Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
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Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
Artikelnr.: 20458927

Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis

Artikelnr.: 20458927

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Besondere Merkmale

Comprehensive Curriculum
Covers essential concepts of algorithmic trading, enabling learners to grasp complex strategies and market dynamics effectively for enhanced trading performance.
Hands-on Experience
Provides practical, real-world simulations, allowing users to refine their skills while minimizing financial risk and gaining confidence before live trading.
Expert Insights
Access to industry experts and mentorship, delivering personalized guidance and insider knowledge to accelerate the learning process and improve decision-making.

Produktdetails

Shop Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis online at a best price in Luxembourg. 178934834X
  • Learn algorithmic trading with real-world examples in financial markets
  • Build algorithmic trading robots with no human intervention
  • Understand the components of modern algorithmic trading systems and strategies
  • Apply machine learning in algorithmic trading signals and strategies using Python
  • Learn to analyze and deploy trading strategies in live markets using Python
  • Ideal for software engineers, financial traders, data analysts, and entrepreneurs
Publisher Packt Publishing
Publication date November 7, 2019
Language English
Print length 394 pages
ISBN-10 178934834X
ISBN-13 978-1789348347
Item Weight 1.49 pounds (680 grams)
Dimensions 7.5 x 0.89 x 9.25 inches (19.1 x 2.3 x 23.5 cm)

Für wen ist das Produkt geeignet?

Suitable For
  • Beginners in Trading

    Those new to trading will find structured learning and foundational knowledge in algorithmic trading concepts helpful.

  • Tech-Savvy Individuals

    Those with a strong programming background can leverage algorithmic strategies for trading more efficiently and profitably.

  • Quantitative Analysts

    Professionals analyzing data will benefit from advanced strategies and frameworks that enhance their quantitative trading capabilities.

Not Suitable For
  • Casual Traders

    Individuals looking for simple trading methods may find algorithmic trading too complex and technical for their needs.

PRODUKTBESCHREIBUNG

Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis

About This Item

Product Title: Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis Description: Are you ready to dive into the exciting world of algorithmic trading? Learn Algorithmic Trading is the ultimate guide that will help you build and deploy your own trading systems and strategies using Python and advanced data analysis techniques. Written by industry experts Sebastien Donadio, Chief Technology Officer at Tradair, and Sourav Ghosh, a Senior Quantitative Developer with years of experience in high-frequency algorithmic trading, this comprehensive book takes you on a journey into the fascinating and profitable world of algorithmic trading. With Algorithmic Trading Python, Algorithmic Trading Systems, and Algorithmic Trading Strategies as some of the key topics covered in this book, you'll gain the knowledge and skills needed to develop your own automated trading systems. Python, known for its simplicity and versatility, is the programming language of choice for many professional traders and this book will teach you how to harness its power for algorithmic trading. Whether you're a beginner or an experienced trader looking to enhance your skills, this book has something for everyone. You'll learn the fundamentals of algorithmic trading, including quantitative trading strategies and market-making techniques.

The authors delve into the use of statistical arbitrage and pairs trading strategies, giving you the tools to create profitable trading systems for the most liquid global futures contracts. But it doesn't stop there. Learn Algorithmic Trading also covers topics such as machine learning for algorithmic trading, algorithmic trading system design, best practices for risk management, and the use of algorithmic trading indicators. You'll also find examples, case studies, and exercises to reinforce your understanding of the concepts discussed. Whether you're interested in building your own automated trading systems, enhancing your quantitative trading strategies, or simply gaining a deeper understanding of algorithmic trading, this book is your gateway to success.

Don't miss out on this opportunity to learn from industry experts and take your trading to the next level. Get your copy of Learn Algorithmic Trading today and start building profitable trading systems with Python and advanced data analysis techniques!.

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Data Processing Editorial Review

Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis is a comprehensive guide for those interested in understanding the concepts and process of building and deploying algorithmic trading systems. The book covers a wide range of topics and provides detailed examples of their proper use. While the book has received mixed reviews, with some customers expressing frustration over broken code and coding errors, others have found the information to be valuable and groundbreaking. The book is praised for its coverage of trading concepts and its ability to help readers grasp the fundamentals of writing a trading strategy. One customer mentioned that the book provides the "keys to the kingdom" and can transform aspiring traders into full-fledged engineers of their own trading systems. The book follows a structured approach, explaining each topic and providing corresponding code examples. However, several customers have pointed out issues with the code provided in the book. They mentioned encountering coding errors and having to rewrite parts of the examples to get them to function correctly. This has led to frustration and a lack of trust in the accuracy of the code. Despite these concerns, the book is commended for its coverage of trading indicators and their proper use. It also provides reasonably detailed code examples to help readers implement these indicators for general use. It is worth noting that the book does not provide examples of acquiring stock data from the internet, which may limit its practical application for some readers. Overall, while the book has value in terms of its information and concepts, the coding errors and lack of response from the publisher and author regarding these errors have detracted from the overall experience.

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Vorteile

  • Comprehensive coverage of trading concepts
  • Provides detailed examples of using trading indicators
  • Can help readers understand the fundamentals of writing a trading strategy

Nachteile

  • Coding errors and broken code in the book

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€ 62

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