Spdr Bloomberg High Etf Technical Analysis
| JNK Etf | USD 97.40 0.29 0.30% |
As of the 6th of February, SPDR Bloomberg has the risk adjusted performance of 0.0976, and Standard Deviation of 0.16. 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.Understanding SPDR Bloomberg High requires distinguishing between market price and book value, where the latter reflects SPDR's accounting equity. The concept of intrinsic value - what SPDR Bloomberg's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push SPDR Bloomberg's price substantially above or below its fundamental value.
Understanding that SPDR Bloomberg's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether SPDR Bloomberg represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, SPDR Bloomberg's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
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.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in SPDR Bloomberg on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding SPDR Bloomberg High or generate 0.0% return on investment in SPDR Bloomberg over 90 days. SPDR Bloomberg is related to or competes with SPDR Portfolio, SPDR Portfolio, SPDR Barclays, IShares Global, First Trust, IShares SP, and IShares MSCI. The fund generally invests substantially all, but at least 80, of its total assets in the securities comprising the inde... 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 High upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1686 | |||
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 0.797 | |||
| Value At Risk | (0.23) | |||
| Potential Upside | 0.295 |
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 | 0.0976 | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | 0.0112 | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.2564 |
SPDR Bloomberg February 6, 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 | 0.0976 | |||
| Market Risk Adjusted Performance | 0.2664 | |||
| Mean Deviation | 0.1171 | |||
| Downside Deviation | 0.1686 | |||
| Coefficient Of Variation | 558.8 | |||
| Standard Deviation | 0.16 | |||
| Variance | 0.0256 | |||
| Information Ratio | (0.10) | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | 0.0112 | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.2564 | |||
| Maximum Drawdown | 0.797 | |||
| Value At Risk | (0.23) | |||
| Potential Upside | 0.295 | |||
| Downside Variance | 0.0284 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.13) | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.6286 |
SPDR Bloomberg High Backtested Returns
As of now, SPDR Etf is very steady. SPDR Bloomberg High owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.2, which indicates the etf had a 0.2 % return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for SPDR Bloomberg High, which you can use to evaluate the volatility of the etf. Please validate SPDR Bloomberg's standard deviation of 0.16, and Risk Adjusted Performance of 0.0976 to confirm if the risk estimate we provide is consistent with the expected return of 0.0319%. The entity has a beta of 0.0727, 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 | 0.77 |
Good predictability
SPDR Bloomberg High has good predictability. Overlapping area represents the amount of predictability between SPDR Bloomberg time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 High price movement. The serial correlation of 0.77 indicates that around 77.0% of current SPDR Bloomberg price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.77 | |
| Spearman Rank Test | 0.77 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
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 High Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 High 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 High 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 High based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on SPDR Bloomberg High price pattern first instead of the macroeconomic environment surrounding SPDR Bloomberg High. 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 6, 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 | 0.0976 | |||
| Market Risk Adjusted Performance | 0.2664 | |||
| Mean Deviation | 0.1171 | |||
| Downside Deviation | 0.1686 | |||
| Coefficient Of Variation | 558.8 | |||
| Standard Deviation | 0.16 | |||
| Variance | 0.0256 | |||
| Information Ratio | (0.10) | |||
| Jensen Alpha | 0.0161 | |||
| Total Risk Alpha | 0.0112 | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | 0.2564 | |||
| Maximum Drawdown | 0.797 | |||
| Value At Risk | (0.23) | |||
| Potential Upside | 0.295 | |||
| Downside Variance | 0.0284 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.13) | |||
| Skewness | (0.13) | |||
| Kurtosis | 0.6286 |
SPDR Bloomberg High One Year Return
Based on the recorded statements, SPDR Bloomberg High has an One Year Return of 8.0%. This is 3.09% higher than that of the SPDR State Street Global Advisors family and significantly higher than that of the High Yield 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 February 6, 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 | 10,246 | ||
| Daily Balance Of Power | 1.26 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 97.31 | ||
| Day Typical Price | 97.34 | ||
| Price Action Indicator | 0.24 |
Check out Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in SPDR Bloomberg High. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in state. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Understanding SPDR Bloomberg High requires distinguishing between market price and book value, where the latter reflects SPDR's accounting equity. The concept of intrinsic value - what SPDR Bloomberg's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Market sentiment, economic cycles, and investor behavior can push SPDR Bloomberg's price substantially above or below its fundamental value.
Understanding that SPDR Bloomberg's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether SPDR Bloomberg represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. In contrast, SPDR Bloomberg's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.