Artificial Intelligence in Finance: A Python-Based Guide

Tình trạng: Còn hàng

Tác giả: O'Reilly Media

Loại: Artificial Intelligence

Artificial Intelligence in Finance book is based on years of practical experience in developing, backtesting, and deploying AI-powered algorithmic trading strategies. The approaches and examples presented are mostly based on my own research since the field is, by nature, not only nascent, but also rather secretive.

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Mô tả

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm : STT351
📒 Nhà xuất bản : O'Reilly Media; 1st edition (November 17, 2020)
📒 Tác giả : Yves Hilpisch
📒 Ngôn ngữ : Tiếng Anh
📒 ISBN : 1492055433
📒 Số trang : 475 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

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading.

Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book.

In five parts, this guide helps you:

Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI)
Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice
Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets
Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies
Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

📒 2. Tác giả

Dr. Yves J. Hilpisch is founder and managing partner of The Python Quants (http://tpq.io), a group that focuses on the use of open source technologies for financial data science, algorithmic trading and computational finance.