Showing posts with label Data Mining. Show all posts
Showing posts with label Data Mining. Show all posts

Monday, April 20, 2026

DJIA 2026 vs Top Three Midterm Correlated Years Since 1886 | @Fiorente2

Plotting all 35 midterm-election years for the DJIA since 1886, the spread of outcomes is enormous: In difficult midterm years, the DJIA has fallen by as much as 25% (1966), while in stronger years it has gained up to 45%. The average of ±2% is likely the most realistic expectation right now, given the current environment.
 
Chart 1: DJIA 2026 versus the Top Three Midterm Correlated Years:
1898 = approx. +20% (correlation 0.764)1926 = ended the year flat (0.716)1966 = approx. -20% (0.826)

However, to get a sharper view, the three midterm years with the highest correlation to 2026 DJIA performance (from January through last week) were selected and charted: 1966, 1926, and 1898 (Chart 1).  
  • 1966 has the strongest correlation (0.826).  
  • 1898 (0.764) is the bullish outlier: if 2026 follows that path, the market could go bazooka from here.  
  • 1926 (0.716) sits in the middle, and curiously, its path aligns with the average of the top three.
 
Chart 2: DJIA 2026 vs 1966 and Top Three Composites. In 1966, the DJIA printed its yearly low in early October.
  
Each of these years carries its own resonance: 
  • In 1898, the US was just emerging as a global power through victory in the Spanish-American War. 
  • In 1926, an industrial revolution was reshaping the economy. 
  • In 1966, tariffs, war, inflation, and a punishing midterm election defined the landscape.  
The bias points toward 1966 (Chart 2): The correlation is the strongest, and the themes are too close to ignore: tariffs, a costly overseas conflict with no clear exit, inflation concerns, and a midterm election that may punish the incumbent party. 
 
 
Berkshire Hathaway's cash position has risen to a record above $370B, underscoring a scarcity of attractive valuations and ongoing reductions in holdings such as Apple. Warren Buffett has described recent market pullbacks as modest relative to historical downturns, drawing parallels to the elevated cash levels he maintained ahead of the 1999 dot-com crash and the 2007 financial crisis—periods when major equities ultimately fell by 80–90%.
See also:

Thursday, April 16, 2026

S&P 500 After Rapid 10% Gains: +17% Avg One-Year Return | Alex Krainer

Historical S&P 500 data shows that sharp 10% rallies over a 10-day span tend to exhibit strong follow-through. On average, returns have been approximately +0.6% after one week, +2.5% after one month, and +17% over the following year.

Rapid 10%+ bounces in the S&P 500 (weekly candles), 1980 to 2026.

A review of the weekly S&P 500 chart from 1980 to 2026 highlights multiple instances of these "rapid +10% bounces," marked by green and red arrows. In most cases, these moves were followed by continued upside, though there were notable exceptions—such as the period around 2000.
 
Alex Krainer argues that the current setup differs meaningfully from the 2000  episode. He notes the absence of broadly synchronized overbought conditions among megacap stocks today, and emphasizes that the more significant declines in 2000 occurred only after the index had already fallen below its 40-week moving average.
 
S&P 500 RSI readings above 70 have led to pullbacks in 8 of the last 10 cases over two years, with the other two resulting in flat consolidation. The daily chart (May 2024–April 2026) marks these signals with red arrows for pullbacks and one green arrow, alongside recent price action near 7,000. This suggests an 80% likelihood of a near-term pullback, though prior corrections since the 2025 rally have been relatively mild.
 

Jeffrey Hirsch notes that the S&P 500's 7.57% gain in the first 10 trading days of April 2026 ranks as the second-strongest start to April since 1950.

Gains averaged +10.8% for the rest of the year, with full-year returns positive in 91.7% of cases (+16.2% avg.).

Historically, such powerful early-April momentum has been a bullish signal: in 20 of 24 comparable cases (83.3%), the market delivered further gains over the remainder of the year, with an average advance of +10.8%. Full-year returns were positive in 22 of those 24 instances (91.7%), averaging +16.2%. Hirsch’s data also segments April starts into performance tiers, with 2026 firmly in the top group—where subsequent returns have consistently outpaced those seen in the middle and bottom tiers.

Friday, April 10, 2026

DJIA Up in 77.3% of April OpEx Weeks Since 1982 | Jeff Hirsch

April's monthly option expiration is generally bullish across the board, with respectable gains on the last day of the week, the entire week, and the week after. Since 1982, DJIA has advanced 28 times in 44 years on monthly expiration day, with an average gain of 0.20%. 
 
DJIA has risen in 34 of the past 44 April options-expiration weeks (next week), with an average gain of 1.00%. The S&P 500 and NASDAQ also show strong seasonality, averaging weekly gains of 0.77% and 0.76%. Losses in 2022, 2024, and 2025 have tempered the longer-term averages. 
 DJIA Up in 77.3% of April OpEx Weeks since 1982.
 
 
S&P 500 Up in 65.9% of April OpEx Weeks since 1982.

S&P 500 has a similar record, also with 28 advances and an average advance of 0.15% on monthly expiration day. Monthly expiration day was trending solidly bullish after four or five declines from 2014 to 2018, but took hits in the 2022 bear market, 2024, and in 2025 due to Liberation Day tariff uncertainty.

NASDAQ Up in 63.6% of April OpEx Weeks since 1982.
 
Monthly expiration week also has a bullish track record over the past 44 years. Average weekly gains are +1.00% for DJIA, +0.77% for S&P 500, and +0.76% for NASDAQ. The bullish bias of April monthly expiration also persists during the week after, although average gains have not been as strong, with selling pressure rising (from 2018 to 2022). However, strength has returned since 2023. NASDAQ jumped 6.73% in the week after in 2025.
 April seasonality strong: 2nd-best month for DJIA and S&P; 4th for NASDAQ.
 April 2026 started solidly (+0.52% DJIA, +1.98% NASDAQ) despite geopolitical tension, rising energy costs, April 15 tax deadline.
 Historically, early April outperformed—since 1994, strength shifted to second half.
 Post–April 15 stronger (especially NASDAQ, Russell 2000).
See also:

Wednesday, March 25, 2026

April Stock Market Performance in Midterm Election Years | Jeff Hirsch

Over the past 21 years (solid lines in the chart below), April has exhibited a pattern of steady gains starting around April 7 (Tue)(Trading Day 5) and continuing through the end of the month, with only minor fluctuations along the way. Overall, it has generally finished positive across the board.
 

Midterm election years since 1950 (dashed lines) show strength from April 7 (Tue) through mid-April only, followed by choppy trading that typically ends the month flat or in negative territory.
 
Reference:
 
S&P 500 Midterm Election Year Seasonal Pattern, 1949-2024.
  

Wednesday, February 25, 2026

March Stock Market Performance in Midterm Election Years | Jeff Hirsch

Beginning on March 2 (Mon) (Trading Day 1), the US stock market historically follows two distinct paths. Over the recent 21-year period (solid lines in the chart below), March tends to open positively with modest gains through March 4 (Wed) (TD 3) before weakness leads to a sharp dip around March 9 (Mon) (TD 6). While indices typically move higher from March 16 (Mon) (TD 11), the NASDAQ and S&P 500 usually lead this recovery into the final close on March 31 (Tue) (TD 22).
 
March generally finishes positive across all major indices.
  
In contrast, Midterm Election years since 1950 (dotted lines) show significantly greater historical strength, potentially as a rebound from a typically tepid February. This cycle produces a front-loaded rally where R2K small caps flip from laggards to leaders, often outpacing S&P 500, DJIA, and NASDAQ. Strength generally persists until the Spring Equinox, reaching a seasonal peak on March 20 (Fri) (TD 15). After this point, indices tend to lose momentum and close out the month with choppy trading. Despite these differing mid-month trajectories, March has a 64% win rate, generally finishing positive across all indices.
 
Reference:
 
Det
rended VIX Seasonality (see also HERE).
 
 
 
 
Bank of America's Bull & Bear Index hit 9.3 on February 24, crossing the contrarian "sell" threshold above 8, indicating excessive optimism among global fund managers. Historically, such readings preceded median three-month drawdowns of 5.5% for the S&P 500, and 8.6% for the Nasdaq.
 See also:

Thursday, February 12, 2026

50% DJIA Gain Possible from 2026 Low to 2027 High | Jeff Hirsch

Historical data going back to 1914 shows that the Dow Jones Industrial Average has typically fallen about 20% from its peak in the year following a presidential election to its trough during the subsequent midterm year. Weakness has been most persistent in Q2 and Q3 of Midterm years. Regardless of the precise level reached, the advance that normally follows is a very attractive entry point for position traders (see tab and chart below).

% Change in DJIA between Midterm year Low and High of following year, 1914-2023.

Within the Four-Year Presidential Cycle, the most favorable phase begins late in the Midterm year: The strongest consecutive two quarters historically run from Q4 of the Midterm year into the Q1 of the Pre-Election year, delivering average gains of 46.3% for the Dow.
 
  S&P 500 Midterm Election Year Seasonal Pattern, 1949-2024.

Q2 of the Pre-Election year is also notably strong—ranking as the third-best quarter of the 
Four-Year Presidential Cycle—effectively extending this high-performance window to three quarters, from Midterm Q4 2026 through Pre-Election Q2 2027. 
 
Reference:
 
Q4 2026: Sweet Spot of the 4-Year Presidential Cycle.
Assuming the future will be but an averaged past (1973-2026).   

See also:

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 Dow Jones Industrial Average could easily rally almost 50% from the 2026 low to the high of 2027. On average it does. 
Data spanning back to 1914 reveals that the Dow Jones Industrial Average sees an average climb of 46.3% from its lowest point in a midterm year to its peak in the ensuing pre-election year. To put that growth into perspective with current market values, a jump of that size would be comparable to the index rising from 40,000 to nearly 60,000. 
 
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.

 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).
 
 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.
 
 » In the VI years there is a noticeable tendency to form a saddle.
February or March is without exception higher than some subsequent
 month between May and August inclusive; but also without exception
November is higher than March. « 

  
 
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.

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