Showing posts with label DJIA. Show all posts
Showing posts with label DJIA. Show all posts

Monday, December 29, 2025

2026 Midterm Election Year Seasonal Patterns of US Indices | Jeff Hirsch

Within the four-year presidential cycle, the midterm year represents the weakest phase for equities. It is characterized by low single-digit average returns and the cycle's deepest intra-year pullbacks. However, it also sets the stage for the most reliable and profitable recovery rallies, which typically extend well into the following year. Historical data on years ending in "6," dating back to 1806, show that 85% closed higher, with only four instances of declines. Hurst cycles project 9-month troughs for January and October 2026 (as illustrated in the charts at the end of this article).  
 
 
The first chart above shows the average seasonal performance of the DJIA (blue), S&P 500 (black), NASDAQ (green), and Russell 2000 (grey) from 1949 to 2024. All follow a consistent trajectory: a period of weakness from January through September, with average cumulative declines of 2–8%, followed by a fourth-quarter recovery that pushes annual returns toward positive territory.

 


The next chart focuses on the S&P 500, comparing the broader midterm average (blue) against the sixth year of a presidency (red), second-term Republican midterms (green), and Jeffrey A. Hirsch's Stock Trader’s Almanac aggregate cycle (black). Across all categories, early-year gains eventually yield to mid-year volatility, and a strong rally consistently emerges from October onward.
 
The second-term Republican midterm cycle (green) begins with a minor January dip, followed by a steady ascent that peaks at roughly 6-8% by April-June. After third-quarter volatility—where gains typically compress to a 1% floor in September—the market enters a year-end rally exceeding 8% by December.
 
 Performance of the S&P 500 during the Presidential Cycle
Midterm Years see both the largest pullbacks, and the best recovery rallies.

 S&P 500 Peak-to-Trough Declines in Midterm Election Years, 1950-2022.

The table above outlines every S&P 500 peak-to-trough decline during midterm election years between 1950 and 2022. These declines averaged 17.3% over 115 calendar days, typically beginning in late April and finding a floor by mid-August. However, all of these declines consistently acted as springboards, fueling recovery rallies that averaged 31.7% gains one year later.
 
  
 
and the aggregated Composite Cycle (thick black line).
 
 
While the ideal period for Hurst’s nominal 40-week cycle (also known as the 9-month cycle) is 272 days (38.86 weeks), current data from TimeSeriesSCC and Sentient Trader indicate a shorter realized average in the S&P 500 and NASDAQ. Over the last ten iterations, the measured 40-week cycle has averaged 257 to 262 days (36.7 to 37.4 weeks).

Projecting this duration forward from the major troughs of April 7 and April 21, 2025, the next 40-week cycle trough was initially expected to occur in a window between December 20, 2025, and January 8, 2026. However, considering the recent 80-, 40-, and 20-day troughs—including those from the DJI, NDX, ASX, DAX, NIFTY, and BTCUSD—shifts the projected window toward mid-late-January.

 
 

 Gold, Midterm Year Seasonal Pattern (1975-2024).
 
 Silver, Midterm Year Seasonal Pattern (1973-2024).
 
 
 Copper, Midterm Year Seasonal Pattern (1973-2024).
 
Crude Oil, Midterm Year Seasonal Pattern (1984-2024).

 
Natural Gas, Midterm Year Seasonal Pattern (1991-2024).

See also: 
Larry Wiliams (December 23, 2025) - 2026 Market Forecast: Cycles, Risks, and Opportunities.

Monday, December 1, 2025

December Post-Election Year Seasonality of US Stock Markets | Jeff Hirsch

December trading is traditionally shaped by holiday sentiment, with a general buying bias, though early-month markets can be choppy due to tax-loss selling and year-end adjustments. Historically, the first trading day of December has been bearish for the DJIA, S&P 500, NASDAQ, and Russell 1000 over the past 21 years, with the Russell 2000 seeing even sharper declines.

Choppy First Half, Then Year-End Rally.
 
The first half of December is typically choppy, with early gains often fading into mid-month. Then holiday tailwinds usually begin to dominate, lifting the major indexes. A brief consolidation in the Santa Claus rally around December 25 is common, even as the market continues to push toward higher prices into year-end.
 

Monday, November 3, 2025

November Post-Election Year Seasonality: Best Month of the Year | Jeff Hirsch

November is typically a bullish month, with twelve bullish days based on the S&P 500. This includes a streak of six consecutive bullish days starting on the first trading day (Nov 3 (Mon)). Although historically a bullish month, November does have its weak points.

November Performance of US Stock Indices: Recent 21-Year (2004-2024) and Post-Election Years (1950-2021).
November Performance of US Stock Indices: Last 21-Years (2004-2024) and Post-Election Years (1950-2021).

The DJIA and Russell 2000 tend to exhibit the greatest strength at the beginning and end of the month. The Russell 2000, in particular, is notably bearish on its 12th trading day (Nov 18 (Tue)); the small-cap benchmark has risen just eleven times in the past 41 years (since 1984). On this day, the Russell 2000's average decline is 0.41%.

Recent weakness around Thanksgiving (Nov 27 (Thu)) has shifted the strength of the DJIA and S&P 500 to align more closely with that of the NASDAQ and Russell 2000, with the majority of bullish days occurring at the start and end of the month. The best way to trade around Thanksgiving is to go long on any weakness before the holiday and exit into strength just before or after.
 
Reference: 
 
S&P 500 Seasonailty First and Last Half of each Month (1928-2024). 
 
 
  

Friday, October 24, 2025

J.M. Hurst’s "Principle of Commonality": One Divine Force | Ahmed Farghaly

The "Cyclic Principles" introduced by J.M. Hurst in the 1970s are universal, persisting since the dawn of time. Among these, the "Principle of Commonality" stands out, as it demonstrates that the cycles of disparate financial instruments—and, by extension, human activity—are synchronized by a singular, overarching divine force. Troughs of unrelated instruments occur almost simultaneously, while divergences in peaks or amplitudes stem from local or company-specific factors rather than the underlying rhythm.

» The Principle of Commonality assures us that identical specific and forecastable wave processes occur in all negotiable equities of all types on all markets of the world. So all-pervasive is this Principle that it is only the Principle of Variation that prevents the shape of price histories of all equities from being nearly identical. And, as we have seen, it is the interaction of fundamental events and situations with cyclicality, causing wave amplitude change, that is responsible for the Principle of Variation. «
» The Principle of Commonality assures us that identical specific and forecastable wave processes occur in all negotiable equities of all types on all markets of the world. So all-pervasive is this Principle that it is only the Principle of Variation that prevents the shape of price histories of all equities from being nearly identical. And, as we have seen, it is the interaction of fundamental events and situations with cyclicality, causing wave amplitude change, that is responsible for the Principle of Variation. 
» A Commonality Phasing Model is, in effect, a large measuring strip used to preserve wave phase and period information from the analysis of two or more equities. Only the most certain of the wave trough locations are used from any given analysis. As results are added from analysis of more and more equities, gaps are filled in and a commonality distribution range is established for each wave trough position in time. A commonality phasing model can be maintained continuously, thus recording the most definitive evidence of wave phase and period from all analyses conducted. «     The Principle of Commonality, J.M. Hurst, 1973.
» A Commonality Phasing Model is, in effect, a large measuring strip used to preserve wave phase and period information from the analysis of two or more equities. Only the most certain of the wave trough locations are used from any given analysis. As results are added from analysis of more and more equities, gaps are filled in and a commonality distribution range is established for each wave trough position in time. A commonality phasing model can be maintained continuously, thus recording the most definitive evidence of wave phase and period from all analyses conducted. «
The Principle of Commonality, J.M. Hurst, 1973. 
Hurst emphasized its practical value: understanding one cycle illuminates others, with minor deviations—his third type of the Principle of Variation [each market’s active cycles deviate from the nominal model’s average periods, and these deviations differ across instruments and times]—leaving global synchronization intact as dictated by the Principle of Commonality. Empirical studies across unrelated assets, commodities, equities, and economic time series confirm that the Principle of Commonality governs beyond any single economy, reflecting a universal rhythm and mirroring humanity’s progression from polytheism toward recognition of a monotheistic, single guiding influence.
 
And your God is one God. There is no deity except Him, the Most Gracious, the Most Merciful.
The Holy Qur’an, Surah Al-Baqarah (The Cow), 2:163.
  
The persistence of cyclical waves through recorded history suggests that Commonality is trans-historical. Data since around 1000 AD reveal continuous alignment, and extrapolation indicates these forces existed long before formal record-keeping. Historical observation supports this: human advancement in the Stone and Bronze Ages unfolded in temporal synchrony across disconnected populations, indicating the operation of the consistent underlying divine force.
 
For every nation is an appointed term; when their term is reached,
neither can they delay it nor can they advance it an hour or a moment. 
The Holy Qur’an, Surah Al-A‘rāf (The Heights), 7:34. 
 
While troughs—the beginnings and endings of cycles—are closely aligned across nations, local expression varies. Peaks may occur at different times, amplitudes differ, and local fundamentals shape trajectories. The Principle of Commonality thus governs temporal alignment of critical points while allowing variation in the wave’s characteristics.
 
Chart 1: Saudi Stock Exchange Index (Tadawul; magenta) versus Dow Jones (DJIA) from 2000 to 2025.
Chart 1: Saudi Stock Exchange Index (Tadawul; magenta) versus Dow Jones (DJIA) from 2000 to 2025.

Empirical evidence validates these assertions. The Kuznets Swing (an 18-year cycle) peaked in 2006 in Saudi Arabia and in 2019 in the United States, yet both began in March 2003 and bottomed in the global low of March 2020. Minor discrepancies among sub-waves reflect local variation but do not disrupt the synchronization of primary troughs (see chart 1 above).
 
Chart 2: S&P 500 (red) versus Commodity Price Index from 1789 to 2025.
 Chart 2.1: Commodity Price Index and S&P 500, both from 1800 to 2025.
 
Chart 2: S&P 500 (red) versus Commodity Price Index from 1789 to 2025.
Chart 2.2: S&P 500 (red) versus Commodity Price Index from 1800 to 2025.

Longer-term studies, including continuous commodity prices and the S&P 500 since 1800, show that over 90 percent of cyclical troughs align temporally across instruments (see charts 2.1 and 2.2 above). 

Chart 3: Soybeans (yellow) versus the Saudi Stock Exchange Index (Tadawul) from 2000 to 2025.
Chart 3: Soybeans (yellow) versus the Saudi Stock Exchange Index (Tadawul) from 2011 to 2025.

Chart 4: German Dax (yellow) versus the Saudi Stock Exchange Index (Tadawul) from 1980 to 2025.
Chart 4: German Dax (yellow) versus the Saudi Stock Exchange Index (Tadawul) from 1994 to 2003.

Even unrelated markets, such as soybean prices and the Saudi stock index (Tadawul), demonstrate strong temporal correspondence (chart 3 above). Comparisons of the German DAX and Saudi index (chart 4 above) reveal synchronization across multiple cyclic levels—the 18-month, 54-month (Kitchin), and 9-year (Juglar) waves—further confirming a unifying global force.
 
“And all the inhabitants of the earth are reputed as nothing: and He doeth according to His will in the army of heaven, and among the inhabitants of the earth: and none can stay His hand, or say unto Him, What doest Thou?” The Holy Bible, Daniel 4:35 (KJV).
 Prophet Daniel (Daniyal) in the Lions' Den (Daniel 6:16–23, KJV).
And all the inhabitants of the earth are reputed as nothing: and He doeth according to His will
in the army of heaven, and among the inhabitants of the earth: and none can stay His hand,
or say unto Him, What doest Thou? The Holy BibleDaniel 4:35 (KJV). 
 
Hurst’s Principle of Commonality thus affirms a single, synchronized force governing the timing of major and minor cycles, while local factors shape amplitude and peak positions. This robust alignment, persistent across centuries and diverse instruments, confirms that cyclical patterns are not random but manifestations of an underlying order.

“Is He not best who begins creation and then repeats it, and who provides for you from the heaven and the earth? Is there a deity with Allah? Say, ‘Produce your proof, if you should be truthful.’”  The Holy Qur’an, Surah An-Naml (The Ants), 27:64.
Is He not best who begins creation and then repeats it, and who provides for you from the heaven
and the earth? Is there a deity with Allah? Say, ‘Produce your proof, if you should be truthful.’ 
The Holy Qur’an, Surah An-Naml (The Ants), 27:64.
 
Today, we can confidently state that in this article we have presented our proof of a mysterious, dominant, and single force behind almost all fluctuations in human affairs. We can only ask God to grant us wisdom to recognize His design and join us with the righteous after we fulfill our appointed term in harmony with His will.
 

Thursday, October 9, 2025

The Dow-to-Gold Ratio (DJI/XAU) Collapses: Get Ready for Tangible Assets

The Dow-to-Gold ratio (DJI/XAU) measures how many ounces of gold are needed to buy the Dow Jones Industrial Average. It is used as a long-term indicator of monetary confidence, where a falling ratio shows a shift in real value away from paper assets (cash, bonds, stocks) towards tangible assets like gold, silver, platinum, palladium, rhodium, copper (metals), oil, lumber (energy), and real estate.

Dow-to-Gold Ratio (DJI/XAU) from 1897 to 2025 (quarterly bars, log scale; chart credit: Francis Hunt.)
 Although the Dow has gained roughly 250% in dollar terms since 2000, by Q4 2025, 
its real value has declined by about two-thirds when measured in gold.
 
Over the last century, the Dow-to-Gold ratio has oscillated between periods of equity confidence and monetary stress. In 1929, the ratio peaked at roughly 18.63 before collapsing below 2 during the Great Depression. It reached about 28 in 1966, then fell below 1 in 1980 amid high inflation and currency instability. 
 
Dow-to-Gold Ratio (DJI/XAU) from 1800 to 2020 (quarterly values, log scale).
 
At the 1999–2000 peak, the Dow equaled approximately 45 ounces of gold—its highest in over a century. As of October 2025, the ratio is near 12, a decline of about 73% from that peak. The drop was steep from 2000 to 2011 (reaching a ratio near 6), followed by a rebound to about 20 by 2018, and renewed erosion thereafter. Over that period, gold has outperformed equities in real terms.
 
 

Thursday, October 2, 2025

Unlocking the "Years-Ending-in-5" Market Signal | Jake Bernstein

One of the most reliable patterns I’ve observed in markets appears in years ending in the number five. It is simple: take the January high of the Dow Jones Industrial Average. If the market records two consecutive monthly closes above that high, history shows a strong rally often follows into early December or even year-end. This is a purely mechanical setup; without the two closes, the pattern remains dormant.

Detrended Weekly Seasonal Composite Future chart for the S&P 500 from 1942 to 2024.

Looking back, the results are striking. In 1995, the trigger led to a more than twenty percent advance. 1985 produced roughly fifteen percent, 1975 seven to ten percent, and even 1965, after a brief pullback, ended higher by about five percent. Earlier examples include 1955 with fifteen percent, and 1935 and 1945 each with nearly thirty percent rallies. Not every “five” year triggers the setup—as in 2005 and 2015—but when it does, the outcome has consistently favored the bulls.

 Dow Jones (monthly bars), 2025.
» If the market records two consecutive monthly closes above the January high, history shows a strong rally often follows into year-end. This is a purely mechanical setup; without the two closes, the pattern remains dormant. « 
In 2025, we already have one monthly close above the January high [¿?]. If October confirms with a second [¿? would be the third], the trigger will be set. With only November and December remaining, history suggests that these final months could deliver substantial gains, just as in previous “five” years.

Not every “5” year produces a trigger (e.g., 2015, 2005),
but when it does, the outcome has often been significant.
 
The pattern is neither perfect nor guaranteed, but the Dow’s record demonstrates that when it occurs, the probabilities strongly favor a significant year-end advance.

Reference:
Jake Bernstein (October 2, 2025) - Unlocking the Years-Ending-in-5 Market Signal. (video)

Detrended Weekly Seasonal Composite for the S&P 500 from 2001 to 2025.

See also: