A Review on Stock Market Trends and Stocks Price Prediction Using Sentiment Analysis and Market Data

Fluctuations in the prices of the Stocks in the Stock Market is a very common factor and is well known to the traders and the investors,thus it is important for them that before making any transactions they thoroughly analyze the current trends and scenarios of the market. Investors generally utilize and rely upon reputed financial forums to analyze the current scenario and make their next trade accordingly but since the rise of the internet and the easy accessibility of the internet to common people various Social Media Platforms such as Twitter(Now X) and StockTwits have emerged as major platforms where users express their sentiments through posts and it is known for a fact that these sentiments when aggregated have the ability to fluctuate stock prices of a company. In this research, we develop an advanced machine learning system for predicting stock market trends by analyzing We utilize the Tweepy library along with data from Twitter (now X) and StockTwits to feed into news content from Yahoo Finance to classify the sentiments as positive, negative, or neutral. Our proposed methodology includes some novel features, such as the following: Emotional intensity analysis to study the psychology of the market through emotions such as fear and optimism,sector-specific sentiment analysis for specific economic sectors, portfolio sentiment scoring for aggregating sentiments across stock portfolios, and a Fear Greed Index to study extreme market sentiments. We have designed an interactive dashboard that allows users to visualize temporal changes in stock sentiments, select stocks of interest, and obtain quantitative sentiment evaluations. By integrating multi-source sentiment data with sector-specific and portfolio-wide analyses, we This research aims to contribute to the study of stock market prediction by showing advanced sentiment analysis potential in informing trading decisions and offering a novel approach to understanding market trends.