Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Automatic Sentiment Analysis in Polish Language Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Application of Machine Learning Algorithms for Bitcoin Automated Trading

Author : Kamil Żbikowski

Published in: Machine Intelligence and Big Data in Industry

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The aim of this paper is to compare and analyze different approaches to the problem of automated trading on the Bitcoin market. We compare simple technical analysis method with more complex machine learning models. Experimental results showed that the performance of tested algorithms is promising and that Bitcoin market is still in its youth, and further market opportunities can be found. To the best of our knowledge, this is the first work that tries to investigate applying machine learning methods for the purpose of creating trading strategies on the Bitcoin market.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Automatic Clustering Methods of Offers in an E-Commerce Marketplace
next chapter Maximal Discernibility Discretization of Attributes—A FPGA Approach
Literature
1.
Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. Consulted 1(2012), 28 (2008)
2.
Androulaki, E., Karame, G., Roeschlin, M., Scherer, T., Capkun, S.: Evaluating user privacy in bitcoin. In: Sadeghi, A.R. (ed.) Financial Cryptography and Data Security. Lecture Notes in Computer Science, vol. 7859, pp. 34–51. Springer, Berlin (2013)CrossRef
3.
Koshy, P., Koshy, D., McDaniel, P.: An analysis of anonymity in bitcoin using p2p network traffic. In: Christin, N., Safavi-Naini, R. (eds.) Financial Cryptography and Data Security, pp. 469–485. Lecture Notes in Computer Science. Springer, Berlin (2014)
4.
Eyal, I., Sirer, E.: Majority is not enough: Bitcoin mining is vulnerable. In: Christin, N., Safavi-Naini, R. (eds.) Financial Cryptography and Data Security, pp. 436–454. Lecture Notes in Computer Science. Springer, Berlin (2014)
5.
Żbikowski, K.: Time series forecasting with volume weighted support vector machines. In Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) Beyond Databases, Architectures, and Structures. Communications in Computer and Information Science. Springer International Publishing, Berlin, Vol. 424, pp. 250–258 (2014)
6.
Cortes, C., Vapnik, V.: Support-vector networks. Mach. learn. 20(3), 273–297 (1995)
7.
Wen, Q., Yang, Z., Song, Y., Jia, P.: Automatic stock decision support system based on box theory and svm algorithm. Expert Syst. Appl. 37(2), 1015–1022 (2010)CrossRef
8.
Żbikowski, K.: Using volume weighted support vector machines with walk forward testing and feature selection for the purpose of creating stock trading strategy. Expert Syst. Appl. 42(4), 1797–1805 (2015)
Metadata
Title
Application of Machine Learning Algorithms for Bitcoin Automated Trading
Author
Kamil Żbikowski
Copyright Year
2016
Book
Machine Intelligence and Big Data in Industry

Print ISBN: 978-3-319-30314-7

Electronic ISBN: 978-3-319-30315-4

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-30315-4_14

Premium Partner

    Image Credits