Ether ETF's market value is the price at which a share of Ether ETF trades on a public exchange. It measures the collective expectations of Ether ETF CAD investors about its performance. Ether ETF is selling at 12.07 as of the 2nd of February 2026; that is 3.75 percent down since the beginning of the trading day. The etf's open price was 12.54. With this module, you can estimate the performance of a buy and hold strategy of Ether ETF CAD and determine expected loss or profit from investing in Ether ETF over a given investment horizon. Check out Ether ETF Correlation, Ether ETF Volatility and Ether ETF Performance module to complement your research on Ether ETF.
It's important to distinguish between Ether ETF's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Ether ETF should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Ether ETF's market price signifies the transaction level at which participants voluntarily complete trades.
Ether ETF 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Ether ETF's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Ether ETF.
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11/04/2025
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In 2 months and 31 days
02/02/2026
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If you would invest 0.00 in Ether ETF on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Ether ETF CAD or generate 0.0% return on investment in Ether ETF over 90 days. Ether ETF is related to or competes with Hamilton Canadian, TD Q, RBC Quant, Vanguard Canadian, First Asset, IShares Conservative, and CIBC International. ETHER ETF is traded on Toronto Stock Exchange in Canada. More
Ether ETF Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Ether ETF's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Ether ETF CAD upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ether ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ether ETF's standard deviation. In reality, there are many statistical measures that can use Ether ETF historical prices to predict the future Ether ETF's volatility.
Ether ETF CAD secures Sharpe Ratio (or Efficiency) of -0.0692, which denotes the etf had a -0.0692 % return per unit of risk over the last 3 months. Ether ETF CAD exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Ether ETF's Standard Deviation of 4.29, mean deviation of 3.34, and Variance of 18.38 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.69, which means possible diversification benefits within a given portfolio. As returns on the market increase, Ether ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding Ether ETF is expected to be smaller as well.
Auto-correlation
-0.39
Poor reverse predictability
Ether ETF CAD has poor reverse predictability. Overlapping area represents the amount of predictability between Ether ETF time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Ether ETF CAD price movement. The serial correlation of -0.39 indicates that just about 39.0% of current Ether ETF price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.39
Spearman Rank Test
-0.08
Residual Average
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Price Variance
0.73
Pair Trading with Ether ETF
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Ether ETF position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Ether ETF will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Ether ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Ether ETF 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 Ether ETF - 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 Ether ETF CAD to buy it.
The correlation of Ether ETF 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 perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Ether ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ether ETF CAD moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Ether ETF can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
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.