Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading)
Master the lucrative discipline of quantitative trading with this insightful handbook from a master in the field.
Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading)
товар №: 90458706

Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading)

товар №: 90458706

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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.

Информация о продукте

Shop Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading) online at a best price in Kyrgyzstan. 1119800064
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?

Suitable For
  • Aspiring Traders

    Individuals eager to start algorithmic trading and seeking practical strategies to build their trading business.

  • Data Analysts

    Professionals proficient in data analysis looking to apply their skills in the financial markets through algorithmic trading.

  • Finance Students

    Students studying finance who wish to gain insights into quantitative methods and algorithmic trading applications.

Not Suitable For
  • Beginner Investors

    Individuals with no trading experience may find the material too advanced without foundational knowledge in trading.

ОПИСАНИЕ ТОВАРА

Quantitative Trading: How to Build Your Own Algorithmic Trading Business (Wiley Trading)

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Вопросы и ответы клиентов

  • вопрос: Who is the target audience for this book?

    отвечать: This book is perfect for independent retail traders seeking to start their own quantitative trading business or investors looking to invest in such traders.
  • вопрос: What will the readers learn from this book

    отвечать: 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.
  • вопрос: Does the book provide code examples?

    отвечать: 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.

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Плюсы

  • 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

Минусы

  • Some code examples can be difficult to understand

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