Evolve Cyber Security Etf Technical Analysis
| CYBR Etf | CAD 49.95 0.04 0.08% |
As of the 18th of February 2026, Evolve Cyber shows the Variance of 3.2, mean deviation of 1.34, and Standard Deviation of 1.79. Evolve Cyber Security 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 Cyber 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 Cyber '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 Cyber'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 Cyber.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Evolve Cyber on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Evolve Cyber Security or generate 0.0% return on investment in Evolve Cyber over 90 days. Evolve Cyber is related to or competes with IShares SPTSX, IShares MSCI, Hamilton Energy, Hamilton Gold, AGFiQ Market, and First Asset. CYBR seeks to replicate, to the extent reasonably possible and before fees and expenses, the performance of the Solactiv... More
Evolve Cyber 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 Cyber'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 Cyber Security upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 6.83 | |||
| Value At Risk | (3.32) | |||
| Potential Upside | 2.39 |
Evolve Cyber Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Evolve Cyber's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Evolve Cyber's standard deviation. In reality, there are many statistical measures that can use Evolve Cyber historical prices to predict the future Evolve Cyber's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (1.29) |
Evolve Cyber February 18, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (1.28) | |||
| Mean Deviation | 1.34 | |||
| Coefficient Of Variation | (847.70) | |||
| Standard Deviation | 1.79 | |||
| Variance | 3.2 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (1.29) | |||
| Maximum Drawdown | 6.83 | |||
| Value At Risk | (3.32) | |||
| Potential Upside | 2.39 | |||
| Skewness | (0.05) | |||
| Kurtosis | 0.6275 |
Evolve Cyber Security Backtested Returns
Evolve Cyber Security secures Sharpe Ratio (or Efficiency) of -0.0438, which denotes the etf had a -0.0438 % return per unit of risk over the last 3 months. Evolve Cyber Security exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Evolve Cyber's Variance of 3.2, mean deviation of 1.34, and Standard Deviation of 1.79 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.17, which means not very significant fluctuations relative to the market. As returns on the market increase, Evolve Cyber's returns are expected to increase less than the market. However, during the bear market, the loss of holding Evolve Cyber is expected to be smaller as well.
Auto-correlation | 0.50 |
Modest predictability
Evolve Cyber Security has modest predictability. Overlapping area represents the amount of predictability between Evolve Cyber time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 Cyber Security price movement. The serial correlation of 0.5 indicates that about 50.0% of current Evolve Cyber price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.5 | |
| Spearman Rank Test | 0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 4.03 |
Evolve Cyber 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 Cyber Security Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Cyber Security volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Evolve Cyber 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 Cyber Security 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 Cyber Security based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Evolve Cyber Security price pattern first instead of the macroeconomic environment surrounding Evolve Cyber Security. By analyzing Evolve Cyber'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 Cyber'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 Cyber specific price patterns or momentum indicators. Please read more on our technical analysis page.
Evolve Cyber February 18, 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 | (0.09) | |||
| Market Risk Adjusted Performance | (1.28) | |||
| Mean Deviation | 1.34 | |||
| Coefficient Of Variation | (847.70) | |||
| Standard Deviation | 1.79 | |||
| Variance | 3.2 | |||
| Information Ratio | (0.14) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | (1.29) | |||
| Maximum Drawdown | 6.83 | |||
| Value At Risk | (3.32) | |||
| Potential Upside | 2.39 | |||
| Skewness | (0.05) | |||
| Kurtosis | 0.6275 |
Evolve Cyber February 18, 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 | 96.29 | ||
| Daily Balance Of Power | (0.03) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 49.36 | ||
| Day Typical Price | 49.56 | ||
| Price Action Indicator | 0.57 | ||
| Market Facilitation Index | 0.0003 |
Other Information on Investing in Evolve Etf
Evolve Cyber 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 Cyber security.