• G Balamurugan
• Mr. D.Sheik Mohamed Rashid
• Dr.S Sajitha Banu
• M Mohamed Rafi
• K.Ramya

Machine learning methods have been applied in many fields, including finance. Risk and sentiment analysis in particular can benefit from algorithmic machine learning models and their ability to predict the future price of securities. This article presents our experience in applying machine learning methods to analyze cryptos like bitcoin or ether, which represent an entirely new asset class with no historical data at all. We discuss our methodology for evaluating risk for these instruments, which may be useful for investors who are new to cryptocurrencies. We also take look at the differences between traditional equity- and bond-based markets, as well as emerging crypto markets, as they relate to financial risk measures and how we can apply them to predict future price movements.

Bitcoin, Machine Learning, Prediction, ML Algorithms, Python

"MACHINE LEARNING BASED ALGORITHMIC APPROACH for BITCOIN PRICE PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.e711-e715, August-2022, Available :http://www.jetir.org/papers/JETIR2208486.pdf

"MACHINE LEARNING BASED ALGORITHMIC APPROACH for BITCOIN PRICE PREDICTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. ppe711-e715, August-2022, Available at : http://www.jetir.org/papers/JETIR2208486.pdf