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
General
Imprint: |
O'Reilly Media
|
Country of origin: |
United States |
Release date: |
October 2020 |
Authors: |
Yves Hilpisch
|
Dimensions: |
233 x 178 x 31mm (L x W x T) |
Format: |
Paperback
|
Pages: |
474 |
ISBN-13: |
978-1-4920-5543-3 |
Categories: |
Books
|
LSN: |
1-4920-5543-3 |
Barcode: |
9781492055433 |
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