You're reading from Deep Learning Quick Reference

Product typeBook

Published inMar 2018

Reading LevelExpert

PublisherPackt

ISBN-139781788837996

Edition1st Edition

Languages

Python

Tools

Keras TensorFlow

Concepts

Deep Learning

Author (1)

Mike Bernico

Using an LSTM for time series prediction

In this chapter, we're going to predict the minute-to-minute value of bitcoin in US dollars during the month of June 2017 by using the minute-to-minute price of bitcoin from January to May of 2017. I know this sounds really lucrative but before you buy that boat, I recommend reading through to the end of the chapter; this is something easier said and even easier modeled, than done.

Even if we were able to create the potential for an arbitrage (a difference in price between two markets due to an inefficiency) between USD and bitcoins using some model like this one, developing a trading strategy around bitcoin can be extremely complex because of the delay in finalizing bitcoin transactions. At the time of this writing, the average transaction time for a bitcoin transaction is over an hour! This "illiquidity" should be a consideration...

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Published in: Mar 2018Publisher: PacktISBN-13: 9781788837996

Author (1)

Mike Bernico

Mike Bernico is a Lead Data Scientist at State Farm Mutual Insurance Companies. He also works as an adjunct for the University of Illinois at Springfield, where he teaches Essentials of Data Science, and Advanced Neural Networks and Deep Learning. Mike earned his MSCS from the University of Illinois at Springfield. He's an advocate for open source software and the good it can bring to the world. As a lifelong learner with umpteen hobbies, Mike also enjoys cycling, travel photography, and wine making.
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