Ssga Spdr Etfs Etf Technical Analysis
| USUTF Etf | USD 53.38 1.14 2.09% |
As of the 5th of February, SSgA SPDR has the Variance of 0.6075, coefficient of variation of (846.31), and Risk Adjusted Performance of (0.09). Our technical analysis interface makes it possible for you to check existing technical drivers of SSgA SPDR ETFs, as well as the relationship between them. In other words, you can use this information to find out if the etf will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate and analyze data for thirteen technical drivers for SSgA SPDR ETFs, which can be compared to its competition. Please validate SSgA SPDR ETFs standard deviation and value at risk to decide if SSgA SPDR is priced more or less accurately, providing market reflects its prevalent price of 53.38 per share.
SSgA SPDR Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as SSgA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SSgASSgA |
SSgA SPDR '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 SSgA SPDR's otc 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 SSgA SPDR.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in SSgA SPDR on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding SSgA SPDR ETFs or generate 0.0% return on investment in SSgA SPDR over 90 days. More
SSgA SPDR 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 SSgA SPDR's otc 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 SSgA SPDR ETFs upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 5.33 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 0.0561 |
SSgA SPDR Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SSgA SPDR's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SSgA SPDR's standard deviation. In reality, there are many statistical measures that can use SSgA SPDR historical prices to predict the future SSgA SPDR's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 0.4556 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SSgA SPDR'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.
SSgA SPDR February 5, 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 | (0.09) | |||
| Market Risk Adjusted Performance | 0.4656 | |||
| Mean Deviation | 0.3057 | |||
| Coefficient Of Variation | (846.31) | |||
| Standard Deviation | 0.7794 | |||
| Variance | 0.6075 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 0.4556 | |||
| Maximum Drawdown | 5.33 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 0.0561 | |||
| Skewness | (1.43) | |||
| Kurtosis | 14.37 |
SSgA SPDR ETFs Backtested Returns
SSgA SPDR ETFs owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0725, which indicates the etf had a -0.0725 % return per unit of risk over the last 3 months. SSgA SPDR ETFs exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SSgA SPDR's Variance of 0.6075, risk adjusted performance of (0.09), and Coefficient Of Variation of (846.31) to confirm the risk estimate we provide. The entity has a beta of -0.22, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning SSgA SPDR are expected to decrease at a much lower rate. During the bear market, SSgA SPDR is likely to outperform the market.
Auto-correlation | -0.47 |
Modest reverse predictability
SSgA SPDR ETFs has modest reverse predictability. Overlapping area represents the amount of predictability between SSgA SPDR time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 SSgA SPDR ETFs price movement. The serial correlation of -0.47 indicates that about 47.0% of current SSgA SPDR price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
SSgA SPDR technical otc 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, otc market cycles, or different charting patterns.
SSgA SPDR ETFs 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 SSgA SPDR ETFs volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About SSgA SPDR 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 SSgA SPDR ETFs 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 SSgA SPDR ETFs based on its technical analysis. In general, a bottom-up approach, as applied to this otc etf, focuses on SSgA SPDR ETFs price pattern first instead of the macroeconomic environment surrounding SSgA SPDR ETFs. By analyzing SSgA SPDR'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 SSgA SPDR'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 SSgA SPDR specific price patterns or momentum indicators. Please read more on our technical analysis page.
SSgA SPDR February 5, 2026 Technical Indicators
Most technical analysis of SSgA 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 SSgA from various momentum indicators to cycle indicators. When you analyze SSgA 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 | (0.09) | |||
| Market Risk Adjusted Performance | 0.4656 | |||
| Mean Deviation | 0.3057 | |||
| Coefficient Of Variation | (846.31) | |||
| Standard Deviation | 0.7794 | |||
| Variance | 0.6075 | |||
| Information Ratio | (0.20) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.16) | |||
| Treynor Ratio | 0.4556 | |||
| Maximum Drawdown | 5.33 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 0.0561 | |||
| Skewness | (1.43) | |||
| Kurtosis | 14.37 |
SSgA SPDR February 5, 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 SSgA 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 | 0.98 | ||
| Day Median Price | 53.38 | ||
| Day Typical Price | 53.38 | ||
| Price Action Indicator | (0.57) |
Other Information on Investing in SSgA OTC Etf
SSgA SPDR financial ratios help investors to determine whether SSgA OTC 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 SSgA with respect to the benefits of owning SSgA SPDR security.