ABSTRACT
Nowadays almost 98% people in India deposit their money in banks, insurance, mutual fund, and soon rather than investing their money in Stock Market. As they know it is easiest way to earn some interest on wealth, they only need some prior knowledge like they certified from RBI, when people choose them for gaining some extra worth on their wealth. The main reason we found during our research they have lack of knowledge, as well as some of them, are not aware of Stock Market. Those who know about Stock Market but they didn’t want to spend their time on researching about how they invest their money in Stock Market that's why here we are for helping them out of this curiosity. We are currently introducing a new stock market price forecasting model using machine learning technique. This model predicts the next week's stock market price outcome and is trained by looking at previous data to obtain information that can be used to predict in an accurate manner. As peoples know it's hard to predict with 100% accuracy because the stock market price depends on various factors like Human Psychology, Natural Calamities, Political factors, Current Events, etcetera. There is so many methods for stock market price forecasting like Support Vector Machine (SVM), Reinforcement learning, etcetera. We proposed our model through Machine Learning pipeline method where we are using long short-term memory (LSTM) because as per our research we find out LSTM is better method than others to Stock Market Price Forecasting of NSE_TATA.
