Showing posts with label Business Cycle. Show all posts
Showing posts with label Business Cycle. Show all posts

Saturday, September 26, 2026

Economic Stagnation or Growth: Two Financial Systems | Richard A. Werner

Throughout his career as a banking economist, Richard Werner has provided empirical evidence that economic stagnation is not an inevitable condition of mature economies. The central issue is how the financial system creates and allocates credit. Productive credit can finance investment, technology, productivity, employment, and sustained high growth. Credit directed instead toward consumption, property, and financial assets fuels inflation, speculation, asset-price bubbles, and recurring financial crises. At the center of this system are central banks, major commercial banks, international financial institutions, and globalist financial elites whose interests and activities extend across national borders. Through their policies and institutional structures, these actors influence who receives credit, on what terms, for what purposes, and, ultimately, who controls the productive economy.
 
Fra Luca Pacioli and Leonardo da Vinci: two geniuses at work.
 
The problem is not simply high interest rates or inadequate government spending. It is the concentration of financial power and the deliberate structure of credit allocation. Globalist central bankers and financial institutions that place their international financial interests above national production, employment, and the common good are traitors to their own countries and to the national interest. The World Bank and IMF belong to this globalist international financial architecture. Banking crises are not merely disasters within this system; they are "opportunities for restructuring ownership, consolidating institutions, and transferring control." This language of systemic crisis as "windows of opportunity" for structural and ownership "reforms" appears explicitly in World Bank material.
 
When a bank makes a loan, where does the money come from? The answer is that banks create money out of nothing: no deposits or reserves are transferred, and reserves need not even be checked. The bank simply creates and credits the new money. Why doesn't the bank take a deposit? Because, in law, there is no such thing as a bank deposit. What is commonly called a deposit is legally a loan made to the bank by its client. Banks therefore take loans from clients rather than deposits. Nor, legally, do banks lend money. They purchase securities. A borrower's signed loan contract constitutes a promissory note—an IOU or debt instrument—which the bank purchases and records as an asset on its balance sheet. The corresponding "deposit" is simply the bank's newly created liability to the borrower: a record of what the bank owes. It is therefore a fictitious deposit in the conventional sense; legally, it is an accounts-payable liability arising from the loan contract, booked as a customer deposit.
 Economics Must Be Tested Against Reality
Mainstream economics has repeatedly constructed theories first and then treated their internal logic as evidence of truth. Ricardo's deductive methodology established this pattern: begin with a preferred conclusion, construct assumptions that produce it, build a model around those assumptions, and then treat the resulting logical conclusion as economic reality (Ricardian Vice). But logic is not truth. A logically consistent model can still describe a world that does not exist. The same problem extends across classical, Keynesian, neoclassical, post-Keynesian, monetarist, Wicksellian, and other schools that rely heavily on equilibrium constructions rather than direct empirical testing.
 
Paul Samuelson's principle of revealed preference points toward a more useful approach: watch what people and institutions actually do rather than what they say they do. The natural-science approach is therefore essential. Economic propositions should be confronted with data and tested against observable behavior. David Hendry's general-to-specific methodology provides one example: begin with a sufficiently general empirical model, test it against the data, eliminate what the evidence does not support, and retain relationships that survive rigorous testing.

Banks Create Money Through Double-Entry Bookkeeping—and Control Its Allocation
The conventional description of fractional-reserve banking obscures the central mechanism. Commercial banks do not simply collect existing deposits and lend that money onward. When a bank makes a loan, it simultaneously creates a deposit through double-entry accounting: the bank records a loan asset and a matching deposit liability.

» Opportunities for restructuring ownership, consolidating institutions, and transferring control. «
The Fractional-Reserve Credit Expansion Cycle.
 
This mechanism has been understood within banking for centuries but has rarely been made central to mainstream economic analysis. The accounting entries can make money creation appear merely to be a transfer when, operationally, new purchasing power has been created. That distinction matters because whoever controls bank lending controls the direction of newly created purchasing power. The crucial question is therefore not simply how much money exists, but where newly created credit goes.
 
Commercial banks do not simply take existing deposits and pass them on to borrowers. When a bank makes a loan, it creates a corresponding deposit: the loan appears as an asset on the bank's balance sheet, while the newly created deposit appears as a liability. The bank's balance sheet expands on both sides through a double-entry accounting operation.

Double-entry bookkeeping is crucial because it can obscure what is actually happening. Every entry has an offsetting entry, so the books remain perfectly balanced. The accounting identity can therefore make money creation look like a transfer between accounts rather than the creation of new purchasing power. The conventional story says that banks first obtain money through deposits and then lend those deposits. The opposing interpretation is that, in the act of lending, the bank simultaneously creates the loan and the deposit. The deposit did not previously exist; it is created as the counterpart to the bank's new loan asset.

This distinction matters because it determines how the banking system should be understood. If banks create deposits through lending, then credit creation is not merely the redistribution of pre-existing savings. It is the creation of new purchasing power, and therefore the allocation of bank credit becomes one of the central mechanisms determining what the economy produces. Double-entry bookkeeping does not make the money creation disappear; it records the creation in a way that keeps the balance sheet mathematically consistent. The loan and deposit are created together, with the debit and credit balancing exactly. The accounting system describes the transaction, but the balanced accounts can conceal the economic significance of the transaction itself.

That is why the question is not simply whether banks "have the money" to lend. The more fundamental question is what happens when a bank decides to create a loan, because that decision simultaneously creates a deposit and directs newly created purchasing power toward a particular use. The implications are enormous. If credit finances productive investment, it can fund technology, capital formation, productivity, employment, and economic growth. If it finances consumption, property, or financial speculation, it can instead generate consumer-price inflation, asset inflation, leverage, and financial crises.
 
 Productive Credit vs. Financial Inflation
The decisive issue is therefore not merely the quantity of money but who controls the creation of credit, how that credit is created, and where the newly created purchasing power is directed. Credit directed toward productive business investment creates a powerful economic chain: 
bank credit → business investment → technology → productivity → higher output → economic growth
A company borrowing to purchase machinery, develop technology, expand production, or improve processes can generate additional output that services the debt and increases national income. Credit becomes a mechanism for expanding productive capacity. 
  
Money and credit are not neutral tools that merely grease the wheels of commerce;
they are active instruments of statecraft and industrial design. High growth as 
a policy objective requires the right institutional and financial mechanisms.
 
The opposite occurs when credit primarily finances consumption or speculation. Consumption lending can push up consumer prices without increasing productive capacity. Lending against property and financial assets can inflate asset prices, encourage leverage, and eventually generate the conditions for financial crises. The distinction is therefore not simply between "more" and "less" credit. It is between productive credit and credit that inflates existing claims on wealth.

Japan's Income Doubling Plan and the Deliberate Creation of Growth and Wealth in the 1960s
Japan demonstrated what becomes possible when financial policy is directed toward structural transformation and productive expansion. Initiated by Prime Minister Hayato Ikeda in 1960, the Income Doubling Plan was not a rigid, Soviet-style command directive, but a highly sophisticated public-private roadmap. While the official target was a 7.2% annual growth rate to double the Gross National Product (GNP) in 10 years, Japan actualized an astonishing average growth rate of over 10%, achieving its goal in roughly 4.5 years.

The Japanese model subsequently influenced South Korea, Taiwan, Singapore, and China. When Deng Xiaoping visited Japan in 1978 with approximately 300 senior Chinese officials, the purpose was to study how Japan had achieved extraordinarily rapid economic development and how China could generate similarly high rates of growth. High growth was therefore not treated as an impossibility imposed by the laws of economics. It was treated as a policy objective requiring the right institutional and financial mechanisms.

Britain's Concentrated Banking System
Britain developed in the opposite direction. Five major banks came to control more than 80 percent of deposits, with balance sheets exceeding £2 trillion (HSBC, HSBC UK / HSBC Holdings; Barclays; Lloyds Banking Group, including Lloyds Bank, Halifax, and Bank of Scotland; NatWest Group, formerly Royal Bank of Scotland Group, including NatWest, and RBS; Santander UK). Large centralized banks naturally concentrate on large corporate customers and standardized lending structures. Small and medium-sized businesses operate differently. They require relationship banking, local knowledge, rapid decisions, and financing for technology, machinery, expansion, and working capital. Around 65 percent of British employment is associated with small and medium-sized firms, yet the banking structure is poorly adapted to their financing requirements.

Germany historically maintained approximately 1,200 small local, cooperative, and savings banks. Japan, South Korea, and China likewise developed extensive local banking networks. Local firms can approach institutions that understand their businesses and make rapid decisions about financing investment and technological adoption. Britain's productivity problem therefore cannot be separated from its banking structure. A financial system dominated by a handful of enormous institutions can be highly efficient at servicing large corporations while remaining structurally incapable of supplying the dispersed productive credit required by thousands of smaller firms.

The Productivity Problem Was Identified a Century Ago
This is not a newly discovered problem. The 1918 Colwyn Committee Report examined Britain's banking system and identified the concentration of financial power in the Big Five (National Provincial Bank, London County Westminster & Parr's Bank, London Joint City & Midland Bank, Lloyds Bank) together with inadequate long-term finance for smaller enterprises. The problem has therefore persisted for more than a century: productive businesses require credit, but the banking system concentrates financial decision-making in institutions whose incentives favor scale, established borrowers, and financial assets. The solution is not simply another government subsidy layered onto the existing structure. It is decentralization of financial power.

Britain could support thousands of local banks, cooperatives, savings institutions, and other locally rooted lenders. A hypothetical network of 5,000 banks, each operating 30 branches with 35 loan officers per branch, would create more than five million local lending positions. Credit decisions could once again be made close to the businesses and communities receiving the money. Britain itself previously had thousands of banks, cooperatives, savings banks, credit unions, and provincial financial institutions. Those decentralized structures existed during periods when Britain achieved exceptionally high rates of economic growth, including periods of double-digit expansion.

The Local-Banking Growth Flywheel
The mechanism is straightforward. A community bank with £20 million in capital can support a substantially larger loan book as it develops deposits, retained earnings, and lending relationships. Over three or four years, £20 million could support £400–500 million of lending and potentially approach £1 billion as the institution grows. 
 
» The solution is decentralization of financial power. «
 
Productive lending creates its own economic feedback loop. Businesses borrow, invest, expand output, increase productivity, generate income, repay loans, and create new deposits. Those deposits support further lending, which finances further investment. This is the banking flywheel:
capital → productive loans → investment → productivity → income → deposits → additional lending → further investment
However, in 2014, Werner himself founded Hampshire Community Bank (HCB) in the UK, envisioning it as a proof of concept for a German-style local savings-bank system. Instead, HCB spent more than a decade trapped in a regulatory stalemate before entering operation in November 2024. HCB's experience demonstrated the difficulty of establishing small, localized banks within the UK’s existing regulatory framework. Compliance costs, capital-adequacy requirements, and technology standards designed to supervise multitrillion-pound high-street banks are applied with little differentiation to small community-bank startups. Without a specialized tier of "light-touch" regulation for local, non-systemic institutions—comparable to the American community-banking sector or Germany's Sparkassen—the legal and structural barriers to expanding local banking in the UK remain firmly in place.

Growth Is Not a Fixed Physical Limit
The conventional language of "limits to growth" confuses physical resources with economic output. GDP and national income are statistical measures, not physical quantities existing independently of human production. Economic growth is fundamentally driven by human ingenuity, technology, organization, and productivity. A society can produce more with the same physical resources when it discovers better methods of production.

There is therefore no fixed physical law imposing permanently low economic growth on advanced economies. The constraint is institutional: whether the financial system provides productive businesses with the credit necessary to develop and implement new technologies. The scarcity narrative becomes fraudulent when it is used to present stagnation, austerity, declining living standards, or permanently constrained production as unavoidable while enormous financial resources continue to flow into asset markets and speculative activities.

Interest Rates Are Not the Whole Mechanism
Interest rates are often treated as the principal mechanism governing economic activity. But the quantity and allocation of credit matter at least as much. The critical question is not merely whether money is cheap or expensive. It is whether banks are actually creating credit for productive investment. An economy can have low interest rates and weak growth if credit is directed toward property speculation, financial engineering, or existing assets rather than productive enterprises.

The claim that interest rates cause growth also reverses the causal relationship. Strong economic growth creates demand for productive investment and credit, which can influence interest rates. The rate itself is not necessarily the originating force. Dame Kate Barker's criticism of the Monetary Policy Committee—describing its long tenure as having "really been a bit of a waste of time"—illustrates the broader question: if monetary policy focuses overwhelmingly on the price of money while ignoring the quantity and destination of credit, it can miss the mechanism actually driving productive growth.

Central Banking, Creation of Income Tax, and the Concentration of Power
Central banking is not merely a technical exercise in setting interest rates. It is a system of monetary power. The creation of the Federal Reserve coincided with the creation of the federal income tax and the expansion of federal financial power. Over time, increasingly concentrated financial institutions have accumulated enormous influence over governments, national debt, taxation, and monetary policy.

The same concentration appears internationally through the World Bank, IMF, central banks, multinational financial institutions, and the globalist financial elite. Their influence extends beyond individual loans or interest-rate decisions into the architecture of national economies. The result is a system in which financial power becomes increasingly detached from local productive economies. National governments can retain formal political authority while the practical allocation of capital increasingly occurs through institutions operating within an international financial system.

The Austrian School and the Missing Empirical Method
The Austrian School deserves credit for recognizing the importance of bank-created credit and warning against centralized economic planning. Its analysis of monetary expansion and financial distortions contains important insights. But rejecting statistical analysis entirely goes too far. Economics cannot escape empirical testing simply because human behavior is complex.

The appropriate approach combines institutional understanding with rigorous empirical analysis. The papers "Can Banks Individually Create Money Out of Nothing?" and "The Lost Century in Economics" are part of the effort to recover the actual mechanics of banking and test economic propositions against observable evidence. The essential question remains simple: what actually happens when banks lend, and where does the resulting purchasing power go?

Globalism, Europe, and the Loss of Monetary Sovereignty
The European monetary system extends the same problem from national banking to supranational financial governance. The euro removes important elements of national monetary sovereignty by placing member states inside a common monetary framework. Germany's industrial model—particularly its automobile industry and vast network of suppliers—has been subjected to increasingly severe pressures while monetary and regulatory authority has moved upward into European institutions.

»  The concern is ultimately simple: they want our savings. «
 
The European Union compounds the problem by separating major decisions from direct national democratic control. The European Parliament lacks the normal legislative initiative possessed by national parliaments, while the European Commission exercises major executive and regulatory authority without being directly elected by the European population. The structure resembles, in important respects, the centralized political-economic model that European nations supposedly abandoned after the Soviet experience: power moves away from local institutions and toward increasingly distant administrative authorities.

Europe, Savings, and Financial Centralization
Financial centralization extends beyond monetary policy. Restrictions on banks from outside the European Union offering deposits without an EU license can become part of a broader architecture of capital control. The concern is ultimately simple: they want our savings. Once financial institutions, governments, and supranational authorities acquire greater control over where citizens can hold money, how capital moves across borders, and which institutions may provide financial services, control over savings becomes another instrument of political and economic power. The issue is therefore not merely banking regulation. It is who controls the accumulated wealth of households and businesses and who determines where that wealth can be deployed.

Germany, Sovereignty, and Institutional Control
Germany provides the most extreme historical example of the relationship between political sovereignty and external institutional power. Germany remains constrained by postwar occupation arrangements. American intelligence structures have maintained extensive influence since 1945, while German political institutions were shaped by postwar re-education. Germany never recovered sovereign independence, and these postwar arrangements continue to shape contemporary German political developments. Policies that were regarded as mainstream or centrist two decades ago are increasingly described as "right wing," while the political center has moved substantially toward the left.
 
The Common Good vs. Concentrated Financial Power
The central economic problem is ultimately political: who controls the creation and allocation of money? A decentralized banking system distributes financial decision-making among thousands of institutions embedded in local economies. A concentrated banking system places that power in a handful of enormous institutions. 
 
An internationalized financial system transfers still more power toward central banks, multinational financial institutions, the IMF, World Bank, and global financial networks. The consequence is a widening separation between financial power and the common good. Productive businesses need credit to invest, innovate, employ people, and increase productivity, while financial capital can instead be directed toward assets, speculation, debt structures, and institutions whose interests are increasingly detached from national economies.

The alternative is not austerity or permanent scarcity. It is productive credit, decentralized banking, technological investment, rising productivity, and the restoration of financial power to the communities and nations in which economic activity actually takes place. The fundamental choice is therefore between a financial system organized around productive national development and the common good and one increasingly organized around centralized monetary authority, global financial interests, and the concentration of economic power.

Richard Andreas Werner (b. 1967) is a German economist and professor, currently at the University of Winchester, best known for coining "Quantitative Easing" in 1995 while proposing recovery strategies for Japan. He authored the Quantity Theory of Credit, empirically demonstrating that commercial banks create money out of thin air when granting loans and distinguishing between GDP-effective credit and speculative financial credit. A prominent critic of Western central bank policies and CBDCs, his research—including his bestseller Princes of the Yen—advocates for localized community banking to prevent financial crises.

Thursday, September 24, 2026

Seasonality vs. Cycles: October is Midterm Sweet Spot—If Switch Holds

October's reputation as a crash month misinterprets the presidential cycle and midterm sweet spot playbook. Since 1950, the S&P 500 has averaged a +3.0% gain in midterm Octobers, closing higher 74% of the time. November extends that momentum, adding +2.8% with a 79% win rate. From September 30 through year-end, the midterm path averages +6.6% and yields positive returns in 16 of 19 instances. Jeffrey Hirsch's  Stock Trader's Almanac signal isn't "beware October"—it's that the four-year cycle stops leaking in October.

Seasonality Midterm October Map for the S&P 500: Midterm years leave September weaker than the all-year path—then pull away from October 1 through mid-November. S&P 500 calendar-day path from the September 14 close: crimson is midterms 1950–2022 (+3.0% in October, 74% up); navy dashed is all years 1928–2025. Late September is still the washout (window trough ~Sep 30). 2026 has already rallied +21% off the March low, so this is a Q4-bid midterm, not a crash-then-rally analog, unless 7,550 breaks.
However, the leak precedes the rally. Both the all-year seasonal map and the midterm composite sag from the autumn equinox through month-end. September 27 falls directly within that washout zone, with the midterm path averaging a trough near September 30 (−1.3% from mid-September levels). Because September 27, 2026, falls on a Sunday, the active trading window shifts to Friday the 25th and Monday the 28th. That cluster represents a dip-buying opportunity, not an immediate breakout zone.
Presidential Election Cycle in US Stocks
Yale Hirsch is most widely credited with detecting and popularizing the Presidential Election Cycle in US stocks. A market historian, he introduced the pattern in the first edition of his Stock Trader's Almanac in 1967 and refined it in later volumes. Drawing on decades of data, Hirsch showed that equity returns tend to be weaker in the first one or two years of a presidential term and stronger thereafter—especially in the third, pre-election year—as administrations shift toward stimulus to support re-election prospects. Although related political-business-cycle ideas appear in economics (notably William Nordhaus's 1975 model of pre-election stimulus), the specific documentation and popularization of the stock-market version by year of the term belong to Hirsch's Almanac work; academic testing of the equity pattern followed mainly from the 1980s onward.

Overlap with the Kitchin and Broader Business Cycles
The presidential cycle is a fixed four-year political calendar. It overlaps in length with several economic cycles of roughly three to five years, yet the mechanisms differ and the patterns should not be treated as identical. The Kitchin Cycle, identified by Joseph Kitchin in 1923, is a short inventory-driven business cycle averaging about forty months. Firms over-order in expansions, then destock, producing production swings that feed into the broader economy. Because its typical span nearly matches a presidential term, many observers refer to the dominant four-year equity rhythm as both the Kitchin and the presidential cycle; some studies even treat the observed market pattern as encompassing both. The crucial distinction remains that Kitchin is an economic-inventory process while the presidential cycle is a political-calendar effect tied to election incentives. They can reinforce each other—late-term stimulus coinciding with inventory rebuilding—or drift out of phase because one is rigid and the other variable.

The presidential cycle also interacts with the general Business Cycle through policy timing: adjustment-oriented measures early in a term give way to growth-oriented stimulus later. Stocks, as a leading indicator, historically show weaker average returns and more frequent recessions in the first half of the term and stronger performance, especially in year three, in the second half. Empirical work finds that standard business-cycle variables do not fully account for the presidential return pattern; the equity effect persists as something of a residual puzzle.

Links to Hurst Cycles
Technical cycle analysis supplies a further parallel. J. M. Hurst's model organizes markets into a hierarchy of harmonically related nominal periods governed by commonality, synchronicity, and proportionality. The 54-week cycle is an intermediate member; longer relatives include the 40-week, 18-month, and especially the 54-month (approximately 4.5-year) cycle. Four 54-week periods nest into roughly 4.15 years, close to a presidential term, and Hurst practitioners often map the four-year political pattern onto their 4-to-4.5-year or 46-to-54-month rhythms. Historical studies, including those referencing Edward Dewey, note a roughly 46-month cycle of high regularity that aligns in period with the presidential timeframe. The political calendar can help phase or contextualize Hurst troughs and peaks, yet pure Hurst analysis remains grounded in price action and nested harmonics rather than external politics; the two tools are complementary, and presidential turning points coincide with major Hurst lows only intermittently.

Interaction with the Decennial Cycle
A still longer calendar regularity, the Decennial Cycle, interacts with the presidential pattern through systematic overlaps. First detailed by Edgar Lawrence Smith in the 1930s and later popularized in Hirsch's Almanac, the decennial pattern tracks average performance by the year's ending digit. Early-decade years (ending in 0, 1, or 2) tend to be softer—a "decade hangover"—while mid-decade years, especially those ending in 5, have been almost invariably positive and often strongly so; later years are more mixed. Because ten is not a multiple of four, the two cycles nest in shifting combinations: every decade contains two full presidential terms plus part of a third, so a year's place in the presidential sequence systematically aligns with particular ending digits. Years ending in 5 frequently fall in the first or third presidential year—both historically stronger—helping to amplify the mid-decade strength. Early-decade softness often coincides with post-election or transitional periods that overlap the weaker half of the presidential cycle. Practitioners like Ned Davis therefore treat the two as additive filters: a year that is both a strong presidential year (particularly year three) and a favorable decennial year is viewed more constructively, while alignment of weak slots raises caution.
Complementary Framework
Taken together, these patterns form a nested set of calendar and economic regularities. Length similarities produce natural correlations and frequent joint discussion, especially around the four-year rhythm shared by the presidential, Kitchin, and certain Hurst cycles. The presidential cycle functions as a political overlay that can influence or coincide with inventory-driven, business-cycle, and pure price-based rhythms, particularly around policy timing and major turning points. The decennial cycle supplies an additional independent calendar layer that modulates the four-year pattern at predictable intersections. None of the cycles causes the others; each is an empirical tendency best used as a parallel lens. Real markets approximate the historical averages but never duplicate them exactly, because exogenous events, monetary policy, and larger forces continually interact with and sometimes override the calendar regularities.
S&P 500 vs. 2026 Equal-Weight Composite Cycle (Seasonal, Presidential, and Decennial).
 
Presidential Cycle 2025–2028 and Midterm Election Year 2026 Sweet Spot:
Potential rise from September 30 (Wed), 2026 through July 19 (Mon), 2027. 
 
 2026 Is Already Off-Script
This market has diverged significantly from the historical midterm template. Jeffrey Hirsch's traditional model calls for a ~17% peak-to-trough drawdown—typically extending from late spring into mid-August—before launching into a Q4 rally. Instead, the 2026 tape printed its low early on March 30 at 6,344, rallied to 7,799 by August 13, and closed Thursday at 7,704—up +12.5% year-to-date and +21.4% off its lows. October arrives following an extended recovery rather than into a fresh, deeply discounted cyclical low.

Cycles vs. Seasonality
Running parallel to seasonality is the Hurst cycle model, which presents a more cautious picture. Across the Dow, S&P 500, and Nasdaq-100, the primary 40-week nominal trough starts at the March 30, 2026 major low, and is projected for January 9, 2027. Intermediate shared cycle troughs ahead of that window map to September 26 (40-day cycle) and October 30–31 (80-day cycle). Under this framework, the August highs are treated as the macro top for this wave segment. Until the major January trough arrives, counter-trend crests remain rallies to sell—unless a key pivot level fails, forcing an early-October alternate cycle low.

Primary Cycle Count Forward Projection and Confluence Calendar (Sep 2026 to Jan 2027).  

The Switch Levels Are the Entire Trade
These key switch levels dictate the structural bias: Dow Jones 51,172, S&P 500 7,550, and Nasdaq-100 30,125. On Thursday, September 24 the Dow undercut 51,172 intraday before reclaiming it by the close. The S&P and Nasdaq switch levels continue to hold. As long as 30,125 holds on the Nasdaq, a tactical bounce toward October 16 remains valid.


If the switches hold, the expected window of October 4–7 represents a sell zone to exit long positions taken off the September 26 low. If a switch breaks, a trough accelerates forward into October 4–5 as a primary buy window—the exact inflection point where seasonality and cycle analysis converge.
 
Execution Stance
Tactical discipline remains essential. Maintain light exposure heading into the Friday–Monday window, avoid initiating long positions on the Dow at current levels, do not hold the S&P 500 in anticipation of immediate new highs, and avoid over-allocating to the Nasdaq.
 
S&P 500 80-day cycle (primary): Starts at the Aug 20 trough. Wavelength 71 days. High already in on Aug 28, at 11% of the wave—left, not in the middle. Sep 21 did not beat it. Printed highs and lows as of Sep 21. "Expected" repeats that cycle's last translation. Oct 31 is the 80-day low only—the 20-day low before it is Oct 17. 80-day FLD 7,790 is still lost. The 20-week from this same Aug 20 trough does not bottom until Jan 9, 2027 (timing schematic, not a price forecast).
S&P 500 80-day cycle (alternate): Same Aug 20 start. On this count the low is Oct 5, not Oct 31, and Oct 5 is not a high. Sep 21 did not beat Aug 28.No crest between Sep 21 and Oct 5. The Nov 10 bounce is drawn smaller because this alternate cycle count does not expect it a new high (timing schematic, not a price forecast). 
DJIA 80-day cycle (primary): Starts at the Aug 20 trough. Wavelength 71 days. High already in on Aug 28, at 11% of the wave—left, not in the middle. Oct 30 is the 80-day low only—the 20-day low before it is Oct 17. The 20-week from this same Aug 20 trough does not bottom until Jan 9 (timing schematic, not a price forecast).  
 
DJIA 80-day cycle (alternate): On this count the low is Oct 4, not Oct 30, and Oct 4 is not a high. The Sep 22 bounce already failed. Next week is a bounce only if Sep 26 holds above 51,172. The high of that bounce is Oct 4, and it is a sell. It is a short, left-translated 40-day high, about a week, and it does not repair 52,364. If 51,172 breaks, next week is down into Oct 4. Then Oct 4 is the low near 50,000, not the high (timing schematic, not a price forecast).
If the switch levels hold, treat the late-September dip strictly as a tactical trade—take profits into early October, look to cover risk around the October 30–31 trough, and save major position sizing for the January 9 40-week/18-month cycle low. If a switch level fails, step aside during the bounce and buy the index at its early-October reset instead. Midterm seasonality provides a strong tailwind once a low is established—it is not a license to ignore the cycle trough. 

Dow: Oct 4 is a sell only above 51,172. Under 51,172 it is the buy.
S&P: Oct 4–7 is a sell only above 7,550. Under 7,550, Oct 5 is the buy.
Nasdaq: Oct 16 is a sell only above 30,125. Under 30,125, Oct 5 is the buy.
 
See also:

Monday, March 16, 2026

Louise McWhirter’s Forecasting Theory: The US Stock Market Through 2028

Louise McWhirter first presented her theory in her 1937 book "Astrology and Stock Market Forecasting." The model in the chart below demonstrates her claim that primary trends in business volume, finance, and stock prices are systematically delineated by the retrograde motion of the lunar North Node (NN) through the twelve signs of the zodiac. 

The draconic period of the true (osculating) lunar North Node is 18.612958 years (6,798.383 days). On average, 
each 30° zodiac sign is traversed in 566 days, or one year, six months, and nineteen days (1.55108 years).
 
The zodiac wheel is divided into four quadrants: "above normal," "normal," "below normal," and directional zones marked "prices up" (Leo through Libra) and "prices down" (Aquarius through Aries). Prominent arrows labeled "NODE TREND" and "TRANSITION PERIOD" indicate the clockwise retrograde flow, with gradual shifts occurring across defined transition zones near Scorpio–Sagittarius and Taurus–Gemini. Four pivotal turning points occur when the North Node enters the fixed signs, corresponding symbolically to the four heads of the cherubim in the Book of Ezekiel:
 
■ Aquarius represents the extreme low of business activity and the bottom of the cycle.
■ Leo signifies the extreme high of business activity and the top of the cycle.
■ Taurus marks the point at which business activity reaches a normal level while the overarching trend remains downward.
■ Scorpio indicates business activity reaching a normal level while the trend is upward.
 
The intervening signs provide precise transitional and amplifying effects:
 
► Aquarius: Extreme low of business activity, the bottom of the cycle.
► Pisces: Business activity approaches the bottom of the cycle.
► Aries: Business activity starts to fall below the normal level.
► Taurus: Business activity reaches a normal level, but the trend is going down.
► Gemini: Business continues to fall lower towards the normal level.
► Cancer: Business activity fades from the top.
► Leo: Extreme high of business activity, the top of the cycle.
► Virgo: Business activity goes even higher.
► Libra: Business activity starts to go above the normal level.
► Scorpio: Business activity reaches a normal level, and the trend is going up.
► Sagittarius: Business continues to go higher towards the normal level.
► Capricorn: Business activity turns up from the bottom.
 
These phases are not instantaneous but unfold within the broader nodal transit and transition periods shown on the wheel. The following ingress dates, drawn directly from the established nodal cycle, demonstrate the theory’s practical application across recent and forthcoming years:
 
► November 11, 2015: NN enters Libra. 
► May 9, 2017: NN enters Virgo. 
► November 6, 2018: NN enters Leo. 
► May 5, 2020: NN enters Cancer. 
► January 18, 2022: NN enters Gemini. 
► July 17, 2023: NN enters Taurus. 
► January 11, 2025: NN enters Aries.  
► July 26, 2026: NN enters Pisces.
► January 27, 2028: NN enters Aquarius. 
► August 2, 2029: NN enters Capricorn. 
► January 26, 2031: NN enters Sagittarius. 
► October 2, 2032: NN enters Scorpio. 
► April 2, 2034: NN enters Libra. 
► October 25, 2035: NN enters Virgo. 
[The intervals reflect the variable motion of the true North Node, ranging from 542 to 623 days while averaging to the theoretical 566.532-day mean.] 
As of March 2026, the North Node resides in Aries, a phase in which business activity begins to fall below the normal level within the “prices down” quadrant. This downward pressure persists until July 26, 2026, when the Node enters Pisces. Throughout the remainder of 2026 and the entire year of 2027, the Pisces transit prevails, during which business activity steadily approaches the bottom of the cycle. The subsequent ingress into Aquarius on January 27, 2028 will mark the extreme low, completing the descent that commenced in Aries.
 
 
McWhirter’s model suggests subdued business volumes, contracting financial activity, and a prevailing downward bias in prices through 2027. While this part of her theory does not specify intra-sign turning points and acknowledges that secondary factors (such as other planetary cycles or policy interventions) may modify outcomes by up to 20%, it supplies a disciplined structural overlay that contextualises shorter-term technical, fundamental, and sentiment indicators. 
 
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