Echelon Prime Market Value
| PRIME Crypto | USD 14.35 2.76 23.81% |
| Symbol | Echelon |
Echelon Prime '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 Echelon Prime'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 Echelon Prime.
| 06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Echelon Prime on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Echelon Prime or generate 0.0% return on investment in Echelon Prime over 180 days. Echelon Prime is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. Echelon Prime is peer-to-peer digital currency powered by the Blockchain technology.
Echelon Prime 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 Echelon Prime'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 Echelon Prime upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.32 | |||
| Information Ratio | 0.1028 | |||
| Maximum Drawdown | 47.55 | |||
| Value At Risk | (8.83) | |||
| Potential Upside | 14.93 |
Echelon Prime Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Echelon Prime's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Echelon Prime's standard deviation. In reality, there are many statistical measures that can use Echelon Prime historical prices to predict the future Echelon Prime's volatility.| Risk Adjusted Performance | 0.0993 | |||
| Jensen Alpha | 1.01 | |||
| Total Risk Alpha | (0.46) | |||
| Sortino Ratio | 0.1758 | |||
| Treynor Ratio | 2.67 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Echelon Prime's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Echelon Prime Backtested Returns
Echelon Prime is abnormally risky given 3 months investment horizon. Echelon Prime secures Sharpe Ratio (or Efficiency) of 0.13, which denotes digital coin had a 0.13% return per unit of risk over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.18% are justified by taking the suggested risk. Use Echelon Prime Mean Deviation of 6.53, downside deviation of 5.32, and Coefficient Of Variation of 848.4 to evaluate coin specific risk that cannot be diversified away. The crypto shows a Beta (market volatility) of 0.4, which means possible diversification benefits within a given portfolio. As returns on the market increase, Echelon Prime's returns are expected to increase less than the market. However, during the bear market, the loss of holding Echelon Prime is expected to be smaller as well.
Auto-correlation | -0.27 |
Weak reverse predictability
Echelon Prime has weak reverse predictability. Overlapping area represents the amount of predictability between Echelon Prime time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Echelon Prime price movement. The serial correlation of -0.27 indicates that nearly 27.0% of current Echelon Prime price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 2.56 |
Echelon Prime lagged returns against current returns
Autocorrelation, which is Echelon Prime 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 Echelon Prime's crypto coin expected returns. We can calculate the autocorrelation of Echelon Prime returns to help us make a trade decision. For example, suppose you find that Echelon Prime 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 |
Echelon Prime 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 Echelon Prime crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Echelon Prime crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Echelon Prime crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Echelon Prime Lagged Returns
When evaluating Echelon Prime's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Echelon Prime crypto coin have on its future price. Echelon Prime 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, Echelon Prime autocorrelation shows the relationship between Echelon Prime crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Echelon Prime.
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 Echelon Prime offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Echelon Prime'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 Echelon Prime Crypto.Check out Echelon Prime Correlation, Echelon Prime Volatility and Investing Opportunities module to complement your research on Echelon Prime. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Echelon Prime 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.