Evolve Fangma Index Etf Market Value
| TECH Etf | CAD 20.84 0.05 0.24% |
| Symbol | Evolve |
Evolve FANGMA '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 FANGMA'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 Evolve FANGMA.
| 11/27/2025 |
| 12/27/2025 |
If you would invest 0.00 in Evolve FANGMA on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding Evolve FANGMA Index or generate 0.0% return on investment in Evolve FANGMA over 30 days. Evolve FANGMA is related to or competes with Guardian Directed, IShares Canadian, TD Equity, Hamilton Healthcare, RBC Quant, IShares India, and Hamilton Australian. TECH seeks to replicate, to the extent reasonably possible and before fees and expenses, the performance of the Solactiv... More
Evolve FANGMA 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 FANGMA'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 Evolve FANGMA Index upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 4.69 | |||
| Value At Risk | (1.79) | |||
| Potential Upside | 1.86 |
Evolve FANGMA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evolve FANGMA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evolve FANGMA's standard deviation. In reality, there are many statistical measures that can use Evolve FANGMA historical prices to predict the future Evolve FANGMA's volatility.| Risk Adjusted Performance | 7.0E-4 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.12) | |||
| Treynor Ratio | (0.03) |
Evolve FANGMA Index Backtested Returns
As of now, Evolve Etf is very steady. Evolve FANGMA Index secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the etf had a close to zero % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Evolve FANGMA Index, which you can use to evaluate the volatility of the entity. Please confirm Evolve FANGMA's Standard Deviation of 1.06, mean deviation of 0.7813, and Variance of 1.12 to check if the risk estimate we provide is consistent with the expected return of 0.0095%. The etf shows a Beta (market volatility) of 0.4, which means possible diversification benefits within a given portfolio. As returns on the market increase, Evolve FANGMA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Evolve FANGMA is expected to be smaller as well.
Auto-correlation | -0.96 |
Near perfect reversele predictability
Evolve FANGMA Index has near perfect reversele predictability. Overlapping area represents the amount of predictability between Evolve FANGMA time series from 27th of November 2025 to 12th of December 2025 and 12th of December 2025 to 27th of December 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 FANGMA Index price movement. The serial correlation of -0.96 indicates that 96.0% of current Evolve FANGMA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.96 | |
| Spearman Rank Test | -0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Evolve FANGMA Index lagged returns against current returns
Autocorrelation, which is Evolve FANGMA 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 FANGMA's etf expected returns. We can calculate the autocorrelation of Evolve FANGMA returns to help us make a trade decision. For example, suppose you find that Evolve FANGMA 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 FANGMA 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 FANGMA etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Evolve FANGMA etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Evolve FANGMA etf over time.
Current vs Lagged Prices |
| Timeline |
Evolve FANGMA Lagged Returns
When evaluating Evolve FANGMA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Evolve FANGMA etf have on its future price. Evolve FANGMA 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 FANGMA autocorrelation shows the relationship between Evolve FANGMA etf current value and its past values and can show if there is a momentum factor associated with investing in Evolve FANGMA Index.
Regressed Prices |
| Timeline |
Pair Trading with Evolve FANGMA
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 FANGMA 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 FANGMA will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Evolve FANGMA 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 FANGMA 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 FANGMA - 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 FANGMA Index to buy it.
The correlation of Evolve FANGMA 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 FANGMA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Evolve FANGMA Index 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 FANGMA 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 FANGMA 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 FANGMA security.