Ether ETF Competition
ETHR Etf | CAD 16.77 0.32 1.95% |
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Ether |
Ether ETF Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Ether ETF 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 Ether 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 Ether ETF CAD does not affect the price movement of the other competitor.
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High positive correlations
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Ether ETF Competition Risk-Adjusted Indicators
There is a big difference between Ether Etf performing well and Ether ETF 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 Ether ETF'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 | ||
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META | 1.16 | 0.06 | 0.03 | 0.15 | 1.43 | 2.62 | 7.43 | |||
MSFT | 0.87 | (0.02) | (0.02) | (0.01) | 1.63 | 1.78 | 8.14 | |||
UBER | 1.71 | (0.32) | 0.00 | (0.34) | 0.00 | 2.67 | 20.41 | |||
F | 1.44 | (0.15) | 0.00 | (0.08) | 0.00 | 2.53 | 11.21 | |||
T | 0.96 | 0.11 | 0.08 | 0.52 | 1.12 | 1.93 | 7.95 | |||
A | 1.24 | (0.09) | 0.00 | (0.16) | 0.00 | 2.71 | 9.02 | |||
CRM | 1.48 | 0.37 | 0.23 | 0.30 | 1.30 | 3.18 | 14.80 | |||
JPM | 1.04 | 0.16 | 0.14 | 0.11 | 1.08 | 1.99 | 15.87 | |||
MRK | 0.96 | (0.27) | 0.00 | (1.10) | 0.00 | 1.72 | 5.17 | |||
XOM | 0.90 | (0.14) | 0.00 | (0.43) | 0.00 | 1.83 | 6.06 |
Ether ETF Competitive Analysis
The better you understand Ether ETF competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Ether ETF'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 Ether ETF's competition over several years is one of the best ways to analyze its investment potential.Better Than Average | Worse Than Peers | View Performance Chart |
ETHR | BTCQ | BTCC | ETHQ | BITI | HUV | |
1.95 16.77 Ether | 0.05 21.99 3iQ | 0.06 17.92 Purpose | 2.10 19.45 3iQ | 0.18 21.70 BetaPro | 15.52 8.44 BetaPro | Market Volatility (90 Days Market Risk) |
Market Performance (90 Days Performance) | ||||||
Odds of Financial Distress (Probability Of Bankruptcy) | ||||||
Current Valuation (Equity Enterprise Value) | ||||||
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Trade Advice (90 Days Macroaxis Advice) | ||||||
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Net Asset | ||||||
Day Typical Price | ||||||
Accumulation Distribution | ||||||
Market Facilitation Index | ||||||
Daily Balance Of Power | ||||||
Period Momentum Indicator | ||||||
Rate Of Daily Change | ||||||
Day Median Price | ||||||
Price Action Indicator | ||||||
Relative Strength Index | ||||||
Coefficient Of Variation | ||||||
Mean Deviation | ||||||
Jensen Alpha | ||||||
Total Risk Alpha | ||||||
Sortino Ratio | ||||||
Downside Variance | ||||||
Standard Deviation | ||||||
Kurtosis | ||||||
Potential Upside | ||||||
Treynor Ratio | ||||||
Maximum Drawdown | ||||||
Variance | ||||||
Market Risk Adjusted Performance | ||||||
Risk Adjusted Performance | ||||||
Skewness | ||||||
Semi Deviation | ||||||
Information Ratio | ||||||
Value At Risk | ||||||
Expected Short fall | ||||||
Downside Deviation | ||||||
Semi Variance |
Ether ETF Competition Performance Charts
Five steps to successful analysis of Ether ETF Competition
Ether ETF'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 Ether ETF CAD in relation to its competition. Ether ETF's competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Ether ETF 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 Ether ETF's competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Ether ETF CAD, 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.
Complement your Ether ETF position
In addition to having Ether ETF 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.Did You Try This Idea?
Run Coal Thematic Idea Now
Coal
Fama and French investing themes focus on testing asset pricing under different economic assumptions. The Coal theme has 13 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 Coal Theme or any other thematic opportunities.
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Other Information on Investing in Ether Etf
Ether ETF financial ratios help investors to determine whether Ether Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Ether with respect to the benefits of owning Ether ETF security.