New Book Alert!
New Book Alert!
The Fruits Of My Research on Time Series Analysis
After months of research and work, my new book with O’Reilly Media is finally out! Deep Learning for Finance (~370 pages) is now available for purchase.
What This Book Features
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 and backtest trading algorithms based on machine learning and reinforcement learning.
In this book, I introduce deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z basic guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Expect the following:
Understand and create machine learning and deep learning models.
Explore the details behind reinforcement learning and see how it’s used in time series.
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 models’ profitability and predictability to understand their limitations and potential.
Also, if you have any questions while reading the book, you can comment your questions in this article, and I’ll respond.
The table of contents is as follows:
Introducing Data Science And Trading
Essential Probabilistic Methods For Deep Learning
Descriptive Statistics And Data Analysis
Linear Algebra And Calculus For Deep Learning
Introducing Technical Analysis
Introductory Python For Data Science
Machine Learning Models For Time Series Prediction
Deep Learning For Time Series Prediction I
Deep Learning For Time Series Prediction II
Deep Reinforcement Learning For Time Series Prediction
Advanced Techniques And Strategies
Market Drivers And Risk Management
A Dynamic Book
As most non-fiction books nowadays, the content needs to be regularly updated with the evolution of concepts, conclusions, and code (if applicable).
With this book, you will have the possibility to ask your questions (on the O’Reilly platform) and provide any feedback so that you will get exactly what you need. The code can also be updated in case a library becomes deprecated or if an optimization technique is found. The most important thing is that the book must stay relevant to you, the reader.
The following are the major links from where you can download or order the book (with the official release in a few days).
Also, as a special promotion, when you buy this book on Amazon, you will get a free PDF copy of one of my latest books “The Fibonacci Trading Book”. For this, comment on this article, and I’ll be in contact. Additionally, you can also comment on any tweet or LinkedIn publication of mine, and I’ll get in touch.
On O’Reilly’s Website
You can find the book on O’Reilly’s official website which has a huge number of online books:
On Amazon
You can find the book on Amazon in the following link:
To Sum Up
Thanks to all my ~ 32,000 followers on Medium for your interest in my research and your interactions with me throughout my ~1,500 articles. I have learnt a lot from your feedback and ideas and I will continue my sharing my work as long as I have something new to offer in the trading community.
If you are interested in previous books, feel free to contact me on LinkedIn and X.
Sofien KAABAR,
Congratulations ! Bought one already : ) Learn a lot from your work.