Price-Forecasting Models for J. W. Mays, Inc. MAYS Stock Contributor(s): Ta, Ton Viet (Author) |
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ISBN: ISBN-13: 9798680899670 Publisher: Independently Published
Binding Type: Paperback - See All Available Formats & Editions Published: August 2020 * Out of Print * |
Additional Information |
BISAC Categories: - Business & Economics | Bookkeeping - Crafts & Hobbies | Mixed Media |
Physical Information: 0.15" H x 5.98" W x 9.02" L (0.24 lbs) 74 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Do you want to earn up to a 44627% annual return on your money by two trades per day on J. W. Mays, Inc. MAYS Stock? Reading this book is the only way to have a specific strategy. This book offers you a chance to trade MAYS Stock at predicted prices. Eight methods for buying and selling MAYS Stock at predicted low/high prices are introduced. These prices are very close to the lowest and highest prices of the stock in a day. All methods are explained in a very easy-to-understand way by using many examples, formulas, figures, and tables. The BIG DATA of the 1267 consecutive trading days (from November 13, 1991 to August 24, 2020) are utilized. The methods do not require any background on mathematics from readers. Furthermore, they are easy to use. Each takes you no more than 30 seconds for calculation to obtain a specific predicted price. The methods are not transient. They cannot be beaten by Mr. Market in several years, even until the stock doubles its current age. They are traits of Mr. Market. The reason is that the author uses the law of large numbers in the probability theory to construct them. In other words, you can use the methods in a long time without worrying about their change. The efficiency of the methods can be checked easily. Just compare the predicted prices with the actual price of the stock while referring to the probabilities of success which are shown clearly in the book (click the LOOK INSIDE button to read more information before buying this book). Depending on the number of investors who are interested in this book, the performance of the methods from the publication date will be added to the book after one year, and will be stated here in the description of the book too. You will then see that the methods in this book are outstanding or not. The book is very useful for
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