Machine Learning-Based Smart Stocks Investor

Abstract

Today, investing in the stock market is one of the finest methods to grow your money. However, a lot of individuals are unaware of how to invest in stocks. To assist them, we have compiled a list of the top stocks that offer respectable returns for the invested capital within a predetermined time frame. Our program compiles a list of stocks in a sorted order that provides investors with solid returns. For stock prediction, we also take into account the financial market's risk variables. We regularly filter our data collection to make sure that the stocks that are losing value daily were excluded. Consequently, our model aids everyone's financial development. Based on sentiment analysis of news headlines and machine learning, this web app predicts the stock market. streamlit forms the foundation of the Web App's front end. The app predicts stock prices for any particular stock listed on the NASDAQ or NSE over the following seven days based on input from the user. The algorithm used to make predictions is ARIMA. The Web App uses sentiment analysis of news headlines in conjunction with the expected pricing for the subsequent week to predict whether prices will climb or decline.