Spdr Bloomberg Short Etf Technical Analysis
| BWZ Etf | USD 27.52 0.15 0.55% |
As of the 22nd of January, SPDR Bloomberg has the risk adjusted performance of 0.0182, and Coefficient Of Variation of 2424.09. SPDR Bloomberg technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the etf's future prices.
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 Bloomberg's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.The market value of SPDR Bloomberg Short is measured differently than its book value, which is the value of SPDR that is recorded on the company's balance sheet. Investors also form their own opinion of SPDR Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is SPDR Bloomberg's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SPDR Bloomberg's market value can be influenced by many factors that don't directly affect SPDR Bloomberg's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SPDR Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Bloomberg's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
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.
| 10/24/2025 |
| 01/22/2026 |
If you would invest 0.00 in SPDR Bloomberg on October 24, 2025 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg Short or generate 0.0% return on investment in SPDR Bloomberg over 90 days. SPDR Bloomberg is related to or competes with IShares MSCI, SPDR FTSE, WisdomTree SmallCap, IShares MSCI, AIM ETF, IShares Currency, and VanEck ETF. The fund invests substantially all, but at least 80, of its total assets in the securities comprising the index and in s... 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 Short upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3247 | |||
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 1.68 | |||
| Value At Risk | (0.44) | |||
| Potential Upside | 0.517 |
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 | 0.0182 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.28) | |||
| Treynor Ratio | 0.048 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SPDR Bloomberg's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
SPDR Bloomberg January 22, 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 | 0.0182 | |||
| Market Risk Adjusted Performance | 0.058 | |||
| Mean Deviation | 0.2477 | |||
| Semi Deviation | 0.2842 | |||
| Downside Deviation | 0.3247 | |||
| Coefficient Of Variation | 2424.09 | |||
| Standard Deviation | 0.3321 | |||
| Variance | 0.1103 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.28) | |||
| Treynor Ratio | 0.048 | |||
| Maximum Drawdown | 1.68 | |||
| Value At Risk | (0.44) | |||
| Potential Upside | 0.517 | |||
| Downside Variance | 0.1054 | |||
| Semi Variance | 0.0807 | |||
| Expected Short fall | (0.27) | |||
| Skewness | 0.4929 | |||
| Kurtosis | 2.39 |
SPDR Bloomberg Short Backtested Returns
At this stage we consider SPDR Etf to be very steady. SPDR Bloomberg Short owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0413, which indicates the etf had a 0.0413 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for SPDR Bloomberg Short, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's coefficient of variation of 2424.09, and Risk Adjusted Performance of 0.0182 to confirm if the risk estimate we provide is consistent with the expected return of 0.0137%. The entity has a beta of 0.0771, 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 | -0.23 |
Weak reverse predictability
SPDR Bloomberg Short has weak reverse predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 24th of October 2025 to 8th of December 2025 and 8th of December 2025 to 22nd of January 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 Short price movement. The serial correlation of -0.23 indicates that over 23.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | -0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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 Short Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Short 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 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 SPDR Bloomberg Short based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SPDR Bloomberg Short price pattern first instead of the macroeconomic environment surrounding SPDR Bloomberg Short. 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 January 22, 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 | 0.0182 | |||
| Market Risk Adjusted Performance | 0.058 | |||
| Mean Deviation | 0.2477 | |||
| Semi Deviation | 0.2842 | |||
| Downside Deviation | 0.3247 | |||
| Coefficient Of Variation | 2424.09 | |||
| Standard Deviation | 0.3321 | |||
| Variance | 0.1103 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.28) | |||
| Treynor Ratio | 0.048 | |||
| Maximum Drawdown | 1.68 | |||
| Value At Risk | (0.44) | |||
| Potential Upside | 0.517 | |||
| Downside Variance | 0.1054 | |||
| Semi Variance | 0.0807 | |||
| Expected Short fall | (0.27) | |||
| Skewness | 0.4929 | |||
| Kurtosis | 2.39 |
SPDR Bloomberg Short One Year Return
Based on the recorded statements, SPDR Bloomberg Short has an One Year Return of 10.5%. This is 35.31% higher than that of the SPDR State Street Global Advisors family and significantly higher than that of the Global Bond category. The one year return for all United States etfs is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.SPDR Bloomberg January 22, 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 | 730.32 | ||
| Daily Balance Of Power | 1.36 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 27.51 | ||
| Day Typical Price | 27.51 | ||
| Price Action Indicator | 0.09 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in SPDR Bloomberg Short. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as various price indices. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
The market value of SPDR Bloomberg Short is measured differently than its book value, which is the value of SPDR that is recorded on the company's balance sheet. Investors also form their own opinion of SPDR Bloomberg's value that differs from its market value or its book value, called intrinsic value, which is SPDR Bloomberg's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because SPDR Bloomberg's market value can be influenced by many factors that don't directly affect SPDR Bloomberg's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between SPDR Bloomberg's value and its price as these two are different measures arrived at by different means. Investors typically determine if SPDR Bloomberg is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SPDR Bloomberg's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.