Analysis For Stock Market Investment Decision Using ML Models

Abstract

For the purpose of increasing their profits, investors are taking advantage of the buy and sell advice offered by brokers and experts. When brokers or software try to forecast the share price, mistakes are typically made in the projection. The worth of stocks on the market may be determined by a variety of approaches, which are together referred to as valuation techniques. Therefore, if you want to make an investment, it is quite important to locate the valuation methods that provide the most accurate predictions of share prices. Although there are a lot of difficult financial indications and the fluctuations of the stock market are quite violent, the chance to generate a consistent fortune from the stock market is increasing as technology advances, and it also helps financial professionals make more accurate predictions. The stock market is notorious for its volatility, dynamism, and non-linearity. Accurate stock price forecasting is extremely difficult due to a variety of factors including politics, the current state of the global economy, unexpected events, and the financial performance of a company, amongst others. However, this does imply that there is a significant quantity of data to sift through in order to uncover patterns. The newest, most cutting-edge, most technologically advanced exchange in the world is the National Stock Exchange. This paper provides a concise summary of several recent studies carried out in the subject of stock market prediction. It will assist us in determining how to go about developing a model that would enable investors to make greater returns on their investments. This article will also play an essential part in determining the optimal model to adopt in future research, which will play a role that will have a significant impact.