DAX for comparing time series data

Here is my rolling Pearsons Correlation Coefficient solution:

CorrTable = 
	ADDCOLUMNS(
		SUMMARIZE(
			'Traces',
		    'Traces'[CorrID],
			'Traces'[DateStamp]
		),
		"OutlookLatency", CALCULATE(
			AVERAGE('Traces'[ResponseTime]),
			'Traces'[AppName] = "Microsoft Outlook"
		),
		"TokenLatency", CALCULATE(
			AVERAGE('Traces'[ResponseTime]),
			'Traces'[AppName] = "AAD Token Broker Plugin"
		),
		"CredentialLatency", CALCULATE(
			AVERAGE('Traces'[ResponseTime]),
			'Traces'[AppName] = "Credential Manager UI Host (Windows)"
		),
		"EntraLatency", CALCULATE(
			AVERAGE('Traces'[ResponseTime]),
			'Traces'[AppName] = "Microsoft Entra"
		)
	)

TokenCorr = 
	VAR cTable =
	FILTER(
		ADDCOLUMNS(
			VALUES('CorrTable'[CorrID]),
			"X", CALCULATE(AVERAGE('CorrTable'[OutlookLatency])),
			"Y", CALCULATE(AVERAGE('CorrTable'[TokenLatency]))
		),
		AND(
			NOT (ISBLANK([X])),
			NOT (ISBLANK([Y]))
		)
	)
	VAR Count_Items = COUNTROWS(cTable)
	VAR Sum_X = SUMX(cTable,[X])
	VAR Sum_X2 = SUMX(cTable,[X] ^ 2)
	VAR Sum_Y = SUMX(cTable,[Y])
	VAR Sum_Y2 =SUMX(cTable,[Y] ^ 2)
	VAR Sum_XY =SUMX(cTable,[X] * [Y])
	VAR Pearson_Numerator = Count_Items * Sum_XY - Sum_X * Sum_Y
	VAR Pearson_Denominator_X = Count_Items * Sum_X2 - Sum_X ^ 2
	VAR Pearson_Denominator_Y = Count_Items * Sum_Y2 - Sum_Y ^ 2
	VAR Pearson_Denominator = SQRT(Pearson_Denominator_X * Pearson_Denominator_Y)
	VAR TokenCorr =
	DIVIDE(
		Pearson_Numerator,
		Pearson_Denominator
	)
 RETURN TokenCorr