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Learn Algorithmic Trading: Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis
ZAR 1380
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What Stands Out
Product Details
- Learn how to build and deploy algorithmic trading systems and strategies using Python and advanced data analysis.
- Written by Sebastien Donadio, an experienced Chief Technology Officer at Tradair with a strong background in technology and finance.
- Authored by Sourav Ghosh, a Senior Quantitative Developer specializing in statistical arbitrage market-making and pairs trading strategies.
- Covers a wide range of topics, including low latency, high throughput automated trading systems for multiple asset classes.
- Suitable for both beginners and experienced traders looking to enhance their algorithmic trading knowledge.
- Includes insights and real-world examples from the authors' extensive professional experience in algorithmic trading.
| Item Weight | 1 lbs (450 grams) |
Who Should Buy?
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Beginners in Trading
Those new to trading will find structured learning and foundational knowledge in algorithmic trading concepts helpful.
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Tech-Savvy Individuals
Those with a strong programming background can leverage algorithmic strategies for trading more efficiently and profitably.
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Quantitative Analysts
Professionals analyzing data will benefit from advanced strategies and frameworks that enhance their quantitative trading capabilities.
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Casual Traders
Individuals looking for simple trading methods may find algorithmic trading too complex and technical for their needs.
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Short-Term Investors
Those focused on quick trades may not align with the longer-term strategies taught in algorithmic trading courses.
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Non-Technical Participants
Individuals without a programming background may struggle to grasp the technical aspects of algorithmic trading effectively.
Product Description
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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Pros
- Comprehensive coverage of trading concepts
- Provides detailed examples of using trading indicators
- Can help readers understand the fundamentals of writing a trading strategy
Cons
- Coding errors and broken code in the book
Product Price History
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ZAR 1380
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Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.