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The Predictors: How a Band of Maverick Physicists Used Chaos Theory to Trade Their Way to a Fortune on Wall Street [Hardcover]

Thomas A. Bass (Author)
2.9 out of 5 stars  See all reviews (39 customer reviews)


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Book Description

November 2, 1999
How a band of maverick physicists used chaos theory to trade their way to fortune on Wall Street.

How could a couple of rumpled physicists in sandals and Eat the Rich T-shirts, piling computers into an adobe house in Santa Fe, hope to take on the Masters of the Universe from Goldman Sachs? Doyne Farmer and Norman Packard may never have read The Wall Street Journal, but they happen to be among the founders of the new sciences of chaos and complexity. Who better to try to find order in the apparently unreasoned chaos of the global financial markets? Thomas Bass first made readers aware of Farmer and Packard in The Eudaemonic Pie, in which he chronicled their assault on the casinos of Las Vegas. Here, Bass takes us inside their start-up company, at first a motley collection of long-haired Ph.D.s, nervously testing their computer forecasting models. As confidence builds, Farmer and Packard make their way to the centers of financial power, where they find investors and ultimately go live with real money. Once they are off and running, The Predictors becomes a dizzying, often hilarious tale of genius and greed, power brokers and rebels, as well as a brisk education in chaos, complexity, and the world financial markets.

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Editorial Reviews

Amazon.com Review

Using a computer to beat Wall Street from afar is, arguably, the new American dream. While it will remain just that for most of us, an offbeat gang of academics turned financial wizards is showing it can be done. Led by acclaimed physicists Doyne Farmer and Norman Packard, the Santa Fe-based Prediction Company has proven since its 1991 founding in an adobe bungalow furnished with plastic lawn chairs and top-of-the-line Sun workstations that it is indeed possible to make millions in the world's financial markets by anticipating trends and developing software that automatically capitalizes on them. In The Predictors, Thomas A. Bass colorfully relates their tale of fiscal triumph--and reveals in the process how even an unorthodox group of antibusiness intellectuals in far-off New Mexico can make the world's biggest institutions sit up and take notice.

Long esteemed in the scientific community, Farmer and Packard have become legendary in hacker circles since their failed attempt to beat the roulette tables in Las Vegas with toe-operated computers was chronicled in Bass's well-regarded 1985 book called The Eudaemonic Pie. This time, though, the two hit the jackpot with their cutting-edge computer programs and the company they created to trade German marks, Chicago commodities, Japanese treasury bonds, Texas oil futures, and New York securities. Bass's prose is a bit flowery at times, but his perceptive you-are-there account is nonetheless entertaining and sure to cement the pair's reputation as today's ultimate masters of "phynance," the successful, and now oft-copied, merger of physics and finance. --Howard Rothman

From Library Journal

In 1991, physicists Doyne Farmer, Norman Packard, and Jim McGill established the Prediction Company in Santa Fe, NM, intending to use their knowledge of chaos theory (the study of complex systems) to develop predictive models and automated black-box systems for beating financial markets worldwide. That they succeeded is only part of the story, the more interesting part of this tale being its human side. In Wired contributor Bass's account, we see the primary characters deal with a broad array of charlatans and geniuses, learn from their successes and failures, grow to appreciate the problems inherent in traditional economic theory, and become adept businessmen and managers. Useful as a primer in chaos theory as well as the various challenges that face start-up firms and the complexity of financial markets, this marvelous story should interest readers in both public and academic libraries.
-ANorman B. Hutcherson, Kern Cty. Lib., Bakersfield, CA
Copyright 1999 Reed Business Information, Inc.

Product Details

  • Hardcover: 320 pages
  • Publisher: Henry Holt and Co.; 1st edition (November 2, 1999)
  • Language: English
  • ISBN-10: 0805057560
  • ISBN-13: 978-0805057560
  • Product Dimensions: 9.2 x 6.3 x 1.7 inches
  • Shipping Weight: 10.4 ounces
  • Average Customer Review: 2.9 out of 5 stars  See all reviews (39 customer reviews)
  • Amazon Best Sellers Rank: #963,371 in Books (See Top 100 in Books)

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Customer Reviews

39 Reviews
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Average Customer Review
2.9 out of 5 stars (39 customer reviews)
 
 
 
 
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117 of 122 people found the following review helpful:
2.0 out of 5 stars You had to be there, March 22, 2000
By A Customer
This review is from: The Predictors: How a Band of Maverick Physicists Used Chaos Theory to Trade Their Way to a Fortune on Wall Street (Hardcover)
I met Doyne Farmer at his office near the Aztec Cafe in 93 and spent a pleasant hour with him at a nearby park comparing worldviews. At the time I felt the effort to "predict" financial behaviors was, to put it kindly, a misnomer. The book did not change my opinion.

What Farmer and his crew have accomplished is simply finding a set of adequate engineering models which can cut through the emotional fog of human traders and barely come out ahead, sometimes. It isn't chaos theory at all, and I am surprised that none of the critics or reviewers have mentioned this fact: Farmer (admitted) that his methods were simply engineering model-fitting with some trendy glue...they never got to the level of applying truely sophisticated ecological or evolutionary models to the market as a whole....You might say they made a mystery out of playing both ends against the middle, and were able to find someone to pay to see them do it.

The real problem of modelling real world systems was swept under the rug by the author with a throw-away reference to "the monster of dimensionality". The complexity of models increases geometrically or hypergeometrically with the addition of each variable, depending on how richly connected the model is. A model of the financial world running a few hundred variables would not come close to processing in real time--the reason that massively parallel supercomputers can render navier-stokes equations for the weather or hydrodynamic turbulence at all is because the node inputs do not require real world data...they keep riffing on data feed back from neighbors played against fairly simple transfer functions. To do a state space diagram with half a dozen variables defies the capabilities of any visualization method known to science at this time...and it takes more than science to distill the behavior of the world's financial community into fewer than two or three variables. It simply can't be done.

For the technically curious, the technologies that Farmer used were variants of methods that Hebbs set forth in the seventies and eighties which are capable of doing set-theoretical analysis of directed networks state changes using fairly basic logical inference. THe output is given in a few rules of if-then and probabilites, which must be tested against common sense. The book does mention this in some casual comments which can get away from the uninitiated pretty easily.

There are probably 10,000 living engineers with the savvy to adapt some algorithyms Byte Magazine published in the 80s as well as Farmer. Farmer was The Chosen One (with apologies to the Matrix) simply because he was famous, and he was famous because he had no problem taking credit for a field of novelty that dozens or hundreds of others had made viable (and he was the star of a readable book by a familiar author).

Just for fun I went back and found an Omni magazine from 1990 with a big feature article on Chaos theory. It never mentioned the Chaos cabal, but this book leads you to believe that there was no Chaos before, or without, them...only chaos.

Reading the book brought back intense memories of the discomfort I felt in Santa Fe, where the divide between the haves and the have-nots was wide enough to swallow up the whole history of technically advanced invaders scamming their native victims. SOme kind of fractal symmetry here...but since I am asking Doyne for money now don't make me spell it out.

On the plus side, I really enjoyed the story telling ability of the author, his idiosyncratic interests were not too far removed from my own. On the plus plus side, I actually finished the book, which I am not wont to do these days given the chaos of my interests and commitments. I hoped, with many other readers, to find some order in the turbulence, but I only found a good story of a benign scam with colorful casting, something that Redford and Newman would have starred in in their heyday.

I got the book for half price. It was worth the money to me. But maybe you had to be there.

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77 of 90 people found the following review helpful:
1.0 out of 5 stars Swindled, February 14, 2000
This review is from: The Predictors: How a Band of Maverick Physicists Used Chaos Theory to Trade Their Way to a Fortune on Wall Street (Hardcover)
This book is all fluff and no substance. The subtitle, "How a Band of Maverick Physicists Used Chaos Theory to Trade Their Way to a Fortune on Wall Street," is a deceit.

Aside from telling us that the physicists used nonlinear equations with live data streams to build computer models of different markets, e.g., gold prices, oil prices, T-bonds, stocks, and various currency exchange rates, and that these models were then used successfully for trading purposes, the author tells us nothing. There are no specifics, not even any general descriptions, of how the models were built, what data were used, or what refinements were made along the way. There are no specifics on how much money was made and by whom.

The author treats us to much irrelevant minutiae such as who ate what at specific moments during various dinner conversations. But the author made no attempt to explain how these supposedly successful trading models were created.

If the author didn't understand the science well enough to report it, then he shouldn't have written the book. If he did understand the science but the scientists refused to reveal details to him, he should have done some research. He could have read their published papers on chaos and complex systems with respect to topics other than financial markets. He could have interviewed people who would be able to make educated guesses as to how it is done. As it is, he gives us no clues as to how the models were built or what data were used.

After wasting my time reading this book, I felt I had been swindled. There really ought to be a way to get one's money back. All I can do is say to the author (Thomas Bass) and the publisher (Henry Holt), "Fool me once, shame on you. Fool me twice, shame on me." And that's the way markets work.

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20 of 21 people found the following review helpful:
2.0 out of 5 stars Could have been interesting, October 18, 1999
This review is from: The Predictors: How a Band of Maverick Physicists Used Chaos Theory to Trade Their Way to a Fortune on Wall Street (Hardcover)
The main problem with this account of Doyne Farmer and Norman Packard's attempt to predict the price of stock and commodity prices is that there is no meat on the bones. Bass touches only superficially on what it is the Prediction Company is doing out there in Santa Fe and instead choses to focus on the fledgling firm's struggle to become a player in the world of finance.

I understand that this is a complex subject, but perhaps if Bass had embellished his text with some illustrations and examples I would have come away with a better understanding of exactly wht this "new phynance" is all about. Bass makes reference to some of Farmer's work, but never goes any deeper then telling us the title.

Another problem is Bass' portrayl of the main characters. Unfortunately, they don't come across as a very colorful lot. This is no 'predators ball" for the nineties. I learned next to nothing about what is going on. Overall, I was very let down

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First Sentence:
All hell has broken loose in the Chicago exchanges. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
trading console, senior founders, complex systems research, prediction engine, trade engine, daily models, quarterly objectives, nonlinear forecasting, tick data, live trading, turbulent fluid flow, winning system, company suit, world financial markets, financial forecasting
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Prediction Company, Wall Street, New York, Los Alamos, New Mexico, Griffin Street, Las Vegas, Morgan Stanley, Santa Cruz, Aztec Street, Silicon Valley, David Weinberger, Science Hut, Rio Grande, George Soros, Santa Fe Institute, Chaos Cabal, San Francisco, Silver City, Goldman Sachs, Rob Shaw, United States, University of California, Norman Packard, Bank of America
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