Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The stock market is highly influenced by news events
and public sentiment, making investment decisions complex and
time sensitive. Traditional stock analysis methods often fail to
capture the immediate impact of breaking news and market
sentiment, leading to missed opportunities or misinformed investments. This study explores the power of AI-driven sentiment
analysis in predicting whether a stock should be bought, held, or
sold based on financial news and public reactions. Using advances
in artificial intelligence, our approach aims to provide investors
with timely and data-driven insights, reducing the reliance on
subjective decision making. This research sets the foundation for
a more intuitive and sentiment-aware investment strategy that
aligns with market dynamics and investor confidence.
Keywords:
Fintech, Artificial Intelligence, Stocks
Cite Article:
"AI-Powered Stock Investment Prediction: Buy, Hold, or Sell Based on LLM to Investment Analysis", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.c506-c511, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504284.pdf
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000351
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator