• YUWARAJ T K
• KAVITHA S
• NAVEEN ANAND S
• JASHWANTH B

Crypto currencies and Non-Fungible Tokens (NFTs) have gained significant attention due to their potential for investment and speculation. Crypto currency price forecasting has become an essential aspect of trading and investing in the crypto currency market. Meanwhile, the NFT market has also experienced explosive growth, with unique digital assets being sold for millions of dollars. In this paper, we propose a deep learning approach using Long Short-Term Memory (LSTM) to predict the future prices of various cryptocurrencies and analyze the trends in the NFT market. We collected data on the prices of various cryptocurrencies and NFT sales on popular marketplaces. The LSTM model was trained on the historical data to forecast the prices of cryptocurrencies for the next few days. Additionally, we analyzed the trends in the NFT market, including the top-selling NFTs and their prices. The proposed approach achieved promising results for cryptocurrency price forecasting and provided insights into the NFT market. The results of this study can be used to inform investment decisions and improve trading strategies in the cryptocurrency and NFT markets

Cryptocurrency, Non-Fungible Tokens, LSTM, Deep Learning, Price Forecasting, NFT Market Analysis

"Prediction And Analysis Of Daily NFT And Cryptocurrency Pairs Using Deep Learning Ensemble Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.i155-i160, May-2023, Available :http://www.jetir.org/papers/JETIR2305851.pdf

"Prediction And Analysis Of Daily NFT And Cryptocurrency Pairs Using Deep Learning Ensemble Approach", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppi155-i160, May-2023, Available at : http://www.jetir.org/papers/JETIR2305851.pdf