Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Build and evaluate supervised, unsupervised, and reinforcement learning models for trading strategies using machine learning and alternative data.
Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
منتج #: 45158780

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies

87% من المشترين سيوصون بهذا المنتج لصديق

منتج #: 45158780

OMR 46

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Build and evaluate supervised, unsupervised, and reinforcement learning models for trading strategies using machine learning and alternative data.
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Advanced Predictive Models
This book covers cutting-edge predictive models that help traders identify market signals, empowering them to make informed decisions and enhance profitability in their trading strategies.
Python Focused
Utilizing Python, a dominant language in data science, this book provides practical examples and coding techniques, making it accessible for both beginners and experienced programmers in algorithmic trading.
Market & Alternative Data
It emphasizes using both market and alternative data, ensuring traders can leverage diverse datasets for comprehensive analysis, thereby improving their systematic trading approaches and decision-making processes.

تفاصيل المنتج

Learn how to extract signals from market data and develop systematic trading strategies using machine learning and Python. Shop at Ubuy عمان
  • Design, train, and assess machine learning algorithms for automated trading strategies
  • Create a research process to utilize predictive modeling in trading decisions
  • Utilize NLP and deep learning to extract tradeable signals from market and alternative data
  • Learn to work with market, fundamental, and alternative data to generate tradeable signals
  • Implement machine learning techniques for investment and trading problem-solving
  • Target audience: data analysts, Python developers, investment analysts, and portfolio managers
Publisher Packt Publishing
Publication date 31 July 2020
Edition 2nd edition
Language English
Print length 820 pages
ISBN-10 1839217715
ISBN-13 978-1839217715
Item weight 1.47 kg
Dimensions 19.05 x 4.72 x 23.5 cm

من يجب أن يشتري؟

Suitable For
  • Aspiring Traders

    Ideal for those looking to integrate machine learning techniques into their trading strategies for improved performance.

  • Data Scientists

    Beneficial for individuals with data science backgrounds wanting to apply machine learning in finance and trading contexts.

  • Python Developers

    Great for programmers familiar with Python who want to learn about financial applications and algorithmic trading.

Not Suitable For
  • Beginners in Trading

    Not suitable for novice traders without prior knowledge of trading concepts or programming skills in Python.

وصف المنتج

About This Item

Introducing the "Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition" 2nd Edition. Are you looking to take your algorithmic trading strategies to the next level? Look no further! This comprehensive guide is packed with valuable insights and techniques that will help you harness the power of machine learning to make informed trading decisions. With the rise of big data and advancements in technology, traditional methods of trading are being replaced by more sophisticated approaches. This book dives deep into the world of machine learning and its applications in algorithmic trading, providing you with the tools and knowledge needed to develop successful systematic trading strategies. Using Python, a popular programming language in the world of finance, you'll learn how to build predictive models that can extract signals from market and alternative data.

This will enable you to identify profitable trading opportunities and make data-driven decisions with confidence. Whether you're a seasoned trader or just starting out, this book is suitable for all levels of expertise. It covers a wide range of topics, including quantitative trading models, algorithmic trading algorithms, and systematic trading techniques. You'll also discover how to implement machine learning algorithms for trading and use predictive analytics to optimize your trading strategies. What sets this 2nd edition apart is its updated content and examples.

The author has included the latest developments in the field of algorithmic trading, ensuring that you have access to the most up-to-date information. Additionally, the book provides practical exercises and real-world case studies to reinforce your learning and help you apply the concepts in a practical setting. So, if you're ready to take your algorithmic trading strategies to new heights, "Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition" is the essential guide you've been waiting for. Don't miss out on this opportunity to gain a competitive edge in the financial markets.

Grab your copy today and start making smarter trading decisions.

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Product Buying Guide

For those interested in algorithmic trading and machine learning, the 2nd Edition of 'Machine Learning for Algorithmic Trading' offers a comprehensive guide. This edition includes a wide range of examples, a chapter on strategy backtesting, and coverage of alternative data sources. The book provides valuable insights into the challenges and opportunities of using machine learning in trading.

Product Specifications

  • Stefan Jansen
  • 2nd Edition
  • 800+ pages
  • English

Key Features

  • Comprehensive coverage of ML workflow from universe selection to strategy design
  • Inclusion of over 150 notebooks illustrating ML techniques
  • New chapter on strategy backtesting using backtrader and Zipline
  • Covers application of ML in trading beyond US equities at daily and minute frequency

Usage Scenarios

  • For individuals interested in learning the ML4T workflow for systematic trading strategies
  • For practitioners seeking to replicate recent research applications in ML and trading
  • For those looking to expand into trading different asset classes and trading scenarios

Usage Scenarios

  • Introduction to Machine Learning for Algorithmic Trading by E.P. Chan
  • Advances in Financial Machine Learning by Marcos Lopez de Prado

Some User Review

  • Readers found the coverage of backtesting and the practical examples particularly useful.
  • The inclusion of alternative data sources and extensive resources for further study received positive feedback.
  • Readers appreciated the comprehensive nature of the book and the emphasis on real-world applications.

Competitors

  • Varies based on vendor and format (e.g., Kindle, Hardcover)
  • Comparable to similar books on algorithmic trading and machine learning

Buying Considerations

  • Check availability in your region and preferred format
  • Suitable for readers with some understanding of machine learning and interest in trading
  • Evaluate the extensive coverage, practical examples, and additional resources provided

Conclusion

The 2nd Edition of 'Machine Learning for Algorithmic Trading' offers an in-depth exploration of machine learning workflows in trading, making it a valuable resource for both beginners and experienced practitioners navigating the intersection of ML and financial markets.

عرض أقل

For those interested in algorithmic trading and machine learning, the 2nd Edition of 'Machine Learning for Algorithmic Trading' offers a comprehensive guide. This edition includes a wide range of examples, a chapter on strategy backtesting, and coverage of alternative data sources. The book provides valuable insights into the challenges and opportunities of using machine learning in trading. Continue Reading

أسئلة العملاء & الإجابات

  • سؤال: كيف تتسوق Machine Learning for Algorithmic Trading: Predictive عبر الانترنت من يوباى?

    إجابه: من السهل التسوق في Machine Learning for Algorithmic Trading: Predictive عبر الإنترنت من يوباي. كل ما عليك فعله هو البحث عن المنتج واختيار طريقة الشحن الخاصة بك أثناء الدفع وسيتم توصيله الى عنوانك
  • سؤال: هل Machine Learning for Algorithmic Trading: Predictive متوفر للتسوق عبر الإنترنت في Oman؟

    إجابه: نعم ، في يوباي Oman هذا المنتج متاح لك للتسوق بسعر مناسب. Machine Learning for Algorithmic Trading: Predictive غير متوفر محليًا ولكن يمكنك الوثوق بنا بخدماتنا للشحن السريع.
  • سؤال: كم من الوقت يستغرق الحصول على المنتج بعد تقديم الطلب؟

    إجابه: يختلف وقت تسليم المنتج الذي طلبته حسب ما طلبته وطريقة الشحن التي اخترتها. يتم ذكر وقت التسليم المقدر أثناء عملية الدفع ، لذا كن مرتاحًا أثناء التسوق.

E-business Editorial Review

Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python is a comprehensive resource for both quantitative trading and machine learning enthusiasts. This book, published by Packt Publishing, offers 820 pages of insightful content, delving into electronic trading basics and economic principles while guiding readers through numerous models and ideas. Although some readers appreciated the depth of coverage, they noted that the extensive use of multiple libraries can lead to conflicts that may require troubleshooting. The book effectively lays a solid foundation for implementing strategies using ML algorithms and is filled with valuable information, making it a remarkable reference despite some minor concerns about physical quality and coding challenges.

مراجعات العملاء وتقييماتهم

4.4
409 تقييمات العملاء
  • 5 نجمة
    69%
  • 4 نجمة
    18%
  • 3 نجمة
    7%
  • 2 نجمة
    2%
  • 1 نجمة
    4%

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شارك أفكارك مع عملاء آخرين

إيجابيات

  • In-depth coverage of trading and machine learning basics
  • Extensive models and strategies for practical application
  • Free data sources and open tools introduced
  • Good for both beginners and experienced users
  • Enhances understanding of advanced ML algorithms

سلبيات

  • Physical book quality could be better with pages coming apart

تاريخ سعر المنتج

معلومات مهمة

  • القيود: بالنسبة للمنتجات التي يتم شحنها دولياً، يُرجى ملاحظة أن أي ضمان من الشركة المصنعة قد لا يكون صالحاً؛ قد لا تتوفر خيارات خدمة الشركة المصنعة؛ قد لا تكون أدلة المنتج والتعليمات وتحذيرات السلامة مكتوبة بلغة بلد المقصد؛ قد لا يتم تصميم المنتجات (والمواد المصاحبة لها) وفقاً لمعايير بلد الوجهة والمواصفات ومتطلبات الملصقات؛ وقد لا تتوافق المنتجات مع الجهد الكهربي المستخدم في بلد الوجهة والمعايير الكهربائية الأخرى (تتطلب استخدام محوّل كهربي أو جهاز تحويل إذا كان ذلك مناسباً). المستلم مسؤول عن ضمان إمكانية استيراد المنتج بشكل قانوني إلى بلد الوجهة. عند الطلب من يوباي أو الشركات التابعة لها، يكون المستلم هو المستورد المسجل ويجب أن يلتزم بجميع القوانين واللوائح الخاصة ببلد الوجهة.
  • ليست كل المنتجات المدرجة على يوباي معروضة للبيع، لأن يوباي هو محرك بحث عالمي. المنتجات تخضع للوائح التصدير / التجارة.

OMR 46

اطلب الآن واحصل عليه حول الجمعة, أكتوبر 09

كمية:

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المميزات والفوائد

  • Design, train, and evaluate machine learning algorithms to create trading strategies
  • Work with market, fundamental, and alternative data to generate tradeable signals and alpha factors
  • Backtest and evaluate machine learning-based trading strategies using pandas, NumPy, and pyfolio
  • Optimize portfolio risk and performance analysis using various tools and techniques
  • Train models to predict intraday returns based on high-quality trades and quotes data
  • Ideal for data analysts, scientists, developers, investment analysts, and portfolio managers interested in learning machine learning for trading

ضمان Ubuy

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