CRYPTOCURRENCY PRICE ANALYSIS WITH ARTICAL INTILLEGENCE

Abstract

Cryptocurrency markets have gained significant global attention due to their decentralized nature, high volatility, and potential for substantial financial returns. Accurate analysis of cryptocurrency prices is essential for investors, traders, and financial institutions seeking to make informed investment decisions in dynamic market environments. Traditional statistical methods often face challenges in capturing the complex and nonlinear behavior of cryptocurrency price movements. This paper presents a cryptocurrency price analysis framework using Artificial Intelligence techniques to analyze market trends and predict future price fluctuations. The proposed approach utilizes historical price data, trading volumes, market indicators, social sentiment, and blockchain-related information to develop intelligent predictive models. Machine learning and deep learning algorithms are employed to identify hidden patterns, recognize market behaviors, and generate accurate price forecasts. The integration of Artificial Intelligence enhances analytical capabilities by processing large-scale financial data and adapting to rapidly changing market conditions. Experimental analysis demonstrates that AI-driven models improve prediction accuracy, support risk assessment, and provide valuable insights into cryptocurrency market dynamics. The proposed framework offers an intelligent and scalable solution for cryptocurrency price analysis and financial decision-making.