SPDR Bloomberg (Switzerland) Technical Analysis
| USCR Etf | 30.42 0.01 0.03% |
As of the 8th of February, SPDR Bloomberg has the risk adjusted performance of (0.06), and Variance of 0.0235. In connection with fundamental indicators, the technical analysis model makes it possible for you to check practical technical drivers of SPDR Bloomberg SASB, as well as the relationship between them. Please validate SPDR Bloomberg SASB standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if SPDR Bloomberg is priced adequately, providing market reflects its prevalent price of 30.42 per share.
SPDR Bloomberg 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 Bloomberg '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 SPDR Bloomberg's etf 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 SPDR Bloomberg.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in SPDR Bloomberg on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg SASB or generate 0.0% return on investment in SPDR Bloomberg over 90 days. SPDR Bloomberg is related to or competes with Xtrackers DAX, UBS ETF, UBS ETF, HSBC MSCI, and HSBC MSCI. SPDR Bloomberg is entity of Switzerland. It is traded as Etf on SW exchange. More
SPDR Bloomberg 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 SPDR Bloomberg's etf 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 SPDR Bloomberg SASB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.61) | |||
| Maximum Drawdown | 0.8252 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.232 |
SPDR Bloomberg Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SPDR Bloomberg's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SPDR Bloomberg's standard deviation. In reality, there are many statistical measures that can use SPDR Bloomberg historical prices to predict the future SPDR Bloomberg's volatility.| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (1.69) |
SPDR Bloomberg February 8, 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 | (0.06) | |||
| Market Risk Adjusted Performance | (1.68) | |||
| Mean Deviation | 0.091 | |||
| Coefficient Of Variation | (3,970) | |||
| Standard Deviation | 0.1534 | |||
| Variance | 0.0235 | |||
| Information Ratio | (0.61) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (1.69) | |||
| Maximum Drawdown | 0.8252 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.232 | |||
| Skewness | (0.42) | |||
| Kurtosis | 1.73 |
SPDR Bloomberg SASB Backtested Returns
At this stage we consider SPDR Etf to be very steady. SPDR Bloomberg SASB owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the etf had a 0.1 % return per unit of volatility over the last 3 months. We have found twenty-one technical indicators for SPDR Bloomberg SASB, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's variance of 0.0235, and Risk Adjusted Performance of (0.06) to confirm if the risk estimate we provide is consistent with the expected return of 0.0141%. The entity has a beta of 0.0082, which indicates not very significant fluctuations relative to the market. As returns on the market increase, SPDR Bloomberg's returns are expected to increase less than the market. However, during the bear market, the loss of holding SPDR Bloomberg is expected to be smaller as well.
Auto-correlation | -0.01 |
Very weak reverse predictability
SPDR Bloomberg SASB has very weak reverse predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th of February 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 SPDR Bloomberg SASB price movement. The serial correlation of -0.01 indicates that just 1.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.01 | |
| Spearman Rank Test | 0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
SPDR Bloomberg 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 Bloomberg SASB 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 Bloomberg SASB volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SPDR Bloomberg 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 Bloomberg SASB 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 Bloomberg SASB based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SPDR Bloomberg SASB price pattern first instead of the macroeconomic environment surrounding SPDR Bloomberg SASB. By analyzing SPDR Bloomberg'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 Bloomberg'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 Bloomberg specific price patterns or momentum indicators. Please read more on our technical analysis page.
SPDR Bloomberg February 8, 2026 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 | (0.06) | |||
| Market Risk Adjusted Performance | (1.68) | |||
| Mean Deviation | 0.091 | |||
| Coefficient Of Variation | (3,970) | |||
| Standard Deviation | 0.1534 | |||
| Variance | 0.0235 | |||
| Information Ratio | (0.61) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.03) | |||
| Treynor Ratio | (1.69) | |||
| Maximum Drawdown | 0.8252 | |||
| Value At Risk | (0.33) | |||
| Potential Upside | 0.232 | |||
| Skewness | (0.42) | |||
| Kurtosis | 1.73 |
SPDR Bloomberg February 8, 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 SPDR 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 | 1.00 | ||
| Day Median Price | 30.42 | ||
| Day Typical Price | 30.42 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in SPDR Etf
SPDR Bloomberg 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 Bloomberg security.