Interactive Moving Average (MA)

Moving Average (MA) is a technique to smooth out short-term fluctuations in time series data, highlighting longer-term trends or cycles. It calculates the average of a specific number of consecutive data points (the "window") as it moves across the dataset.

Interactive Features:

• Window Size Slider: Adjust to see how different window sizes affect smoothness and lag.
• Noise Level: Experiment with different levels of noise in the raw data.
• Visualize Window: See which data points are included in each moving average calculation.
• Click on Points: Click on any moving average point to see how it was calculated.
• Drag Window: Move the window manually to see how the average changes at different positions.

Try increasing the window size and observe how the line becomes smoother but less responsive to changes. The trade-off between noise reduction and lag is a key consideration when choosing a moving average window size.