Algorithmic Trading

$36.00 $47.00
Algorithmic Trading
Best Seller in Non Fiction

Algorithmic Trading

$36.00 $47.00
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Key Features

  • Explains algorithmic trading strategies used in financial markets
  • Covers quantitative models, trading systems, and automation techniques
  • Includes real-world examples and performance analysis
  • Ideal for traders, quants, and finance professionals

Book Description

This book provides a comprehensive introduction to algorithmic trading and the strategies used by professional traders. It explains how trading decisions can be automated using mathematical models and data-driven approaches.

The content covers a wide range of strategies, including mean reversion, momentum trading, and statistical arbitrage. It also discusses backtesting, risk management, and execution techniques.

Written in a clear and practical style, the book is suitable for both beginners and advanced traders. It helps readers understand how to design and implement their own trading systems.

Overall, this book is an essential resource for mastering algorithmic trading and building profitable trading strategies in modern financial markets.

Product Details

  • Title: Algorithmic Trading: Winning Strategies and Their Rationale
  • Author: Ernie Chan
  • Publisher: Wiley
  • Language: English
  • Binding: Paperback
  • Number of Pages: 224 pages
  • ISBN-10: 1118460143
  • ISBN-13: 978-1118460146
  • Publisher Date: July 2013
  • Weight: 0.9 pounds

Physical Specifications

  • Height: 9.10 inches
  • Width: 6.20 inches
  • Spine Width: 0.60 inches

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  • 5 stars: 3 (100%)
  • 4 stars: 0 (0%)
  • 3 stars: 0 (0%)
  • 2 stars: 0 (0%)
  • 1 star: 0 (0%)
b
bear gill

Algorithmic Trading offers an interesting perspective on how technology and quantitative methods are changing the way financial markets are approached. It helps readers understand the importance of strategy development, historical data, testing, risk management, and disciplined execution. The book encourages a systematic mindset rather than relying solely on emotions or intuition. It is a useful read for anyone interested in quantitative finance and automated trading.

g
geroge

Algorithmic Trading is a useful introduction to systematic trading and the use of technology in financial markets. It explains how trading ideas can be converted into rules, tested with data, and implemented systematically. The book provides valuable insights into quantitative thinking, strategy development, and risk management. A worthwhile read for those interested in finance, programming, and data-driven trading.

H
Harry

Algorithmic Trading is an informative resource for readers interested in automated trading, quantitative strategies, and financial markets. The book provides useful insights into how trading algorithms are designed, tested, and implemented, while introducing important concepts such as market data, strategy development, risk management, and backtesting. The subject matter can be technical, but it offers valuable perspectives for readers who want to understand how technology and quantitative analysis are applied to trading. Overall, a useful reference for students, finance professionals, programmers, and aspiring quantitative traders looking to develop a stronger foundation in algorithmic trading.