Evolve Cryptocurrencies Etf Market Value
| ETC-U Etf | 14.01 0.09 0.64% |
| Symbol | Evolve |
Please note, there is a significant difference between Evolve Cryptocurrencies' value and its price as these two are different measures arrived at by different means. Investors typically determine if Evolve Cryptocurrencies is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Evolve Cryptocurrencies' price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Evolve Cryptocurrencies '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 Evolve Cryptocurrencies' 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 Evolve Cryptocurrencies.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in Evolve Cryptocurrencies on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Evolve Cryptocurrencies ETF or generate 0.0% return on investment in Evolve Cryptocurrencies over 90 days. Evolve Cryptocurrencies is related to or competes with Evolve Innovation, Evolve Enhanced, and Evolve Canadian. More
Evolve Cryptocurrencies 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 Evolve Cryptocurrencies' 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 Evolve Cryptocurrencies ETF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.11) | |||
| Maximum Drawdown | 23.73 | |||
| Value At Risk | (8.23) | |||
| Potential Upside | 4.49 |
Evolve Cryptocurrencies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evolve Cryptocurrencies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evolve Cryptocurrencies' standard deviation. In reality, there are many statistical measures that can use Evolve Cryptocurrencies historical prices to predict the future Evolve Cryptocurrencies' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (0.44) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (0.64) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Evolve Cryptocurrencies' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Evolve Cryptocurrencies Backtested Returns
Evolve Cryptocurrencies secures Sharpe Ratio (or Efficiency) of -0.13, which denotes the etf had a -0.13 % return per unit of risk over the last 3 months. Evolve Cryptocurrencies ETF exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Evolve Cryptocurrencies' Mean Deviation of 2.71, standard deviation of 4.0, and Variance of 16.0 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.82, which means possible diversification benefits within a given portfolio. As returns on the market increase, Evolve Cryptocurrencies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Evolve Cryptocurrencies is expected to be smaller as well.
Auto-correlation | -0.22 |
Weak reverse predictability
Evolve Cryptocurrencies ETF has weak reverse predictability. Overlapping area represents the amount of predictability between Evolve Cryptocurrencies time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Evolve Cryptocurrencies price movement. The serial correlation of -0.22 indicates that over 22.0% of current Evolve Cryptocurrencies price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.22 | |
| Spearman Rank Test | -0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 1.28 |
Evolve Cryptocurrencies lagged returns against current returns
Autocorrelation, which is Evolve Cryptocurrencies etf's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Evolve Cryptocurrencies' etf expected returns. We can calculate the autocorrelation of Evolve Cryptocurrencies returns to help us make a trade decision. For example, suppose you find that Evolve Cryptocurrencies has exhibited high autocorrelation historically, and you observe that the etf is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Evolve Cryptocurrencies regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Evolve Cryptocurrencies etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Evolve Cryptocurrencies etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Evolve Cryptocurrencies etf over time.
Current vs Lagged Prices |
| Timeline |
Evolve Cryptocurrencies Lagged Returns
When evaluating Evolve Cryptocurrencies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Evolve Cryptocurrencies etf have on its future price. Evolve Cryptocurrencies autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Evolve Cryptocurrencies autocorrelation shows the relationship between Evolve Cryptocurrencies etf current value and its past values and can show if there is a momentum factor associated with investing in Evolve Cryptocurrencies ETF.
Regressed Prices |
| Timeline |
Pair Trading with Evolve Cryptocurrencies
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 Evolve Cryptocurrencies 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 Evolve Cryptocurrencies will appreciate offsetting losses from the drop in the long position's value.Moving together with Evolve Etf
Moving against Evolve Etf
| 0.42 | ZAG | BMO Aggregate Bond | PairCorr |
| 0.42 | TCLB | TD Canadian Long | PairCorr |
| 0.41 | XBB | iShares Canadian Universe | PairCorr |
The ability to find closely correlated positions to Evolve Cryptocurrencies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Evolve Cryptocurrencies 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 Evolve Cryptocurrencies - 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 Evolve Cryptocurrencies ETF to buy it.
The correlation of Evolve Cryptocurrencies 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 Evolve Cryptocurrencies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Evolve Cryptocurrencies 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 Evolve Cryptocurrencies 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.Other Information on Investing in Evolve Etf
Evolve Cryptocurrencies financial ratios help investors to determine whether Evolve 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 Evolve with respect to the benefits of owning Evolve Cryptocurrencies security.