This Streamlit app uses a Random Forest model to predict stock prices based on historical data. The model predicts this by using the open price, high and low prices of the particular stock data as the predictor variables.
- Fetch and display historical stock data
- Train a Random Forest model for price prediction
- Visualize stock price trends and model performance
- Make predictions based on user input
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Clone this repository:
git clone https://github.com/agusrajuthaliyan/Stock-Price-Prediction-App.git -
Install the required packages:
pip install -r requirements.txt
Run the Streamlit app:
streamlit run app/main.py
Navigate to the provided local URL in your web browser to use the app.