Surge Components Correlations

SPRS Stock

USD 3.35 0.15 4.69%

The current 90-days correlation between Surge Components and Winland Holdings is 0.18 (i.e., Average diversification). The correlation of Surge Components 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.

Surge Components Correlation With Market

Significant diversification

The correlation between Surge Components and DJI is 0.06 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Surge Components and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Surge Components could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Surge Components when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Surge Components - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Surge Components to buy it.

Moving together with Surge Pink Sheet

0.71	LNDNF	Lundin Energy AB	Pair Corr
0.69	EGP	EastGroup Properties	Pair Corr
0.78	APGE	Apogee Therapeutics,	Pair Corr
0.8	REGN	Regeneron Pharmaceuticals	Pair Corr
0.82	CX	Cemex SAB de	Pair Corr
0.62	HL	Hecla Mining	Pair Corr
0.61	NOEM	CO2 Energy Transition	Pair Corr
0.68	STAG	STAG Industrial	Pair Corr
0.78	KYOCF	Kyocera	Pair Corr
0.78	GM	General Motors	Pair Corr
0.61	AKAM	Akamai Technologies	Pair Corr
0.88	CHACR	Crane Harbor Acquisition	Pair Corr
0.73	DNLMY	Dunelm Group PLC	Pair Corr
0.73	RLMD	Relmada Therapeutics	Pair Corr

Moving against Surge Pink Sheet

0.36	WOLF	Wolfspeed,	Pair Corr
0.32	BKLRF	Berkeley Energy	Pair Corr
0.43	26442TAG2	US26442TAG22	Pair Corr
0.39	SWRM	Appswarm	Pair Corr

Related Correlations Analysis

	WELX	CCTC	AITX	LTCH	MMTIF	NOWVF	AMOSF	DYSL	XNDA	MFON
WELX		0.22	0.66	-0.61	0.38	0.74	0.0	-0.24	0.55	0.44	WELX
CCTC	0.22		0.44	-0.09	0.2	0.23	0.0	0.58	-0.14	0.16	CCTC
AITX	0.66	0.44		-0.6	0.2	0.57	0.0	0.15	0.35	0.63	AITX
LTCH	-0.61	-0.09	-0.6		-0.31	-0.51	0.0	0.34	-0.58	-0.5	LTCH
MMTIF	0.38	0.2	0.2	-0.31		0.39	0.0	-0.13	0.09	0.01	MMTIF
NOWVF	0.74	0.23	0.57	-0.51	0.39		0.0	-0.01	0.51	0.23	NOWVF
AMOSF	0.0	0.0	0.0	0.0	0.0	0.0		0.0	0.0	0.0	AMOSF
DYSL	-0.24	0.58	0.15	0.34	-0.13	-0.01	0.0		-0.45	-0.06	DYSL
XNDA	0.55	-0.14	0.35	-0.58	0.09	0.51	0.0	-0.45		0.21	XNDA
MFON	0.44	0.16	0.63	-0.5	0.01	0.23	0.0	-0.06	0.21		MFON
	WELX	CCTC	AITX	LTCH	MMTIF	NOWVF	AMOSF	DYSL	XNDA	MFON

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

NOWVF	+ 0.74	WELX
AITX	+ 0.66	WELX
MFON	+ 0.63	AITX
DYSL	+ 0.58	CCTC
NOWVF	+ 0.57	AITX
XNDA	+ 0.55	WELX

High negative correlations

LTCH	- 0.61	WELX
LTCH	- 0.6	AITX
XNDA	- 0.58	LTCH
NOWVF	- 0.51	LTCH
MFON	- 0.5	LTCH
XNDA	- 0.45	DYSL

Risk-Adjusted Indicators

There is a big difference between Surge Pink Sheet performing well and Surge Components Company 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 Surge Components' 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
WELX	2.66	(0.25)	0.00	(0.45)	0.00	0.00	7.35	(5.65)	16.54
CCTC	0.43	(0.23)	0.00	5.45	0.00	0.00	0.00	0.00	14.47
AITX	4.56	(0.65)	0.00	(0.66)	0.00	0.00	12.50	(11.11)	25.00
LTCH	7.92	1.07	0.06	(0.45)	8.37	(18.35)	18.18	(16.67)	85.00
MMTIF	6.00	0.36	0.01	0.51	8.52	(25.18)	33.33	(25.00)	58.33
NOWVF	2.75	(0.06)	0.00	1.06	0.00	0.00	11.76	(9.09)	38.44
AMOSF	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00
DYSL	1.12	(0.36)	0.00	(4.10)	0.00	0.00	0.00	0.00	37.14
XNDA	29.64	9.71	0.32	2.57	21.07	(51.88)	90.00	(44.38)	368.73
MFON	3.07	(0.27)	0.00	(0.18)	0.00	0.00	8.70	(10.00)	48.48

Be your own money manager

Our tools can tell you how much better you can do entering a position in Surge Components without increasing your portfolio risk or giving up the expected return. As an individual investor, you need to find a reliable way to track all your investment portfolios. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing all investors analytical transparency into all their portfolios, our tools can evaluate risk-adjusted returns of your individual positions relative to your overall portfolio.

Did you try this?

Run Piotroski F Score Now

Piotroski F Score

Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals

All Next

Launch Module

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

2025 Macroaxis LLC