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S&P 500 Technology Sector SPDR (XLK) Has Rallied in 6 of 6 Midterm Windows, Averaging 21.17%

S&P 500 Technology Sector SPDR is heading toward a midterm-year seasonal regime that has never posted a loss in this dataset, putting a powerful historical tailwind on tech into mid-2027.

S&P 500 Technology Sector SPDR (XLK) market analysis and seasonal trends - TradeWave.ai
Analysis powered by the TradeWave quantitative engine. Published Jul 6, 2026 Methodology

What is the seasonal pattern for S&P 500 Technology Sector SPDR (XLK)?

S&P 500 Technology Sector SPDR has risen in 6 of 6 midterm-year windows starting around Jul 31, with an average gain of 21.17% in winning years.

  • 6 for 6 in this window, with winning years averaging 21.17% gains across the last six midterm election cycles.
  • Seasonal window begins Jul 31, 2026 and runs 363 calendar days, spanning late midterm year into the heart of the pre-election year.
  • Percent Profitable is 100%, with 6 winners and 0 losers in the TradeWave sample.
  • Annualized return across the window clocks in at 21.0%, supported by a Sharpe ratio of 2.41 on end-of-window outcomes.
  • The TradeWave Ratio of 2.5 signals that price typically travels meaningfully in the long direction during the window, even before final results are booked.
  • Intraperiod swings have been sizable, with individual years showing double-digit peak run-ups and notable drawdowns along the way.

According to historical data from TradeWave.ai, this upcoming stretch for XLK behaves very differently from an average year, with a distinct midterm-to-pre-election seasonal bias that many tech investors may be underestimating.

How strong is the upcoming seasonal window for S&P 500 Technology Sector SPDR (XLK)?

The seasonal window that begins for S&P 500 Technology Sector SPDR on Jul 31 has produced gains in every one of the last six midterm election cycles, averaging 21.17% per trade. That makes this a historically powerful long regime for XLK that runs almost a full year, from late in the midterm election year through much of the year before the presidential election. For traders who think in election cycles, this is the part of the calendar where tech leadership has tended to reassert itself rather than fade.

Per-year net returns for XLK in the midterm-year seasonal window
Per-year net returns for XLK in the 363-day midterm-year seasonal window starting around Jul 31.
Symbol: XLK Window: 363 calendar days Cycle: the last 6 midterm election years Pattern start: 2026-07-31 Pattern phase: midterm election year into pre-election year Resource: ETF

Grouping the data by presidential election cycle matters here because this window sits squarely in the classic midterm-to-pre-election handoff, a phase that has often coincided with friendlier policy tone, clearer fiscal paths and renewed risk appetite for growth sectors. XLK’s pattern is measured only across midterm years, so the six observations reflect 2002, 2006, 2010, 2014, 2018 and 2022, not six consecutive calendar years.

Across those six cycles, the ETF’s annualized return in this window is 21.0%, with a Sharpe ratio of 2.41 based on end-of-window outcomes. The trade direction is explicitly long, and every instance has finished in the green, from a 10.59% gain in 2014 to a 31.05% surge in 2006. Average winners at 21.17% line up closely with the 21% all-years figure because there have been no losing years in this sample.

The per-year table shows how that strength has played out in practice. In 2002, XLK entered the window around 5.32 and exited near 6.63, banking a 24.5% gain. In 2022, the ETF started near 69.87 and finished around 87.22, a 24.85% rise despite a volatile macro backdrop. Even the “softest” year, 2014, still delivered a double-digit 10.59% net return from entry to exit.

Historical seasonal average path for XLK in the midterm-year window
Historical seasonal average for XLK across the last six midterm election years in this 363-day window.

The historical seasonal trend chart shows a fairly steady climb rather than a single explosive burst. Returns tend to build over the life of the window, with periods of consolidation but no consistent pattern of early collapse or late-year giveback. That fits the idea of a regime shift more than a short-lived trade: tech has often gained ground through much of the midterm-to-pre-election stretch.

Year-by-year bars with intraperiod swings highlight how much XLK has typically moved inside the window before settling at its final gain.

Net returns with maximum favorable and adverse excursions for XLK in the seasonal window
Net returns with maximum favorable (MFE) and maximum adverse (MAE) excursions for XLK in the midterm-year seasonal window.

The bars with MFE and MAE tell the volatility story. In 2006, XLK’s best intraperiod move reached 37.62% above entry while the worst drawdown was only 1.97% below, a clean upside skew. In 2018 and 2022, though, the ETF still finished up 18.08% and 24.85% respectively, but only after enduring adverse excursions of roughly 18.2% and 21.31% from the starting point. MFE/MAE, defined as the best and worst intraperiod excursions from entry, show that this has been a high-conviction long window historically, but not a low-volatility one.

History does not guarantee future results; adverse excursions (MAE) can be large even in winning windows.

Why does S&P 500 Technology Sector SPDR (XLK) follow this seasonal pattern?

One likely driver is the way the tech sector lines up with the policy and earnings calendar between midterm and pre-election years. Analysts often point to a combination of clearer regulatory signals, steadier fiscal policy and institutional portfolio rebalancing into growth as election uncertainty fades. This pattern may also reflect how mega-cap tech earnings and buyback cycles cluster in this phase, giving XLK a structural tailwind once the midterm year’s early volatility is behind it.

What is driving S&P 500 Technology Sector SPDR (XLK) today?

XLK has pulled back about 7.75% over the past month, even as it trades well above its 52-week low of roughly 61.89 and below its 52-week high near 198.26. The ETF’s 50-day moving average sits around 178.23 with 20-day average volume near 14.96 million shares, a reminder that recent softness is coming after a strong multi-quarter run rather than from a standing start. With no single earnings date or macro headline dominating the tape, the move looks more like a consolidation in a crowded trade than a clear shift in the long-term tech story.

The chart below situates the latest pullback against XLK’s past year of trading and a short-term seasonal projection.

XLK price over the past 12 months with a 60-day seasonal projection overlay
XLK price over the past 12 months with a 60-day seasonal projection, highlighting the recent pullback ahead of the Jul 31 window.

For traders, the key tension is timing. The ETF is digesting gains just weeks before a historically strong midterm-year seasonal window opens, and the historical pattern suggests that once the window starts, XLK has often moved quickly in the long direction. Add it up: six straight winning cycles, double-digit average gains and a track record of sizable intraperiod swings mean this upcoming window is less about whether XLK moves and more about how investors manage the ride.

What should traders watch as this XLK seasonal window approaches?

First, the calendar. The 363-day window kicks off on Jul 31, 2026 and runs deep into the year before the presidential election, overlapping a phase that has historically been friendly to risk assets. Second, levels: how XLK behaves around its 50-day moving average and the prior 52-week high near 198.26 will shape whether the ETF enters the window from a position of strength or still in repair mode. Third, volatility: past cycles show that maximum adverse excursions can reach into the high teens even in winning years, so traders will want to track whether early drawdowns stay contained or start to resemble the deeper swings seen in 2018 and 2022. Finally, behavior inside the window will be the real tell; if XLK fails to build sustained upside during a regime that has historically delivered 21% gains with a 100% win rate, that would be a clear sign that this election-cycle pattern is weakening.

Sources

About this seasonal analysis

Seasonal pattern data is sourced from TradeWave.ai, which analyzes historical price behavior across annual calendar windows going back up to 30 years. Read the full data methodology or the book The 100-Year Pattern by Afshin Moshrefi (2026 edition). Past performance of seasonal patterns does not guarantee future results. This article is for informational purposes only and does not constitute investment advice.

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