ELF Technical Analysis
| ELF Crypto | USD 0.08 0 1.55% |
As of the 1st of March, ELF shows the standard deviation of 4.15, and Mean Deviation of 2.73. ELF 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.
ELF Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ELF, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ELFELF |
ELF '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 ELF's crypto coin 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 ELF.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in ELF on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding ELF or generate 0.0% return on investment in ELF over 90 days. ELF is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. ELF is peer-to-peer digital currency powered by the Blockchain technology.
ELF 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 ELF's crypto coin 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 ELF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 26.74 | |||
| Value At Risk | (8.14) | |||
| Potential Upside | 4.49 |
ELF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ELF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ELF's standard deviation. In reality, there are many statistical measures that can use ELF historical prices to predict the future ELF's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (1.24) |
ELF March 1, 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 | (0.04) | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 2.73 | |||
| Coefficient Of Variation | (1,535) | |||
| Standard Deviation | 4.15 | |||
| Variance | 17.2 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 26.74 | |||
| Value At Risk | (8.14) | |||
| Potential Upside | 4.49 | |||
| Skewness | 0.8393 | |||
| Kurtosis | 4.88 |
ELF Backtested Returns
ELF secures Sharpe Ratio (or Efficiency) of -0.0549, which denotes digital coin had a -0.0549 % return per unit of return volatility over the last 3 months. ELF exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm ELF's mean deviation of 2.73, and Standard Deviation of 4.15 to check the risk estimate we provide. The crypto shows a Beta (market volatility) of 0.23, which means not very significant fluctuations relative to the market. As returns on the market increase, ELF's returns are expected to increase less than the market. However, during the bear market, the loss of holding ELF is expected to be smaller as well.
Auto-correlation | -0.29 |
Weak reverse predictability
ELF has weak reverse predictability. Overlapping area represents the amount of predictability between ELF time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 ELF price movement. The serial correlation of -0.29 indicates that nearly 29.0% of current ELF price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.29 | |
| Spearman Rank Test | -0.39 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
ELF technical crypto coin 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, crypto market cycles, or different charting patterns.
ELF Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for ELF across different markets.
About ELF 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 ELF 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 ELF based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on ELF price pattern first instead of the macroeconomic environment surrounding ELF. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of ELF's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to ELF specific price patterns or momentum indicators.
ELF March 1, 2026 Technical Indicators
Most technical analysis of ELF 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 ELF from various momentum indicators to cycle indicators. When you analyze ELF 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 | (0.04) | |||
| Market Risk Adjusted Performance | (1.23) | |||
| Mean Deviation | 2.73 | |||
| Coefficient Of Variation | (1,535) | |||
| Standard Deviation | 4.15 | |||
| Variance | 17.2 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.30) | |||
| Total Risk Alpha | (0.71) | |||
| Treynor Ratio | (1.24) | |||
| Maximum Drawdown | 26.74 | |||
| Value At Risk | (8.14) | |||
| Potential Upside | 4.49 | |||
| Skewness | 0.8393 | |||
| Kurtosis | 4.88 |
ELF March 1, 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 ELF 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 | 0.12 | ||
| Daily Balance Of Power | 0.11 | ||
| Rate Of Daily Change | 1.02 | ||
| Day Median Price | 0.08 | ||
| Day Typical Price | 0.08 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.01 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in ELF. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.