Resim işleme ile kripto varlıkların gelecekteki fiyat hareketinin tahmin edilmesi

Digital or virtual currency known as cryptocurrency uses cryptography for security and is not controlled by a central bank. Cryptocurrencies control the issue of new units and record transactions using decentralized technology, such as blockchain. Cryptocurrencies are entirely digital and have no physical form, in contrast to traditional currency, which is real and backed by a government or financial institution. Although Bitcoin was the first and best-known cryptocurrency, there are now thousands of other coins in use, including Ethereum, Tether, BNB, XRP etc. Bitcoin's value can be extremely unstable and it is frequently utilized as an investment or speculative asset. In some locations, it can also be used to make purchases of products and services, and some companies even accept it as payment. Due to the formation of this sector in relation to the growth in earnings and followers, all focus turned in the direction of the cryptocurrency market. Despite the abundance of studies that have been done in the past for this area, less image processing research has been done for the next movement prediction. This paper uses Bitcoin (BTC) dataset and tries to create a tool to project the upcoming price direction. The target variable is a binary type as the next movement will decrease or increase direction. The challenge of forecasting the next day's price movement involves learning from the information from the previous day by transforming them to the images. Since the main goal is using image processing for prediction, Convolutional Neural Networks, one of the most well-known deep learning techniques, and human judgment will be used. As a result, it is aimed to create an algorithm that makes a successful buy-sell decision on BTC and to achieve profitability. However, if the algorithm created for this study has adequate performance and structure on BTC, it will be simple to adapt it to other cryptocurrency kinds in the future.