Ssvnetwork Market Value
| SSV Crypto | USD 29.24 0.37 1.28% |
| Symbol | Ssvnetwork |
Ssvnetwork '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 Ssvnetwork'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 Ssvnetwork.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Ssvnetwork on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding ssvnetwork or generate 0.0% return on investment in Ssvnetwork over 30 days. Ssvnetwork is related to or competes with Staked Ether, EigenLayer, BLZ, Highstreet, Tokocrypto, and DIA. ssv.network is peer-to-peer digital currency powered by the Blockchain technology.
Ssvnetwork 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 Ssvnetwork'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 ssvnetwork upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.37 | |||
| Information Ratio | 0.0641 | |||
| Maximum Drawdown | 29.47 | |||
| Value At Risk | (9.22) | |||
| Potential Upside | 11.01 |
Ssvnetwork Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ssvnetwork's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ssvnetwork's standard deviation. In reality, there are many statistical measures that can use Ssvnetwork historical prices to predict the future Ssvnetwork's volatility.| Risk Adjusted Performance | 0.0741 | |||
| Jensen Alpha | 0.2684 | |||
| Total Risk Alpha | (0.45) | |||
| Sortino Ratio | 0.0727 | |||
| Treynor Ratio | 0.2536 |
ssvnetwork Backtested Returns
Ssvnetwork appears to be unusually volatile, given 3 months investment horizon. ssvnetwork owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates digital coin had a 0.13% return per unit of risk over the last 3 months. By inspecting Ssvnetwork's technical indicators, you can evaluate if the expected return of 0.84% is justified by implied risk. Please review Ssvnetwork's Coefficient Of Variation of 1169.41, risk adjusted performance of 0.0741, and Semi Deviation of 5.15 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 2.02, which indicates 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, Ssvnetwork will likely underperform.
Auto-correlation | 0.37 |
Below average predictability
ssvnetwork has below average predictability. Overlapping area represents the amount of predictability between Ssvnetwork time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 ssvnetwork price movement. The serial correlation of 0.37 indicates that just about 37.0% of current Ssvnetwork price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.37 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 16.71 |
ssvnetwork lagged returns against current returns
Autocorrelation, which is Ssvnetwork 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 Ssvnetwork's crypto coin expected returns. We can calculate the autocorrelation of Ssvnetwork returns to help us make a trade decision. For example, suppose you find that Ssvnetwork 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 |
Ssvnetwork 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 Ssvnetwork crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ssvnetwork crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ssvnetwork crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Ssvnetwork Lagged Returns
When evaluating Ssvnetwork's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ssvnetwork crypto coin have on its future price. Ssvnetwork 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, Ssvnetwork autocorrelation shows the relationship between Ssvnetwork crypto coin current value and its past values and can show if there is a momentum factor associated with investing in ssvnetwork.
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 ssvnetwork offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Ssvnetwork'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 Ssvnetwork Crypto.Check out Ssvnetwork Correlation, Ssvnetwork Volatility and Investing Opportunities module to complement your research on Ssvnetwork. You can also try the Stocks Directory module to find actively traded stocks across global markets.
Ssvnetwork 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.