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
Star & Fork Trend (17 data points)
Multi-Source Signals
Growth Velocity
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis has -1 stars this period . 7-day velocity: -0.1%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis | vectordb | medicaltorch | OpenAIWorkshop |
|---|---|---|---|---|
| Stars | 873 | 872 | 872 | 874 |
| Forks | 247 | 44 | 129 | 468 |
| Weekly Growth | -1 | +0 | +0 | +0 |
| Language | Python | C++ | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | MIT | GPL-3.0 | Apache-2.0 | MIT |
Capability Radar vs vectordb
Last code push 779 days ago.
Fork-to-star ratio: 28.3%. Active community forking and contributing.
Issue data not yet available.
No measurable growth in the current period (first-day cold start expected).
Licensed under MIT. Permissive — safe for commercial use.
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