Prediction in Stock Market Value using Artificial Intelligence

Currently, investments made via the purchase of stock shares account for the majority of international trades among countries and significant quantities of cash are traded on stock markets around the globe. However, one of the most important things is to figure out how to efficiently condense & visualize stock market data in a way that people or organizations may use it to make well-informed investing decisions. In order to identify patterns in chaotic and nonlinear systems, this paper proposes a smart stock market forecasting system that uses fuzzy inference and neural networks. This study aims to predict the price of stocks using the financial data of a company.By utilizing a probe to look at a sample of the entire population. The prediction was made by a nonlinear fuzzy-neural network framework with the stock market acting as an external variable.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/ictbig64922.2024.10911380
Citations
1
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
0.49
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Prediction in Stock Market Value using Artificial Intelligence

Akash Akash, Daya Bhardwaj, S. Bhatia, Lakshay Bhardwaj
1 citations
Stock Market Forecasting Methods
0.49
article

Prediction in Stock Market Value using Artificial Intelligence

Akash Akash, Daya Bhardwaj, S. Bhatia, Lakshay Bhardwaj
article en
1 citations

Abstract

Currently, investments made via the purchase of stock shares account for the majority of international trades among countries and significant quantities of cash are traded on stock markets around the globe. However, one of the most important things is to figure out how to efficiently condense & visualize stock market data in a way that people or organizations may use it to make well-informed investing decisions. In order to identify patterns in chaotic and nonlinear systems, this paper proposes a smart stock market forecasting system that uses fuzzy inference and neural networks. This study aims to predict the price of stocks using the financial data of a company.By utilizing a probe to look at a sample of the entire population. The prediction was made by a nonlinear fuzzy-neural network framework with the stock market acting as an external variable.

Manav Rachna International Institute of Research and Studies (IN)
Decent work and economic growth
Openalex Percentile: Top 26%
Stock Market Forecasting Methods
0.49
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