Chapter: Introduction to Financial Markets and Algorithmic Trading

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Home > Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios > Introduction to Financial Markets and Algorithmic Trading

Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios |

Tshepo Chris Nokeri

Apress

Implementing Machine Learning for Finance: A Systematic Approach to Predictive Risk and Performance Analysis for Investment Portfolios

Introduction to Financial Markets and Algorithmic Trading

Chapter Info

Authors

Tshepo Chris Nokeri

ARI Id

1665319922753_5904941

Access

Not Available Free

Pages

1-20

DOI

10.1007/978-1-4842-7110-0_1

Chapter URL

https://rd.springer.com/chapter/10.1007/978-1-4842-7110-0_1

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Chapters/Headings	Author(s)	Pages	Info
Front Matter		i-xviii
Introduction to Financial Markets and Algorithmic Trading	Tshepo Chris Nokeri	1-20
Forecasting Using ARIMA, SARIMA, and the Additive Model	Tshepo Chris Nokeri	21-50
Univariate Time Series Using Recurrent Neural Nets	Tshepo Chris Nokeri	51-71
Discover Market Regimes	Tshepo Chris Nokeri	73-90
Stock Clustering	Tshepo Chris Nokeri	91-100
Future Price Prediction Using Linear Regression	Tshepo Chris Nokeri	101-123
Stock Market Simulation	Tshepo Chris Nokeri	125-141
Market Trend Classification Using ML and DL	Tshepo Chris Nokeri	143-165
Investment Portfolio and Risk Analysis	Tshepo Chris Nokeri	167-178
Back Matter		179-182
Chapters/Headings	Author(s)	Pages	Info

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