• Jyotirmay Saxena
• Pawan Singh

The dynamic and volatile nature of cryptocurrency markets poses significant challenges for investors seeking to predict price movements accurately. This paper explores the transformative potential of machine learning algorithms in forecasting cryptocurrency prices, highlighting the innovative methodologies and models that underpin this technology. By leveraging large datasets and sophisticated analytical techniques, machine learning offers unprecedented insights into market trends and patterns, enabling more precise and timely predictions. The study delves into various machine learning approaches, including neural networks, regression models, and ensemble methods, to assess their efficacy in predicting price fluctuations. Furthermore, it examines the integration of market sentiment analysis and technical indicators to enhance predictive accuracy. The findings underscore the promise of machine learning as a powerful tool in the cryptocurrency domain, paving the way for more informed investment decisions and strategic market engagement. This paper contributes to the ongoing discourse on the intersection of technology and finance, demonstrating how machine learning can revolutionize the way we understand and navigate the complexities of cryptocurrency markets.

Cryptocurrency, Trading, AI in trading, Bitcoin

"Unveiling the Future with Machine Learning Powered Cryptocurrency Price Forecast", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.b712-b722, June-2024, Available :http://www.jetir.org/papers/JETIR2406177.pdf

"Unveiling the Future with Machine Learning Powered Cryptocurrency Price Forecast", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppb712-b722, June-2024, Available at : http://www.jetir.org/papers/JETIR2406177.pdf