ABSTRACT
Covid has taught a valuable lifelong lesson. During the pandemic, economies of countries collapsed and many nations had to undergo a complete lockdown. Individuals lost their sources of income and their savings dwindled trying to survive the lockdown. Many small-scale industries closed down for not being able to recover losses. Despite of the economic machine being slowed;the cog of stock market ran smoothly. The moral learnt was one must have multiple sources of income. During lockdown, the stock market collapsed hard. Now a year later, the market is stronger than before and has achieved new benchmarks. Stock market is erratic and most people relate it to gambling. There are other ways to invest money long term which are a safer bet, but for those who love playing with fire, stock market is a good investment. One might ask why to invest in stocks than going for safer options. No other investment provides potentially higher profits and losses than stock market does. Investing in stock market is purely on people’s own risk. There is no such belief that a particular stock would always provide profit. Some people utilize the advancements of technology and computing resources in order to do algorithmic trading. One might say it’s a fool’s errand as there are some unfathomable factors which affect any stock. But could one gain an edge using these techniques? The proposed system explores this idea further by developing a Machine Learning model which accepts historic prices of stocks as input to predict futuristic prices with good accuracy to construct a portfolio of multiple stocks. The proposed project will help investors to gain an idea of whether investing in a stock may payout or not. © 2021 IEEE.