Stock Market Prediction App

This Streamlit app uses a Random Forest model to predict stock prices based on historical data.

Features

• 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

Installation

1. Clone this repository:

   git clone https://github.com/agusrajuthaliyan/Stock-Prediction-App.git
   cd stock-market-prediction
   

2. Install the required packages:

   pip install -r requirements.txt
   

Usage

Run the Streamlit app:

streamlit run app/main.py

Navigate to the provided local URL in your web browser to use the app.