The Moving Average Calculator is an interactive tool designed to help users smooth out time series data by calculating the moving average. Moving averages are widely used in finance, economics, and data analysis to identify trends, reduce noise, and make predictions. This tool supports both Simple Moving Average (SMA) and Exponential Moving Average (EMA) calculations.

Key Features:

1. Dynamic Input : Users can input their time series data as a comma-separated list and specify the window size for the moving average.
2. Dual Calculation : The tool calculates both Simple Moving Average (SMA) and Exponential Moving Average (EMA) simultaneously.
3. Interactive Visualization : A line chart displays the original data alongside the calculated SMA and EMA for easy comparison.
4. PDF Download : Export the generated moving average results and visualization as a PDF for sharing or reporting purposes.
5. Modern Design : Clean and stylish layout with vibrant colors and clear typography for better readability.
6. Self-Contained : The tool operates within its own container, ensuring it doesn’t interfere with the page header or footer.

Use Cases:

• Financial Analysis : Traders and analysts can use this tool to smooth stock prices or other financial metrics.
• Data Smoothing : Researchers can reduce noise in time series data to identify underlying trends.
• Reporting : Professionals can export moving average charts to include in reports or presentations.

How It Works:

1. Introduction : A moving average smooths time series data by averaging subsets of data points. The Simple Moving Average (SMA) calculates the arithmetic mean of a fixed window of data points, while the Exponential Moving Average (EMA) gives more weight to recent data points.
2. Input Fields : Users enter their time series data as a comma-separated list and specify the window size for the moving average.
3. Visualization : The tool generates a line chart displaying the original data, SMA, and EMA for easy comparison.
4. Export : Users can download the moving average results and visualization as a PDF for further use.