Get Free Shipping on orders over $79
Detecting Regime Change in Computational Finance : Data Science, Machine Learning and Algorithmic Trading - Edward P K  Tsang

Detecting Regime Change in Computational Finance

Data Science, Machine Learning and Algorithmic Trading

By: Edward P K Tsang, Jun Chen

Hardcover | 15 September 2020 | Edition Number 1

At a Glance

Hardcover


RRP $175.00

$155.75

11%OFF

or 4 interest-free payments of $38.94 with

 or 

Available for Backorder. We will order this from our supplier however there isn't a current ETA.

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to financial market monitoring and algorithmic trading. Directional Change is a new way of summarising price changes in the market. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). By sampling data in a different way, this book lays out concepts which enable the extraction of information that other market participants may not be able to see. The book includes a Foreword by Richard Olsen and explores the following topics:

  • Data science: as an alternative to time series, price movements in a market can be summarised as directional changes
  • Machine learning for regime change detection: historical regime changes in a market can be discovered by a Hidden Markov Model
  • Regime characterisation: normal and abnormal regimes in historical data can be characterised using indicators defined under Directional Change
  • Market Monitoring: by using historical characteristics of normal and abnormal regimes, one can monitor the market to detect whether the market regime has changed
  • Algorithmic trading: regime tracking information can help us to design trading algorithms

It will be of great interest to researchers in computational finance, machine learning and data science.

About the Authors

Jun Chen

received his PhD in computational finance from the Centre for Computational Finance and Economic Agents, University of Essex in 2019.

Edward P K Tsang

is an Emeritus Professor at the University of Essex, where he co-founded the Centre for Computational Finance and Economic Agents in 2002.

Industry Reviews

"This is the first book of its kind to build on the framework of Directional Change. The concept of Directional Change opens a whole new area of research."

-- From the Foreword by Richard Olsen, Founder and CEO of Lykke, co-founder of OANDA and pioneer in high frequency finance and fintech.

"Financial markets technology and the practice of trading are in a state of constant change. A book that details a completely new concept in trading, however, is very rare. Detecting Regime Change in Computational finance is one such book and Professor Tsang and Dr Chen should be applauded for producing this exciting new work. The concept and framework of directional change in prices is an area of research with much promise!"

-- Dr David Norman, Founder of TTC Institute and author of Professional Electronic Trading (Wileys 2001)

"A creative start at a novel and difficult problem for investors large and small."

-- Professor M. A. H. Dempster, University of Cambridge & Cambridge Systems Associates Limited

"This book shows how AI could be a game-changer in finance"

-- Dr Amadeo Alentorn, Head of Research/Fund Manager at Merian Global Investors


"This is the first book of its kind to build on the framework of Directional Change. The concept of Directional Change opens a whole new area of research."

-- From the Foreword by Richard Olsen, Founder and CEO of Lykke, co-founder of OANDA and pioneer in high frequency finance and fintech.

"Financial markets technology and the practice of trading are in a state of constant change. A book that details a completely new concept in trading, however, is very rare. Detecting Regime Change in Computational finance is one such book and Professor Tsang and Dr Chen should be applauded for producing this exciting new work. The concept and framework of directional change in prices is an area of research with much promise!"

-- Dr David Norman, Founder of TTC Institute and author of Professional Electronic Trading (Wileys 2001)

"A creative start at a novel and difficult problem for investors large and small."

-- Professor M. A. H. Dempster, University of Cambridge & Cambridge Systems Associates Limited

"This book shows how AI could be a game-changer in finance"

-- Dr Amadeo Alentorn, Head of Research/Fund Manager at Merian Global Investors

More in Finance

She's on the Money : Take Charge of Your Financial Future - Victoria Devine
The Trading Game : A Confession - Gary Stevenson

RRP $26.99

$22.99

15%
OFF
The Art of Spending Money : Simple Choices for a Richer Life - Morgan Housel
The Intelligent Investor Third Edition - Benjamin Graham

RRP $38.99

$31.75

19%
OFF
Technofeudalism : What Killed Capitalism - Yanis Varoufakis

RRP $26.99

$22.99

15%
OFF
The Warren Buffett Way : 30th Anniversary Edition - Robert G. Hagstrom

RRP $49.95

$38.75

22%
OFF
Solana Rising : Investing in the Fast Lane of Crypto - Anthony Scaramucci
The Richest Man in Babylon - George S. Clason

RRP $16.99

$15.99

Invest Your Way : How to Grow Your Wealth on Your Terms - Mark LaMonica

SIGNED COPY