book

Practical MATLAB Deep Learning: A Project-Based Approach

Name: Practical MATLAB Deep Learning: A Project-Based Approach
ISBN: 9781484251249

by Michael Paluszek, Stephanie Thomas

February 2020

Intermediate to advanced

260 pages

5h 41m

English

Apress

Content preview from Practical MATLAB Deep Learning: A Project-Based Approach

Michael Paluszek and Stephanie ThomasPractical MATLAB Deep Learninghttps://doi.org/10.1007/978-1-4842-5124-9_10

10. Stock Prediction

Michael Paluszek¹ and Stephanie Thomas¹

(1)

Plainsboro, NJ, USA

10.1 Introduction

The goal of a stock prediction algorithm is to recommend a portfolio of stocks that will maximize an investor’s return. The investor has a finite amount of money and wants to create a portfolio to maximize her or his return on investment. The neural network in this chapter will predict the behavior of a stock given its history. This could then be used to select a portfolio of stocks with some idea of the future performance. The stock market model is based on Geometric Brownian Motion. Given that ...

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Practical MATLAB Deep Learning: A Projects-Based Approach

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Practical MATLAB Deep Learning: A Project-Based Approach

by Michael Paluszek, Stephanie Thomas

10. Stock Prediction

10.1 Introduction

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.