Evolve Cryptocurrencies Etf Technical Analysis
| ETC Etf | 13.10 0.72 5.82% |
As of the 17th of February 2026, Evolve Cryptocurrencies shows the Variance of 14.12, mean deviation of 2.69, and Standard Deviation of 3.76. Evolve Cryptocurrencies 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 Cryptocurrencies 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 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.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Evolve Cryptocurrencies on November 19, 2025 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. 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.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 20.72 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 5.82 |
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 | (0.13) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.38) |
Evolve Cryptocurrencies February 17, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (0.37) | |||
| Mean Deviation | 2.69 | |||
| Coefficient Of Variation | (596.13) | |||
| Standard Deviation | 3.76 | |||
| Variance | 14.12 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.38) | |||
| Maximum Drawdown | 20.72 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 5.82 | |||
| Skewness | 0.2383 | |||
| Kurtosis | 2.49 |
Evolve Cryptocurrencies Backtested Returns
Evolve Cryptocurrencies secures Sharpe Ratio (or Efficiency) of -0.12, which denotes the etf had a -0.12 % return per unit of risk over the last 3 months. Evolve Cryptocurrencies ETF exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Evolve Cryptocurrencies' Variance of 14.12, mean deviation of 2.69, and Standard Deviation of 3.76 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.68, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Evolve Cryptocurrencies will likely underperform.
Auto-correlation | 0.51 |
Modest predictability
Evolve Cryptocurrencies ETF has modest predictability. Overlapping area represents the amount of predictability between Evolve Cryptocurrencies time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Cryptocurrencies price movement. The serial correlation of 0.51 indicates that about 51.0% of current Evolve Cryptocurrencies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 5.49 |
Evolve Cryptocurrencies 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 Cryptocurrencies Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Cryptocurrencies volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Evolve Cryptocurrencies 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 Cryptocurrencies ETF 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 Cryptocurrencies ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Evolve Cryptocurrencies price pattern first instead of the macroeconomic environment surrounding Evolve Cryptocurrencies. By analyzing Evolve Cryptocurrencies'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 Cryptocurrencies'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 Cryptocurrencies specific price patterns or momentum indicators. Please read more on our technical analysis page.
Evolve Cryptocurrencies February 17, 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 | (0.13) | |||
| Market Risk Adjusted Performance | (0.37) | |||
| Mean Deviation | 2.69 | |||
| Coefficient Of Variation | (596.13) | |||
| Standard Deviation | 3.76 | |||
| Variance | 14.12 | |||
| Information Ratio | (0.19) | |||
| Jensen Alpha | (0.74) | |||
| Total Risk Alpha | (0.92) | |||
| Treynor Ratio | (0.38) | |||
| Maximum Drawdown | 20.72 | |||
| Value At Risk | (6.49) | |||
| Potential Upside | 5.82 | |||
| Skewness | 0.2383 | |||
| Kurtosis | 2.49 |
Evolve Cryptocurrencies February 17, 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 | 0.05 | ||
| Daily Balance Of Power | 1.20 | ||
| Rate Of Daily Change | 1.06 | ||
| Day Median Price | 12.88 | ||
| Day Typical Price | 12.95 | ||
| Price Action Indicator | 0.58 | ||
| Market Facilitation Index | 0.60 |
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.