Clean Seas Correlations

CTUNF Stock

USD 0.07 0.00 0.00%

The current 90-days correlation between Clean Seas Seafood and Alico Inc is -0.11 (i.e., Good diversification). The correlation of Clean Seas 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.

Clean Seas Correlation With Market

Average diversification

The correlation between Clean Seas Seafood and DJI is 0.1 (i.e., Average diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Clean Seas Seafood and DJI in the same portfolio, assuming nothing else is changed.

The ability to find closely correlated positions to Clean Seas could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Clean Seas 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 Clean Seas - 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 Clean Seas Seafood to buy it.

Moving against Clean Pink Sheet

0.82	RR	Richtech Robotics Class	Pair Corr
0.41	MNHVF	Mowi ASA	Pair Corr
0.33	FSTF	First State Financial	Pair Corr
0.77	RGTI	Rigetti Computing Aggressive Push	Pair Corr
0.53	CCVTF	China Conch Venture	Pair Corr
0.49	TATT	Tat Techno	Pair Corr
0.44	PLTR	Palantir Technologies Aggressive Push	Pair Corr
0.42	DTSTW	Data Storage	Pair Corr
0.8	QBTS	D Wave Quantum Upward Rally	Pair Corr
0.71	ODC	Oil Dri	Pair Corr
0.53	TSLA	Tesla Inc Buyout Trend	Pair Corr
0.45	CBOBA	Community Bank	Pair Corr
0.44	PWSC	Powerschool Holdings	Pair Corr
0.35	FMCCM	Federal Home Loan	Pair Corr

Related Correlations Analysis

	LND	ALCO	EDBL	VITL	LOCL	GCEH	LMNR	EDBLW	AGRI
LND		0.27	0.38	-0.16	0.61	-0.7	0.04	0.15	0.79	LND
ALCO	0.27		0.58	0.06	-0.18	-0.31	0.34	-0.04	-0.06	ALCO
EDBL	0.38	0.58		0.06	0.08	-0.3	0.07	0.24	0.22	EDBL
VITL	-0.16	0.06	0.06		0.15	-0.21	-0.02	-0.32	0.01	VITL
LOCL	0.61	-0.18	0.08	0.15		-0.46	-0.13	0.08	0.84	LOCL
GCEH	-0.7	-0.31	-0.3	-0.21	-0.46		-0.02	0.21	-0.56	GCEH
LMNR	0.04	0.34	0.07	-0.02	-0.13	-0.02		-0.14	0.0	LMNR
EDBLW	0.15	-0.04	0.24	-0.32	0.08	0.21	-0.14		0.15	EDBLW
AGRI	0.79	-0.06	0.22	0.01	0.84	-0.56	0.0	0.15		AGRI
	LND	ALCO	EDBL	VITL	LOCL	GCEH	LMNR	EDBLW	AGRI

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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

AGRI	+ 0.84	LOCL
AGRI	+ 0.79	LND
LOCL	+ 0.61	LND
EDBL	+ 0.58	ALCO
EDBL	+ 0.38	LND
LMNR	+ 0.34	ALCO

High negative correlations

GCEH	- 0.7	LND
AGRI	- 0.56	GCEH
GCEH	- 0.46	LOCL
EDBLW	- 0.32	VITL
GCEH	- 0.31	ALCO
GCEH	- 0.3	EDBL

Risk-Adjusted Indicators

There is a big difference between Clean Pink Sheet performing well and Clean Seas 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 Clean Seas' 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
LND	1.11	(0.29)	0.00	(0.45)	0.00	0.00	1.97	(3.23)	7.35
ALCO	1.52	(0.14)	0.00	(0.09)	0.00	0.00	3.90	(3.23)	11.33
EDBL	7.19	(0.55)	0.00	(0.14)	0.00	0.00	14.29	(16.05)	38.30
VITL	2.30	0.24	0.06	0.21	3.54	(2.32)	4.06	(4.67)	18.97
LOCL	4.51	0.32	0.05	(0.19)	4.58	(7.06)	10.32	(6.49)	88.92
GCEH	7.51	3.38	0.55	2.42	3.93	(11.27)	39.02	(9.09)	50.34
LMNR	1.53	(0.07)	0.00	(0.02)	0.00	0.00	3.30	(3.52)	11.23
EDBLW	26.27	7.47	0.29	(2.13)	18.97	(42.25)	83.02	(34.37)	235.42
AGRI	4.86	(0.84)	0.00	1.12	0.00	0.00	9.09	(11.86)	46.62

Be your own money manager

Our tools can tell you how much better you can do entering a position in Clean Seas 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.

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Clean Seas Corporate Management

David Brown	Joint Company Secretary	Profile
Robert Gratton	Joint Company Secretary	Profile
Chester Wilkes	Marine Production Manager	Profile
Eryl Baron	Joint Sec	Profile
Tim Dohrmann	Investor Relations	Profile

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