Free Download Market Science Volumes I & II Square of Twelve & Market Dynamics By Bradley Cowan
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Market Science (Square of Twelve, Market Dynamics)
Description
This fourth book in the series is considered one of the most significant sources of market knowledge ever published. Such a claim is not made casually, as clear evidence is provided to support it. Market Dynamics accomplishes what no one has ever done before—it introduces a framework, built on a straightforward number sequence, that maps every major turning point in price-time. The accuracy of this model is demonstrated to fall within two cent-days across the complete history of soybeans, beginning in 1913.
Introductions of Square of Twelve:
This volume marks the first entry in the Market Science series. While soybeans are used as the primary market for illustration, the methods apply universally—reinforcing that the natural principles guiding human behavior, first identified in Four-Dimensional Stock Market Structures and Cycles, are relevant across all financial markets, including agriculture.
As with the earlier book, the PTV serves as the main analytical tool, showing how spatial forces in the soybean market behave consistently and predictably.
WITHOUT THE PTV, MOST RELATIONSHIPS REVEALED IN THIS STUDY WOULD REMAIN HIDDEN.
Square of Twelve continues from Lesson XI, building on the material in Four-Dimensional Stock Market Structures and Cycles, which contained the first ten lessons. This volume assumes readers already understand at least the first five lessons of that text.
Additionally, this series introduces material on vectorial relationships, not disclosed in the earlier work. Aristotle’s words in Lesson III of Four-Dimensional Stock Market Structures and Cycles—“we shall not obtain the best insight into things until we actually see them growing from the beginning”—are honored here, beginning with the earliest soybean data in 1913 and moving forward.
Readers should examine the methodology in Market Science, Square of Twelve closely, as it lays out the standard approach to market study:
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Start with data that best represents the pure form of the market—in this case, the cash price received by farmers nationwide (see Appendix B).
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Trace back to the earliest available data, since the initial vibration defines the base for all later price behavior.
EARLY PRICE-TIME MOVEMENTS AFTER TRADING BEGINS SET THE VIBRATION RATE FOR THE ENTIRE MARKET.
The soybean market proves this, where its initial moves aligned with the square of twelve. The author highlights that many analysts wrongly begin with assumptions, then seek data to fit them—for instance, presuming Fibonacci ratios drive markets, and then labeling any ratio between 1.5 and 1.7 as “proof.”
In contrast, the proper scientific approach requires:
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Collecting accurate, long-term data.
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Tabulating relationships within that data.
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Drawing conclusions only after the relationships are clearly established.
Introductions of Market Dynamics:
There is order and balance in the universe, far beyond human comprehension. Even the complexity of a small fruit fly—finding food, traveling to it, and evading predators—surpasses our understanding. Yet, as part of nature, humans can observe and model their environment within their limits. The tools we use for this fall under “science,” which Webster’s defines as:
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The study and theoretical explanation of natural events.
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A structured process involving method and research.
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Knowledge gained through direct experience.
All three definitions apply to Market Science because financial markets are natural phenomena that require methodical study and practical experience. Sadly, many who use science in chemistry or engineering fail to see that the same disciplined methods can analyze financial market behavior.
Market Science explains how principles from the natural sciences can improve market timing. As stated in earlier works, market price action is shaped by points of force, consistently arranged in price-time. These points pull and repel prices as time progresses. Thus, the same natural laws that let scientists measure force and stress can also be applied to financial markets.
The insights in this volume are among the most valuable ever written on market timing. Not only is it shown that the spacing between points of force is consistent, but also that the size of a PTV at any stage of growth can be forecast decades ahead.
Until now, no other method has matched this one in projecting future price-time points, explaining underlying market forces, and supporting findings with scientific precision.
Volume I, Square of Twelve, illustrated these relationships in the soybean market, where price, cycles, and spatial structures were tied to the number 144—regarded as sacred by ancient mathematicians and astronomers. Archeologists confirm that cultures from the Incas and Mayas to Egyptians and Greeks used 144 in sacred architecture, honoring their gods.
Volume II, Market Dynamics, extends this work by demonstrating how the soybean growth spiral’s expansion or contraction follows a simple number series tied to multiples of twelve.
This sequence mirrors the energy levels of electrons shifting orbitals in an atom. Examples show the method’s precision, forecasting PTV values within two “cent-days” even when projected a decade forward.
This research also connects long-term planetary cycles with soybean market tops and bottoms, extending projections twenty years ahead. To protect against misuse, exact phasing and short-term cycles are not disclosed, as past leaks have shown how quickly such details get commercialized.
Also included is an update on the post-1987 crash stock market spiral, with vectorial relationships proving accurate even on an hourly scale (see Appendix C). These concepts, though not limited to soybeans, apply broadly to all markets.
Planetary cycles first introduced in Four-Dimensional Stock Market Structures and Cycles are updated through July 1995, demonstrating that diligent readers of earlier works could have profited greatly from predicted cycle turns.
That earlier book, released in October 1993, documented cycles only through mid-1992. Yet, every move since has followed those cycles closely.
Finally, Appendix F compares dimensions of ancient temples with the soybean growth spiral’s vectorial expansion. While only introductory, it sparks curiosity about the knowledge possessed by ancient civilizations.
