AN OVERVIEW ON: AI STOCK FORECASTER: A STOCK PRICE FORECASTING APP

Abstract: In the past decades, there is an increasing interest in predicting markets among economists, policymakers, academics and market makers. The objective of the proposed work is to study and improve the supervised learning algorithms to predict the stock price. The stock market plays a crucial role in a country's financial growth, but it is also highly dynamic and unpredictable. Stock Market Analysis of stocks using data mining will be useful for new investors to invest in stock market based on the various factors considered by the software. Stock market includes daily activities like Sensex calculation, exchange of shares. The exchange provides an efficient and transparent market for trading in equity, debt instruments and derivatives.

Keywords: Stock Market, ARIMA, LSTM, Linear Regression, Web Interface, Machine Learning, Linear Regression, Python, Django framework, Yahoo Finance.