Published Paper Details:

Cryptocurrency is becoming more popular. The first cryptocurrency to be created was called Bitcoin. One of a most popular cryptocurrencies is bitcoin, and more study is being done on price prediction. Establishing a more plentiful index system and prediction model with an improved prediction effect is required to more accurately and efficiently forecast variations in the price of Bitcoin. Because of this, there is a significant risk for investors investing in Bitcoin because its price fluctuates every second. Interest in trading that is aided by artificial intelligence and machine learning has grown over the last several years. Hence, to forecast Bitcoin's price, it is recommended to use ML technologies. This paper aims to examine machine learning algorithms that have the highest predictive power for Bitcoin prices. This study addresses the critical need for accurate Bitcoin price prediction by integrating machine learning techniques with historical data. Through extensive experimentation and comparative analysis, the Extreme Gradient Boosting Classifier (XGBoost) emerges as the most effective model, achieving an impressive accuracy of 99.08%. This study helps traders in the unpredictable cryptocurrency market make better decisions by using powerful algorithms and preprocessing approaches