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This Streamlit app enables users to make stock predictions using the Prophet library. It provides an interactive interface for selecting a stock dataset, adjusting the prediction duration, and visualizing both raw and forecasted data.
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Select Dataset for Prediction: Use the dropdown menu to choose a stock dataset from a predefined list.
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Set Prediction Duration: Adjust the slider to specify the number of years for future predictions (between 1 and 10 years).
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Loading Data: The app displays loading messages while the selected stock data is being loaded. Once completed, it confirms the loading process.
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Raw Data Visualization: View the last rows of the loaded data and a plot of the raw data.
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Forecasting Dataset: Prepare the dataset for forecasting using the Prophet library.
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Create and Fit Prophet Model: Create a Prophet model and fit it with the training data.
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Predict Future Data: Generate future dates and predict corresponding stock prices.
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Display Forecast Results: View the last rows of the forecasted data and visualize forecast components.
pip install -r requirements.txtInstall the required dependencies using the provided requirements.txt file.
streamlit run your_app_name.pyMake sure to replace your_app_name.py with the actual name of your Streamlit app file.
- 🔀: Streamlit App
- 🏓: Raw Data
- 🏰: Forecast Data
- 🥤: Forecast Components
- 🔃: Loading Data
- 🧭: Loading Data Completed