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You're reading from Java Deep Learning Projects Implement 10 real-world deep learning applications using Deeplearning4j and open source APIs

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781788997454

Length 436 pages

Edition 1st Edition

Languages

Java

Tools

Deeplearning4j

Concepts

Deep Learning

Table of Contents (17) Chapters

Title Page

Packt Upsell

Contributors

Preface

1. Getting Started with Deep Learning FREE CHAPTER

2. Cancer Types Prediction Using Recurrent Type Networks

3. Multi-Label Image Classification Using Convolutional Neural Networks

4. Sentiment Analysis Using Word2Vec and LSTM Network

5. Transfer Learning for Image Classification

6. Real-Time Object Detection using YOLO, JavaCV, and DL4J

7. Stock Price Prediction Using LSTM Network

8. Distributed Deep Learning – Video Classification Using Convolutional LSTM Networks

9. Playing GridWorld Game Using Deep Reinforcement Learning

10. Developing Movie Recommendation Systems Using Factorization Machines

11. Discussion, Current Trends, and Outlook

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Index

State-of-the-art automated stock trading

Usually, in a security exchange, exchanges maintain order book lists of all buy and sell orders with their quantity and prices, and they execute them when a match is found between somebody buying and selling. In addition, exchanges keep and provide statistics about state trading, often captured as OHCL (short for, open-high-close-low) and volume for both currencies of a trader pair.

By the way, bar charts are used, showing open, high, low, and closing prices. Unlike line charts, OHLC charts enable technical analysts to evaluate intra-day volatility and see where prices opened and closed. Take a look at this diagram:

OHLC pricing model showing the open, high, low, and close prices of a certain time period (source: http://en.tradimo.com/tradipedia/ohlc-chart/)

This data is being presented as aggregated in some periods, from seconds to days, and even months. There are dedicated servers working on collecting this data for professional traders and institutions...