• Corpus ID: 14217274

Automated Bitcoin Trading via Machine Learning Algorithms

  title={Automated Bitcoin Trading via Machine Learning Algorithms},
  author={Isaac Madan},
In this project, we attempt to apply machine-learning algorithms to predict Bitcoin price. For the first phase of our investigation, we aimed to understand and better identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. Our data set consists of over 25 features relating to the Bitcoin price and payment network over the course of five years, recorded daily. Using this information we were able to predict the sign of the daily price… 
This work is trying to prove this LSTM architecture provides more accurate results than any other machine learning algorithms and architecture.
Review on Bitcoin Price Prediction Using Machine Learning and Statistical Methods
Bitcoin is invented in 2009 by the pseudonymous Satoshi Nakamoto. Bitcoin is a decentralized digital currency system [1]. Bitcoin is the most acknowledged cryptocurrency in the world, which provide
Prediction of Bitcoin Price Change using Neural Networks
The result shows that long-term prediction has a better result than short- term prediction, with the best accuracy in Multilayer Perceptron when predicting the next 60-days price change and Recurrent Neural Networks when predictingThe next 56- days price change.
Machine Learning Models Comparison for Bitcoin Price Prediction
This research aims to discover the most efficient and highest accuracy model to predict Bitcoin prices from various machine learning algorithms.
Machine Learning for Bitcoin Pricing - A Structured Literature Review
This study analyzes the existing body of literature on empirical bitcoin pricing via machine learning and structure it according to four different concepts to show that research on this topic is highly diverse and that the results of several studies can only be compared to a limited extent.
Forecasting and trading cryptocurrencies with machine learning under changing market conditions
This study examines the predictability of three major cryptocurrencies—bitcoin, ethereum, and litecoin—and the profitability of trading strategies devised upon machine learning techniques (e.g.,
Impact of graph-based features on Bitcoin prices
This research focuses on additional features, such as features outside the transaction network and node-based features inside theTransaction network, which could improve the price prediction of Bitcoin.
Predicting the Price of Bitcoin Using Machine Learning
  • S. Mcnally, Jason Roche, Simon Caton
  • Computer Science
    2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP)
  • 2018
The goal of this paper is to ascertain with what accuracy the direction of Bitcoin price in USD can be predicted through the implementation of a Bayesian optimised recurrent neural network (RNN) and a Long Short Term Memory (LSTM).
Systematic Erudition of Bitcoin Price Prediction using Machine Learning Techniques
  • Prachi Rane, Sudhir Dhage
  • Computer Science
    2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS)
  • 2019
This paper conducts an in-depth study on evolution of Bitcoin and also a systematic review is done on various machine learning algorithms used for predicting the prices.
A Gated Recurrent Unit Approach to Bitcoin Price Prediction
Experimental results show that gated recurring unit (GRU) model with recurrent dropout performs better better than popular existing models and simple trading strategies, when implemented with the proposed GRU model and with proper learning, can lead to financial gain.


Bayesian regression and Bitcoin
  • D. Shah, Kang Zhang
  • Computer Science, Mathematics
    2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)
  • 2014
The method of Bayesian regression and its efficacy for predicting price variation of Bitcoin, a recently popularized virtual, cryptographic currency, is discussed and a simple strategy for trading Bitcoin is devised.