SUPERC Technical Analysis
| SUPERC Crypto | USD 0 0.00 0.00% |
As of the 25th of November, SUPERC has the variance of 12.31, and Risk Adjusted Performance of (0.06). Compared to fundamental indicators, the technical analysis model makes it possible for you to check available technical drivers of SUPERC, as well as the relationship between them.
SUPERC Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SUPERC, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SUPERCSUPERC |
SUPERC 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.
SUPERC Technical Analysis
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SUPERC Trend Analysis
Use this graph to draw trend lines for SUPERC. You can use it to identify possible trend reversals for SUPERC 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 SUPERC price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SUPERC Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SUPERC applied against its price change over selected period. The best fit line has a slop of 0 , which may suggest that SUPERC 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 SUPERC price change compared to its average price change.About SUPERC 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 SUPERC 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 SUPERC based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on SUPERC price pattern first instead of the macroeconomic environment surrounding SUPERC. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of SUPERC'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 SUPERC specific price patterns or momentum indicators.
SUPERC November 25, 2024 Technical Indicators
Most technical analysis of SUPERC 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 SUPERC from various momentum indicators to cycle indicators. When you analyze SUPERC 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 | (0.06) | |||
| Market Risk Adjusted Performance | (0.25) | |||
| Mean Deviation | 1.03 | |||
| Coefficient Of Variation | (1,072) | |||
| Standard Deviation | 3.51 | |||
| Variance | 12.31 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | (0.49) | |||
| Total Risk Alpha | (0.89) | |||
| Treynor Ratio | (0.26) | |||
| Maximum Drawdown | 25.69 | |||
| Skewness | (3.50) | |||
| Kurtosis | 26.84 |
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.