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ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
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Issue: May 2023

Volume 8 | Issue 5

Impact factor: 8.15

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Paper Title: Real Time Stock Market Prediction Using ML and DL
Authors Name: Raghav Dholu , Prerna Mistri , Prerna Lohar , Sayali Bachhav
Unique Id: IJSDR2305084
Published In: Volume 8 Issue 5, May-2023
Abstract: Financial events such as Stock Exchanges are of great importance. Globally, it is the most discussed topic. Stock market prices play a very important role in determining the world's economy. Investors from all backgrounds have successfully utilized the stock market to gain profits. It would be very challenging for one to decide which shares to buy as they are depended on supply and demand, interest rates, natural calamities, inflation, political and economic factors. The decision to invest in a particular stock is often made based on tools or methods that will help them determine whether it is a good investment. Here, prediction comes into picture. With the introduction of Machine Learning and its strong algorithms, we can analyze stock market data and give predictions. Prediction will help people to minimize their losses and will assure consistency. It will allow people to make money in a smart way. In this paper we will study and compare various methods used for stock market predictions. Our main goal is to analyze these algorithms and to check which one of them gives us the most accurate results.
Cite Article: "Real Time Stock Market Prediction Using ML and DL", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.596 - 599, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305084.pdf
Downloads: 000222060
Publication Details: Published Paper ID: IJSDR2305084
Registration ID:203980
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 596 - 599
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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