SPDR SP (Switzerland) Technical Analysis
| SXLK Etf | USD 124.04 0.34 0.27% |
As of the 27th of December, SPDR SP has the coefficient of variation of 1035.97, and Risk Adjusted Performance of 0.0789. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SPDR SP Technology, as well as the relationship between them. Please validate SPDR SP Technology downside deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance to decide if SPDR SP is priced adequately, providing market reflects its prevalent price of 124.04 per share.
SPDR SP Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SPDR, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SPDRSPDR |
SPDR SP 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.
SPDR SP Technology Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 SPDR SP Technology volatility. High ATR values indicate high volatility, and low values indicate low volatility.
SPDR SP Technology Trend Analysis
Use this graph to draw trend lines for SPDR SP Technology. You can use it to identify possible trend reversals for SPDR SP 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 SPDR SP price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.SPDR SP Best Fit Change Line
The following chart estimates an ordinary least squares regression model for SPDR SP Technology applied against its price change over selected period. The best fit line has a slop of 0.13 , which means SPDR SP Technology will continue generating value for investors. It has 122 observation points and a regression sum of squares at 631.88, which is the sum of squared deviations for the predicted SPDR SP price change compared to its average price change.About SPDR SP 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 SPDR SP Technology 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 SPDR SP Technology based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SPDR SP Technology price pattern first instead of the macroeconomic environment surrounding SPDR SP Technology. By analyzing SPDR SP'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 SPDR SP'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 SPDR SP specific price patterns or momentum indicators. Please read more on our technical analysis page.
SPDR SP December 27, 2024 Technical Indicators
Most technical analysis of SPDR 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 SPDR from various momentum indicators to cycle indicators. When you analyze SPDR 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 | 0.0789 | |||
| Market Risk Adjusted Performance | 1.15 | |||
| Mean Deviation | 0.6947 | |||
| Semi Deviation | 1.15 | |||
| Downside Deviation | 1.29 | |||
| Coefficient Of Variation | 1035.97 | |||
| Standard Deviation | 1.03 | |||
| Variance | 1.05 | |||
| Information Ratio | 0.0446 | |||
| Jensen Alpha | 0.0856 | |||
| Total Risk Alpha | 0.0331 | |||
| Sortino Ratio | 0.0355 | |||
| Treynor Ratio | 1.14 | |||
| Maximum Drawdown | 6.54 | |||
| Value At Risk | (1.40) | |||
| Potential Upside | 1.58 | |||
| Downside Variance | 1.66 | |||
| Semi Variance | 1.32 | |||
| Expected Short fall | (0.67) | |||
| Skewness | (1.46) | |||
| Kurtosis | 5.27 |
Other Information on Investing in SPDR Etf
SPDR SP financial ratios help investors to determine whether SPDR 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 SPDR with respect to the benefits of owning SPDR SP security.