LIVE STOCK PULSE: Monitoring Markets in Real Time

Rahi Prajapati

Title:
LIVE STOCK PULSE: Monitoring Markets in Real Time

Authors:
Rahi Prajapati

Cite This Article :

Rahi Prajapati "LIVE STOCK PULSE: Monitoring Markets in Real Time" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025, pp.854-859, URL: https://www.ijtsrd.com/papers/ijtsrd79678.pdf

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Abstract :
This paper describes the design and implementation of a Real-Time Stock Market Analysis System (RTSMA) that provides dynamic insights into stock market patterns. The system constantly retrieves live stock data, analyzes market sentiment, and forecasts price changes using Artificial Intelligence (AI), Machine Learning (ML), and Big Data. Traders and investors can now make informed judgments in real time. The system incorporates financial APIs for data collection, natural language processing (NLP) for sentiment analysis, and machine learning algorithms for predictive analytics. Improved prediction accuracy, more informed trading decisions, and better risk mitigation are among the projected consequences.

Keywords :
Real-Time Stock Analysis, AI, Machine Learning, Stock Prediction, Sentiment Analysis, Financial APIs

Publication Details:

Unique Identification Number : IJTSRD79678

Published In : Special Issue | Advancements and Emerging Trends in Computer Applications - Innovations, Challenges, and Future Prospects, March 2025

Page Number(s) : 854-859

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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