S&P 500
The S&P 500 index tracks 500 of the largest U.S. publicly traded companies, weighted by market capitalization. It is widely regarded as the best single gauge of the U.S. equity market.
The recent 10-year consecutive seasonal record for the S&P 500 looks remarkably bullish, with 60-day and 90-day win rates both hitting 90% and projected gains of 19% and 17% respectively. But midterm election years tell a sharply different story. Over 24 midterm cycles, the 30-day win rate collapses to just 37.5%, with an average return of negative 1.12% and a projected target of 7,332, below current levels.
This divergence is the key tension to watch. The S&P 500 historically struggles in the first half of midterm years as policy uncertainty weighs on sentiment before a typical second-half recovery. With the index sitting near 7,610, the near-term seasonal headwind from the election cycle pattern deserves serious attention despite the otherwise constructive longer-term trend data.
Seasonal Price Projections
Select a historical basis and projection horizon to see where seasonal patterns suggest S&P 500 may be headed.
Projection as of Jun 03, 2026 from closing price $7,609.78
How to Use This Data
Seasonal projection data captures how the S&P 500 has historically performed during this specific calendar window across comparable years. The 90.0% consecutive win rate means the index closed higher in 9 out of 10 such periods, while the midterm election year pattern shows a more mixed 50.0% win rate with an average return of negative 0.3%.
When both the consecutive and midterm election year bases point in the same direction, the signal carries more weight than either pattern alone. Convergence suggests the tendency is consistent across different historical lenses. The median return is often more reliable than the average because it is less distorted by outlier years at either extreme.
Seasonal patterns reflect historical tendencies and cannot account for breaking news, earnings surprises, policy shifts, or geopolitical developments that may occur during the period. A 90.0% win rate still implies a losing outcome in roughly 1 out of 10 historical instances. These projections describe statistical tendencies, not guaranteed outcomes for any specific year.
Market participants often use seasonal data as one layer of context alongside fundamental analysis, technical signals, and macroeconomic conditions. It can inform how traders frame expectations for a given period without serving as a standalone basis for any decision. The data adds historical perspective, not certainty.
This information is provided for educational purposes only and does not constitute financial advice, a recommendation, or a solicitation to buy or sell any security. Seasonal patterns are based on historical data and do not guarantee future performance. All investment decisions carry risk. Consult a qualified financial advisor before making investment decisions.
Understanding Seasonal Projections
Seasonal projections estimate future price movement based on how S&P 500 has historically performed during the same calendar period. These are statistical baselines derived from decades of market data, not predictions.
Consecutive Years (Last 10)
Uses the most recent 10 years of data regardless of market regime. This captures the broadest recent behavior, including all economic and political environments. Over the next 60 trading days, this pattern has been positive 9 of 10 times with an average return of +3.7%.
Midterm Election Years (24 Available)
Uses only years that fall in the same position within the 4-year U.S. presidential election cycle. 2026 is a midterm election year. Markets often exhibit distinct patterns tied to fiscal and monetary policy shifts within this cycle. In 24 historical midterm election years, this 60-day window was positive 12 times with an average return of -0.3%.
Seasonal patterns reflect historical tendencies and do not guarantee future results. All projections are based on past performance and should be used as one input among many in your investment decision-making process. Data provided by TradeWave.ai.
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