Prediction Model for Crypto Currency in R

Posted 2 CommentsPosted in Datathons Solutions, Learn, Team solutions
1
votes

Bitcoins are cryptocurrency systems, that enable its users to exchange payments without passing through a central authority (Eg. Reserve Bank of India, Federal Bank etc). They were developed in 2008, using the Blockchain Technology. In the present article, methods to create prediction models have been implemented. The model considers a sample data of 3 months spaced over 5 minutes for each day. The Training data and Testing data are developed on that dataset for twenty bitcoins; viz: Bitcoin, Bitcoin Cash, Bitcoin Gold, Cardeno, Dash, Dogecoin, Eos, Ethereum, Ethereum Class, Iota, Lisk, Litrcoin, Monero, NEMcoin, Neo, Ripple, Stellar, Tether, Tron, Zcash.
The prediction models used are ARIMA, Exponential Smoothing and Neural Networks on R. The models calculate the values for the next time instant, i.e. next five minutes and the code developed goes on continuing it (predicting next 5-minute price) for all 288 time-points in a day.

Cryptocurrencies forecasting

Posted 1 CommentPosted in Datathons Solutions, Learn, Team solutions
9
votes

Cryptocurrencies are a type of digital currencies that, since their creation, have become a global phenomenon known to most people. Our job is to build a machine learning algorithm able to forecast their price based on a set of given features such as that currency’s price, market cap, circulating supply etc.