SNET Technical Analysis
| SNET Crypto | USD 0.0008 0.00007 9.14% |
As of the 25th of November, SNET has the variance of 81.93, and Risk Adjusted Performance of (0.03). 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 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 three with a total number of output elements of fifty-eight. 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 SNET volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SNET Trend Analysis
Use this graph to draw trend lines for SNET. You can use it to identify possible trend reversals for SNET as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual SNET price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SNET Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SNET applied against its price change over selected period. The best fit line has a slop of 0 , which may suggest that SNET market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted SNET price change compared to its average price change.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 November 25, 2024 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 | (0.03) | |||
| Market Risk Adjusted Performance | 0.395 | |||
| Mean Deviation | 5.91 | |||
| Coefficient Of Variation | (1,870) | |||
| Standard Deviation | 9.05 | |||
| Variance | 81.93 | |||
| Information Ratio | (0.07) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (1.92) | |||
| Treynor Ratio | 0.385 | |||
| Maximum Drawdown | 67.9 | |||
| Value At Risk | (11.09) | |||
| Potential Upside | 9.52 | |||
| Skewness | 0.549 | |||
| Kurtosis | 6.39 |
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 board of governors. You can also try the Content Syndication module to quickly integrate customizable finance content to your own investment portal.