AI-Powered Solutions for Safer Stock Market Investments: Trend Forecasting Using LSTM and Sentiment Analysis

This paper presents a novel web application designed to mitigate the unpredictability of the stock market by providing accurate stock predictions and investment insights. Leveraging advanced machine learning models, including regression analysis and Long Short-Term Memory (LSTM) networks, our system processes historical stock data to forecast future trends. The application offers users customizable time periods for tailored predictions, interactive visualizations, and curated investment tips from reliable financial sources. Our goal is to empower investors of all experience levels to make informed decisions, navigating the complexities of the stock market with confidence. This research contributes to the development of a comprehensive platform that blends quantitative predictions with qualitative financial advice, optimizing the stock market investing experience.

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Publication Details

Published
2025-02-05
DOI
https://doi.org/10.1109/idciot64235.2025.10914949
Citations
2
Primary Topic
Stock Market Forecasting Methods
Type
article
Field-Weighted Citation Impact
4.21
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article

AI-Powered Solutions for Safer Stock Market Investments: Trend Forecasting Using LSTM and Sentiment Analysis

A. Rajendra Prasad, Annam Navya, Navneet Pratap Singh, Karthika Natarajan et al.
2 citations
Stock Market Forecasting Methods
4.21
article

AI-Powered Solutions for Safer Stock Market Investments: Trend Forecasting Using LSTM and Sentiment Analysis

A. Rajendra Prasad, Annam Navya, Navneet Pratap Singh, Karthika Natarajan, Balla Ameetha
article en
2 citations

Abstract

This paper presents a novel web application designed to mitigate the unpredictability of the stock market by providing accurate stock predictions and investment insights. Leveraging advanced machine learning models, including regression analysis and Long Short-Term Memory (LSTM) networks, our system processes historical stock data to forecast future trends. The application offers users customizable time periods for tailored predictions, interactive visualizations, and curated investment tips from reliable financial sources. Our goal is to empower investors of all experience levels to make informed decisions, navigating the complexities of the stock market with confidence. This research contributes to the development of a comprehensive platform that blends quantitative predictions with qualitative financial advice, optimizing the stock market investing experience.

Vellore Institute of Technology University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Stock Market Forecasting Methods
4.21
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AI-Powered Solutions for Safer Stock Market Investments: Trend Forecasting Using LSTM and Sentiment Analysis — A. Rajendra Prasad, Annam Navya, et al. · (2025) | TGRS Research Map | TGRS