Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis and stock-market-prediction
About Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
This web application helps individual investors and traders forecast stock prices and receive recommendations. You input a stock ticker from NASDAQ or NSE, and it outputs predictions for the next seven days, along with a recommendation on whether the price is likely to rise or fall, based on both price trends and social media sentiment. It's designed for anyone managing their own stock portfolio or making short-term trading decisions.
About stock-market-prediction
abdellatif-laghjaj/stock-market-prediction
Welcome to the Stock Market Prediction Web App repository! This project aims to provide a user-friendly web application for predicting stock market trends using machine learning models.
This web application helps individual investors and traders predict future stock market trends. You input a stock symbol and a date range, and it provides interactive charts showing historical data and future price predictions. It's designed for anyone looking for data-driven insights to inform their stock trading decisions.
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