Cycle-trader – Complete 4-Book Course: Four-Dimensional Stock The Market Structures PDF and Cycles
Four-Dimensional Stock Market Structures and Cycles is the first set of 2 books and contains the first ten lessons in the 4 book course.
Although the stock market is used for examples, the techniques are universal and can be applied to any market.
This award-winning home-study course teaches market analysts how to make accurate financial market models predicting price-time action years into the future. These techniques combine geometry with cycle analysis to pinpoint turns in both price and time. There are workbook-like questions/answers producing price and time projections with accuracy better than one percent.
One example of the results obtained by applying the techniques taught in this course is shown below where a five-year model of the stock market is shown that was created in February 1984 using these techniques. The Dow Jones Industrial Average is shown below the graph for comparison to what actually happened after this model was made.
This Home-Study Course is the Only Source for this Information
The material in FOUR-DIMENSIONAL STOCK MARKET STRUCTURES AND CYCLES is an entirely new way of analyzing financial markets. YOU HAVE NEVER SEEN THIS MATERIAL BEFORE, because it has never before been released to the public by any author. Even if you are the head of technical analysis at the leading brokerage firm in the country or the world’s greatest trader, this material will be new to you. For example, listed below are just some of the topics uniquely solved in this course.
Explains Why the Periodicity of Cycle Bottoms and Tops Varies
Contemporary cycle analysts have no clue why cycle bottoms deviate from an ideal rhythm, and why tops wander even more than bottoms.
Their problem is that they are using the limited perspective of a two-dimensional price time chart. Without knowledge of the correct geometry involved, the solution to this problem remains hidden from view. One of the many topics covered in Lesson V explains why the periodicity of cycles vary and teaches the analyst how to anticipate these changes. Many examples in the DJIA are provided.