DUBLIN--(BUSINESS WIRE)--Research and Markets (http://www.researchandmarkets.com/research/446ee8/an_introduction_to) has announced the addition of John Wiley and Sons Ltd's new book "An Introduction to Algorithmic Trading: Basic to Advanced Strategies" to their offering.
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 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. 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.
Key Topics Covered:
- PART I INTRODUCTION TO TRADING ALGORITHMS.
- History.
- All About Trading Algorithms You Ever Wanted to Know.
- Algos Defined and Explained.
- Who Uses and Provides Algos.
- Why Have They Become Mainstream so Quickly?
- Currently Popular Algos.
- A Perspective View From a Tier Company.
- How to Use Algos for Individual Traders.
- How to Optimize Individual Trader Algos.
- The Future - Where Do We Go from Here?
- PART II THE LESHIK-CRALLE TRADING METHODS.
- Our Nomenclature.
- Math Toolkit.
- Statistics Toolbox.
- Data - Symbol, Date, Timestamp, Volume, Price.
- Excel Mini Seminar.
- Excel Charts: How to Read Them and How to Build Them.
- Our Metrics - Algometrics.
- Stock Personality Clusters.
- Selecting a Cohort of Trading Stocks.
- Stock Profiling.
- Stylistic Properties of Equity Markets.
- Volatility.
- Returns - Theory.
- Benchmarks and Performance Measures.
- Our Trading Algorithms Described - The ALPHA ALGO Strategies.
- Parameters and How to Set Them.
- Technical Analysis (TA).
- Heuristics, AI, Artificial Neural Networks and Other Avenues to be Explored.
- How We Design a Trading Alpha Algo.
- From the Efficient Market Hypothesis to Prospect Theory.
- The Road to Chaos (or Nonlinear Science).
- Complexity Economics.
- Brokerages.
- Order Management Platforms and Order Execution Systems.
- Data Feed Vendors, Real-Time, Historical.
- Connectivity.
- Hardware Specification Examples.
Author:
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. 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. She has a wide knowledge of the markets and is an expert trader and investor. 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.
For more information visit http://www.researchandmarkets.com/research/446ee8/an_introduction_to