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An Introduction to Algorithmic Trading: Basic to Advanced Strategies (Wiley Trading) [Englisch] [Gebundene Ausgabe]

Edward Leshik , Jane Cralle
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Kurzbeschreibung

1. März 2011 Wiley Trading (Buch 525)
Interest in algorithmic trading is growing massively - it's cheaper, faster and better to control than standard trading, it enables you to 'pre-think' the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human 'bandwidth'. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic trading is becoming the industry lifeblood. But it is a secretive industry with few willing to share the secrets of their success.
 

The book begins with a step-by-step guide to algorithmic trading, demystifying this complex subject and providing readers with a specific and usable algorithmic trading knowledge. It provides background information leading to more advanced work by outlining the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where we are now and where we are going.
 

The book then goes on to demonstrate a selection of detailed algorithms including their implementation in the markets. Using actual algorithms that have been used in live trading readers have access to real time trading functionality and can use the never before seen algorithms to trade their own accounts.
 

The markets are complex adaptive systems exhibiting unpredictable behaviour. As the markets evolve algorithmic designers need to be constantly aware of any changes that may impact their work, so for the more adventurous reader there is also a section on how to design trading algorithms.
 

All examples and algorithms are demonstrated in Excel on the accompanying CD ROM, including actual algorithmic examples which have been used in live trading.

Wird oft zusammen gekauft

An Introduction to Algorithmic Trading: Basic to Advanced Strategies (Wiley Trading) + Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading) + High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems (Wiley Trading)
Preis für alle drei: EUR 165,59

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Produktinformation

  • Gebundene Ausgabe: 272 Seiten
  • Verlag: John Wiley & Sons; Auflage: 2. Auflage (1. März 2011)
  • Sprache: Englisch
  • ISBN-10: 0470689544
  • ISBN-13: 978-0470689547
  • Größe und/oder Gewicht: 16,1 x 2,1 x 23,5 cm
  • Durchschnittliche Kundenbewertung: 1.0 von 5 Sternen  Alle Rezensionen anzeigen (1 Kundenrezension)
  • Amazon Bestseller-Rang: Nr. 158.842 in Englische Bücher (Siehe Top 100 in Englische Bücher)
  • Komplettes Inhaltsverzeichnis ansehen

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Produktbeschreibungen

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Algorithmic trading is becoming the industry lifeblood - it is cheaper, faster and easier to control than standard trading and it enables you to ‘pre-think' the market, executing complex math in real time. We are no longer limited by human ‘bandwidth', but the industry is secretive with few willing to share the secrets of their success.

An Introduction to Algorithmic Trading is an introductory guide to this hugely popular area. It begins with demystifying this complex subject and providing readers with specific and usable algorithmic trading knowledge. It outlines the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where the industry is now and where it is going.

The book then features a section describing the choice of stocks to trade on the NASDAQ and the New York Stock Exchange, analytics, and metrics used to optimize trading results - and for the more adventurous reader, a section on how to design trading algorithms.

Finally the authors demonstrate a selection of detailed proprietary and never before seen algorithms targeted exclusively for use by individual traders to trade their own accounts. These algorithms have been developed and used by the authors and are being published here for the very first time.

This is an ideal book for the reader interested in understanding and harnessing the power of algorithmic trading systems, and is accompanied by a CD Rom which provides a quick ‘hands on' route to exploring the power of algorithmic trading on trade NASDAQ and NYSE stocks.

Über den Autor

Edward Leshik has spent the last 12 years trading his own account and researching the microeconomics of the NASDAQ and New York Stock Exchange markets. Previously he was CEO of an electronics company, supplying point of sale electronics to major retailers such as Sears and Sunoco in Canada and Allied Breweries in the UK, where he gained considerable electronics experience and was the first to automate an assembly line using electronics in the UK. His main academic background is in mathematics and physics and he has a great interest in the theories of Universality and Complexity as applied to the markets. He is currently developing a fully automated algorithmic trading system with his co-author Jane Cralle. Jane Cralle began her career in stockbrokerage at PaineWebber, and later spent 22 years at Linker Capital Management Inc. managing the accounts of high net worth individuals. She has a wide knowledge of the markets and is an expert trader and investor - her extensive experience is invaluable gauging the ‘long run' of market evolution. She is currently researching and developing an automated algorithmic trading system with Edward, and her specialty of cluster analysis of the S&P index components is a work in progress background for a proposed book titled Stocks and their Personalities. Jane lives in Louisville with her husband, Rick Kremer, and three children, Sarah, Morgan and Jack.

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In diesem Buch (Mehr dazu)
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Buchdeckel | Copyright | Inhaltsverzeichnis | Auszug | Stichwortverzeichnis
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1.0 von 5 Sternen Strong disappointment 28. April 2013
Format:Gebundene Ausgabe|Von Amazon bestätigter Kauf
I had high expectations on this book especially as the subtitle is promising advanced strategies on algorithmic trading. Unfortunaly none of these expections got met und this was the most disappointing book I have red for a while.

In such a modern and "computerized" field like algorithmic trading one could expect a high level of professionalism regarding the practical approach of building algorithmic trading machines. Instead the authors rely on implementing everything in Excel using excel function language. The funny side is that they seriously praise this as a an effective approach. Here is a comment where I found myself first laughing and then wanting to scream out loud:
"We have chosen Excel to implement our algos as it the universal spreadsheet with the added advantage of a fairly rich function language in optimized microcode and thus fast execution."

Consequently many approaches the authors proposes are limited to the effectiveness what you can do with excel. For example the authors suggest to test parameters manually and thus create 6000 excels files having 60 sessions for 100 stocks. Maybe I do not see the level of humor the authors apply but I am fearing they are serious about this.

To clear things up a bit: The design goal of this book are excel sheets which work on live input and generate buy or sell signals. It is not about autonomous trading bots. The major discussion of algos encompasses about 3 pages and is quite basic.

The provided excel files are very poorly designed. One can see that there was not put much effort in providing this additional material.

All in all I would say some bad input is better than no input and maybe I might pick up some ideas this book suggests but I must say that at the moment I rather regret the money and the time I employed.
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Amazon.com: 2.4 von 5 Sternen  7 Rezensionen
42 von 44 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Worthless 12. April 2011
Von M. Chiz - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Von Amazon bestätigter Kauf
I found this book completely useless. Fortunately, it is largely fluff and thus did not waste much of my time.

The basic idea of this book is that individual traders can benefit from trading at higher frequencies (in the 10s of seconds). I agree with the premise, but their execution is horribly flawed.

I have two big complaints: First the book is not about algorithmic trading, it is about systems trading. Algorithmic trading is systems trading wherein the system is programmed into a computer and allowed to execute orders without human intervention. This book teaches you how build an excel spreadsheet to provide you with trading signals according to your system. They expect you to manually enter the orders. Doing this reliably with the number of trades their system generates is something I would not want to attempt.

Second, the book does not cover anything that could be categorized as "Advanced". Anyone with a modicum of exposure to trading systems design, technical analysis and a bit of Excel experience will find nothing new here.

The first 30 pages, are a description of how big banks use algorithmic trading to cut costs and reduce the impact of large orders. This information could be found on the internet. They then spend the next 40 pages providing very poor introductions to statistics, Excel, and high frequency (tick) data. Another 30 pages get spend rambling about how to pick stocks that are worth trading by using various well known metrics. Fifteen pages are then spent briefly describing the example systems included on the CD. These are extremely simple applications of standard technical analysis methods. The only "innovation" is one that should be obvious to anyone remotely familiar with high frequency data -- instead of calculating moving averages over a series of equal-time charted bars, they calculated a moving average over the last so many market crossing (ticks).

That brings us to about page 115. From there until 160 is a random collection of things that you could find on the internet by searching various topics, and a bit of information about data vendors and computer hardware that might be worth something to someone totally unfamiliar with systems trading at high-frequencies.

The book closes with some Appendices which were also non-helpful.

At best I can say that the included CD might help someone with little or no Excel experience by providing some half-decent examples. Still, for the price of this book, I think you could find much better Excel lessons.

Finally, although they don't provide the details on how to do it, there is no reason you couldn't tie in an Excel model like the examples they provide to a trading system (like TradingTechnologies X_Trader) and fully automate your trading. This would be the simplest and most painless way for an individual trader with little programing experience to automate his or her trading system. Of course, as even they point out, Excel eats up a massive amount of computer resources for what it does. Using Excel for rapid prototyping might be useful, but when it comes to actually running the system, I'd much rather a compiled piece of well tested software than an Excel spreadsheet.
29 von 32 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen Book Title 11. April 2011
Von Valley Dweller - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Von Amazon bestätigter Kauf
The book should be titled " How to calculate moving averages crossover in Excel and punch keys for execution" Deserves an award for padding.
10 von 11 Kunden fanden die folgende Rezension hilfreich
1.0 von 5 Sternen The worse book I have already read 18. Juni 2011
Von Leandro Sanches Garcia - Veröffentlicht auf Amazon.com
Format:Gebundene Ausgabe|Von Amazon bestätigter Kauf
The book is completly poor.I bought the book based on the index that by the way is interesting but when I received the book at home and started to read oh my gosh.. each subject is composed by three or four pages explained badly.There's no pratical sample and nothing that really teaches effectively.
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