October Crash of 1987 Explained

October Crash of 1987 Explained

by Wong Y T

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Overview

October Crash of 1987 Explained by Wong Y T

The October Crash of 1987 has puzzled many analysts who (after more than 27 years) still regard it as a mystery. In fact, it is extremely easy to analyze. Using the same logical reasoning as applied in this article, we are able to explain (and forecast) many similar crises. Past occurrences include the Financial Meltdown (2008), Blitzkrieg (1940), October Crash (1929) etc. A recent date (9 Feb 2015) with similar planetary arrangements to 19 Oct 1987 is selected and anatomized. The former is a mild decline while the latter is a Crash. Detailed explanations help readers understand how to assess the severity of the declines. The mystery is deciphered in plain language. There are no jargon, and no complicated formulas.

Product Details

BN ID: 2940046598162
Publisher: Wong Y T
Publication date: 02/24/2015
Sold by: Smashwords
Format: NOOK Book
File size: 1 MB

About the Author

I am a Hong Kong Certified Accountant in public practice. I have spent 35 years studying market trends for Dow Jones Industrial Average (proxy for US economy) using planetary patterns for correlations. In the first 30 years, I applied Geocentric planetary aspects in my research work but there always seemed to be something missing. The breakthrough came in 2009 when I hit upon 2 ideas: (1) Jupiter Trojans must be incorporated into the analysis, and (2) Bird’s eye views and Heliocentric views of the Solar System should be used (in addition to Geocentric views). The missing pieces of the jigsaw fell into proper places. I was thrilled. The new paradigm can unravel the mysteries of the vicissitudes of U.S. economies. Stock market booms and busts are predictable by applying the theory. It is no hyperbole to claim this significant advancement in research as an earth-shattering event. It revolutionizes future ways to interpret economic events. In particular, the discovery fills the void in the subject of Economics by adding a Prediction Module, elevating it to a True Science. One can now forecast major market trends of DJIA with precision!

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