Ethereum price prediction with deep learning

Artificial intelligence has significantly integrated into many aspects of our lives, greatly simplifying our daily routines. This convenience is provided across various fields. In particular, in financial technologies, artificial intelligence and machine learning methods have transformed the processes of prediction and analysis in cryptocurrency markets. In this context, price predictions of popular cryptocurrencies like Ethereum have become more accurate and reliable using advanced AI models. Investors can better understand market movements and make more informed decisions through these models. AI-based analyses not only improve investment strategies but also provide more effective risk management against market fluctuations. Thus, security and profitability are enhanced in the cryptocurrency world, supporting the sustainability of the digital financial ecosystem. This study investigates the use of AI models in predicting the price of the Ethereum cryptocurrency. Using LSTM, ANN, GRU, and RNN models, analyses were conducted on Ethereum price data. The aim of the study is to evaluate the effectiveness of these models in price prediction and to demonstrate their forecasting capabilities in the cryptocurrency market. The findings provide significant insights into how AI techniques can be utilized in financial markets.