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Python for Algorithmic Trading: From Idea to Cloud Deployment
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Python for Algorithmic Trading: From Idea to Cloud Deployment
Python is the tool of choice for many traders today, showing readers how to use Python in the fascinating field of algorithmic trading.
Python for Algorithmic Trading: From Idea to Cloud Deployment
物品 #: 33866553

Python for Algorithmic Trading: From Idea to Cloud Deployment

89% of respondents would recommend this to a friend

物品 #: 33866553

HKD 432

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What Stands Out

Comprehensive Guide
Offers a detailed roadmap from conceptualizing trading strategies to deploying algorithms in the cloud, catering to both beginners and experienced traders.
Cloud Integration
Focuses on modern cloud deployment techniques, enabling traders to seamlessly run algorithms with scalable resources, enhancing reliability and efficiency.
Practical Examples
Includes real-world trading scenarios and practical code examples, helping users quickly grasp complex concepts and implement effective trading solutions.

產品詳情

Shop the 1st edition of Python for Algorithmic Trading book. Learn Python trading algorithms and deploy them to the cloud. Buy now on Ubuy 香港.
  • Learn how to apply Python in algorithmic trading
  • Explore backtesting trading strategies and interacting with online platforms
  • Master vectorization for financial analytics with NumPy and pandas
  • Generate market predictions using machine learning and deep learning
  • Implement automated algorithmic trading strategies with popular trading platforms
  • Set up a Python environment for algorithmic trading and cloud deployment
Publisher O'Reilly Media
Publication date December 22, 2020
Edition 1st
Language English
Print length 378 pages
ISBN-10 149205335X
ISBN-13 978-1492053354
Item Weight 2.31 pounds (1.05 kg)
Dimensions 7.25 x 0.75 x 9.25 inches (18.4 x 1.9 x 23.5 cm)

Who Should Buy?

Suitable For
  • Aspiring Traders

    Individuals looking to enter algorithmic trading and need a structured approach to understand Python implementation effectively.

  • Data Scientists

    Professionals wanting to expand their skill set to include finance, and develop trading algorithms using Python.

  • Developers

    Software engineers interested in applying their programming skills to financial applications and cloud deployments.

Not Suitable For
  • Beginner Coders

    Users with no prior programming experience might find the content too advanced without foundational skills in Python.

產品敘述

About This Item

Looking to dive into the exciting world of algorithmic trading? Look no further than "Python for Algorithmic Trading: From Idea to Cloud Deployment 1st Edition." This comprehensive book is the ultimate guide for anyone interested in algorithmic trading using the power of Python. Whether you're a beginner or an experienced trader, this book is packed with valuable insights and techniques to take your trading strategies to the next level. With Python as your weapon of choice, you'll learn how to implement advanced trading algorithms, develop efficient models, and optimize your strategies for maximum profitability. This book takes a hands-on approach, providing real-world examples and practical exercises that will help you apply these concepts to your own trading endeavors. Featuring a Pythonic approach, this book explores various strategies and tools that are essential for Algorithmic Trading success.

You'll discover how to leverage Python libraries and powerful algorithms to backtest your strategies, analyze market data, and manage your trading portfolio with precision. Not only will you gain a deep understanding of the Python programming language, but you'll also learn how to utilize machine learning techniques, neural networks, and sentiment analysis to make informed trading decisions. Dive into the world of high-frequency trading, market making, and order execution, and learn how to harness Python's capabilities to excel in these areas. This book doesn't stop at theory – it also provides practical guidance on deploying your algorithms to the cloud for real-time trading data analysis. With step-by-step instructions, you'll learn how to build a robust algorithmic trading platform that can handle massive amounts of data, giving you a competitive edge in the financial markets. Whether you're an aspiring quant, a seasoned trader, or a programmer looking to apply your skills to the world of finance, "Python for Algorithmic Trading: From Idea to Cloud Deployment 1st Edition" is your go-to resource.

Start your journey today and unlock the potential of algorithmic trading with Python.

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Online Trading Editorial Review

Python for Algorithmic Trading: From Idea to Cloud Deployment offers a comprehensive look at algorithmic trading, but user feedback indicates some shortcomings. Many readers noted that while the book includes Python code, it lacks practical application in trading strategies, as the signals and market order types are insufficiently discussed. Moreover, it appears that the focus on forex and commodities may not suit all retail traders, potentially limiting its accessibility for beginners. Despite its extensive 378 pages and technical insights, some believe that the content is outdated in the context of the evolving use of AI in trading.

Customer Reviews & Ratings

4.4
151 客戶評分
  • 5 星
    70%
  • 4 星
    19%
  • 3 星
    5%
  • 2 星
    1%
  • 1 星
    5%

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優點

  • Comprehensive insight into algorithmic trading fundamentals
  • Well-structured content with clear Python examples
  • Valuable for learning Python code applications
  • Thorough coverage of trading concepts and language

缺點

  • Limited practical trading strategy discussions

Product Price History

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HKD 432

現在訂購，約可在下列時間收貨： Monday, 十月 12

QTY:

存貨僅剩 15 個物品。
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PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.

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特色和優勢

  • Algorithmic trading is now open to small organizations and individual traders using online platforms.
  • This practical book shows you how to use Python in the field of algorithmic trading.
  • Learn how to retrieve financial data, vectorization for financial analytics with NumPy and pandas, and master vectorized backtesting.
  • Explore systematic ways to build and deploy automated algorithmic trading strategies.
  • Generate market predictions by using machine learning and tackle real-time processing of streaming data with socket programming tools.
  • Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms.

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