SSV Technical Analysis
| SSV Crypto | USD 2.88 0.01 0.35% |
As of the 5th of March, SSV has the risk adjusted performance of (0.02), and Variance of 41.34. Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SSV, as well as the relationship between them.
SSV Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SSV, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SSVSSV |
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.
| 12/05/2025 |
| 03/05/2026 |
If you would invest 0.00 in SSV on December 5, 2025 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 XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. 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 | (0.04) | |||
| Maximum Drawdown | 38.93 | |||
| Value At Risk | (7.55) | |||
| Potential Upside | 11.66 |
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 | (0.02) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 0.6155 |
SSV March 5, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.02) | |||
| Market Risk Adjusted Performance | 0.6255 | |||
| Mean Deviation | 4.55 | |||
| Coefficient Of Variation | (2,676) | |||
| Standard Deviation | 6.43 | |||
| Variance | 41.34 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 0.6155 | |||
| Maximum Drawdown | 38.93 | |||
| Value At Risk | (7.55) | |||
| Potential Upside | 11.66 | |||
| Skewness | 1.36 | |||
| Kurtosis | 4.01 |
SSV Backtested Returns
SSV owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0215, which indicates digital coin had a -0.0215 % return per unit of standard deviation over the last 3 months. SSV exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSV's variance of 41.34, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The entity has a beta of -0.41, 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 | -0.75 |
Almost perfect reverse predictability
SSV has almost perfect reverse predictability. Overlapping area represents the amount of predictability between SSV time series from 5th of December 2025 to 19th of January 2026 and 19th of January 2026 to 5th of March 2026. 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 -0.75 indicates that around 75.0% of current SSV price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.32 |
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.
SSV Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for SSV across different markets.
About SSV Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of SSV on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of SSV based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on SSV price pattern first instead of the macroeconomic environment surrounding SSV. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of SSV's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to SSV specific price patterns or momentum indicators.
SSV March 5, 2026 Technical Indicators
Most technical analysis of SSV help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for SSV from various momentum indicators to cycle indicators. When you analyze SSV charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.02) | |||
| Market Risk Adjusted Performance | 0.6255 | |||
| Mean Deviation | 4.55 | |||
| Coefficient Of Variation | (2,676) | |||
| Standard Deviation | 6.43 | |||
| Variance | 41.34 | |||
| Information Ratio | (0.04) | |||
| Jensen Alpha | (0.24) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 0.6155 | |||
| Maximum Drawdown | 38.93 | |||
| Value At Risk | (7.55) | |||
| Potential Upside | 11.66 | |||
| Skewness | 1.36 | |||
| Kurtosis | 4.01 |
SSV March 5, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as SSV stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 10.01 | ||
| Daily Balance Of Power | (1.00) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 2.89 | ||
| Day Typical Price | 2.88 | ||
| Price Action Indicator | (0.01) |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SSV. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in inflation. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.