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In today's modern economy, stock market for financial data forecasting and analysis play a vital role. The stock market process is obviously full of uncertainty, and it is strongly influenced by a lot of factors. This grew to be a powerful factor in business and finance. There are numerous types of algorithms used for predicting. An analysis of neural network and Machine Learning techniques for stock market price forecasting is discussed in this paper. In this paper, we introduce a (i,j)*-N-closed sets in Nano bi-topological spaces. This class lies between (i,j)*-N𝑔 𝛼-cld sets and (i,j)*-N𝛼g-cld sets.