AI-Powered Stock Search Analysis and Recommendation System Using SBERT and Ranking Model
Author : Dr. Krishnaveni Sakkarapani and Aarthi M
Abstract :
Stock Market Analysis & Investment Recommendations is an advanced analytical tool aimed at supporting data-driven decision-making within the market. This application combines machine learning, natural language processing (NLP), and interactive data visualization to offer in-depth insights into stock market patterns, irregularities, and investment options. It features a variety of analytical tools, including Trend Analysis, which provides interactive visualizations of stock price trends, trading volumes, and moving averages to uncover both historical and real-time patterns. Profit/Loss Analysis offers a thorough review of profitability trends, enabling users to evaluate the performance of specific stocks or sectors over time Investment Recommendations leverage Sentence Transformers for NLP, aligning user inquiries with applicable stocks and offering tailored buy/sell/hold advice based on semantic relevance and historical data.
Keywords :
Trend analysis, stock price trends, trading volumes, moving averages.
