Development of an Algorithm for Forecasting Bitcoin Cryptocurrency Taking into Account Social Trends

The escalating prominence of the bitcoin cryptocurrency has captivated the attention of both investors and academics. Nevertheless, the inherent volatility of bitcoin trading represents a significant risk factor. Consequently, financial participants are compelled to mitigate potential trading losses, resulting in an augmented necessity for bitcoin price prediction. Moreover, public sentiment plays a pivotal role in influencing the valuation dynamics of bitcoin, thereby shaping its market forces. To harness this phenomenon, sophisticated machine learning techniques are employed for comprehensive data analysis, incorporating inputs from diverse sources, notably social media platforms. The research presented herein delineates a novel methodology that entails sentiment analysis of Twitter posts as an integral component of predictive modeling strategies.