SNGLS Technical Analysis
| SNGLS Crypto | USD 0.000059 0.000003 4.84% |
As of the 30th of January, SNGLS has the risk adjusted performance of (0.07), and Variance of 5.77. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SNGLS, as well as the relationship between them.
SNGLS Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SNGLS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SNGLSSNGLS |
SNGLS '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 SNGLS'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 SNGLS.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in SNGLS on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding SNGLS or generate 0.0% return on investment in SNGLS over 90 days. SNGLS is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. SNGLS is peer-to-peer digital currency powered by the Blockchain technology.
SNGLS 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 SNGLS'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 SNGLS upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (4.69) | |||
| Potential Upside | 3.39 |
SNGLS Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SNGLS's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SNGLS's standard deviation. In reality, there are many statistical measures that can use SNGLS historical prices to predict the future SNGLS's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | 4.32 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SNGLS'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.
SNGLS January 30, 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 | (0.07) | |||
| Market Risk Adjusted Performance | 4.33 | |||
| Mean Deviation | 1.71 | |||
| Coefficient Of Variation | (922.44) | |||
| Standard Deviation | 2.4 | |||
| Variance | 5.77 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | 4.32 | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (4.69) | |||
| Potential Upside | 3.39 | |||
| Skewness | (0.09) | |||
| Kurtosis | 1.4 |
SNGLS Backtested Returns
SNGLS owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.11, which indicates digital coin had a -0.11 % return per unit of volatility over the last 3 months. SNGLS exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SNGLS's variance of 5.77, and Risk Adjusted Performance of (0.07) to confirm the risk estimate we provide. The entity has a beta of -0.0626, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SNGLS are expected to decrease at a much lower rate. During the bear market, SNGLS is likely to outperform the market.
Auto-correlation | -0.36 |
Poor reverse predictability
SNGLS has poor reverse predictability. Overlapping area represents the amount of predictability between SNGLS time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 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 SNGLS price movement. The serial correlation of -0.36 indicates that just about 36.0% of current SNGLS price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SNGLS 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.
SNGLS Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of SNGLS volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SNGLS 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 SNGLS 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 SNGLS based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on SNGLS price pattern first instead of the macroeconomic environment surrounding SNGLS. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of SNGLS'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 SNGLS specific price patterns or momentum indicators.
SNGLS January 30, 2026 Technical Indicators
Most technical analysis of SNGLS 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 SNGLS from various momentum indicators to cycle indicators. When you analyze SNGLS 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 | (0.07) | |||
| Market Risk Adjusted Performance | 4.33 | |||
| Mean Deviation | 1.71 | |||
| Coefficient Of Variation | (922.44) | |||
| Standard Deviation | 2.4 | |||
| Variance | 5.77 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.44) | |||
| Treynor Ratio | 4.32 | |||
| Maximum Drawdown | 13.81 | |||
| Value At Risk | (4.69) | |||
| Potential Upside | 3.39 | |||
| Skewness | (0.09) | |||
| Kurtosis | 1.4 |
SNGLS January 30, 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 SNGLS 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.95 | ||
| 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 SNGLS. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in real. You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.