 | 23 | 71.9% |
| Technology | 89 | 63 | 70.8% |
| Financial Services | 71 | 50 | 70.4% |
| Basic Materials | 22 | 15 | 68.2% |
| Utilities | 31 | 15 | 48.4% |
| Consumer Cyclical | 51 | 23 | 45.1% |
| Industrials | 72 | 32 | 44.4% |
| Real Estate | 29 | 11 | 37.9% |
| Communication Services | 16 | 5 | 31.2% |
As of the Oct 27, 2026 close. Six members without a sector label (2 of them above their average) are left out of this table; those 2 are included in the 309. Sectors use Exent’s labels, which differ from the official S&P sector classification.
Because the S&P 500 index is weighted by market value and this count is not. In the index, a handful of the largest companies carry a large share of the weight, so their moves can lift the index even when many smaller members trend lower. In the count, every stock is one vote, from the largest to the smallest.
When the two drift apart, analysts call it a divergence: the index near its highs while a smaller share of its members is in an uptrend. It describes how a rally is spread across stocks. It does not, on its own, say what the index does next, and it has resolved both ways in the past, with the laggards catching up or the leaders falling back.
How concentrated recent gains were is covered in is the stock market rally too narrow and in the Magnificent 7 vs the other 493. The wider idea of measuring participation, with other gauges such as advance‑decline lines and new highs vs new lows, is in what is breadth in the stock market.
Mostly as context. Technical analysts read the share of stocks above their 200‑day average as a gauge of how widely a trend is held, alongside the index’s own trend line. Some use the 200‑day line on the index itself as a rule for being in or out of stocks; how such a rule behaved in past crashes, with its whipsaws and costs, is in the 200‑day moving average strategy.
Breadth is one view of the backdrop. Others look at how risky and defensive assets move against each other, covered in is the market risk‑on or risk‑off. None of these readings is a timing signal on its own, and this page does not interpret the current figure as good or bad.
For each stock and each trading day, the close is compared with the simple average of that stock’s last 200 closes, using dividend‑adjusted prices from Exent’s price data. A stock counts as above when its close is higher than that average. A stock enters the count once it has 200 closes. The share is the number above divided by the members with data that day.
Members are today’s S&P 500 constituents, from the index list as of Oct 20, 2026. The daily series runs from Jan 3, 2017 to Oct 27, 2026 (2,468 trading days), counting only days with at least 400 members with data; month‑ends cover 465 to 500 stocks.
Survivorship: the history uses today’s members at every date. Companies that fell out of the index, often after weak stretches, are missing, so older readings are tilted upward compared with the index as it stood at the time. Published breadth series that use historical membership will show different numbers, especially in selloffs. These figures describe the past. They are not a forecast.
Market intel provides market context, cross-asset analysis, an events calendar and regular written notes. These can inform your review of an existing plan; they do not reliably predict crashes or guarantee better outcomes.
As of the October 27, 2026 close, 61.8% of S&P 500 stocks (309 of 500) were above their 200-day moving average, on dividend-adjusted closes for today’s members.
There is no fixed good level. The share describes how many stocks are in their own uptrends; since 2017 it has ranged from 3.8% in March 2020 to 96.5% in April 2021, and on its own it does not say where the market goes next.
Since 2017 the low was 3.8% on Mar 20, 2020, in the Covid crash. Other deep readings were 11.4% on Dec 24, 2018, 12.0% on Jun 17, 2022 and 18.5% on Apr 8, 2025.
For each member, the latest close is compared with the average of its last 200 daily closes. The number of stocks closing above their own average is divided by the number of members with enough data.
The index is weighted by company size, so a few very large companies can lift it while many smaller members trend lower. The count gives every stock the same weight.
Many charting platforms and market data sites publish a daily series of this share for the S&P 500. Numbers differ slightly between providers because of membership history and price adjustments.
Market intel provides a Risk ON / Neutral / Risk OFF reading from four pillars, cross-asset analysis, an events calendar and regular written notes. Context for reviewing a plan, not a crash forecast.
Educational content, not investment advice. Examples are illustrative; past performance does not guarantee future results.