Aelf Market Value
| ELF Crypto | USD 0.22 0.01 4.35% |
| Symbol | Aelf |
Aelf '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 Aelf'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 Aelf.
| 06/26/2025 |
| 07/26/2025 |
If you would invest 0.00 in Aelf on June 26, 2025 and sell it all today you would earn a total of 0.00 from holding aelf or generate 0.0% return on investment in Aelf over 30 days. Aelf is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. aelf is peer-to-peer digital currency powered by the Blockchain technology.
Aelf 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 Aelf'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 aelf upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 17.8 | |||
| Value At Risk | (5.00) | |||
| Potential Upside | 5.26 |
Aelf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Aelf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Aelf's standard deviation. In reality, there are many statistical measures that can use Aelf historical prices to predict the future Aelf's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.98) | |||
| Treynor Ratio | (0.49) |
aelf Backtested Returns
aelf secures Sharpe Ratio (or Efficiency) of close to zero, which signifies that digital coin had a close to zero % return per unit of risk over the last 3 months. aelf exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Aelf's Standard Deviation of 3.48, risk adjusted performance of (0.01), and Coefficient Of Variation of (4,766) to double-check the risk estimate we provide. The crypto shows a Beta (market volatility) of 0.17, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Aelf's returns are expected to increase less than the market. However, during the bear market, the loss of holding Aelf is expected to be smaller as well.
Auto-correlation | -0.03 |
Very weak reverse predictability
aelf has very weak reverse predictability. Overlapping area represents the amount of predictability between Aelf time series from 26th of June 2025 to 11th of July 2025 and 11th of July 2025 to 26th of July 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 aelf price movement. The serial correlation of -0.03 indicates that only 3.0% of current Aelf price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | 0.76 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
aelf lagged returns against current returns
Autocorrelation, which is Aelf crypto coin'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 Aelf's crypto coin expected returns. We can calculate the autocorrelation of Aelf returns to help us make a trade decision. For example, suppose you find that Aelf has exhibited high autocorrelation historically, and you observe that the crypto coin 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 |
Aelf 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 Aelf crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Aelf crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Aelf crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Aelf Lagged Returns
When evaluating Aelf's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Aelf crypto coin have on its future price. Aelf 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, Aelf autocorrelation shows the relationship between Aelf crypto coin current value and its past values and can show if there is a momentum factor associated with investing in aelf.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.When determining whether aelf offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Aelf's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Aelf Crypto.Check out Aelf Correlation, Aelf Volatility and Investing Opportunities module to complement your research on Aelf. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Aelf 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.