ESS Market Value
ESS Crypto | USD 0.0003 0.000007 2.78% |
Symbol | ESS |
ESS '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 ESS'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 ESS.
06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in ESS on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding ESS or generate 0.0% return on investment in ESS over 180 days. ESS is related to or competes with XRP, Solana, Staked Ether, Sui, Toncoin, Worldcoin, and Stellar. ESS is peer-to-peer digital currency powered by the Blockchain technology.
ESS 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 ESS'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 ESS upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 8.09 | |||
Information Ratio | 0.0945 | |||
Maximum Drawdown | 51.97 | |||
Value At Risk | (14.14) | |||
Potential Upside | 27.27 |
ESS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ESS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ESS's standard deviation. In reality, there are many statistical measures that can use ESS historical prices to predict the future ESS's volatility.Risk Adjusted Performance | 0.0922 | |||
Jensen Alpha | 0.7235 | |||
Total Risk Alpha | (0.59) | |||
Sortino Ratio | 0.1151 | |||
Treynor Ratio | 0.4033 |
ESS Backtested Returns
ESS is abnormally risky given 3 months investment horizon. ESS secures Sharpe Ratio (or Efficiency) of 0.11, which denotes digital coin had a 0.11% return per unit of volatility over the last 3 months. We are able to interpolate and collect twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.1% are justified by taking the suggested risk. Use ESS Downside Deviation of 8.09, mean deviation of 6.17, and Market Risk Adjusted Performance of 0.4133 to evaluate coin specific risk that cannot be diversified away. The crypto shows a Beta (market volatility) of 2.62, 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, ESS will likely underperform.
Auto-correlation | -0.64 |
Very good reverse predictability
ESS has very good reverse predictability. Overlapping area represents the amount of predictability between ESS 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 ESS price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current ESS price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.64 | |
Spearman Rank Test | -0.51 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
ESS lagged returns against current returns
Autocorrelation, which is ESS 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 ESS's crypto coin expected returns. We can calculate the autocorrelation of ESS returns to help us make a trade decision. For example, suppose you find that ESS 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 |
ESS 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 ESS crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ESS crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ESS crypto coin over time.
Current vs Lagged Prices |
Timeline |
ESS Lagged Returns
When evaluating ESS's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ESS crypto coin have on its future price. ESS 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, ESS autocorrelation shows the relationship between ESS crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ESS.
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 ESS offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of ESS'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 Ess Crypto.Check out ESS Correlation, ESS Volatility and Investing Opportunities module to complement your research on ESS. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
ESS 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.