State Street Target Fund Technical Analysis
| SSDWX Fund | USD 18.01 -0.15 -0.83% |
As of the 16th of March 2026, State Street lists a market price of 18.01 per share. Market-based metrics show Risk Adjusted Performance of 0.0389, coefficient of variation of 2001.83, and Semi Deviation of 0.7243. Structured modeling of historical data supports trend assessment. Current readings are analyzed relative to broader market benchmarks.
State Street Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as State, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to StateState |
What if' Analysis
Running a what-if backtest on State Street Target gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. The stronger interpretation comes from comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome.
| 12/16/2025 |
| 03/16/2026 |
An initial 0.00 allocation to State Street on December 16, 2025 held through today would generate 0.00 in net gains. The change equals a 0.0% net return in State Street in aggregate over a 90 day window. State Street competes with or is related to Rbb Fund, Materials Portfolio, Intal High, NOVA FUND, M3Sixty Capital, and Versatile Bond. The list provides context for relative analysis. SSGA Funds Management, Inc. manages the Target Retirement 2060 Fund using a proprietary asset allocation strategy More
State Street Momentum Range Indicators Summary
Upside and downside indicators for State Street summarize momentum balance and potential range context for the fund. They provide a structured view of short-term momentum and range behavior.
| Downside Deviation | 0.7892 | |||
| Information Ratio | 0.0974 | |||
| Maximum Drawdown | 4.02 | |||
| Value At Risk | -1.29 | |||
| Potential Upside | 0.8943 |
Volatility and Risk Indicators for State Street Summary
These indicators track State Street's volatility and return range dynamics. The metrics rely on historical prices to describe variability over time.| Risk Adjusted Performance | 0.0389 | |||
| Jensen Alpha | 0.0573 | |||
| Total Risk Alpha | 0.0681 | |||
| Sortino Ratio | 0.0906 | |||
| Treynor Ratio | 0.0391 |
The mean reversion tendency in State Street's price is a well-documented phenomenon that disciplined investors can exploit by identifying when price has diverged substantially from fundamental and historical anchors.
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 | 0.0389 | |||
| Market Risk Adjusted Performance | 0.0491 | |||
| Mean Deviation | 0.5431 | |||
| Semi Deviation | 0.7243 | |||
| Downside Deviation | 0.7892 | |||
| Coefficient Of Variation | 2001.83 | |||
| Standard Deviation | 0.7346 | |||
| Variance | 0.5396 | |||
| Information Ratio | 0.0974 | |||
| Jensen Alpha | 0.0573 | |||
| Total Risk Alpha | 0.0681 | |||
| Sortino Ratio | 0.0906 | |||
| Treynor Ratio | 0.0391 | |||
| Maximum Drawdown | 4.02 | |||
| Value At Risk | -1.29 | |||
| Potential Upside | 0.8943 | |||
| Downside Variance | 0.6228 | |||
| Semi Variance | 0.5247 | |||
| Expected Short fall | -0.56 | |||
| Skewness | -0.12 | |||
| Kurtosis | 1.07 |
State Street Target Backtested Returns
State Street demonstrates a very low volatility profile during the selected investment horizon. It maintains a Sharpe Ratio (Efficiency) of 0.0582, representing adjusted performance consistency. We identified twenty-seven technical indicators influencing the company's volatility profile. Please examine metrics such as risk-adjusted performance of 0.0389, coefficient of variation of 2001.83, and Semi Deviation of 0.7243 to review volatility-return dynamics. The fund secures a Beta (Market Risk) of 0.68, which alludes to possible diversification benefits within a given portfolio. Returns on State Street tend to trail the broader market in strong rallies but hold up better when sentiment turns negative.
Auto-correlation | -0.27 |
Weak reverse predictability
The autocorrelation profile for State Street Target registers weak reverse predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling State Street Target's near-term price behavior. A serial correlation of -0.27 indicates that nearly 27.0% of current State Street price fluctuations can be explained by its historical price movements. Given that State Street Target has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.27 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Technical analysis for State Street evaluates price and volume patterns over time. The model references moving averages, relative strength, and price correlation signals.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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 State Street Target volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of State Street focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Regime change is often preceded by volatility clustering and momentum decay.
This section for State Street Target is built from fund disclosures and market reference feeds, with harmonization applied to align reporting definitions. Values may update on different source schedules.
This content is curated and reviewed by:
Vlad Skutelnik - Macroaxis ContributorState Street Technical Indicators
Investors following State Street Target often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0389 | |||
| Market Risk Adjusted Performance | 0.0491 | |||
| Mean Deviation | 0.5431 | |||
| Semi Deviation | 0.7243 | |||
| Downside Deviation | 0.7892 | |||
| Coefficient Of Variation | 2001.83 | |||
| Standard Deviation | 0.7346 | |||
| Variance | 0.5396 | |||
| Information Ratio | 0.0974 | |||
| Jensen Alpha | 0.0573 | |||
| Total Risk Alpha | 0.0681 | |||
| Sortino Ratio | 0.0906 | |||
| Treynor Ratio | 0.0391 | |||
| Maximum Drawdown | 4.02 | |||
| Value At Risk | -1.29 | |||
| Potential Upside | 0.8943 | |||
| Downside Variance | 0.6228 | |||
| Semi Variance | 0.5247 | |||
| Expected Short fall | -0.56 | |||
| Skewness | -0.12 | |||
| Kurtosis | 1.07 |
March 16, 2026 Daily Trend Indicators
Investors following State Street Target often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. This is most useful when investors want to compare trend quality, momentum, and mean-reversion risk before acting.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | -Huge | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 18.01 | ||
| Day Typical Price | 18.01 | ||
| Price Action Indicator | -0.07 |