Sonic SVM Technical Analysis
| SONIC Crypto | USD 0.05 0.01 9.80% |
As of the 22nd of February, Sonic SVM has the Variance of 76.76, risk adjusted performance of (0.03), and Coefficient Of Variation of (1,870). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sonic SVM, as well as the relationship between them.
Sonic SVM Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sonic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SonicSonic |
Sonic SVM '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 Sonic SVM'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 Sonic SVM.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Sonic SVM on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Sonic SVM or generate 0.0% return on investment in Sonic SVM over 90 days. Sonic SVM is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. Sonic SVM is peer-to-peer digital currency powered by the Blockchain technology.
Sonic SVM 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 Sonic SVM'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 Sonic SVM upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 66.11 | |||
| Value At Risk | (12.29) | |||
| Potential Upside | 12.0 |
Sonic SVM Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sonic SVM's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sonic SVM's standard deviation. In reality, there are many statistical measures that can use Sonic SVM historical prices to predict the future Sonic SVM's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.63) | |||
| Total Risk Alpha | (1.29) | |||
| Treynor Ratio | (0.22) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Sonic SVM'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.
Sonic SVM February 22, 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 5.59 | |||
| Coefficient Of Variation | (1,870) | |||
| Standard Deviation | 8.76 | |||
| Variance | 76.76 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.63) | |||
| Total Risk Alpha | (1.29) | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 66.11 | |||
| Value At Risk | (12.29) | |||
| Potential Upside | 12.0 | |||
| Skewness | 1.64 | |||
| Kurtosis | 9.56 |
Sonic SVM Backtested Returns
Sonic SVM owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0629, which indicates digital coin had a -0.0629 % return per unit of risk over the last 3 months. Sonic SVM exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sonic SVM's Coefficient Of Variation of (1,870), variance of 76.76, and Risk Adjusted Performance of (0.03) to confirm the risk estimate we provide. The entity has a beta of 2.17, 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, Sonic SVM will likely underperform.
Auto-correlation | 0.66 |
Good predictability
Sonic SVM has good predictability. Overlapping area represents the amount of predictability between Sonic SVM time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd of February 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 Sonic SVM price movement. The serial correlation of 0.66 indicates that around 66.0% of current Sonic SVM price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Sonic SVM 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.
Sonic SVM Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Sonic SVM across different markets.
About Sonic SVM 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 Sonic SVM 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 Sonic SVM based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Sonic SVM price pattern first instead of the macroeconomic environment surrounding Sonic SVM. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Sonic SVM'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 Sonic SVM specific price patterns or momentum indicators.
Sonic SVM February 22, 2026 Technical Indicators
Most technical analysis of Sonic 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 Sonic from various momentum indicators to cycle indicators. When you analyze Sonic 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.21) | |||
| Mean Deviation | 5.59 | |||
| Coefficient Of Variation | (1,870) | |||
| Standard Deviation | 8.76 | |||
| Variance | 76.76 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.63) | |||
| Total Risk Alpha | (1.29) | |||
| Treynor Ratio | (0.22) | |||
| Maximum Drawdown | 66.11 | |||
| Value At Risk | (12.29) | |||
| Potential Upside | 12.0 | |||
| Skewness | 1.64 | |||
| Kurtosis | 9.56 |
Sonic SVM February 22, 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 Sonic 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 | 0.31 | ||
| Daily Balance Of Power | (0.25) | ||
| Rate Of Daily Change | 0.90 | ||
| Day Median Price | 0.06 | ||
| Day Typical Price | 0.06 | ||
| Price Action Indicator | (0.01) | ||
| Market Facilitation Index | 0.02 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Sonic SVM. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in services. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.