ETFS Ultra (Australia) Technical Analysis
| SNAS Etf | 24.29 0.22 0.90% |
As of the 2nd of December, ETFS Ultra shows the mean deviation of 58.42, and Coefficient Of Variation of 820.04. Our technical analysis interface provides you with a way to check helpful technical drivers of ETFS Ultra Short, as well as the relationship between them.
ETFS Ultra Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ETFS, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ETFSETFS |
ETFS Ultra technical etf 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, etf market cycles, or different charting patterns.
ETFS Ultra Short Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 ETFS Ultra Short volatility. High ATR values indicate high volatility, and low values indicate low volatility.
ETFS Ultra Short Trend Analysis
Use this graph to draw trend lines for ETFS Ultra Short. You can use it to identify possible trend reversals for ETFS Ultra 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 ETFS Ultra price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.ETFS Ultra Best Fit Change Line
The following chart estimates an ordinary least squares regression model for ETFS Ultra Short applied against its price change over selected period. The best fit line has a slop of 0.33 , which means ETFS Ultra Short will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4224.53, which is the sum of squared deviations for the predicted ETFS Ultra price change compared to its average price change.About ETFS Ultra 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 ETFS Ultra Short 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 ETFS Ultra Short based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on ETFS Ultra Short price pattern first instead of the macroeconomic environment surrounding ETFS Ultra Short. By analyzing ETFS Ultra's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of ETFS Ultra's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to ETFS Ultra specific price patterns or momentum indicators. Please read more on our technical analysis page.
ETFS Ultra December 2, 2024 Technical Indicators
Most technical analysis of ETFS 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 ETFS from various momentum indicators to cycle indicators. When you analyze ETFS 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 | 0.1032 | |||
| Market Risk Adjusted Performance | (0.65) | |||
| Mean Deviation | 58.42 | |||
| Downside Deviation | 2.56 | |||
| Coefficient Of Variation | 820.04 | |||
| Standard Deviation | 240.98 | |||
| Variance | 58072.75 | |||
| Information Ratio | 0.1214 | |||
| Jensen Alpha | 35.07 | |||
| Total Risk Alpha | (10.85) | |||
| Sortino Ratio | 11.41 | |||
| Treynor Ratio | (0.66) | |||
| Maximum Drawdown | 1959.36 | |||
| Value At Risk | (3.79) | |||
| Potential Upside | 3.97 | |||
| Downside Variance | 6.58 | |||
| Semi Variance | (23.60) | |||
| Expected Short fall | (80.34) | |||
| Skewness | 8.12 | |||
| Kurtosis | 65.99 |
Other Information on Investing in ETFS Etf
ETFS Ultra financial ratios help investors to determine whether ETFS Etf is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in ETFS with respect to the benefits of owning ETFS Ultra security.