SDGS Competition

SDGS competes with Grizzle Growth; as well as few others. Analyzing SDGS competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of SDGS to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.

You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of SDGS competition on your existing holdings.

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Please note, it is not enough to conduct a financial or market analysis of a single entity such as SDGS. Your research has to be compared to or analyzed against SDGS's peers to derive any actionable benefits. When done correctly, SDGS's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in SDGS.

SDGS Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between SDGS and its competitors represents the degree of relationship between the price movements of corresponding etfs. A correlation of about +1.0 implies that the price of SDGS and its corresponding peer move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated; in other words, the historical price movement of SDGS does not affect the price movement of the other competitor.

	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM
META		0.61	0.35	-0.45	0.24	-0.31	0.35	-0.22	-0.36	-0.45	META
MSFT	0.61		0.83	-0.54	0.43	-0.01	0.0	-0.51	-0.82	-0.65	MSFT
UBER	0.35	0.83		-0.51	0.45	0.25	-0.2	-0.52	-0.82	-0.6	UBER
F	-0.45	-0.54	-0.51		-0.69	0.23	0.33	0.65	0.69	0.78	F
T	0.24	0.43	0.45	-0.69		0.25	-0.61	-0.65	-0.48	-0.61	T
A	-0.31	-0.01	0.25	0.23	0.25		-0.5	-0.2	0.01	0.02	A
CRM	0.35	0.0	-0.2	0.33	-0.61	-0.5		0.55	0.24	0.27	CRM
JPM	-0.22	-0.51	-0.52	0.65	-0.65	-0.2	0.55		0.69	0.67	JPM
MRK	-0.36	-0.82	-0.82	0.69	-0.48	0.01	0.24	0.69		0.8	MRK
XOM	-0.45	-0.65	-0.6	0.78	-0.61	0.02	0.27	0.67	0.8		XOM
	META	MSFT	UBER	F	T	A	CRM	JPM	MRK	XOM

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High positive correlations

UBER	+ 0.83	MSFT
XOM	+ 0.8	MRK
XOM	+ 0.78	F
MRK	+ 0.69	F
MRK	+ 0.69	JPM
XOM	+ 0.67	JPM

High negative correlations

MRK	- 0.82	UBER
MRK	- 0.82	MSFT
T	- 0.69	F
JPM	- 0.65	T
XOM	- 0.65	MSFT
XOM	- 0.61	T

SDGS Competition Risk-Adjusted Indicators

There is a big difference between SDGS Etf performing well and SDGS 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 SDGS'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	1.36	(0.30)	0.00	(0.21)	0.00	0.00	2.30	(2.72)	13.46
MSFT	0.93	(0.20)	0.00	(0.30)	0.00	0.00	1.65	(2.50)	4.90
UBER	1.49	(0.24)	0.00	(0.18)	0.00	0.00	2.60	(3.82)	10.23
F	1.41	0.22	0.16	0.25	1.26	(1.68)	3.38	(2.35)	16.30
T	0.90	(0.16)	0.00	(0.53)	0.00	0.00	1.63	(1.85)	5.78
A	1.12	(0.03)	(0.01)	0.06	1.29	(1.20)	2.34	(2.22)	6.50
CRM	1.60	(0.10)	(0.04)	(0.01)	2.36	(1.55)	3.66	(3.61)	9.91
JPM	1.18	(0.08)	(0.03)	0.03	1.67	(1.19)	2.34	(2.34)	7.02
MRK	1.22	0.27	0.20	0.40	1.06	(1.52)	3.59	(1.98)	8.09
XOM	1.06	0.16	0.08	0.73	1.05	(1.18)	2.21	(1.93)	5.82

Unable to evaluate fundamental data of [NIWM, KPOP, CHB, SMLE, LJIM, KSEA, GRZZ, NXTV, NVQ, BYTE] at this time. Please try again later

All Fundamental Data

SDGS Competitive Analysis

The better you understand SDGS competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, SDGS's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across SDGS's competition over several years is one of the best ways to analyze its investment potential.

Better Than Average

Worse Than Peers

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	KPOP	KSEA	GRZZ	NXTV
	0.00 13.83 Exchange	0.00 27.00 KraneShares	1.61 47.42 Grizzle	0.00 25.58 Simplify
Market Volatility (90 Days Market Risk)	Very steady	Very steady	Very steady	Very steady
Market Performance (90 Days Performance)	Weakest	Weakest	Fair	Weakest
Odds of Financial Distress (Probability Of Bankruptcy)	Low	Low	Low	Low
Current Valuation (Equity Enterprise Value)	Over Valued	Over Valued	Fairly Valued	Over Valued
Buy or Sell Advice (Average Analysts Consensus)	Not Available	Not Available	Not Available	Not Available
Trade Advice (90 Days Macroaxis Advice)	Not Rated	Not Rated	Cautious Hold	Not Rated
Equity Positions Weight	99.46 %	N/A	98.12 %	N/A
One Year Return	(15.50) %	(0.70) %	39.10 %	6.80 %
Three Year Return	N/A	N/A	33.00 %	N/A
Net Asset	2.2 M	N/A	1.02 M	N/A
Annual Yield	N/A	N/A	N/A	0 %
Beta	N/A	N/A	N/A	N/A
Day Typical Price	13.83	27.0	47.34	25.58
Accumulation Distribution	N/A	N/A	0.0128	N/A
Market Facilitation Index	N/A	N/A	0.61	N/A
Daily Balance Of Power	0.0	0.0	1.229508	0.0
Period Momentum Indicator	N/A	N/A	0.75	N/A
Rate Of Daily Change	1.0	1.0	1.02	1.0
Day Median Price	13.83	27.0	47.31	25.58
Price Action Indicator	N/A	N/A	0.49	N/A
Coefficient Of Variation	1010.75	(21,198)	1068.83	(6,069)
Mean Deviation	1.35	0.8821	1.26	1.1
Jensen Alpha	0.1715	0.0099	N/A	(0.05)
Total Risk Alpha	(0.03)	(0.17)	(0.04)	(0.23)
Sortino Ratio	0.0474	N/A	0.0356	N/A
Downside Variance	3.45	N/A	3.76	N/A
Standard Deviation	1.83	1.4	1.73	1.77
Kurtosis	0.8973	8.45	0.6536	7.2
Potential Upside	3.25	1.63	3.06	1.96
Treynor Ratio	(16.10)	0.0517	N/A	(0.53)
Maximum Drawdown	9.39	8.98	7.89	11.28
Variance	3.33	1.96	2.99	3.12
Market Risk Adjusted Performance	(16.09)	0.0617	N/A	(0.52)
Risk Adjusted Performance	0.0799	0.0011	0.0757	(0.01)
Skewness	0.1452	0.8037	(0.36)	0.5756
Semi Deviation	1.52	N/A	1.66	N/A
Information Ratio	0.0482	(0.07)	0.0399	(0.07)
Value At Risk	(2.74)	(1.68)	(3.47)	(2.74)
Expected Short fall	(1.57)	N/A	(1.43)	N/A
Downside Deviation	1.86	N/A	1.94	N/A
Semi Variance	2.3	N/A	2.77	N/A

SDGS Competition Performance Charts

Five steps to successful analysis of SDGS Competition

SDGS's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by SDGS in relation to its competition. SDGS's competition analysis typically involves several steps, including:

Identifying the key players in the market: This involves identifying the major competitors of SDGS in the market, both direct and indirect, as well as new entrants and disruptive technologies.
Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact SDGS's competitive landscape.
Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to SDGS, and developing a strategy to address them.
Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.

Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Complement your SDGS position

In addition to having SDGS in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.

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Compulsion

Companies involved in research, development, and manufacturing of products with compulsion characteristics such as cigarettes, addictive drugs and alcohol. The Compulsion theme has 40 constituents at this time.

You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Compulsion Theme or any other thematic opportunities.

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Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in price.

You can also try the Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.

Other Tools for SDGS Etf

When running SDGS's price analysis, check to measure SDGS's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy SDGS is operating at the current time. Most of SDGS's value examination focuses on studying past and present price action to predict the probability of SDGS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SDGS's price. Additionally, you may evaluate how the addition of SDGS to your portfolios can decrease your overall portfolio volatility.

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