Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading Chen Jun
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading Chen Jun Based on interdisciplinary research into "Directional Change", a new data-driven…
Specifikacia Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading Chen Jun
Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading Chen Jun
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. Instead of sampling prices at fixed intervals (such as daily closing in time series), it samples prices when the market changes direction ("zigzags"). Directional Change is a new way of summarising price changes in the market.
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 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.
Machine Learning in Finance