USCF Gold Correlations

USG Etf

USD 36.10 0.44 1.23%

The current 90-days correlation between USCF Gold Strategy and Fidelity Enduring Opportunities is 0.04 (i.e., Significant diversification). The correlation of USCF Gold 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.

USCF Gold Correlation With Market

Modest diversification

The correlation between USCF Gold Strategy and DJI is 0.29 (i.e., Modest diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding USCF Gold Strategy and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with USCF Etf

Check out World Market Map to better understand how to build diversified portfolios, which includes a position in USCF Gold Strategy. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real.

Moving together with USCF Etf

0.91	GLD	SPDR Gold Shares	Pair Corr
0.91	IAU	iShares Gold Trust	Pair Corr
0.92	SLV	iShares Silver Trust Aggressive Push	Pair Corr
0.91	GLDM	SPDR Gold Mini	Pair Corr
0.91	SGOL	abrdn Physical Gold	Pair Corr
0.93	GLTR	abrdn Physical Precious	Pair Corr
0.92	SIVR	abrdn Physical Silver	Pair Corr
0.91	IAUM	iShares Gold Trust	Pair Corr
0.88	FB	ProShares Trust ProShares	Pair Corr
0.8	DUKH	Ocean Park High	Pair Corr
0.65	INFO	Harbor ETF Trust	Pair Corr
0.74	SPYI	SHP ETF Trust	Pair Corr
0.85	IWD	iShares Russell 1000	Pair Corr
0.85	TIIV	AAM Todd International	Pair Corr
0.88	DFUV	Dimensional Marketwide	Pair Corr
0.95	LEMB	iShares JP Morgan	Pair Corr
0.75	MDYV	SPDR SP 400	Pair Corr
0.78	HFSI	Hartford Strategic Income Symbol Change	Pair Corr
0.94	NSCI	NuShares ETF Trust	Pair Corr
0.94	ARCM	Arrow Reserve Capital	Pair Corr
0.82	MMIT	IQ MacKay Municipal	Pair Corr
0.67	SUSA	iShares MSCI USA	Pair Corr
0.93	JIVE	JPMorgan International	Pair Corr
0.73	FCOM	Fidelity MSCI Commun	Pair Corr
0.75	CPHY	Fm Compoundr High	Pair Corr
0.7	BDYN	iShares Dynamic Equity	Pair Corr
0.84	HSCZ	iShares Currency Hedged	Pair Corr
0.9	CTWO	COtwo Advisors Physical	Pair Corr

Moving against USCF Etf

0.87	NFLX	Netflix	Pair Corr
0.54	USO	United States Oil	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.55	0.42	-0.51	0.32	-0.34	0.29	-0.23	-0.39	-0.52	META
MSFT	0.55		0.84	-0.57	0.4	-0.08	-0.06	-0.5	-0.84	-0.64	MSFT
UBER	0.42	0.84		-0.57	0.5	0.17	-0.24	-0.51	-0.85	-0.66	UBER
F	-0.51	-0.57	-0.57		-0.65	0.23	0.33	0.59	0.64	0.75	F
T	0.32	0.4	0.5	-0.65		0.25	-0.65	-0.59	-0.39	-0.56	T
A	-0.34	-0.08	0.17	0.23	0.25		-0.5	-0.28	-0.03	-0.02	A
CRM	0.29	-0.06	-0.24	0.33	-0.65	-0.5		0.52	0.22	0.3	CRM
JPM	-0.23	-0.5	-0.51	0.59	-0.59	-0.28	0.52		0.64	0.65	JPM
MRK	-0.39	-0.84	-0.85	0.64	-0.39	-0.03	0.22	0.64		0.77	MRK
XOM	-0.52	-0.64	-0.66	0.75	-0.56	-0.02	0.3	0.65	0.77		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	+ 0.84	MSFT
XOM	+ 0.77	MRK
XOM	+ 0.75	F
XOM	+ 0.65	JPM
MRK	+ 0.64	F
MRK	+ 0.64	JPM

High negative correlations

MRK	- 0.85	UBER
MRK	- 0.84	MSFT
XOM	- 0.66	UBER
CRM	- 0.65	T
T	- 0.65	F
XOM	- 0.64	MSFT

USCF Gold Competition Risk-Adjusted Indicators

There is a big difference between USCF Etf performing well and USCF Gold 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 USCF Gold'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	1.36	(0.21)	0.00	(0.14)	0.00	0.00	2.30	(2.72)	13.52
MSFT	0.91	(0.13)	0.00	1.12	0.00	0.00	1.78	(2.50)	5.08
UBER	1.55	(0.26)	0.00	(0.16)	0.00	0.00	3.34	(3.82)	10.51
F	1.48	0.09	0.07	0.15	1.69	(1.61)	3.38	(2.63)	16.30
T	0.92	(0.16)	0.00	(0.68)	0.00	0.00	1.61	(1.92)	5.75
A	1.15	(0.01)	0.01	0.08	1.30	(1.26)	2.34	(2.22)	6.50
CRM	1.54	0.08	0.03	0.17	1.96	(1.53)	3.66	(2.92)	9.91
JPM	1.08	0.03	0.04	0.11	1.37	(1.14)	2.34	(1.91)	7.02
MRK	1.21	0.24	0.17	0.38	1.10	(1.50)	3.59	(1.98)	8.09
XOM	0.97	0.12	0.04	0.62	1.00	(1.05)	2.10	(1.51)	4.99

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