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"

Samuel Benner (1832–1913), a once-prosperous farmer in Lawrence County, Ohio, whose wealth was destroyed by a devastating hog cholera epidemic and the Panic of 1873, devoted the remainder of his life to identifying recurring patterns in economic booms and busts. Through exhaustive analysis of commodity prices—specifically provisions (pork products such as bacon, ham, mess pork, lard, and salted pork), live hogs, corn, cotton, and pig iron (later also wheat and railroad-stocks)—he published "Benner's Prophecies of Future Ups and Downs in Prices" in 1876, a work that formed the basis for his annual forecasts through 1907.
  
» Periods When to Make Money. «   The original 1872 business card of George Tritch Hardware Co., Denver, Colorado, is the focus of an ongoing controversy regarding its true origin—whether it was genuinely created by Tritch or popularized by Benner three years later in 1875.
 » Periods When to Make Money. « The original 1872 business card of the George Tritch Hardware Co. in Denver, Colorado—which was copyrighted in 1883 and 1897—is the focus of an ongoing controversy: Was it genuinely created by Tritch, or was it simply plagiarized and popularized by Benner four years later in 1876?
 
Benner’s approach was empirical, grounded in price data from 1780 to 1872, and used to extend projections far into the future by emphasizing recurring cycles in commodity prices and business activity. He treated these cycles not merely as descriptive patterns but as prescriptive guidance, advising investors on when to buy during "hard times" and when to sell during "good times."
 
Benner's model identified nested cycles influencing commodity prices, agricultural yields, and broader business conditions. Central to his framework are the following patterns:  ■ 27-Year Cycle in Pig Iron and Cotton Prices: Analyzing data from 1833 to 1899, Benner observed high prices following an ascending arithmetic progression of 8, 9, and 10 years, repeating every 27 years. Low prices, conversely, followed a descending series of 9 and 7 years. This cycle captured the volatility in industrial commodities like pig iron, which Benner viewed as a bellwether for economic health, given iron's role in manufacturing and infrastructure. ■ 11-Year Cycle in Corn and Hog Prices: Beginning in 1836, this cycle alternated between 5- and 6-year sub-periods, reflecting fluctuations in agricultural staples. Benner broke it into peaks and troughs that aligned with seasonal and weather-related disruptions. ■ Business Cycle with 16-18-20 Year Peaks: Extending his commodity analysis, Benner described a broader 11-year business rhythm, characterized by peaks spaced 16, 18, and 20 years apart. Lows coincided with pig iron troughs, while panics occurred at intervals averaging 9 years (7-11-9 pattern, akin to the Juglar cycle). Every third peak aligned roughly every 54 years, echoing longer waves like those later formalized by Nikolai Kondratieff.  These cycles formed a hierarchical structure: shorter oscillations (5–11 years) drove immediate price swings, while longer ones (27 and 54 years) shaped multi-decade eras of prosperity or contraction. Benner integrated them into a single chart, forecasting "ups and downs" with directives such as "Years of Good Times: High Prices and the Time to Sell" for peaks and "Years of Hard Times: Low Prices and a Good Time to Buy" for troughs.

Benner's time-price model identified nested peaks and troughs in commodity prices, agricultural yields, and broader economic conditions. 
Central to his framework were the following patterns:

27-Year Cycle in Pig Iron and Cotton Prices: Analyzing data from 1833 to 1899, Benner observed high prices following an ascending arithmetic progression of 8, 9, and 10 years, repeating every 27 years. Low prices, conversely, followed a descending series of 9 and 7 years. This cycle captured the volatility in industrial commodities like pig iron, which Benner viewed as a bellwether for economic health, given iron's role in manufacturing and infrastructure.
11-Year Cycle in Corn and Hog Prices: Beginning in 1836, this cycle alternated between 5- and 6-year sub-periods, reflecting fluctuations in agricultural staples. Benner broke it into peaks and troughs that aligned with seasonal and weather-related disruptions.
Business Cycle with 16-18-20 Year Peaks: Extending his commodity analysis, Benner described a broader 11-year business rhythm, characterized by peaks spaced 16, 18, and 20 years apart. Lows coincided with pig iron troughs, while panics occurred at intervals averaging 9 years (7-11-9 pattern, akin to the Juglar cycle). Every third peak aligned roughly every 54 years, echoing longer waves like those later formalized by Nikolai Kondratieff.

 Benner's astronomical time-price cycles theory.

These cycles formed a hierarchical structure: shorter oscillations (5–11 years) drove immediate price swings, while longer ones (27 and 54 years) shaped multi-decade eras of prosperity or contraction. Benner integrated them into a single chart, forecasting "ups and downs" with directives such as "Years of Good Times: High Prices and the Time to Sell" for peaks and "Years of Hard Times: Low Prices and a Good Time to Buy" for troughs.
 
 For 2025, Benner’s cycle predicted the US stock market driving higher, for 2026, it 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"). 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.
 » "B." [2026] Years of Good Times. High Prices and the Time to Sell Stocks and Values of All Kinds. « 
For 2025, Benner’s cycle predicted the US stock market driving higher; for 2026, it forecasts a major 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"). 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. 
Benner attributed these periodicities to celestial mechanics, positing that solar system dynamics influenced earthly economies. He aligned his 11-year cycle with Jupiter's major equinox, which recurs every 11.86 years—a near-match to observed corn, hog, and business fluctuations from 1836, 1847, 1858, and 1869. Jupiter, in his view, served as the "ruling element" in natural product price cycles, potentially modulated by electromagnetic influences from Uranus and Neptune on Saturn and, in turn, Earth.

This astro-economic perspective echoed earlier hints by English economist William Stanley Jevons, who suggested in 1843 planetary configurations might underpin business cycles but abandoned the idea amid academic opposition. Modern interpretations extend this to lunar phases and solar activity (e.g., nodal precession, sunspot cycles), though Benner's original emphasis remained on observable price data rather than strict astronomy and astrology.
   
Benner's Cycle Forecast for the Period 2015–2035.
Benner's Cycle Forecast for the Period 2015–2035.

In 1948, Edward R. Dewey, director of the Foundation for the Study of Cycles, updated and reprinted Benner’s work as the Foundation’s "Reprint No. 24". He lauded Benner’s pig-iron forecasts over the 60-year period from 1875 to 1935 for achieving a gain-to-loss ratio of 45:1, deeming it one of the most reliable business charts despite numerous imitations by lesser-known authors. Proponents cite alignments with major events: the cycle's "B" peaks (high-price euphoria phases) approximated the 1929 stock market top preceding the Great Depression, the 2000 dot-com bust, and the 2007 pre-financial crisis summit—often within 1–2 years. 
 
Edward R. Dewey (1967) considered the true length of Benner’s pig iron price cycle to be 9.2 years and thus his "forecast got off the track by one year every five waves. By 1939 his projection was no longer usable."  In 1971 Dewey commented: "Were Benner still alive and issuing yearly supplements to his Prophecies, he probably would have learned all that was necessary to know about cycles of fractional length and would have adjusted later forecasts accordingly."
Edward R. Dewey (1967) considered the true length of Benner’s pig iron price cycle to be 9.2 years and thus his "forecast got off the track by one year every five waves. By 1939 his projection was no longer usable."  In 1971 Dewey commented: "Were Benner still alive and issuing yearly supplements to his Prophecies, he probably would have learned all that was necessary to know about cycles of fractional length and would have adjusted later forecasts accordingly." 
However, scrutiny reveals nuances: Benner's original chart, rooted in agriculture (which comprised 53% of the US economy in the 1870s), projected a 1927 high and 1930 low, not the exact 1929–1932 Depression timeline. A sensational 1933 Wall Street Journal article, designed to attract attention, altered Benner’s original cycle dates for dramatic effect, thereby fueling persistent misconceptions (see chart below).
 
Benner's original chart, rooted in agriculture (which comprised 53% of the US economy in the 1870s), projected a 1927 high and 1930 low, not the exact 1929–1932 Depression timeline. A 1933 Wall Street Journal reproduction altered these dates for dramatic effect, fueling misconceptions.
 
Martin Armstrong recently contended that Benner’s cycle was 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 ?

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