S&P 500 Financials Sector SPDR (XLF) Has Gained in Every Midterm Window, Averaging 9.36%
S&P 500 Financials Sector SPDR is approaching a 358-day midterm-year seasonal window that has never produced a loss in this dataset, giving traders a rare long-cycle lens on financials’ election-year risk and reward.

What is the seasonal pattern for S&P 500 Financials Sector SPDR (XLF)?
S&P 500 Financials Sector SPDR has risen in 6 of 6 midterm-year windows starting around Jul 11 and lasting 358 days, with an average gain of 9.36% in winning years.
- 6 for 6 in this midterm-year window, with average gains of 9.36% in winning years.
- Percent Profitable is 100%, with 6 winners and 0 losers across the last six midterm election years.
- The window runs roughly 358 calendar days from Jul 11, spanning the back half of the midterm year into the pre-election year.
- Trade Direction is long, supported by a Sharpe ratio of 1.63 and a TradeWave Ratio of 2.4.
- Individual years have seen sizable swings, with maximum favorable moves above 19% and adverse excursions as deep as about 21.52% before finishing higher.
- Cumulative return across all six windows totals about 70%, pointing to a historically persistent bullish seasonal trend for XLF in this phase of the election cycle.
According to historical data from TradeWave.ai, this midterm-year stretch for financials has behaved very differently from an average calendar year. The next section walks through how that long-cycle pattern has played out for XLF in prior cycles.
How has S&P 500 Financials Sector SPDR (XLF) traded in this midterm-year window?
The seasonal window that begins on Jul 11 and runs for 358 calendar days has been quietly powerful for S&P 500 Financials Sector SPDR, delivering gains in every one of the last six midterm election years. That puts the upcoming XLF seasonal trend inside the classic midterm-to-pre-election phase, a part of the presidential cycle that has often coincided with friendlier policy signals and improving risk appetite for cyclicals like banks and insurers. For traders focused on stock pattern analysis, this is less about a quick trade and more about a full-year regime that has repeatedly rewarded long exposure to the financials sector.
Historically, this XLF seasonal trend has been firmly aligned with the long side. Percent Profitable sits at 100%, with 6 winners and 0 losers across the last six midterm election years, and average profit in those winning windows is 9.36%. The cumulative return across all six cycles is about 70%, which is consistent with an annualized return of 9.32% for this specific S&P 500 Financials Sector SPDR trading window.
The per-year table shows that the strongest net gain came in 2006, when XLF returned 15.61% between the Jul 11 entry and the end of the 358-day window, while the softest outcome was 5.99% in 2018. Even in the more modest years like 2002 and 2010, the ETF still logged net gains of 7.8% and 7.9% respectively over the full window. That consistency is unusual for a sector ETF tied to a cyclical group that typically lives and dies by the rate cycle.
The historical seasonal average trend for this XLF window slopes higher for most of the period, with relatively steady accrual rather than a single explosive burst. The pattern suggests that in prior midterm cycles, financials have tended to grind higher from mid-year through the following summer, with some acceleration as the calendar moves deeper into the pre-election year. That fits the broader election-cycle narrative where policy uncertainty fades and credit conditions often stabilize or improve.
Intraperiod swings, however, have been anything but quiet. Maximum favorable excursions have reached 19.17% in 2006 and 19.07% in 2010, showing that in strong years XLF has pushed well beyond its final net gain at some point during the window. On the downside, maximum adverse excursions have been as deep as about -21.52% in 2002 and -17.61% in 2018, meaning traders sitting through the full window had to tolerate sizable drawdowns even though the final outcome was positive.
Year-by-year bars that combine net results with peak run-ups and worst drawdowns capture that mix of upside persistence and real risk.
Those bars show a clear pattern: every year finished in the green, but several windows featured double-digit peak gains and double-digit drawdowns along the way. In 2002, for example, XLF’s best intraperiod rally reached 12.53% while the worst drawdown hit -21.52% before the ETF still closed the window up 7.8%. In 2018, the ETF’s maximum favorable move was 7.68% against a -17.61% adverse excursion, yet the full-window result was still a 5.99% gain. For a long-only seasonal strategy, that combination of strong TradeWave Ratio and meaningful MAE underscores that patience and risk management have historically mattered as much as direction.
History does not guarantee future results; adverse excursions can be large even in winning windows, and past XLF seasonal behavior may not repeat in the next midterm cycle.
Why does S&P 500 Financials Sector SPDR (XLF) follow this seasonal pattern?
One likely driver is the way the presidential election cycle shapes the policy and rate backdrop for banks and insurers. Midterm years often bring front-loaded volatility and regulatory noise, but the period from late in the midterm year into the pre-election year has historically coincided with clearer fiscal guidance, steadier credit conditions, and renewed risk appetite that can support financials. This XLF seasonal pattern may also reflect institutional portfolio rebalancing and sector rotation as investors position for the pre-election year, when broader equity markets have often traded with a pro-growth bias.
What is driving S&P 500 Financials Sector SPDR (XLF) today?
S&P 500 Financials Sector SPDR heads into this upcoming seasonal window with a one-month return of 7.92%, a move that has pulled the ETF closer to its 52-week high of 56.59 and away from its 52-week low near 47.34. Average 20-day volume sits around 36.5 million shares, and XLF is trading above its 50-day moving average of roughly 52.20, signaling that the near-term trend has already turned constructive ahead of the midterm-year seasonal regime. For traders watching the XLF seasonal trend, that backdrop means the ETF is entering a historically strong window from a position of relative strength rather than distress.
The chart below situates the latest move in its recent multi-month context and overlays the short-term seasonal projection.
What should traders watch as this XLF seasonal window approaches?
First, the calendar itself matters. The 358-day window starting Jul 11 sits squarely in the back half of the midterm election year and runs deep into the year before the presidential election, a phase that has historically been friendlier to risk assets than the choppier early-midterm months. How XLF behaves around that start date, especially relative to its 50-day moving average and the 52-week high near 56.59, will tell traders whether this cycle is tracking the historical seasonality or diverging from it.
Second, watch how intraperiod volatility evolves once the window is underway. Prior cycles show that even winning years have featured adverse excursions as deep as about -21.52%, so a sharp pullback early in the window would not automatically break the pattern. What has mattered historically is whether those drawdowns were followed by renewed buying that pushed XLF back toward its maximum favorable excursions, which have reached the high teens in several cycles.
Finally, keep an eye on the policy and rate backdrop that tends to drive the financials sector. As the midterm election year progresses and the policy calendar shifts toward the pre-election year, any signs of stabilizing credit conditions, clearer regulatory guidance, or a plateau in rate volatility could line up with the historical XLF seasonal trend. If those macro signals firm while XLF holds above key moving averages inside the window, it would echo the prior six cycles where the S&P 500 Financials Sector SPDR ultimately delivered gains across the full 358-day stretch.
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.