Usage
1. Clone the Repository
Start by cloning the repository to your local machine:

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git clone https://github.com/your-username/your-repository-name.git
2. Install Dependencies
Navigate to the project folder and install the necessary dependencies using the requirements.txt:

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cd your-repository-name
pip install -r requirements.txt
3. Setup API Key
You will need an Alpha Vantage API key to fetch stock data. Sign up for a free API key here.

Once you have the key, replace the placeholder in the TESTING.py script:

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ALPHA_VANTAGE_API_KEY = 'YOUR_API_KEY'
4. Run the Stock Prediction
Run the script with your desired stock ticker symbol. The stock ticker should be in the format of TICKER.SYMBOL (e.g., AAPL for Apple, MSFT for Microsoft):

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python TESTING.py
You will be prompted to enter the stock ticker symbol in the terminal:

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Enter the stock ticker symbol (e.g., TATAMOTORS.NS or TSLA): MSFT
5. View Results
The model will:

Output performance evaluation metrics (MAE, MSE, RMSE, R² Score).

Display a plot comparing actual vs predicted stock prices.

Predict the next hour’s stock price based on the last available data.

Example Output:
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📏 MAE: 3.5777, MSE: 18.7211, RMSE: 4.3268, R² Score: 0.9984
📈 Predicted next hour price: ₹425.67
The prediction results will be displayed graphically and saved as prediction_plot.pdf.