Evolve Banks Enhanced Etf Technical Analysis
| CALL Etf | CAD 14.77 0.19 1.30% |
As of the 4th of February, Evolve Banks shows the Mean Deviation of 0.8079, coefficient of variation of 414.0, and Downside Deviation of 1.04. Evolve Banks Enhanced technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Evolve Banks Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Evolve, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EvolveEvolve |
Evolve Banks '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 Banks' 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 Banks.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Evolve Banks on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Evolve Banks Enhanced or generate 0.0% return on investment in Evolve Banks over 90 days. Evolve Banks is related to or competes with CI Canada, IShares Canadian, First Asset, IShares Core, BMO SIA, IShares Conservative, and RBC Quant. CALL seeks to replicate, to the extent reasonably possible before fees and expenses, the performance of the Solactive Eq... More
Evolve Banks 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 Banks' 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 Banks Enhanced upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.1923 | |||
| Maximum Drawdown | 5.01 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 2.12 |
Evolve Banks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evolve Banks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evolve Banks' standard deviation. In reality, there are many statistical measures that can use Evolve Banks historical prices to predict the future Evolve Banks' volatility.| Risk Adjusted Performance | 0.1805 | |||
| Jensen Alpha | 0.2362 | |||
| Total Risk Alpha | 0.187 | |||
| Sortino Ratio | 0.1991 | |||
| Treynor Ratio | 0.7773 |
Evolve Banks February 4, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1805 | |||
| Market Risk Adjusted Performance | 0.7873 | |||
| Mean Deviation | 0.8079 | |||
| Semi Deviation | 0.724 | |||
| Downside Deviation | 1.04 | |||
| Coefficient Of Variation | 414.0 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.16 | |||
| Information Ratio | 0.1923 | |||
| Jensen Alpha | 0.2362 | |||
| Total Risk Alpha | 0.187 | |||
| Sortino Ratio | 0.1991 | |||
| Treynor Ratio | 0.7773 | |||
| Maximum Drawdown | 5.01 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 2.12 | |||
| Downside Variance | 1.08 | |||
| Semi Variance | 0.5242 | |||
| Expected Short fall | (0.92) | |||
| Skewness | (0.08) | |||
| Kurtosis | 0.7971 |
Evolve Banks Enhanced Backtested Returns
Evolve Banks appears to be very steady, given 3 months investment horizon. Evolve Banks Enhanced 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. We have found twenty-nine technical indicators for Evolve Banks Enhanced, which you can use to evaluate the volatility of the entity. Please utilize Evolve Banks' Downside Deviation of 1.04, coefficient of variation of 414.0, and Mean Deviation of 0.8079 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 0.32, which means possible diversification benefits within a given portfolio. As returns on the market increase, Evolve Banks' returns are expected to increase less than the market. However, during the bear market, the loss of holding Evolve Banks is expected to be smaller as well.
Auto-correlation | 0.13 |
Insignificant predictability
Evolve Banks Enhanced has insignificant predictability. Overlapping area represents the amount of predictability between Evolve Banks time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 Evolve Banks Enhanced price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Evolve Banks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Evolve Banks technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.
Evolve Banks Enhanced Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Evolve Banks Enhanced volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Evolve Banks Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Evolve Banks Enhanced on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Evolve Banks Enhanced based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Evolve Banks Enhanced price pattern first instead of the macroeconomic environment surrounding Evolve Banks Enhanced. By analyzing Evolve Banks's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Evolve Banks's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Evolve Banks specific price patterns or momentum indicators. Please read more on our technical analysis page.
Evolve Banks February 4, 2026 Technical Indicators
Most technical analysis of Evolve help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Evolve from various momentum indicators to cycle indicators. When you analyze Evolve charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1805 | |||
| Market Risk Adjusted Performance | 0.7873 | |||
| Mean Deviation | 0.8079 | |||
| Semi Deviation | 0.724 | |||
| Downside Deviation | 1.04 | |||
| Coefficient Of Variation | 414.0 | |||
| Standard Deviation | 1.08 | |||
| Variance | 1.16 | |||
| Information Ratio | 0.1923 | |||
| Jensen Alpha | 0.2362 | |||
| Total Risk Alpha | 0.187 | |||
| Sortino Ratio | 0.1991 | |||
| Treynor Ratio | 0.7773 | |||
| Maximum Drawdown | 5.01 | |||
| Value At Risk | (1.25) | |||
| Potential Upside | 2.12 | |||
| Downside Variance | 1.08 | |||
| Semi Variance | 0.5242 | |||
| Expected Short fall | (0.92) | |||
| Skewness | (0.08) | |||
| Kurtosis | 0.7971 |
Evolve Banks February 4, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Evolve stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 219.65 | ||
| Daily Balance Of Power | 0.70 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 14.72 | ||
| Day Typical Price | 14.73 | ||
| Price Action Indicator | 0.15 |
Other Information on Investing in Evolve Etf
Evolve Banks 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 Banks security.