SNET Technical Analysis
| SNET Crypto | USD 0 0.000044 3.03% |
As of the 25th of February, SNET has the risk adjusted performance of 0.1149, and Coefficient Of Variation of 728.99. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SNET, as well as the relationship between them.
SNET Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SNET, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SNETSNET |
SNET '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 SNET'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 SNET.
| 11/27/2025 |
| 02/25/2026 |
If you would invest 0.00 in SNET on November 27, 2025 and sell it all today you would earn a total of 0.00 from holding SNET or generate 0.0% return on investment in SNET over 90 days. SNET is related to or competes with XRP, Solana, Hyperliquid, TRON, Staked Ether, WhiteBIT Token, and World Liberty. SNET is peer-to-peer digital currency powered by the Blockchain technology.
SNET 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 SNET'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 SNET upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 22.22 | |||
| Information Ratio | 0.1319 | |||
| Maximum Drawdown | 94.26 | |||
| Value At Risk | (17.13) | |||
| Potential Upside | 19.74 |
SNET Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SNET's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SNET's standard deviation. In reality, there are many statistical measures that can use SNET historical prices to predict the future SNET's volatility.| Risk Adjusted Performance | 0.1149 | |||
| Jensen Alpha | 2.88 | |||
| Total Risk Alpha | 0.347 | |||
| Sortino Ratio | 0.114 | |||
| Treynor Ratio | (0.94) |
SNET February 25, 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 | 0.1149 | |||
| Market Risk Adjusted Performance | (0.93) | |||
| Mean Deviation | 10.45 | |||
| Semi Deviation | 18.36 | |||
| Downside Deviation | 22.22 | |||
| Coefficient Of Variation | 728.99 | |||
| Standard Deviation | 19.19 | |||
| Variance | 368.43 | |||
| Information Ratio | 0.1319 | |||
| Jensen Alpha | 2.88 | |||
| Total Risk Alpha | 0.347 | |||
| Sortino Ratio | 0.114 | |||
| Treynor Ratio | (0.94) | |||
| Maximum Drawdown | 94.26 | |||
| Value At Risk | (17.13) | |||
| Potential Upside | 19.74 | |||
| Downside Variance | 493.56 | |||
| Semi Variance | 336.97 | |||
| Expected Short fall | (10.73) | |||
| Skewness | (0.20) | |||
| Kurtosis | 8.82 |
SNET Backtested Returns
SNET is abnormally risky given 3 months investment horizon. SNET owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates digital coin had a 0.14 % return per unit of volatility over the last 3 months. We were able to break down twenty-nine different technical indicators, which can help you to evaluate if expected returns of 2.69% are justified by taking the suggested risk. Use SNET risk adjusted performance of 0.1149, and Coefficient Of Variation of 728.99 to evaluate coin specific risk that cannot be diversified away. The entity has a beta of -2.79, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning SNET are expected to decrease by larger amounts. On the other hand, during market turmoil, SNET is expected to outperform it.
Auto-correlation | 0.13 |
Insignificant predictability
SNET has insignificant predictability. Overlapping area represents the amount of predictability between SNET time series from 27th of November 2025 to 11th of January 2026 and 11th of January 2026 to 25th 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 SNET price movement. The serial correlation of 0.13 indicates that less than 13.0% of current SNET price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SNET 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.
SNET Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for SNET across different markets.
About SNET 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 SNET 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 SNET based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on SNET price pattern first instead of the macroeconomic environment surrounding SNET. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of SNET'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 SNET specific price patterns or momentum indicators.
SNET February 25, 2026 Technical Indicators
Most technical analysis of SNET 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 SNET from various momentum indicators to cycle indicators. When you analyze SNET 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 | 0.1149 | |||
| Market Risk Adjusted Performance | (0.93) | |||
| Mean Deviation | 10.45 | |||
| Semi Deviation | 18.36 | |||
| Downside Deviation | 22.22 | |||
| Coefficient Of Variation | 728.99 | |||
| Standard Deviation | 19.19 | |||
| Variance | 368.43 | |||
| Information Ratio | 0.1319 | |||
| Jensen Alpha | 2.88 | |||
| Total Risk Alpha | 0.347 | |||
| Sortino Ratio | 0.114 | |||
| Treynor Ratio | (0.94) | |||
| Maximum Drawdown | 94.26 | |||
| Value At Risk | (17.13) | |||
| Potential Upside | 19.74 | |||
| Downside Variance | 493.56 | |||
| Semi Variance | 336.97 | |||
| Expected Short fall | (10.73) | |||
| Skewness | (0.20) | |||
| Kurtosis | 8.82 |
SNET February 25, 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 SNET 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 | 332.53 | ||
| Daily Balance Of Power | (14.67) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Check out World Market Map to better understand how to build diversified portfolios, which includes a position in SNET. 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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.