Tradr 2X Correlations

NWMX Etf

40.18 0.09 0.22%

The current 90-days correlation between Tradr 2X Long and AXS 15X PYPL is 0.05 (i.e., Significant diversification). The correlation of Tradr 2X 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.

Tradr 2X Correlation With Market

Weak diversification

The correlation between Tradr 2X Long and DJI is 0.32 (i.e., Weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Tradr 2X Long and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Tradr Etf

Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Tradr 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 board of governors.

Moving together with Tradr Etf

0.61	VO	Vanguard Mid Cap	Pair Corr
0.62	VB	Vanguard Small Cap	Pair Corr
0.61	ITWO	Proshares Russell 2000	Pair Corr
0.69	BA	Boeing Sell-off Trend	Pair Corr

Moving against Tradr Etf

0.33	MPAY	Exchange Traded Concepts	Pair Corr
0.38	MMM	3M Company Earnings Call This Week	Pair Corr
0.33	MSFT	Microsoft	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.6	0.32	-0.39	0.24	-0.24	0.43	-0.19	-0.35	-0.43	META
MSFT	0.6		0.8	-0.55	0.48	0.06	0.13	-0.45	-0.84	-0.7	MSFT
UBER	0.32	0.8		-0.49	0.44	0.32	-0.14	-0.5	-0.81	-0.54	UBER
F	-0.39	-0.55	-0.49		-0.71	0.09	0.24	0.66	0.71	0.73	F
T	0.24	0.48	0.44	-0.71		0.32	-0.45	-0.6	-0.51	-0.64	T
A	-0.24	0.06	0.32	0.09	0.32		-0.5	-0.26	-0.06	-0.09	A
CRM	0.43	0.13	-0.14	0.24	-0.45	-0.5		0.52	0.11	0.02	CRM
JPM	-0.19	-0.45	-0.5	0.66	-0.6	-0.26	0.52		0.64	0.52	JPM
MRK	-0.35	-0.84	-0.81	0.71	-0.51	-0.06	0.11	0.64		0.79	MRK
XOM	-0.43	-0.7	-0.54	0.73	-0.64	-0.09	0.02	0.52	0.79		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	+ 0.8	MSFT
XOM	+ 0.79	MRK
XOM	+ 0.73	F
MRK	+ 0.71	F
JPM	+ 0.66	F
MRK	+ 0.64	JPM

High negative correlations

MRK	- 0.84	MSFT
MRK	- 0.81	UBER
T	- 0.71	F
XOM	- 0.7	MSFT
XOM	- 0.64	T
JPM	- 0.6	T

Tradr 2X Competition Risk-Adjusted Indicators

There is a big difference between Tradr Etf performing well and Tradr 2X 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 Tradr 2X'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	1.32	(0.28)	0.00	(0.20)	0.00	0.00	2.30	(2.67)	13.46
MSFT	0.94	(0.21)	0.00	(0.38)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.46	(0.23)	0.00	(0.17)	0.00	0.00	2.60	(3.82)	10.23
F	1.42	0.13	0.12	0.18	1.27	(1.72)	3.38	(2.35)	16.30
T	0.89	(0.18)	0.00	(0.42)	0.00	0.00	1.53	(1.85)	4.30
A	1.14	(0.09)	(0.05)	0.02	1.39	(1.20)	2.34	(2.22)	6.50
CRM	1.57	(0.16)	0.00	(0.06)	0.00	0.00	3.66	(2.92)	12.37
JPM	1.12	(0.07)	(0.02)	0.04	1.59	(1.13)	2.00	(2.34)	7.38
MRK	1.23	0.32	0.23	0.44	1.01	(1.55)	3.59	(1.98)	8.09
XOM	1.07	0.23	0.12	2.92	0.98	(1.24)	2.37	(1.51)	5.82

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