• Pranav Vichur
• Jayashree M Kudari
• Abhijith Nair, Raj Abhishek Pandey
• Rishi Chowdary, T Kanak Raj

Cryptocurrencies are currently trending all over the world. Blockchain technology has made the cryptocurrency technology and its network more advanced. Cryptocurrencies are used for safe, anonymous online transactions. Despite being relatively simple to use, traditional statistical methods are flawed by seasonal effects. The best method for predicting cryptocurrency prices is machine learning. In this paper, it is illustrated how cryptocurrency's big data architecture can be applied to provide real-time analysis of cryptocurrency transactions and blocks. Understanding the various machine learning algorithms and techniques is essential when analyzing price dynamics of cryptocurrencies. Depending on the amount of historical data provided, most algorithms achieve similar accuracy. Moreover, researchers demonstrated how social media information and trends influence the reputation of certain cryptocurrencies, demonstrating the predictability of market prices.

Lambda Architecture; ANN (Artificial Neural Network); LSTM (Long Short-Term Memory); RF (Random Forest); GRB (Gradient Boosting Machine); Tweepy; Decentralization;

"A SURVEY ON CRYPTOCURRENCY BIG-DATA ARCHITECTURE, PRICE PREDICTION MACHINE LEARNING ALGORITHMS AND SOCIAL MEDIA SENTIMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.194-202, June-2022, Available :http://www.jetir.org/papers/JETIRFM06035.pdf

"A SURVEY ON CRYPTOCURRENCY BIG-DATA ARCHITECTURE, PRICE PREDICTION MACHINE LEARNING ALGORITHMS AND SOCIAL MEDIA SENTIMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp194-202, June-2022, Available at : http://www.jetir.org/papers/JETIRFM06035.pdf