XLF

S&P 500 Financials Sector SPDR Seasonal Stock Pattern
$55.62 +1.53%

27 years of seasonal data. AI scored daily.

Best Month Apr +2.1% 61% win rate
Worst Month Feb -1.4% 46% win rate
AI Bias LONG 95.1 84.5% win prob
History 27 yrs Updated daily

S&P 500 Financials Sector SPDR (XLF) has historically averaged +2.1% in Apr with a 61% win rate over 27 years of data, making Apr the best month to buy XLF stock. Feb is the weakest month, averaging -1.4%. TradeWave's AI currently assigns XLF a long seasonal bias with a score of 95.1 and 84.5% win probability, based on 27 years of comparable seasonal windows.

Next 30 Days for XLF: Seasonal Outlook

Over the last 27 years, buying XLF on this calendar date (2026-07-04) and holding through 2026-08-03 produced +1.33% on average, with 17 winning years and 10 losing years. TradeWave's AI derives a LONG bias for this setup.

Midterm (Year 2) only (6 samples)
XLF has averaged +1.39% in this 30-day window during midterm years (4 up, 2 down).
That's +0.06 pts vs the all-years average of +1.33%. 2026 is a midterm year.
AI Score: 95.1 LONG bias 84.5% Model Win Prob +4.17% Predicted +5.59% Peak

Best historical year in this window: 2009 (+16.2%). Worst: 2007 (-12.2%). This synthetic 30-day setup is re-scored daily.

See XLF in TradeWave →

Monthly Seasonality for XLF

Average monthly return from 1999 to 2026. Green bars are positive months, red bars are negative. The highlighted bar is XLF's historically strongest month.

+2.1% 0% -2.1% -0.5% Jan -1.4% Feb +0.8% Mar +2.1% Apr +0.3% May -0.7% Jun +1.4% Jul +0.4% Aug -0.8% Sep +1.9% Oct +2.0% Nov +1.9% Dec

Based on 27 years of data (1999 to 2026). Best month is Apr, highlighted in gold.

XLF Monthly Performance Stats

All 12 months, based on 27 years of historical price data.

Month Avg Return Win Rate Best Year Worst Year
Jan -0.48% 50% +8.0% -27.0%
Feb (worst) -1.42% 46% +10.2% -17.8%
Mar +0.77% 46% +25.0% -24.9%
Apr (best) +2.15% 61% +18.4% -9.7%
May +0.26% 57% +14.8% -10.9%
Jun -0.71% 39% +9.1% -16.2%
Jul +1.38% 63% +9.5% -9.8%
Aug +0.37% 56% +10.2% -10.1%
Sep -0.81% 48% +7.7% -9.4%
Oct +1.85% 63% +19.7% -24.9%
Nov +1.98% 67% +14.7% -18.9%
Dec +1.86% 67% +20.4% -11.7%

XLF: All Years vs Midterm (Year 2) Only

2026 is a midterm (year 2) year in the 4 year presidential cycle. The same monthly seasonality recomputed using only prior midterm (year 2) years (2002, 2006, 2010, 2014, 2018, 2022) often tells a very different story. Months where the cycle phase diverges most from the long-run average are where seasonal edges either compound or evaporate.

Month All Years Avg Midterm (Year 2) Avg Difference Sample (Phase)
Jan -0.48% -0.51% -0.03 pts 6 yr
Feb -1.42% +0.44% +1.86 pts 6 yr
Mar +0.77% +3.15% +2.38 pts 6 yr
Apr +2.15% -1.24% -3.39 pts 6 yr
May +0.26% -1.84% -2.10 pts 6 yr
Jun -0.71% -2.96% -2.25 pts 6 yr
Jul +1.38% +1.76% +0.38 pts 6 yr
Aug +0.37% +0.20% -0.17 pts 6 yr
Sep -0.81% -2.06% -1.25 pts 6 yr
Oct +1.85% +2.62% +0.77 pts 6 yr
Nov +1.98% +2.27% +0.29 pts 6 yr
Dec +1.86% -1.05% -2.91 pts 6 yr

Highlighted rows show months where midterm (year 2) years diverge by more than 3 percentage points from the long-run average. Sample sizes are small by design. Each cycle phase contains roughly one year in four of historical data.

Beyond Monthly Averages: Precision Seasonal Windows

Monthly averages show you the general direction. TradeWave goes further, scanning up to 98 years of daily price data to detect specific recurring date-range windows where XLF has shown the strongest historical consistency.

60 Active patterns right now
83d Window length (top pattern)
85% AI win probability

TradeWave has identified 60 precise windows active for XLF right now, each with specific entry and exit dates and an AI-scored probability. These aren't broad monthly trends. They're exact date ranges backed by decades of historical data.

XLF in Midterm (Year 2)

2026 is classified as midterm (year 2) in the 4 year presidential cycle. Historically, XLF has averaged +0.5% returns in this cycle phase.

Post-Election
+16.6%
Midterm
+0.5%
Pre-Election
+5.0%
Election
+5.7%

Key Dates for XLF

Earnings
N/A
ETFs don't report earnings
Best Month to Buy
Apr
Avg +2.15%, 61% win rate
Worst Month
Feb
Avg -1.42%

XLF Seasonal Pattern FAQ

Is XLF a good stock to buy right now?

Over the last 27 years, XLF has averaged +1.33% in the 30 days after 2026-07-04, winning 17 of 27 completed years. TradeWave's AI derives a LONG bias for this setup with an AI Score of 95.1 and 84.5% model win probability. This is seasonal pattern analysis, not a buy recommendation.

What is the best month to buy S&P 500 Financials Sector SPDR stock?

Based on 27 years of historical data, Apr is the best month to buy S&P 500 Financials Sector SPDR (XLF) stock, with an average return of +2.1% and a 61% win rate.

What is the worst month for XLF stock?

Feb is historically the worst month for S&P 500 Financials Sector SPDR (XLF) stock, with an average return of -1.4% and a 46% win rate over 27 years of data.

Should I buy or sell XLF stock?

TradeWave's AI seasonal analysis currently shows a long bias for XLF over the next 30 days, with an AI score of 95.1. This is based on how XLF has historically performed during this same calendar window across 27 prior years. Seasonal patterns are one factor among many and should not be used as the sole basis for trading decisions.

Does S&P 500 Financials Sector SPDR follow seasonal patterns?

Yes. S&P 500 Financials Sector SPDR (XLF) shows measurable seasonal tendencies across 27 years of historical data. The strongest month is Apr (+2.1% average return, 61% win rate) and the weakest is Feb (-1.4% average). These patterns are driven by factors like earnings cycles, tax-loss harvesting, fund rebalancing, and investor sentiment shifts. TradeWave's AI scores these patterns daily and identifies the highest-probability seasonal windows.

What is XLF's stock forecast for 2026?

For the current seasonal window, TradeWave's AI projects a long bias for XLF with +1.3% average historical return over the next 30 days. 2026 is a midterm (year 2) year in the presidential election cycle, which can amplify or dampen seasonal effects. See the election cycle section above for 2026-specific analysis.

Does XLF follow election cycle patterns?

Yes, the cycle phase changes the picture for XLF. Across all years, XLF's strongest month is Apr (+2.1% avg). Looking only at prior midterm (year 2) years (6 samples: 2002, 2006, 2010, 2014, 2018, 2022), the biggest divergence is Apr, which averages -1.2% in this cycle phase versus +2.1% across all years (a -3.4 point shift). The strongest cycle-phase tailwind is Mar at +3.1% versus +0.8% all-years. 2026 is a midterm (year 2) year, so the cycle-filtered numbers are the more relevant guide right now.

How has XLF performed historically by month?

Over 27 years of data, S&P 500 Financials Sector SPDR (XLF) shows distinct monthly patterns. The best month is Apr (+2.1% avg, 61% win rate) and the worst is Feb (-1.4% avg, 46% win rate). The full monthly breakdown with win rates, best and worst individual years, and election-cycle filters is shown in the tables above.

See the full seasonal analysis for XLF

AI scored patterns, entry and exit windows, historical backtests, and daily picks. Free tier available.

Related Seasonal Patterns

Compare XLF's seasonal trends with similar stocks. S&P 500 Financials Sector SPDR's best month is Apr (+2.1% avg). See how these related tickers compare.

View all 100 seasonal patterns →

Seasonal analysis, not investment advice. Past performance does not guarantee future results.

Last updated 2026-07-04