Evolve Cryptocurrencies Etf Market Value
| ETC Etf | 20.27 0.42 2.12% |
| Symbol | Evolve |
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.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Evolve Cryptocurrencies on October 31, 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 30 days. Evolve Cryptocurrencies is related to or competes with Evolve Innovation, Evolve Enhanced, Evolve Canadian, and Evolve Global. Equitable Group Inc., through its subsidiary, Equitable Bank, offer various financial services to retail and commercial customers in Canada. 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.
| Downside Deviation | 2.33 | |||
| Information Ratio | 0.2091 | |||
| Maximum Drawdown | 17.23 | |||
| Value At Risk | (3.61) | |||
| Potential Upside | 6.07 |
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 | 0.1984 | |||
| Jensen Alpha | 0.7197 | |||
| Total Risk Alpha | 0.272 | |||
| Sortino Ratio | 0.3073 | |||
| Treynor Ratio | 0.8704 |
Evolve Cryptocurrencies Backtested Returns
Evolve Cryptocurrencies appears to be not too volatile, given 3 months investment horizon. Evolve Cryptocurrencies secures Sharpe Ratio (or Efficiency) of 0.25, which denotes the etf had a 0.25% return per unit of risk over the last 3 months. By reviewing Evolve Cryptocurrencies' technical indicators, you can evaluate if the expected return of 0.88% is justified by implied risk. Please utilize Evolve Cryptocurrencies' Downside Deviation of 2.33, mean deviation of 2.58, and Coefficient Of Variation of 401.1 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.97, which means possible diversification benefits within a given portfolio. Evolve Cryptocurrencies returns are very sensitive to returns on the market. As the market goes up or down, Evolve Cryptocurrencies is expected to follow.
Auto-correlation | 0.59 |
Modest predictability
Evolve Cryptocurrencies ETF has modest predictability. Overlapping area represents the amount of predictability between Evolve Cryptocurrencies time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 2024. 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 0.59 indicates that roughly 59.0% of current Evolve Cryptocurrencies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.36 |
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
| 1.0 | BTCQ | 3iQ Bitcoin ETF | PairCorr |
| 1.0 | BTCC | Purpose Bitcoin CAD | PairCorr |
| 0.97 | ETHQ | 3iQ CoinShares Ether | PairCorr |
Moving against Evolve Etf
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.