Analyze kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis

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

alphavantage arima flask keras linear-regression lstm machine-learning python sentiment-analysis stock-market

Python

MIT License

Overview

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Adoption

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Stars

601

Open Issues

Forks

205

Top 1% by stars on GitHub

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Bus Factor

Serious Ratio

Bus factor is less than 10

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commits

contributors

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contributors

Governance

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Description
Website
Code of Conduct
Contributing.md
Issue Template
PR Template
License
README

More than half checks (5/8)