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Forecasting Financial Markets: The Psychology of Successful Investing [Hardcover]

Tony Plummer (Author)
3.4 out of 5 stars  See all reviews (7 customer reviews)


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Forecasting Financial Markets: The Psychology of Successful Investing Forecasting Financial Markets: The Psychology of Successful Investing 3.4 out of 5 stars (7)
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Book Description

0749447494 978-0749447496 September 28, 2006 5th
Provides the reader with an in-depth assessment of the phenomenon of cycles and patterns of economic and financial activity in order to make money in the world's financial markets. Guides investors in understanding the forces at work in logical terms, and in designing an investment process that generates objective 'buy' or 'sell' signals.


Editorial Reviews

Review

“This book will entertain and intrigue keen investors.” -- Financial Times

About the Author

Tony Plummer is a director of Helmsman Economics Ltd, and is a former director of Guinness Flight Hambro Global Fund Managers Ltd, Hambros Fund Management PLC, and Hambros Bank Ltd. He carries out independent research into the patterns and rhythms of global markets as well as giving lectures on crowd psychology and technical analysis.

Product Details

  • Hardcover: 415 pages
  • Publisher: Kogan Page; 5th edition (September 28, 2006)
  • Language: English
  • ISBN-10: 0749447494
  • ISBN-13: 978-0749447496
  • Product Dimensions: 1.2 x 6.2 x 9 inches
  • Shipping Weight: 1.8 pounds
  • Average Customer Review: 3.4 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #2,750,510 in Books (See Top 100 in Books)

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Customer Reviews

7 Reviews
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 (4)
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Average Customer Review
3.4 out of 5 stars (7 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

18 of 25 people found the following review helpful:
1.0 out of 5 stars Not helpful at all., April 10, 2006
Believe it or not, I got to re-read the Foreword and the Introduction to check whether the objective of the book is that of the book title. I must praise the publisher for being able to get the endorsement from Financial Times, The Independent, Futures Magazine and even a Sir in the back cover. However, I really doubt whether those critics (no personal name given indeed) had read the book at all.

As a pro mechanical (using TA with as little personal judgement as possible, vs the large judgement needed of, say, Elliot Wave Theories) trader/CFA/trading book lover I really dislike the book. I admit that I am prejudiced against Cycles/Elliot Wave Theories coz it's nearly impossible to tell what phase/stage of what cycle one is in and thus what high profit probability action one should take, except from hindsight which may already be hundreds of pips away. Pathetically, the key theme of the book, if present, is to provide academic background of various types of cycle theory. Psuedo science/psychology/economics, forgive me.

In case you really want to read something to sharpen your trading/investment edge, I strongly suggest you to give it a pass.
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11 of 15 people found the following review helpful:
5.0 out of 5 stars Awesome technical analysis book, July 22, 2003
Many technical analysts like to forget that they live in the real world. Technical analysis is based on the idea that the patterns drawn by stock prices can be used to forecast the financial markets. The field of behavioral finance essentially looks at this psychological give and take from an academic perspective, while technical analysis is largely a real life application. Tony Plummer brilliantly bridges this gap by showing how and why these patterns develop. He also discusses his own take on Elliott Wave Theory in a cogent and interesting manner. (Disclosure: This reviewer wrote "Applying Elliott Wave Theory Profitably" and Mr. Plummer wrote the foreword to the book.)
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4 of 5 people found the following review helpful:
1.0 out of 5 stars Nonsense, June 26, 2009
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This book is just an incoherent collection of fancy words and phrases (like crowd psychology, feedback systems, fractals, etc). The book is supposed to show the scientific basis behind technical analysis. But, the reasoning (or lack thereof) is mediocre at best. I got the feeling that the author wants the book to sound scientific without any science.

In certain cases, the book makes conclusions that are absolutely and shockingly false. For example, in page 58, the author makes a conclusion that boils down to this: as you increase the window of a moving average, there will be a very high correlation between the values of the moving average at any two times T and T-1. Hence, the author claims, this (the high correlation) shows that financial markets are predictable!!

This "reasoning" is absolutely ridiculous. Moving averages BY DEFINITION smooth out curves and hence increase correlation between time steps of the smoothed curve. In fact, if the window is large enough the value of the moving average will be approximately constant and that will imply that the correlation between T and T-1 is almost 1. This will be the case for almost ANY stationary data series. Does that make any such data series predictable?! Absolutely not!

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
upper time axis, limit cycle relationship, price pulse, lower time axis, rising impulse wave, recuperation cycle, bearish crowd, cent retracement, unsuccessful crowd, equity crash, terminal cycle, first energy gap, falling open interest, infrastructure cycle, golden measure, disruption cycle, information shock, base cycle, flat correction, bear phase, crisis cycle, crowd phenomenon, gilt market, shock point, price reversal
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Time Figure, Dow Jones Industrial Average, Federal Reserve Board, United States, Great Depression, Dow Theory, Second World War, American Civil War, Ralph Nelson, First World War, New Classics Library, Arthur Koestler, Gregory Bateson, Institute of Supply Management, John Wiley, The Major Works, Global Financial Data, Kegan Paul, Minus Figure, Prices Prices, Producer Prices, Recuperation Innovation Disruption, The Self-organizing Universe, Time Prices
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