Price Prediction of Cryptocurrencies based on convolutional neural networks trained on Candlestick Charts

Abstract

In the past few years, there has been a growing interest in cryptocurrencies. However, the risk of incurring losses is high due to the large price fluctuations. Therefore, we want to reduce this risk by predicting the rise and fall of these prices. In this study, we use a convolutional neural network model trained on candlestick charts to make price predictions. In this experiment, the system was trained on the image pattern data of a set of five candlesticks, and predicted whether the price would go up or down. The model trained on the data from 1-minute intervals gave the best prediction accuracy.