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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      1 Jan 2023, Volume 38 Issue 1   
    Article

    1. EMBOT: STOCK PREDICTION, CRYPTO PREDICTION AND ROBOT TRADING SYSTEM USING ML AND RPA
    S.A. Quadri, Sumayya Fatima
    Journal of Data Acquisition and Processing, 2023, 38 (1): 182-189. 

    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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