Sipup Correlations

SPUP Stock

USD 0.0001 0.0002 66.67%

The current 90-days correlation between Sipup and TechCom is 0.01 (i.e., Significant diversification). The correlation of Sipup 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.

Sipup Correlation With Market

Significant diversification

The correlation between Sipup and DJI is 0.03 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Sipup and DJI in the same portfolio, assuming nothing else is changed.

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

Moving together with Sipup Pink Sheet

0.72

12532HAF1

GIBACN 23 14

Pair Corr

Moving against Sipup Pink Sheet

0.79	GWW	WW Grainger	Pair Corr
0.78	LION	Lionsgate Studios Holding Buyout Trend	Pair Corr
0.72	RIVN	Rivian Automotive Aggressive Push	Pair Corr
0.71	INFY	Infosys Ltd ADR Potential Growth	Pair Corr
0.7	PBAJ	Petro Usa	Pair Corr
0.46	RLMD	Relmada Therapeutics	Pair Corr
0.4	F	Ford Motor	Pair Corr
0.85	ASTI	Ascent Solar Technol Tech Boost	Pair Corr
0.82	CRRFY	Carrefour SA PK	Pair Corr
0.66	AVTBF	Avant Brands	Pair Corr
0.64	ULTA	Ulta Beauty	Pair Corr
0.51	IDN	Intellicheck Mobilisa	Pair Corr
0.51	REGN	Regeneron Pharmaceuticals	Pair Corr
0.45	DNLMY	Dunelm Group PLC	Pair Corr
0.43	HE	Hawaiian Electric	Pair Corr
0.42	AKAM	Akamai Technologies	Pair Corr
0.32	KYOCF	Kyocera	Pair Corr
0.93	ZPTA	Zapata Computing Holdings Buyout Trend	Pair Corr
0.88	ALVLF	Big Ridge Gold	Pair Corr
0.77	AA	Alcoa Corp	Pair Corr
0.69	CX	Cemex SAB de Aggressive Push	Pair Corr
0.64	BAC	Bank of America Aggressive Push	Pair Corr
0.55	SHUFF	Shufersal Trending	Pair Corr

Related Correlations Analysis

	ITRX	TCRI	PSCO	BOREF	EWGFF	ABVN	MGTE	PNXPF	DPXCF	GFOO
ITRX		-0.13	0.27	-0.06	0.14	0.14	-0.21	0.12	0.49	0.0	ITRX
TCRI	-0.13		0.16	-0.17	-0.16	-0.24	-0.09	0.32	0.18	0.0	TCRI
PSCO	0.27	0.16		-0.06	0.14	0.0	-0.36	0.3	0.6	0.0	PSCO
BOREF	-0.06	-0.17	-0.06		-0.12	0.35	-0.11	-0.48	-0.28	0.0	BOREF
EWGFF	0.14	-0.16	0.14	-0.12		-0.19	0.06	0.05	0.4	0.0	EWGFF
ABVN	0.14	-0.24	0.0	0.35	-0.19		-0.13	-0.39	-0.3	0.0	ABVN
MGTE	-0.21	-0.09	-0.36	-0.11	0.06	-0.13		-0.41	-0.58	0.0	MGTE
PNXPF	0.12	0.32	0.3	-0.48	0.05	-0.39	-0.41		0.6	0.0	PNXPF
DPXCF	0.49	0.18	0.6	-0.28	0.4	-0.3	-0.58	0.6		0.0	DPXCF
GFOO	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0		GFOO
	ITRX	TCRI	PSCO	BOREF	EWGFF	ABVN	MGTE	PNXPF	DPXCF	GFOO

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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

DPXCF	+ 0.6	PSCO
DPXCF	+ 0.6	PNXPF
DPXCF	+ 0.49	ITRX
DPXCF	+ 0.4	EWGFF
ABVN	+ 0.35	BOREF
PNXPF	+ 0.32	TCRI

High negative correlations

DPXCF	- 0.58	MGTE
PNXPF	- 0.48	BOREF
PNXPF	- 0.41	MGTE
PNXPF	- 0.39	ABVN
MGTE	- 0.36	PSCO
DPXCF	- 0.3	ABVN

Risk-Adjusted Indicators

There is a big difference between Sipup Pink Sheet performing well and Sipup 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 Sipup'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
ITRX	4.98	1.95	0.00	(1.25)	0.00	0.00	0.00	0.00	31.41
TCRI	6.66	1.08	0.03	4.61	9.70	(32.52)	15.79	(15.00)	115.00
PSCO	32.74	9.54	0.19	8.86	24.44	(81.04)	131.73	(56.81)	457.24
BOREF	8.84	0.58	0.05	0.22	9.60	(20.33)	29.03	(25.00)	98.67
EWGFF	1,336	706.59	8.19	7.51	72.66	(6,815)	3,233	(97.00)	20,000
ABVN	0.96	(0.05)	0.00	(0.49)	0.00	0.00	1.00	0.00	24.88
MGTE	3.88	0.49	0.05	0.73	5.52	(5.68)	9.55	(10.80)	32.00
PNXPF	4.71	0.08	0.00	0.25	5.58	(9.83)	12.50	(10.81)	50.43
DPXCF	1.54	(0.58)	0.00	4.80	0.00	0.00	0.00	(7.81)	16.60
GFOO	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00	0.00

Be your own money manager

Our tools can tell you how much better you can do entering a position in Sipup 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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