STOCK MARKET PREDECTION

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Vijiyalakshmi J; Milan L; Vipin B; Vineeth S

STOCK MARKET PREDECTION

Authors: Vijiyalakshmi J, Milan L, Vipin B, Vineeth S

Unique Paper ID: 170188
Volume: 11
Issue: 6
PageNo: 3866-3870

Keywords: No Keywords Found

Abstract:
Stock market prediction is a challenging yet crucial goal influenced by economic indicators, market sentiment, and external events. Recent advances in machine learning (ML) and artificial intelligence (AI) have improved the analysis of financial data, uncovering patterns for trend forecasting. Techniques like supervised learning, sentiment analysis using NLP, and deep learning models such as LSTMs excel in capturing temporal and contextual dynamics. However, challenges like market volatility, data quality, and unforeseen events persist. Integrating alternative data sources (e.g., social media trends) and ensuring ethical AI use are key areas of focus. While predictive models offer valuable insights, their success depends on continuous innovation and robust validation.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 6
PageNo: 3866-3870

STOCK MARKET PREDECTION

Available:https://ijirt.org/article?manuscript=170188

18 Oct, 2024

OCR using YOLOV3 and tesseract for text extraction

Impact Factor
8.01 (Year 2024)

UGC Approved
Journal no 47859

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