Deep Learning for Finance

Tình trạng: Còn hàng

Tác giả: O'Reilly Media

Loại: Artificial Intelligence

Deep Learning for Finance book is intended for a wide audience, including professionals and academics in finance, data scientists, quantitative traders, and students of finance of any level. It provides a thorough introduction to the use of machine and deep learning in time series prediction, and it is an essential resource for anyone who wants to understand and apply these powerful techniques.

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Mô tả

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm : STT956
📒 Nhà xuất bản : O'Reilly Media; 1st edition (January 8, 2024)
📒 Tác giả : Sofien Kaabar
📒 Ngôn ngữ : Tiếng Anh
📒 ISBN : 978-1098148393
📒 Số trang : 360 trang
📒 Hình thức : Bìa Mềm, IN ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm

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.

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 outside-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.

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

📒 2. Tác giả

Sofien Kaabar is a financial author, trading consultant, and institutional market strategist specializing in the currencies market with a focus on Technical & Quantitative topics. Sofien's goal is to make Technical Analysis objective by incorporating clear conditions that can be analyzed and created with the use of technical indicators that rival existing ones.