Showing posts with label Stock Market. Show all posts
Showing posts with label Stock Market. Show all posts

Monday, December 1, 2025

2026 High in the Benner Cycle | "Time to Sell Stocks and Values of all Kinds"

"Benner's Prophecies of Future Ups and Downs in Prices" was authored by Samuel T. Benner and first published in 1875. Benner was an Ohio farmer who, after suffering heavy losses during the Panic of 1873, became intensely interested in the recurring patterns of economic booms and busts. 
 
 » Periods When to Make Money. «  Original business card of George Tritch Hardware Co., 1872.

Through his studies, he identified repeating 8-9-10, 16-18-20, and 27-year cycles that he believed aligned with both lunar cycles, solar activity, and major economic turning points. According to analyses of historical events, his forecasts achieved roughly 90% accuracy (more background HERE). For 2025, Benner’s cycle predicted the US stock market driving higher. For 2026, Benner's chart forecasts a major stock market top: "High Prices and the Time to Sell Stocks and Values of All Kinds" into 2032 ["Years of Hard Times, Low Prices, and a Good Time to Buy Stocks"].   

 » "B." [2026] Years of Good Times. High Prices and the Time to Sell Stocks and Values of All Kinds. «  
  
Benner Cycle Forecast for the Period 2015–2035.

In Benner's projection 2026 is marked as a "B" phase year — a peak of high prices and euphoria, often the culmination of a bull market before a shift to downturns. Historical "B" peaks have aligned (often within 1-2 years) with major tops like: 1929 (Great Depression peak), 2000 (dot-com bubble), 2007 (pre-2008 crisis), and others. 2026 is the final peak year, and should be followed by underperformance or bearish conditions into 2032.
 
 
Martin Armstrong contends that Benner’s cycle is more a historical curiosity than a reliable predictive tool, noting that it has been both right and wrong many times: 
 
The claim that Benner’s Cycle predicted the Great Depression is false. The chart [above] that was published in the Wall Street Journal altered Samuel Benner’s cycle, which was based on agriculture. It predicted a high in 1927, not 1929, and the low in 1930, not 1932. Claims that Benner’s work calls for a crash in 2025 are flat-out wrong. His target years would be 2019 and 2035, based on his data, not the altered, fake news published by the Wall Street Journal in 1933.
 
Benner was a farmer. Applying his cycle to the economy today is no longer effective, any more than the Kondratieff Wave. Both were based on the economy, with agriculture being the #1 sector. As the Industrial Revolution unfolded, those cycles remain relevant for commodities, but not the economy. Agriculture, when Benner developed his model, accounted for 53% of the economy. Today it is 3%. If they were alive today, they would have used the services industry. Capital flows are still pointing to the dollar, given the prospect of war and sovereign defaults outside the USA.

Friday, September 19, 2025

Fed Cuts, Banks Cash In, Main Street Bleeds, Stocks Rise | Oscar Carboni

Jerome Powell cut rates by a quarter point. Big deal? Not for Americans paying 8% mortgages. Banks borrow from the Fed at 4% and lend at nearly double. Every cut fuels their spread, no relief for homebuyers. Bond market moves by banks erase any Fed benefit.

» Every time the Fed lowers rates, banks push down the bond market, which drives mortgage
rates right back up. We saw this earlier this year: bonds get hammered, rates climb. «
 
Main Street loses. Wall Street profits. This loop has repeated for months. Powell’s cuts can’t counteract bond manipulation. And the bigger risk looms: in past crises—2008, COVID—near-zero rates saved the system. Burn through cuts now, and the Fed has less firepower when the next shock hits.

» Bonds don’t look good, but the S&P, NASDAQ, Russell, Bitcoin, even real estate—all look strong.
Lower rates push asset prices higher. So we’ll trade dips, especially in Bitcoin, and ride the trend. «

Traders, however, see opportunity. Even tiny rate cuts flood liquidity into markets. Equities, crypto, real estate—they all get a boost. S&P, NASDAQ, Russell, Bitcoin—buy dips, ride the rally. Bonds remain toxic, but risk assets thrive. Cuts inflate prices, but housing stays out of reach.

The solution is simple: cap lending spreads. If banks borrow at 4%, mortgages shouldn’t exceed 6%. Without it, the Fed's moves only fuel asset inflation while Main Street bleeds. Until reform arrives, liquidity drives traders’ gains while banks run the bond market—and Americans pay the price. The Fed may cut, but the real game is elsewhere.

Reference:
 
» When the Fed cuts with the S&P <2% from ATH (13x since ’90), the next 30 days is a coin flip (6 up/7 down).  3-months out has almost a perfect record: 12/13 up with the last and only loss in 1990. Recent four 3-month gains: +6.2%, +5.9%, +7.7%, +1.6%. «
Mark Minervini, September 19, 2025.
 
See also:

Friday, October 14, 2022

Chinese Stock Indices, Gann Time Theory & Solar Terms | Tianbao Zhou et al.

Stock indices proved to be rather predictable to some extent. Therefore, according to the study, investors can invest in ETFs that belong to the indices as an ETF is completely coincidental with the index it belongs to. Furthermore, ETFs provide investors with a variety of options of risk and profit. The Shanghai ETF is smooth whereas the Second Board 50 Fund fluctuates a lot. Investors are able to get a high profit from individual stocks as well through implementing the results of this study. The correlation between the turning points of indices and the Chinese 24 solar terms was positive (r = 0.9878).

Turning points always occur near solar terms. Through testing n-day extreme points with a different n value, the sharp turns of the trend often happened near the solar terms, and if we choose 4 days as the valid time radius, the probability is about 80%. Investors should be alert for four days before and four days after a solar term. If the price is too high (low), it is more likely to be affected by the coming solar term, and the higher (lower) the price is, the more instability the trend then would have. However, solar terms are not always strong turning points, but they might cause weaker turning points. In other words, solar terms might not cause a sharp reversal of the stock trend; strong turning points were just some exceptions. Usually, the turning points were not that strong but sufficient for medium-term and short-term investors. The alert period provided investors with a good strategy for short-term and medium-term trading. When judging the upcoming reversal, it should be dynamic. 
 
 
[...] Eight of the Chinese 24 solar terms are very prominent, namely, Chunfen (6), Xiazhi (12), Qiufen (18) and Dongzhi (24), which represent the most vigorous time-points in each season and are the most important four solar terms; the other four are Lichun (3), Lixia (9), Ligiu (15) and Lidong (21). These four represent the beginning of each season and are the second important four solar terms.
 

To our surprise, the importance of these eight solar terms exactly coincides with the wheel of the cycle theory in Gann theory. In Gann’s wheel, the most important four angles are 90°, 180°, 270° and 360° (0°), and the corresponding time-points of each year are exactly the four solar terms of Chunfen (6), Xiazhi (12), Qiufen (18) and Dongzhi (24). The second important four angles, 45°, 135°, 225° and 315° exactly correspond to the four solar terms of Lichun (3), Lixia (9), Liqiu (15) and Lidong (21). Regardless of the angle in Gann theory or solar terms, they all point to a common rule, that is, the stock trend is most likely to turn at these eight points. We can summarize the above results as follows: variable or more significant extreme points often occur at the solar term point, and the solar term point usually makes the stock trend turn according to its strength, and the turning strength is large or small.
 
[...] the Chinese traditional culture, human society is affected by natural factors at every moment, and one of the factors is time (including the time cycle, time-points and time periods). Despite the fact that the absolute price of a stock is generally supposed to be unpredictable, the turning points and reversal of trend of stock indices have rules to follow. 
 
Gann theory suggests that the cycle of time is almost everywhere in the stock market, like our pulse cycle and four seasons of the year. Nobody denies the existence of the time cycle as it retains its rationality and regularity in the nature. Whether or not we know, the regular shocks and vibrations in the stock market caused by time do happen.

[...] we only analyzed the trend and turning points of the Shanghai Index rather than a certain stock or an absolute stock price. We supposed that the index is a wide and general performance of the stock market which eliminates many extreme and irregular cases. Many theories have focused on calendar effects, and all of them show the effort in searching for the independent time factors over regular human factors that may affect the stock market. However, such a division of time is so modern that the turns do not always fall on them. 
 
Besides the solar terms, in China, we have 12 zodiacs (corresponding to a 12-year cycle), lunar months (corresponding to the monthly change of the moon), 10 heavenly stems and 12 earthly branches as well as the constellation of both the Chinese version and the Western version. Thus, we can see that throughout the history, ancient people were always doing tremendous work in summarizing many kinds of time cycles in order to survive, forecast and develop their civilization.
 
 As early as the Spring and Autumn Period (770–476 BC), Chinese ancestors had already established two major solar terms, ri nan zhi (日南至 'Sun South Most') and ri bei zhi (日北至 'Sun North Most'). As of the end of the Warring States Period (475–221 BC), eight key solar terms (Start of Spring, Vernal Equinox, Start of Summer, Summer Solstice, Start of Autumn, Autumnal Equinox, Start of Winter and Winter Solstice) marking the four seasons, were established according to the different positions of the sun and changes in natural phenomena. The rest of the solar terms were initiated in the Western Han Dynasty (206 BC–24 AD). Hence most terms refer to the climate of Xi'an, capital of the Han Dynasty.

[...] The 24 solar terms in each year and their links accurately fitted the trend of the stock in that year. Using 24 price data-points instead of nearly 250 daily data-points of the whole year could make the daily data of high frequency more concise and easier to process. With 250 high-frequency daily data-points, there is strong volatility, which leads to the obvious heteroscedasticity of the data and increases the complexity of data analysis. 
 
The use of 24 solar terms instead of annual data also greatly reduces this unstable and irregular fluctuation. This also coincides with Gann theory. The forecast of future trends in the all-terms group and the eight-terms group was precise, but there remained a gap with the absolute price. We were only able to forecast the time-points and the turning points; as for the absolute price, we hardly made it. This is because the stock market involves a great deal of instability and is extremely complicated.



[...] as we were inspired by Gann, Elliott and the Chinese 24 solar terms, we would rather look for those that do not change, and that is the key to have a better understanding and cognition of our real world, of course, including the stock market. For this reason, it is the higher dimensional time factor and time cycle that produce an overwhelming impact on the stock market, so it reminds us of taking into account the importance of time when conducting such a study. That is why Gann summarized a tremendous amount of time periods to inform the possible reversal in the capital market while the ancient Chinese figured out 24 divisions of a year as 24 solar terms which all solely point to time.

In addition, the ancient Chinese elaborated a complex system, and there are actually many  other divisions of time, years, months, etc. in the Chinese culture. For example, the ten heavenly stems and the twelve earthly branches decide what a year would be like, and that is a 60-year cycle as there are 60 different combinations of one out of the ten heavenly stems with one out of the twelve earthly branches. By the way, one combination is called Gengzi, which is supposed to be the year of disasters and conflicts; the latest Gengzi year was 2020.

 
 

"Periods When to Make Money" | Benner Cycle Projection into 2023 Major Low

Samuel Benner was a prosperous American farmer who was wiped out financially by the 1873 panic and a hog cholera epidemic. In retirement, he set out to establish the causes and timing of fluctuations in the economy.
 
» If you had used these dates for trading, your percentage gains 
between 1872 and 1939 would have been 50 times your losses! «
 Edward R. Dewey, 1967.

Samuel Benner Cycle Forecast 2015–2035.

In 1875 he published a book called "Benner's prophecies of future ups and downs in prices" forecasting commodity prices for the period 1876 to 1904. Many - not all - of these forecasts were fairly accurate. The Benner Cycle includes:

A (upper line): "Years in which Panics have occurred and will occur again." A 54 year cycle alternating every 18, 20 and 16 years.
B (middle line): "Years of Good Times, High Prices and the time to sell Stocks and values of all kinds." Cycles alternating every 8, 9 and 10 years.
C (lower line): "Years of Hard Times, Low Prices, and a good time to buy Stocks, 'Corner Lots', Goods, etc, and hold till the 'Boom' reaches the years of good times; then unload". A 27 year cycle in pig iron prices with lows every 7, 11, 9 years and peaks in the order 8, 9, 10 years (B - middle line).
 
Benner's cycle projections align with the latest analysis of the "Foundation for the Study of Cycles" and are pointing to a major stock market low in the US in 2023. David Hickson's Hurst cycle analysis projects this low to March of 2023 and Martin Armstrong to April 11, 2023 (Tue).
 
 » Periods When to Make Money «  - The original business card of George Tritch Hardware Co. 
The diagram was apparently compiled by George Tritch in 1872, but Samuel Benner did not attribute it to him in 1875.
 
The "Periods When to Make Money" chart, attributed to George Tritch’s Hardware Co. in 1872, is a fascinating artifact in the history of financial cycle analysis. This chart, often referred to as the Benner Cycle due to Samuel Benner’s 1875 publication "Benner’s Prophecies of Future Ups and Downs in Prices," attempts to predict market cycles by identifying periods of panic, prosperity, and low prices. The controversy over its origin—whether it was truly Tritch’s creation in 1872 or popularized by Benner in 1875—highlights an interesting debate about attribution and influence in early financial forecasting.

Tritch’s business card, reportedly compiled in 1872, predates Benner’s book, suggesting he may have been the original architect of the cycle model. The chart categorizes market phases into three types: panic years (A), good times for selling (B), and hard times for buying (C), with cycles of 16/18/20 years for panics, 8/9/10 years for peaks, and shorter cycles for bottoms. Its simplicity and alleged predictive power, reportedly aligning with events like the Great Depression, the Dot-com Bubble, and the 2008 Financial Crisis, have kept it relevant among some investors, despite skepticism about its scientific basis.
 
However, Benner’s 1875 publication, which expanded on these ideas and tied them to commodity price cycles (e.g., 11-year cycles for corn and pigs, 27-year cycles for pig iron), gained more prominence, possibly overshadowing Tritch’s earlier work. Benner’s focus on solar cycles and planetary influences, as noted in some analyses, adds a layer of financial astrology that critics argue lacks empirical rigor. This has led to mixed views: some praise the chart’s historical accuracy, claiming a 7,939% return from 1872 to 2020, while others, like David McMinn, note its declining reliability post-1870s, with false predictions in 1965 and 1999.
 
The lack of attribution by Benner to Tritch raises questions about intellectual credit, possibly due to the chart’s informal distribution on a business card rather than a formal publication. This oversight, intentional or not, underscores the chaotic nature of early financial theory development, where ideas often spread through informal channels. The chart’s enduring appeal lies in its simplicity and cyclical view of markets, resonating with those seeking patterns in economic chaos, but its reliance on outdated assumptions (e.g., planetary influences) and inconsistent accuracy suggest it’s more a historical curiosity than a reliable tool. Modern investors are better served by combining such models with robust data-driven strategies, as the chart’s performance significantly trails a simple buy-and-hold approach ($5,432 vs. $62,414 from 1904 to 2023).
  
Reference:
 

Friday, April 13, 2018

Critical Degrees and Change of Trend | George Bayer (1937)


Source:
Detecting the Change of Trend by Means of Critical Degrees. In:
George Bayer (1937): Time Factors in the Stock Market; Carmel, California; pp. 69-72. 

S&P 500 Index vs George Bayer’s Critical Degrees of Mars
@ 0° @ 5° @ 17° @ 25° of each Zodiac Sign | April 17
(Tue) High ?

Enlarge

Tuesday, January 31, 2017

Stock Market Capitalization as a Percentage of GDI | 1925 - 2016


Total market capitalization (TMC) of the stock market as a percent of Gross Domestic Income (GDI) is 126%, the second highest in 100 years, only exceeded by 164% just prior to the 2000 tech bubble. This highlights the extreme extent of stock market distortion, which can largely be attributed to artificially low interest rates. Because stocks are an unusually large percentage of the economy, a stock market correction would undoubtedly stunt economic growth. Because the market is so high relative to GDI, corrections will have a greater negative impact on the economy. Furthermore, this ratio's lofty level illustrates just how overbought the stock market is in general, signaling the potentially precarious state of the markets (Chart: Ned Davis Research).

Wednesday, November 16, 2016

Tuesday, November 8, 2016

Share Prices from 1509 to 2016 | Tide in the Affairs of Men

There is a tide in the affairs of men.
Which, taken at the flood, leads on to fortune;
Omitted, all the voyage of their life
Is bound in shallows and in miseries.
On such a full sea are we now afloat,
And we must take the current when it serves,
Or lose our ventures.

William Shakespeare | Julius Caesar: Act 4, Scene 3, 218 – 224.


High Resolution *.pdf HERE | Source: HERE

Monday, May 23, 2016

The 162-Year Cycle in Stocks and Commodities Since 1509 | Ahmed Farghaly

The chart below begins at the millennial low of 1555, followed by a remarkable sequence. I first discovered the 162-year cycle by drawing a trendline between two consecutive lows of the 54-year cycle—specifically, the lows of 1842 and 1896. A break in such a trendline suggests that a larger cycle has turned, and indeed, the trendline was broken during the 1929–1932 crash. 
  
Stock Prices from 1509 to 2013, and 162-Year cycles into 2094.
 
This provided an early indication of the 162-year cycle’s presence. I identified it as a 162-year cycle because the first 54-year cycle used to draw the trendline marked a rally following a bear market that lasted 64 years, making it an ideal starting point. I then confirmed this hypothesis by examining wheat prices and, later, commodity prices, which led me to conclude that the existence of the 162-year cycle is no longer a hypothesis but a fact.
 
 The combined chart offers further evidence of this cycle’s presence. Notice how neatly the first 324-year cycle subdivides into two 162-year cycles, with the trough of the 162-year cycle occurring precisely in the middle of the 324-year cycle. 
 
Upon closer inspection, both 162-year cycles subdivide into three 54-year cycles, reinforcing the conclusion that the Kondratieff wave is the third harmonic of the 162-year cycle. After the trough in 1784, three 54-year cycles followed, ending with the crash of the late 1920s, which marked the trough of the 162-year cycle. 
 
What followed was the greatest bull market in modern history—and it is unfortunate that we are nearing its end. The peak of the last 324-year cycle occurred in the third 18-year cycle of the second 54-year cycle of the second 162-year cycle, which is where we find ourselves today. The likelihood of further translation beyond the previous 324-year cycle is slim, given that the influence of the 972-year cycle has leveled out since the 1930s.

The Elliott Wave structure is also quite interesting. What stands out on the chart is the fact that the entire advance since 1784 featured a fifth-wave extension. Even more intriguing is that the move from 1932 also included a fifth-wave extension. According to wave theory, fifth-wave extensions are typically followed by crashes. Commodities offer excellent examples of this phenomenon, as their dramatic declines often result from a fifth-wave extension.
 

Tuesday, September 8, 2015

Peak Everything: Bonds - Equity - Real Estate

Credits: Deutsche Bank
Looking at three of the most important assets (bonds, equities and housing) across 15 DM countries, with data often stretching back two centuries, we are currently close to peak valuation levels relative to history. Indeed when aggregated, current levels are higher on average across the three asset classes than they were back in 2007/08 and certainly higher than in 2000. At the equity market peak back in the summer months of 2015 we were pretty much at the peak. Source: Deutsche Bank (2015)  - Long-Term Asset Return Study.