Jfrog Correlations

FROG Etf

USD 58.01 1.65 2.93%

The current 90-days correlation between Jfrog and StubHub Holdings is 0.17 (i.e., Average diversification). The correlation of Jfrog 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.

Jfrog Correlation With Market

Average diversification

The correlation between Jfrog and DJI is 0.12 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Jfrog and DJI in the same portfolio, assuming nothing else is changed.

Build AI portfolio with Jfrog Etf

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

For more detail on how to invest in Jfrog Etf please use our How to Invest in Jfrog guide.

Moving together with Jfrog Etf

0.87

TDC

Teradata Corp

Pair Corr

Moving against Jfrog Etf

0.79	002439	Beijing Venustech	Pair Corr
0.78	INLX	Intellinetics	Pair Corr
0.78	INTZ	Intrusion Tech Boost	Pair Corr
0.74	DTSS	Datasea	Pair Corr
0.73	TLS	Telos Corp	Pair Corr
0.72	AI	C3 Ai Inc	Pair Corr
0.71	VRNS	Varonis Systems	Pair Corr
0.7	FUBO	Fubotv Inc Aggressive Push	Pair Corr
0.69	S	SentinelOne	Pair Corr
0.69	ZS	Zscaler	Pair Corr
0.68	PGY	Pagaya Technologies	Pair Corr
0.65	PRO	Prophecy International	Pair Corr
0.61	GROV	Virgin Group Acquisition	Pair Corr
0.58	NOW	ServiceNow	Pair Corr
0.57	RPD	Rapid7 Inc	Pair Corr
0.56	IVDA	Iveda Solutions	Pair Corr
0.53	ANY	Sphere 3D Corp	Pair Corr
0.46	GTLB	Gitlab Inc	Pair Corr
0.45	BB	BlackBerry	Pair Corr
0.45	FTNT	Fortinet Sell-off Trend	Pair Corr
0.42	300311	Surfilter Network	Pair Corr
0.84	RIOT	Riot Blockchain Aggressive Push	Pair Corr
0.84	SVCO	Silvaco Group Common	Pair Corr
0.83	ORCL	Oracle	Pair Corr
0.83	300339	Jiangsu Hoperun Software	Pair Corr
0.82	300380	Shanghai Amarsoft	Pair Corr
0.77	NBIS	Nebius Group NV Aggressive Push	Pair Corr
0.73	002380	Nanjing Sciyon Automation	Pair Corr
0.72	TAOX	TAO Synergies Symbol Change	Pair Corr
0.71	PANW	Palo Alto Networks	Pair Corr

Related Correlations Analysis

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.6	0.33	-0.42	0.24	-0.28	0.41	-0.19	-0.36	-0.43	META
MSFT	0.6		0.81	-0.55	0.46	0.01	0.09	-0.46	-0.83	-0.69	MSFT
UBER	0.33	0.81		-0.5	0.44	0.29	-0.16	-0.5	-0.81	-0.56	UBER
F	-0.42	-0.55	-0.5		-0.7	0.16	0.26	0.64	0.71	0.75	F
T	0.24	0.46	0.44	-0.7		0.28	-0.52	-0.61	-0.5	-0.62	T
A	-0.28	0.01	0.29	0.16	0.28		-0.54	-0.24	-0.02	-0.02	A
CRM	0.41	0.09	-0.16	0.26	-0.52	-0.54		0.54	0.16	0.11	CRM
JPM	-0.19	-0.46	-0.5	0.64	-0.61	-0.24	0.54		0.64	0.54	JPM
MRK	-0.36	-0.83	-0.81	0.71	-0.5	-0.02	0.16	0.64		0.8	MRK
XOM	-0.43	-0.69	-0.56	0.75	-0.62	-0.02	0.11	0.54	0.8		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

Please upgrade your account to get full access to Macroaxis premium features

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	+ 0.81	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.75	F
MRK	+ 0.71	F
JPM	+ 0.64	F
MRK	+ 0.64	JPM

High negative correlations

MRK	- 0.83	MSFT
MRK	- 0.81	UBER
T	- 0.7	F
XOM	- 0.69	MSFT
XOM	- 0.62	T
JPM	- 0.61	T

Jfrog Competition Risk-Adjusted Indicators

There is a big difference between Jfrog Etf performing well and Jfrog 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 Jfrog'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	1.33	(0.30)	0.00	(0.22)	0.00	0.00	2.30	(2.67)	13.46
MSFT	0.93	(0.22)	0.00	(0.40)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.45	(0.24)	0.00	(0.17)	0.00	0.00	2.60	(3.82)	10.23
F	1.41	0.16	0.14	0.21	1.25	(1.70)	3.38	(2.35)	16.30
T	0.90	(0.14)	0.00	(0.27)	0.00	0.00	1.63	(1.85)	5.78
A	1.09	(0.04)	(0.02)	0.06	1.21	(1.20)	2.34	(2.09)	6.50
CRM	1.58	(0.18)	0.00	(0.08)	0.00	0.00	3.66	(3.61)	12.37
JPM	1.14	(0.13)	(0.05)	0.01	1.66	(1.13)	2.00	(2.34)	7.38
MRK	1.22	0.32	0.24	0.48	0.97	(1.55)	3.59	(1.98)	8.09
XOM	1.07	0.22	0.10	2.79	0.97	(1.22)	2.37	(1.51)	5.82

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

Feedback Blog

Made with optimal in San Francisco

2026 Macroaxis LLC