Dow Jones Industrial Average
The Dow Jones Industrial Average tracks 30 prominent blue-chip companies listed on U.S. stock exchanges. It is one of the oldest and most-watched indices in the world.
The 90-day seasonal window stands out sharply for the Dow, with the last decade showing a 90% win rate and a projected 17.3% gain to roughly 55,567. That is a remarkably consistent signal across nine of ten years. The 30-day and 60-day windows are more modest but still lean positive at 60% win rates.
The tension emerges when midterm election year history enters the picture. Midterm cycles show the 90-day win rate dropping to 44.4% with a projected decline to 45,154, essentially flipping the broader seasonal story on its head. The 30-day midterm window holds up at 66.7%, suggesting near-term resilience before potential mid-cycle pressure builds. Watch whether the index holds current levels through the 60-day mark, where midterm history turns flat.
Seasonal Price Projections
Select a historical basis and projection horizon to see where seasonal patterns suggest Dow Jones Industrial Average may be headed.
Projection as of Mar 10, 2026 from closing price $47,740.80
How to Use This Data
Seasonal projection data for the Dow Jones Industrial Average shows how the index has historically performed during this same calendar period across past years. The consecutive pattern reflects a 60% win rate, meaning the index finished higher in 60 out of every 100 comparable historical periods, with an average return of +0.9%.
When the two bases diverge, as they do here, it signals that midterm election years have produced meaningfully different outcomes than the broader consecutive history. The midterm pattern shows a 50% win rate and a median return of -0.4%, and the median is often more useful than the average because it is less distorted by a small number of extreme years in either direction.
Seasonal patterns cannot account for unexpected events such as policy shifts, earnings surprises, geopolitical developments, or sudden changes in monetary policy. A 60% historical win rate still leaves a 40% probability of a decline, and no statistical tendency guarantees any specific outcome in a given year.
Market participants often use seasonal data as one layer of context alongside fundamental analysis, valuation metrics, and technical indicators. The divergence between a +5.5% consecutive projection and a -0.5% PE-based projection illustrates why multiple frameworks together provide a more complete picture than any single data point alone.
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 Dow Jones Industrial Average 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 6 of 10 times with an average return of +0.9%.
Midterm Election Years (18 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 18 historical midterm election years, this 60-day window was positive 9 times with an average return of +0.0%.
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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