Abstract
Because of the clear financial advantages, stock and cryptocurrency predictions have long drawn investors interested in stock exchanges and share markets. It is a significant area of study for finance as well. The ability to accurately predict stock market returns depends on a variety of variables, including corporate financial health and national policy. These days, a variety of factors, including corporate news, political events, social and economic situations, and natural calamities, have an impact on stock prices. There have been numerous research done to anticipate stock index values and daily direction of movement. For projecting the price of stocks in the future, numerous models have been devised, but each has flaws of its own. Financial firms have also used cutting-edge intelligent methods such as expert systems, neural networks, and pure mathematical models. Through a period of time, we compared the predicted values with the actual values in order to examine the prediction's accuracy.
Keyword
rpa, investing, automation, profit, robot, machine learning, stock, crypto
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