Investors in the Financial Select Sector SPDR Fund face a timely question: how much confidence should they place in seasonal strength after September’s rate increase? JPMorgan’s October 13 earnings release arrives before XLF’s proposed entry.[5][3][4]

The October 20, 2026–July 2, 2027 window finished higher in all six selected midterm-election years spanning 2002–2022. That favorable record deserves attention, although broader histories include losing windows.[5]

Profits before the rate increase

JPMorgan’s July 14 second-quarter release reported $21.2 billion in profit, or $16.9 billion excluding Visa and other equity investment gains. Management credited elevated market activity, execution, prior investment and capital deployment. Markets revenue rose 35% from a year earlier, but management warned about inflation, geopolitical tensions, fiscal deficits and elevated asset prices.[1]

Bank of America’s July 14 release reported second-quarter profit of $9.1 billion versus $7.2 billion a year earlier. Revenue growth reflected net interest income, trading, asset management and investment banking fees. Markets activity, higher loan and deposit balances, and fixed-rate asset repricing supported net interest income; lower rates partly offset those drivers.[2]

The backdrop subsequently changed: on September 16, the Fed raised its target range by one-quarter percentage point to 3.75%–4%, citing elevated inflation.[3]

The evidence

Bank of America reported higher second-quarter net income

Reported net income in comparable second quarters

Bank of America reported higher second-quarter net income. Units: USD billions. 2Q25: 7.2; 2Q26: 9.1
Bank of America reported values; these are business results, not XLF returns.Source: Bank of America Reports 2Q26 Net Income of $9.1 Billion; EPS of $1.21, Up 34% YoY.
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Bank of America reported higher second-quarter net income · USD billions
MeasureValuePeriodStatus
2Q257.22Q25reported
2Q269.12Q26reported

CSV data · Full-size vector chart

Six selected midterm windows

TradeWave’s seasonal record puts the median full-window long result at 9.34%. These six selected observations support investigating the timing, but cannot establish a dependable election effect.[5]

XLF2026-10-20 to 2027-07-02 · 256 calendar days6 selected midterm-election years (2002–2022)

The year-by-year seasonal record

XLF: the selected seasonal record. Each bar shows the price change from the start to the end of the same seasonal period. Green means higher; red means lower. The dashed line marks TradeWave’s median full-window result of 9.34%. 6 selected midterm-election years (2002–2022)
Each bar shows the price change from the start to the end of the same seasonal period. Green means higher; red means lower. The dashed line marks TradeWave’s median full-window result of 9.34%.
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Window starting yearEnding price changeHighest from entryLowest from entry
2002+11.74%+16.09%-15.69%
2006+5.69%+9.89%-1.96%
2010+7.07%+18.15%-1.71%
2014+11.21%+13.96%+0.00%
2018+8.51%+9.25%-14.99%
2022+10.17%+19.46%-1.69%
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A gain can conceal discomfort

The yearly range chart covers the same seasonal period each year, not the whole calendar year. October 20, 2018–July 2, 2019 illustrates the distinction: XLF finished up 8.51% but reached 14.99% below the starting price. The highs and lows reveal neither their order nor a peak-to-trough loss.[5]

What happened inside each seasonal window

XLF: yearly seasonal range. Each year shows the same seasonal period. Bars show the price change at its end. Thin lines show the highest and lowest changes from the starting price during that period. The lines do not tell us which move came first or measure a fall from a peak. They are not suggested stop-loss levels. The dashed line marks TradeWave’s median full-window result of 9.34%. 6 selected midterm-election years (2002–2022)
Each year shows the same seasonal period. Bars show the price change at its end. Thin lines show the highest and lowest changes from the starting price during that period. The lines do not tell us which move came first or measure a fall from a peak. They are not suggested stop-loss levels. The dashed line marks TradeWave’s median full-window result of 9.34%.
View exact TradeWave observations and download
Window starting yearEnding price changeHighest from entryLowest from entry
2002+11.74%+16.09%-15.69%
2006+5.69%+9.89%-1.96%
2010+7.07%+18.15%-1.71%
2014+11.21%+13.96%+0.00%
2018+8.51%+9.25%-14.99%
2022+10.17%+19.46%-1.69%
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Broader history lowers confidence

Checking across all years tests how widely the favorable reading holds: success was 80.0% for windows starting in 2016–2025, versus 70.0% for 2006–2025. The longer history makes uninterrupted gains less convincing. Neither independently confirms the small midterm sample: the shorter history reuses 2018 and 2022; the longer reuses every selected year except 2002. The shorter history also sits entirely within the longer.[5]

See the history behind this comparison

TradeWave checks the same seasonal dates across different sets of years. This helps show whether the pattern holds up when you look at another stretch of history.

HistoryObserved start yearsDirectionSuccess rateMedian result
Article study: 6 selected midterm-election years (2002–2022)2002, 2006, 2010, 2014, 2018, 2022long100.0%9.34%
10 consecutive historical windows (2016–2025)2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025long80.0%9.34%
20 consecutive historical windows (2006–2025)2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025long70.0%7.79%

Some years appear in more than one group, so agreement is not an independent test. A requested lookback can extend beyond available history; the observed years are listed above. Election-cycle groups use matching phases, not consecutive years. Results follow the direction shown: a positive short result means prices fell. Small samples and different market periods make the comparison less conclusive.

Earnings first, then entry

October 13 brings the next earnings evidence. Before October 20, inspect this same window’s outcomes across TradeWave histories.[4][5]

Below, recorded prices end October 2, 2026, not at the future entry. The overlay uses this article’s six selected midterm years, rescaling their average seasonal path for comparison with prices. October 5–December 25 illustrates the next 60 weekdays, separate from the full window. It depicts historical shape, not future recorded prices, earnings predictions or a price target.[5]

Price history and the seasonal outlook

XLF recorded prices and TradeWave seasonal illustration. Blue shows recorded prices through 2026-10-02. The amber line overlays a section of TradeWave's seasonal trend, scaled to the last recorded price, using 6 selected midterm-election years (2002–2022). Its displayed dates are 2026-10-05 to 2026-12-25; covering the next 60 weekdays. That is a different horizon from the full seasonal window above. It illustrates the historical seasonal shape, not a price target or forecast.
Blue shows recorded prices through 2026-10-02. The amber line overlays a section of TradeWave's seasonal trend, scaled to the last recorded price, using 6 selected midterm-election years (2002–2022). Its displayed dates are 2026-10-05 to 2026-12-25; covering the next 60 weekdays. That is a different horizon from the full seasonal window above. It illustrates the historical seasonal shape, not a price target or forecast.

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About this seasonal analysis

6 selected midterm-election years (2002–2022). The selected dates, years, direction, returns and ranges come from TradeWave. When a window boundary is a weekend or market holiday, TradeWave uses the next available trading session. SMN displays the returned results without recalculating them. A year label identifies the start of the historical window; a window can end in the following calendar year.

Green and red bars show the underlying adjusted-price movement. The range endpoints measure changes from the entry price, not a peak-to-trough loss. Historical results are before trading costs and do not guarantee future performance.

TradeWave data methodology · The 100-Year Pattern

Sources & methodology

  1. JPMORGANCHASE REPORTS SECOND-QUARTER 2026 NET INCOME OF $21.2 BILLION ($7.70 PER SHARE), NET INCOME EXCLUDING SIGNIFICANT ITEMS OF $16.9 BILLION ($6.14 PER SHARE) · 2026-07-14
  2. Bank of America Reports 2Q26 Net Income of $9.1 Billion; EPS of $1.21, Up 34% YoY · 2026-07-14
  3. Federal Reserve issues FOMC statement · 2026-09-16
  4. JPMorganChase to Host Third-Quarter 2026 Earnings Call · 2026-09-17
  5. TradeWave XLF seasonal evidence · 2026-10-05