TrueShares Structured Correlations

DECZ Etf

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The current 90-days correlation between TrueShares Structured and Innovator ETFs Trust is 0.89 (i.e., Very poor diversification). The correlation of TrueShares Structured 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.

TrueShares Structured Correlation With Market

Very poor diversification

The correlation between TrueShares Structured Outcome and DJI is 0.89 (i.e., Very poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding TrueShares Structured Outcome and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with TrueShares Etf

Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in TrueShares Structured Outcome. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in private.

Moving together with TrueShares Etf

0.8	INOV	Innovator ETFs Trust	Pair Corr
0.93	BUFR	First Trust Cboe	Pair Corr
0.92	BUFD	FT Cboe Vest	Pair Corr
0.94	PSEP	Innovator SP 500	Pair Corr
0.88	PJAN	Innovator SP 500	Pair Corr
0.93	PJUL	Innovator SP 500	Pair Corr
0.94	PAUG	Innovator Equity Power	Pair Corr
0.83	DNOV	FT Cboe Vest	Pair Corr
0.86	PMAY	Innovator SP 500	Pair Corr
0.86	ACII	Innovator ETFs Trust	Pair Corr
0.67	MUU	Direxion Daily MU Downward Rally	Pair Corr
0.67	MULL	GraniteShares 2x Long Downward Rally	Pair Corr
0.66	AGQ	ProShares Ultra Silver Buyout Trend	Pair Corr
0.72	JNUG	Direxion Daily Junior	Pair Corr
0.69	GDXU	MicroSectors Gold Miners Trending	Pair Corr
0.63	KORU	Direxion Daily South	Pair Corr
0.71	NUGT	Direxion Daily Gold	Pair Corr
0.65	SHNY	Microsectors Gold Trending	Pair Corr
0.74	SIL	Global X Silver	Pair Corr
0.72	SIVR	abrdn Physical Silver	Pair Corr
0.76	AA	Alcoa Corp	Pair Corr
0.74	BA	Boeing	Pair Corr
0.62	INTC	Intel	Pair Corr
0.62	WMT	Walmart Common Stock Aggressive Push	Pair Corr

Moving against TrueShares Etf

0.44	HPQ	HP Inc	Pair Corr
0.32	MSFT	Microsoft	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		-0.45	-0.5	0.47	0.14	-0.57	-0.04	0.32	0.49	0.47	META
MSFT	-0.45		0.73	-0.53	-0.42	0.59	0.71	0.01	-0.8	-0.87	MSFT
UBER	-0.5	0.73		-0.48	-0.15	0.66	0.32	-0.16	-0.8	-0.63	UBER
F	0.47	-0.53	-0.48		-0.17	-0.35	-0.13	0.38	0.7	0.63	F
T	0.14	-0.42	-0.15	-0.17		-0.05	-0.6	-0.11	0.14	0.28	T
A	-0.57	0.59	0.66	-0.35	-0.05		0.26	-0.08	-0.49	-0.68	A
CRM	-0.04	0.71	0.32	-0.13	-0.6	0.26		0.5	-0.38	-0.7	CRM
JPM	0.32	0.01	-0.16	0.38	-0.11	-0.08	0.5		0.25	-0.07	JPM
MRK	0.49	-0.8	-0.8	0.7	0.14	-0.49	-0.38	0.25		0.76	MRK
XOM	0.47	-0.87	-0.63	0.63	0.28	-0.68	-0.7	-0.07	0.76		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

XOM	+ 0.76	MRK
UBER	+ 0.73	MSFT
CRM	+ 0.71	MSFT
MRK	+ 0.7	F
A	+ 0.66	UBER
XOM	+ 0.63	F

High negative correlations

XOM	- 0.87	MSFT
MRK	- 0.8	UBER
MRK	- 0.8	MSFT
XOM	- 0.7	CRM
XOM	- 0.68	A
XOM	- 0.63	UBER

TrueShares Structured Constituents Risk-Adjusted Indicators

There is a big difference between TrueShares Etf performing well and TrueShares Structured 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 TrueShares Structured'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	1.51	0.02	(0.01)	0.11	1.55	(1.74)	3.43	(2.67)	13.69
MSFT	1.32	(0.41)	0.00	(0.89)	0.00	0.00	1.85	(2.74)	13.28
UBER	1.55	(0.47)	0.00	(0.70)	0.00	0.00	2.41	(5.06)	11.09
F	1.22	0.03	0.02	0.11	1.20	(1.45)	3.38	(2.35)	7.16
T	0.94	0.16	0.09	1.52	0.83	(1.06)	2.02	(1.54)	4.32
A	1.21	(0.26)	0.00	(0.14)	0.00	0.00	2.90	(2.58)	7.85
CRM	1.71	(0.54)	0.00	(0.39)	0.00	0.00	2.94	(5.31)	12.37
JPM	1.20	(0.04)	0.00	0.05	1.67	(1.24)	2.34	(3.11)	7.38
MRK	1.26	0.56	0.43	0.97	0.69	(1.62)	3.59	(1.93)	8.09
XOM	1.17	0.41	0.26	3.45	0.94	(1.39)	2.69	(2.11)	5.85

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