SSV Market Value
| SSV Crypto | USD 7.38 0.36 4.65% |
| Symbol | SSV |
SSV '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 SSV'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 SSV.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in SSV on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding SSV or generate 0.0% return on investment in SSV over 90 days. SSV is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. SSV is peer-to-peer digital currency powered by the Blockchain technology.
SSV 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 SSV'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 SSV upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 48.47 | |||
| Value At Risk | (13.57) | |||
| Potential Upside | 6.99 |
SSV Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSV's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSV's standard deviation. In reality, there are many statistical measures that can use SSV historical prices to predict the future SSV's volatility.| Risk Adjusted Performance | (0.20) | |||
| Jensen Alpha | (1.82) | |||
| Total Risk Alpha | (0.84) | |||
| Treynor Ratio | 3.87 |
SSV Backtested Returns
SSV owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.22, which indicates digital coin had a -0.22 % return per unit of standard deviation over the last 3 months. SSV exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSV's variance of 55.47, and Risk Adjusted Performance of (0.20) to confirm the risk estimate we provide. The entity has a beta of -0.46, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning SSV are expected to decrease at a much lower rate. During the bear market, SSV is likely to outperform the market.
Auto-correlation | 0.71 |
Good predictability
SSV has good predictability. Overlapping area represents the amount of predictability between SSV time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 SSV price movement. The serial correlation of 0.71 indicates that around 71.0% of current SSV price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.71 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 6.61 |
SSV lagged returns against current returns
Autocorrelation, which is SSV 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 SSV's crypto coin expected returns. We can calculate the autocorrelation of SSV returns to help us make a trade decision. For example, suppose you find that SSV 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 |
SSV 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 SSV crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SSV crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SSV crypto coin over time.
Current vs Lagged Prices |
| Timeline |
SSV Lagged Returns
When evaluating SSV's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SSV crypto coin have on its future price. SSV 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, SSV autocorrelation shows the relationship between SSV crypto coin current value and its past values and can show if there is a momentum factor associated with investing in SSV.
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 SSV offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SSV'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 Ssv Crypto.Check out SSV Correlation, SSV Volatility and Investing Opportunities module to complement your research on SSV. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
SSV 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.