EM Market Value
| EM Crypto | USD 0.00008 0.00 0.00% |
| Symbol | EM |
EM '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 EM'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 EM.
| 12/21/2024 |
| 01/20/2025 |
If you would invest 0.00 in EM on December 21, 2024 and sell it all today you would earn a total of 0.00 from holding EM or generate 0.0% return on investment in EM over 30 days. EM is related to or competes with Staked Ether, Phala Network, EigenLayer, DIA, and THENA. EM is peer-to-peer digital currency powered by the Blockchain technology.
EM 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 EM'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 EM upside and downside potential and time the market with a certain degree of confidence.
EM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for EM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as EM's standard deviation. In reality, there are many statistical measures that can use EM historical prices to predict the future EM's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of EM'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.
EM Backtested Returns
We have found three technical indicators for EM, which you can use to evaluate the volatility of coin. The crypto shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and EM are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
EM has perfect predictability. Overlapping area represents the amount of predictability between EM time series from 21st of December 2024 to 5th of January 2025 and 5th of January 2025 to 20th of January 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 EM price movement. The serial correlation of 1.0 indicates that 100.0% of current EM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
EM lagged returns against current returns
Autocorrelation, which is EM 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 EM's crypto coin expected returns. We can calculate the autocorrelation of EM returns to help us make a trade decision. For example, suppose you find that EM 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 |
EM 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 EM crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if EM crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in EM crypto coin over time.
Current vs Lagged Prices |
| Timeline |
EM Lagged Returns
When evaluating EM's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of EM crypto coin have on its future price. EM 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, EM autocorrelation shows the relationship between EM crypto coin current value and its past values and can show if there is a momentum factor associated with investing in EM.
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 EM offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of EM'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 Em Crypto.Check out EM Correlation, EM Volatility and Investing Opportunities module to complement your research on EM. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
EM 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.