check the project Live at - https://predictandtrade-kfp2aofpwf44ekgxwtt3ot.streamlit.app/
PredictandTrade is a web application that allows users to visualize Stock Performance Comparison, Real-Time Stock Prices, and Stock Price Prediction. This application is developed using Streamlit, an open-source app framework in Python. Streamlit helps users to create web apps for Data Science and Machine Learning in a short time.
- Stocks Performance Comparison: Compare the performance of multiple stocks over a specified date range.
- Real-Time Stock Price: View real-time stock prices and plot them using different types of charts.
- Stock Prediction: Predict future stock prices using the Prophet library and visualize the forecast.
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Clone the repository:
git clone https://github.com/your-username/predictandtrade.git cd predictandtrade -
Create a virtual environment and activate it:
python -m venv venv source venv/bin/activate # On Windows use `venv\Scripts\activate`
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Install the required packages:
pip install -r requirements.txt
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Run the Streamlit app:
streamlit run app.py
- Select the desired utility from the sidebar: Stocks Performance Comparison, Real-Time Stock Price, or Stock Prediction.
- Pick the assets you want to analyze or predict from the dropdown menu.
- Choose the start and end dates for the analysis.
- View and interact with the charts and data displayed.
Contributions are welcome! Please open an issue or submit a pull request for any improvements or bug fixes.
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