T Rex Correlations

NVDQ Etf

16.80 0.18 1.08%

The current 90-days correlation between T Rex 2X and GraniteShares 2x Long is 0.29 (i.e., Modest diversification). The correlation of T Rex is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.

T Rex Correlation With Market

Very good diversification

The correlation between T Rex 2X Inverse and DJI is -0.27 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding T Rex 2X Inverse and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with NVDQ Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in T Rex 2X Inverse. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in small area income & poverty estimates.

Moving together with NVDQ Etf

0.67	PSQ	ProShares Short QQQ	Pair Corr
0.65	QID	ProShares UltraShort QQQ Aggressive Push	Pair Corr

Moving against NVDQ Etf

0.72	VUG	Vanguard Growth Index	Pair Corr
0.5	SPY	SPDR SP 500	Pair Corr
0.5	IVV	iShares Core SP	Pair Corr
0.45	VTI	Vanguard Total Stock	Pair Corr
0.45	TOT	Advisor Managed Port	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.67	0.47	-0.55	0.42	-0.44	0.23	-0.21	-0.45	-0.59	META
MSFT	0.67		0.85	-0.54	0.41	-0.13	-0.01	-0.38	-0.8	-0.63	MSFT
UBER	0.47	0.85		-0.58	0.54	-0.02	-0.25	-0.43	-0.86	-0.66	UBER
F	-0.55	-0.54	-0.58		-0.65	0.33	0.33	0.52	0.64	0.78	F
T	0.42	0.41	0.54	-0.65		-0.14	-0.59	-0.4	-0.42	-0.56	T
A	-0.44	-0.13	-0.02	0.33	-0.14		-0.36	-0.32	0.14	0.12	A
CRM	0.23	-0.01	-0.25	0.33	-0.59	-0.36		0.49	0.2	0.3	CRM
JPM	-0.21	-0.38	-0.43	0.52	-0.4	-0.32	0.49		0.52	0.52	JPM
MRK	-0.45	-0.8	-0.86	0.64	-0.42	0.14	0.2	0.52		0.74	MRK
XOM	-0.59	-0.63	-0.66	0.78	-0.56	0.12	0.3	0.52	0.74		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.

High positive correlations

UBER	+ 0.85	MSFT
XOM	+ 0.78	F
XOM	+ 0.74	MRK
MSFT	+ 0.67	META
MRK	+ 0.64	F
T	+ 0.54	UBER

High negative correlations

MRK	- 0.86	UBER
MRK	- 0.8	MSFT
XOM	- 0.66	UBER
T	- 0.65	F
XOM	- 0.63	MSFT
CRM	- 0.59	T

T Rex Competition Risk-Adjusted Indicators

There is a big difference between NVDQ Etf performing well and T Rex ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze T Rex's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.

	Mean Deviation	Jensen Alpha	Sortino Ratio	Treynor Ratio	Semi Deviation	Expected Shortfall	Potential Upside	Value @Risk	Maximum Drawdown
META	1.39	(0.21)	0.00	(0.18)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.89	(0.12)	0.00	(0.16)	0.00	0.00	1.78	(2.50)	5.08
UBER	1.46	(0.34)	0.00	(0.28)	0.00	0.00	2.60	(3.82)	10.51
F	1.47	0.09	0.06	0.11	1.67	(1.63)	3.38	(2.63)	16.30
T	0.95	(0.18)	0.00	(0.68)	0.00	0.00	1.61	(2.18)	5.75
A	1.21	0.10	0.07	0.14	1.22	(1.36)	2.34	(2.21)	11.03
CRM	1.50	0.08	0.04	0.13	1.88	(1.51)	3.66	(2.92)	9.91
JPM	1.06	(0.02)	(0.01)	0.03	1.44	(1.11)	2.00	(1.91)	7.02
MRK	1.42	0.43	0.32	0.55	0.97	(1.87)	4.85	(1.98)	11.45
XOM	0.90	0.08	0.04	0.39	0.87	(0.99)	1.96	(1.41)	4.99

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