def analyze(self, historical_data, period_count=15):
        """Performs an EMA analysis on the historical data

		Args:
			historical_data (list): A matrix of historical OHCLV data.
			period_count (int, optional): Defaults to 15. The number of data points to consider for
				our exponential moving average.

		Returns:
			pandas.DataFrame: A dataframe containing the indicators and hot/cold values.
		"""

        dataframe = self.convert_to_dataframe(historical_data)
        ema_values = abstract.EMA(dataframe, period_count).to_frame()
        ema_values.dropna(how='all', inplace=True)
        ema_values.rename(columns={0: 'ema'}, inplace=True)

        return ema_values
Performs an EMA analysis on the historical data

		Args:
			historical_data (list): A matrix of historical OHCLV data.
			period_count (int, optional): Defaults to 15. The number of data points to consider for
				our exponential moving average.

		Returns:
			pandas.DataFrame: A dataframe containing the indicators and hot/cold values.
		
app/analyzers/informants/ema.py