T REX Correlations

NFLU Etf

37.28 0.80 2.19%

The current 90-days correlation between T REX 2X and ProShares UltraShort Financials is -0.04 (i.e., Good 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

Significant diversification

The correlation between T REX 2X Long and DJI is 0.09 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding T REX 2X Long and DJI in the same portfolio, assuming nothing else is changed.

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in T REX 2X Long. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in bureau of economic analysis.

Moving together with NFLU Etf

0.62

NRGU

Bank Of Montreal

Pair Corr

Moving against NFLU Etf

0.38	TECL	Direxion Daily Technology	Pair Corr
0.36	NVDL	GraniteShares 15x Long	Pair Corr
0.36	NVDX	T Rex 2X	Pair Corr
0.36	NVDU	Direxion Daily NVDA	Pair Corr
0.66	MCD	McDonalds Fiscal Year End 3rd of February 2025	Pair Corr
0.59	DD	Dupont De Nemours Fiscal Year End 4th of February 2025	Pair Corr
0.56	XOM	Exxon Mobil Corp Fiscal Year End 7th of February 2025	Pair Corr
0.46	GE	GE Aerospace Fiscal Year End 28th of January 2025	Pair Corr
0.36	HPQ	HP Inc	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.26	0.55	0.07	0.53	0.05	0.64	0.28	-0.53	0.73	META
MSFT	0.26		0.21	0.17	0.16	-0.01	0.03	-0.11	0.13	-0.2	MSFT
UBER	0.55	0.21		-0.06	-0.09	0.27	-0.03	-0.16	0.09	0.35	UBER
F	0.07	0.17	-0.06		0.28	-0.41	0.5	0.7	-0.37	0.32	F
T	0.53	0.16	-0.09	0.28		-0.5	0.81	0.64	-0.79	0.39	T
A	0.05	-0.01	0.27	-0.41	-0.5		-0.46	-0.6	0.63	0.0	A
CRM	0.64	0.03	-0.03	0.5	0.81	-0.46		0.86	-0.91	0.65	CRM
JPM	0.28	-0.11	-0.16	0.7	0.64	-0.6	0.86		-0.83	0.47	JPM
MRK	-0.53	0.13	0.09	-0.37	-0.79	0.63	-0.91	-0.83		-0.56	MRK
XOM	0.73	-0.2	0.35	0.32	0.39	0.0	0.65	0.47	-0.56		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

JPM	+ 0.86	CRM
CRM	+ 0.81	T
XOM	+ 0.73	META
JPM	+ 0.7	F
XOM	+ 0.65	CRM
CRM	+ 0.64	META

High negative correlations

MRK	- 0.91	CRM
MRK	- 0.83	JPM
MRK	- 0.79	T
JPM	- 0.6	A
XOM	- 0.56	MRK
MRK	- 0.53	META

T REX Competition Risk-Adjusted Indicators

There is a big difference between NFLU 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	1.07	0.07	0.02	0.23	1.41	(1.14)	2.62	(3.15)	8.02
MSFT	0.90	(0.04)	(0.05)	0.07	1.50	(0.86)	2.09	(1.85)	8.19
UBER	1.61	(0.11)	(0.04)	0.02	2.32	(1.70)	2.69	(2.53)	20.10
F	1.42	(0.15)	(0.04)	0.03	2.23	(1.39)	2.53	(2.90)	11.21
T	0.92	0.26	0.12	(7.83)	0.86	(1.06)	2.56	(1.72)	6.47
A	1.17	(0.09)	0.00	(0.06)	0.00	0.00	2.71	(2.42)	9.02
CRM	1.31	0.23	0.18	0.34	1.08	(1.53)	3.18	(1.91)	9.98
JPM	1.12	(0.04)	0.05	0.11	1.38	(1.23)	2.05	(2.00)	15.87
MRK	0.91	(0.24)	0.00	(0.86)	0.00	0.00	2.00	(2.13)	4.89
XOM	1.00	(0.03)	(0.07)	0.06	1.31	(1.04)	2.10	(2.09)	5.74

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