Price: $49.95 - $24.11
(as of Nov 26, 2024 10:12:25 UTC – Details)
THE APPETITE FOR PENNY STOCKSstocks that trade for less than $5 a shareis greater than it’s ever been. Due to their potential for rapid change, these investments can be both lucrative and high-risk. Penny stocks that pass the proper analysis can quickly multiply in value, dramatically outperforming every other type of stock, including so-called “safe” blue chips.
Exciting, original, and inspiring, Invest in Penny Stocks is the only book of its kind. The Penny Stock Professional, Peter Leeds introduces you to all the concepts needed to become a successful penny stock investor: risk-free paper trading, tactics of the pros, the best markets, effective due diligence, and much more. He also reveals his 29- point Leeds Analysis, which uncovers the absolute best small companies with strong management teams, great upside potential, proven revenues, patented technologies, and rock-solid fundamentals. These premium penny stocks are more likely to outperform, and less likely to suffer downside price moves. Packed with nearly twenty of Leeds’ favorite trading tactics and over forty real company trading charts, Invest in Penny Stocks can quickly help anyone become a successful trader.
Using methods of fundamental and technical analysis developed over many years, Peter Leeds is consistently able to discover value in companies that others can’t see. With Invest in Penny Stocks, he shows you how to take advantage of the opportunities that everyone else is missing.
Publisher : Wiley; 1st edition (March 1, 2011)
Language : English
Hardcover : 208 pages
ISBN-10 : 047093218X
ISBN-13 : 978-0470932186
Item Weight : 13.9 ounces
Dimensions : 6.3 x 0.8 x 9.3 inches
Customers say
Customers have mixed opinions about the readability and quality of the book. Some mention it’s a good read for novices, while others say it’s a waste of time. They also disagree on the information quality, with some finding it helpful and basic, while others say it has simplistic tips on analyzing stocks.
AI-generated from the text of customer reviews
