Description
Book Synopsis: Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create, trade, and back-test trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents out-of-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization.
Create and understand machine learning and deep learning models.
Explore the details behind reinforcement learning and see how it's used in trading.
Understand how to interpret performance evaluation metrics.
Examine technical analysis and learn how it works in financial markets.
Create technical indicators in Python and combine them with ML models for optimization.
Evaluate the profitability and the predictability of the models to understand their limitations and potential.
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Details
Deep learning is revolutionizing the world of finance and trading, but it can be daunting for professional traders to get started. That's why we developed Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python. This comprehensive guide will walk you through the process of developing a deep learning trading model from scratch using Python, giving you the tools you need to succeed.
Sofien Kaabar, a renowned financial author and trading consultant, shares his expertise in deep learning strategies that combine technical and quantitative analyses. By melding deep learning concepts with traditional technical analysis, this unique book presents groundbreaking ideas in the world of financial trading. Whether you're a seasoned trader or just starting out, this book will help you enhance your trading strategies and take your performance to the next level.
In addition to teaching you how to create and understand machine learning and deep learning models, this book also explores reinforcement learning and how it can be applied in trading. You'll learn how to interpret performance evaluation metrics, utilize technical analysis in financial markets, and even create your own technical indicators in Python. By optimizing and evaluating the profitability and predictability of your models, you'll gain a comprehensive understanding of their limitations and potential.
Don't miss out on this opportunity to unlock the power of deep learning in your trading. Grab your copy of Deep Learning for Finance today and discover the revolutionary techniques that will propel you to success.
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