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Item #:
90458706
Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading)
85% of respondents would recommend this to a friend
Item #:
90458706
KGS 7041
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Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field.
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What Stands Out
Comprehensive Guide
Covers all aspects of building algorithmic trading systems, making it suitable for beginners and experienced traders alike. Offers step-by-step strategies to implement successful quantitative trading methodologies.
Expert Insights
Authored by industry experts, providing valuable knowledge and real-world examples that enhance understanding. Enables users to learn from experienced professionals, improving their trading strategies and decision-making.
Practical Applications
Focuses on actionable techniques and tools, ensuring readers can apply concepts immediately. Addresses common trading challenges, empowering readers to create effective algorithms that adapt to market changes.
Product Details
- Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the fieldIn the newly revised Second Edition of Quantitative Trading: How to Build Your Own Algorithmic Trading Business, quant trading expert Dr. Ernest P. Chan shows you how to apply both time-tested and novel quantitative trading strategies to develop or improve your own trading firm.You'll discover new case studies and updated information on the application of cutting-edge machine learning investment techniques, as well as:Updated back tests on a variety of trading strategies, with included Python and R code examplesA new technique on optimizing parameters with changing market regimes using machine learning.A guide to selecting the best traders and advisors to manage your moneyPerfect for independent retail traders seeking to start their own quantitative trading business, or investors looking to invest in such traders, this new edition of Quantitative Trading will also earn a place in the libraries of individual investors interested in exploring a career at a major financial institution.
| Publisher | Wiley |
| Publication date | 16 Sept. 2021 |
| Edition | 2nd |
| Language | English |
| Print length | 256 pages |
| ISBN-10 | 1119800064 |
| ISBN-13 | 978-1119800064 |
| Item weight | 210 g |
| Dimensions | 16 x 2.79 x 23.11 cm |
Who Should Buy?
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Aspiring Traders
Individuals eager to start algorithmic trading and seeking practical strategies to build their trading business.
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Data Analysts
Professionals proficient in data analysis looking to apply their skills in the financial markets through algorithmic trading.
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Finance Students
Students studying finance who wish to gain insights into quantitative methods and algorithmic trading applications.
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Beginner Investors
Individuals with no trading experience may find the material too advanced without foundational knowledge in trading.
Product Description
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Customer Questions & Answers
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Question:
Who is the target audience for this book?
Answer: This book is perfect for independent retail traders seeking to start their own quantitative trading business or investors looking to invest in such traders. -
Question:
What will the readers learn from this book
Answer: Readers will learn time-tested and novel quantitative trading strategies as well as new case studies and the latest machine learning investment techniques, optimization techniques with changing market regimes, and a guide to selecting the best traders and advisors to manage their money. -
Question:
Does the book provide code examples?
Answer: Yes, the book provides both Python and R code examples.
Investments & Securities Editorial Review
Quantitative Trading How To Build Your Own Algorithmic Trading Business Wiley Trading presents a valuable resource for those interested in launching their own algorithmic trading ventures. Readers appreciate the insights on backtesting and the diverse strategies for quantitative trading, which the author, Ernest Chan, outlines effectively. While some find the mathematical content challenging, others value the practical overview it provides. The book highlights the importance of understanding common trading obstacles like slippage and liquidity in backtesting, making it a relevant read for both novices and those with some trading experience. Despite mixed reviews regarding the readability of the code examples, many recommend it for its conceptual clarity.
Customer Reviews & Ratings
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Pros
- Valuable insights on algorithmic trading strategies
- Practical overview of backtesting techniques
- Accessible writing style for beginners
- Highlights common trading obstacles effectively
- Good resource for starting a quantitative fund
Cons
- Some code examples can be difficult to understand
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Features & Benefits
- Learn time-tested and novel quantitative trading strategies.
- Discover case studies and the latest machine learning investment techniques.
- Get Python and R code examples.
- Learn optimization techniques with changing market regimes.
- Guide to selecting the best traders and advisors to manage your money.
- Suitable for independent retail traders or investors looking for such traders.
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