USING AI TO DEVELOP MORE EFFICIENT AND EFFECTIVE STOCK MARKET TRADING STRATEGIES

Abstract

This study investigates how to select stocks from large stock markets with the help of excellent decision-making tools in order to restore decent market value. It helps investors make an easy decision about their interest in the stock market by providing a tempting selection of trading activities. In the financial turmoil, many artificial intelligence (AI) techniques remain unproven. Artificial intelligence (AI) approaches are used in this study to attempt to solve the stock market prediction problem. In light of the so-called central and specialized primary examinations, the stock market prognosis may be displayed. The redid assessment method predicts the stock expense design toward the finish of a workday in light of affirmed cost data utilizing backslide machine learning (ML) calculations. However, the primary study classifies public sentiment based on data and virtual entertainment by assembling machine learning algorithms. Hurray Money's real value data is used in the expert analysis, and publicly accessible Twitter posts related to the stock market are analyzed in the critical analysis to evaluate the influence of different points of view on the stock market estimate. Notwithstanding AI's continuous turn of events, the outcomes highlight a fair display, showing that it is too early to say it can beat the monetary markets.