
Price:
(as of Feb 24, 2025 18:18:14 UTC – Details)
Hungarian by birth, Nicolas darvas trained as an economist at the University of Budapest. Reluctant to remain in Hungary until either the Nazis or the Soviets took over, he fled at the age of 23 with a forged exit visa and fifty pounds sterling to stave off hunger in Istanbul, Turkey. During his off hours as a dancer, he read some 200 books on the market and the great speculators, spending as much as eight hours a day studying. Darvas invested his money into a couple of stocks that had been hitting their 52-week high. He was utterly surprised that the stocks continued to rise and subsequently sold them to make a large Profit. His main source of stock selection was Barron’s magazine. At the age of 39, after accumulating his fortune, darvas documented his techniques in the book, ?how I made $2, 000, 000 in the stock market.? The book describes his unique ‘box system’, which he used to buy and sell stocks. Darvas’ Book remains a classic stock market text to this day.
Product Description
Publisher : GENERAL PRESS; First Edition (31 December 2024); GENERAL PRESS, 4805/24, Fourth Floor, Krishna House, Ansari Road, Daryagang, New Delhi 110002, INDIA, Ph: 011-23282971
Language : English
Paperback : 168 pages
ISBN-10 : 9389716284
ISBN-13 : 978-9389716283
Reading age : Customer suggested age: 16 years and up
Item Weight : 200 g
Dimensions : 21.59 x 13.97 x 2.54 cm
Country of Origin : India
Net Quantity : 1.0 Piece
Importer : Repro Books India, 11th Floor, Sun Paradise Business Plaza, B Wing, Senapati Bapat Marg, Lower Parel, Mumbai 400013, INDIA, Tel: +91 22 7191 4000
Packer : Repro Books India
Generic Name : Printed Brand New Book
Customers say
Customers find the book easy to read and understand. They find the content motivating and useful for learning trading. The book is written in a simple, clear language that makes sense. Readers describe the story as relatable and interesting. Opinions differ on the value for money and strategy, with some finding it valuable and helpful, while others consider it a waste of time.
AI-generated from the text of customer reviews