import pandas as pd

def Elder_Force_Index(data: pd.Series, volume: pd.Series, period: int = 13, adjust: bool = True) -> pd.Series:
    """
    Calculates Elder's Force Index indicator from the given price and volume data.

    Elder's Force Index (EFI) measures the strength of bulls or bears in the market by combining price movement and volume.

    Parameters:
    data (pd.DataFrame): DataFrame containing the price data.
    volume (pd.DataFrame): DataFrame containing the volume data.
    period (int): The number of periods to use in the calculation.
    adjust (bool): Whether to adjust the exponential moving averages.

    Returns:
    pd.Series: A Series containing Elder's Force Index (EFI) values.

    Example:
    # Assuming 'data' is a DataFrame with the price data and 'volume' is a DataFrame with the volume data
    efi = Elder_Force_Index(data, volume, period=13, adjust=True)
    """

    # Calculate Price Change
    price_change = data.diff()

    # Calculate Force Index
    force_index = price_change * volume

    # Smooth the Force Index with an exponential moving average
    efi = force_index.ewm(span=period, min_periods=period, adjust=adjust).mean()

    return efi
