API for scrapping news on stock market for sentiment analysis and stock prediction

Extract sentiment of every US public company from financial news headlines

stock sentiment analysis using headlines

Web app for Analysis of Stock Performance and Sentiments

Stock Sentiment Analysis using News Headlines.

Visualisation of top 50 discussed stocks on popular subreddit WSB

A Stock Sentiment Analysis Model using Natural Language Processing (NLP)

Python Projects of Data Science using Data Analytics and Machine Learning

This Streamlit-based web application enables users to visualize and analyze sentiment annotations of Wall Street Journal articles.

A Python project that combines stock market data with natural language processing to uncover how sentiment from stock data correlate with stock price movements. It features data collection & cleaning, exploratory data analysis, visualizations, model experiments, and reporting to help understand and predict market behavior.

Stock often fluctuates based on the news headline. So, here sentiment of stock has been analyzed to predict a fall or rise in near future only based on news paper headlines.

Stock tracking web app built with Angular as part of my Intermediate Angular Level 2 Certification.

Interactive tool analyzing social media sentiment vs. stock prices.

Stock sentiment analysis to estimate portfolio returns based on predicted buy/sell signals on News data using Support Vector Machine (SVM)