Free shipping on orders over $99
Reinforcement Learning for Finance

Reinforcement Learning for Finance

A Python-Based Introduction

by Yves J. Hilpisch
Paperback
Publication Date: 31/10/2024

Share This Book:

51%
OFF
RRP  $133.00

RRP means 'Recommended Retail Price' and is the price our supplier recommends to retailers that the product be offered for sale. It does not necessarily mean the product has been offered or sold at the RRP by us or anyone else.

$65.80
or 4 easy payments of $16.45 with
afterpay

Reinforcement learning (RL) has led to several breakthroughs in AI. The use of the Q-learning (DQL) algorithm alone has helped people develop agents that play arcade games and board games at a superhuman level. More recently, RL, DQL, and similar methods have gained popularity in publications related to financial research.

This book is among the first to explore the use of reinforcement learning methods in finance.

Author Yves Hilpisch, founder and CEO of The Python Quants, provides the background you need in concise fashion. ML practitioners, financial traders, portfolio managers, strategists, and analysts will focus on the implementation of these algorithms in the form of self-contained Python code and the application to important financial problems.

This book covers:

  • Reinforcement learning
  • Deep Q-learning
  • Python implementations of these algorithms
  • How to apply the algorithms to financial problems such as algorithmic trading, dynamic hedging, and dynamic asset allocation

This book is the ideal reference on this topic. You'll read it once, change the examples according to your needs or ideas, and refer to it whenever you work with RL for finance.

Dr. Yves Hilpisch is founder and CEO of The Python Quants, a group that focuses on the use of open source technologies for financial data science, AI, asset management, algorithmic trading, and computational finance.

ISBN:
9781098169145
9781098169145
Category:
Computer vision
Format:
Paperback
Publication Date:
31-10-2024
Language:
English
Publisher:
O'Reilly Media, Incorporated
Country of origin:
United States
Dimensions (mm):
229x183x11.94mm
Weight:
0.39kg

This item is In Stock in our Sydney warehouse and should be sent from our warehouse within 1-2 working days.

Once sent we will send you a Shipping Notification which includes online tracking.

Please check the estimated delivery times below for your region, for after your order is despatched from our warehouse:

ACT Metro  2 working days

NSW Metro  2 working days

NSW Rural  2 - 3 working days

NSW Remote  2 - 5 working days

NT Metro  3 - 6 working days

NT Remote  4 - 10 working days

QLD Metro  2 - 4 working days

QLD Rural  2 - 5 working days

QLD Remote  2 - 7 working days

SA Metro  2 - 5 working days

SA Rural  3 - 6 working days

SA Remote  3 - 7 working days

TAS Metro  3 - 6 working days

TAS Rural  3 - 6 working days

VIC Metro  2 - 3 working days

VIC Rural  2 - 4 working days

VIC Remote  2 - 5 working days

WA Metro  3 - 6 working days

WA Rural  4 - 8 working days

WA Remote  4 - 12 working days

 

Express Post is available if ALL items in your Shopping Cart are listed as 'In Stock'.

Reviews

Be the first to review Reinforcement Learning for Finance.