State Street Target Fund Technical Analysis
| SSCNX Fund | USD 15.77 0.07 0.45% |
According to pricing data from the 18th of March 2026, STATE STREET trades at 15.77 per share. Quantitative signals reflect Risk Adjusted Performance of 0.0841, semi deviation of 0.5206, and Coefficient Of Variation of 942.32. Volume-adjusted indicators are evaluated relative to historical ranges. Current technical signals are evaluated against industry dispersion.
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
Historical what-if analysis for State Street Target is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. Used properly, this review helps investors decide whether STATE STREET's historical reward profile was stable enough to support the current thesis.
| 12/18/2025 |
| 03/18/2026 |
Starting with 0.00 in STATE STREET on December 18, 2025 and exiting today would produce 0.00 in overall gains. This reflects a 0.0% total return in STATE STREET overall across 90 days. STATE STREET is related to or competes with Prudential Government, INTERMEDIATE GOVERNMENT, VANGUARD INTERMEDIATE-TER, Us Government, STERLING CAPITAL, and FEDERATED GOVERNMENT. This provides context for relative positioning. SSGA Funds Management, Inc. manages the Target Retirement 2040 Fund using a proprietary asset allocation strategy More
STATE STREET Momentum Range Indicators Summary
This section highlights upside and downside signals that contextualize STATE STREET price behavior. They compare current price to recent trend and sentiment readings.
| Downside Deviation | 0.6727 | |||
| Information Ratio | 0.1441 | |||
| Maximum Drawdown | 6.17 | |||
| Value At Risk | -1.13 | |||
| Potential Upside | 0.8349 |
Market Risk Indicators for STATE STREET Dashboard
Risk measures here provide context on STATE STREET's return distribution and drawdown behavior. The measures summarize variability without implying direction.| Risk Adjusted Performance | 0.0841 | |||
| Jensen Alpha | 0.0983 | |||
| Total Risk Alpha | 0.1182 | |||
| Sortino Ratio | 0.174 | |||
| Treynor Ratio | 0.1409 |
Mean reversion opportunities in STATE STREET's arise when market prices disconnect from fundamental anchors such as earnings, book value, or historical price-to-earnings multiples.
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 | 0.0841 | |||
| Market Risk Adjusted Performance | 0.1509 | |||
| Mean Deviation | 0.5138 | |||
| Semi Deviation | 0.5206 | |||
| Downside Deviation | 0.6727 | |||
| Coefficient Of Variation | 942.32 | |||
| Standard Deviation | 0.812 | |||
| Variance | 0.6594 | |||
| Information Ratio | 0.1441 | |||
| Jensen Alpha | 0.0983 | |||
| Total Risk Alpha | 0.1182 | |||
| Sortino Ratio | 0.174 | |||
| Treynor Ratio | 0.1409 | |||
| Maximum Drawdown | 6.17 | |||
| Value At Risk | -1.13 | |||
| Potential Upside | 0.8349 | |||
| Downside Variance | 0.4525 | |||
| Semi Variance | 0.271 | |||
| Expected Short fall | -0.58 | |||
| Skewness | 2.39 | |||
| Kurtosis | 13.79 |
State Street Target Backtested Returns
STATE STREET remains characterized by a very low volatility profile within the selected investment span. It maintains a Sharpe Ratio (Efficiency) of 0.13, representing adjusted performance consistency. We identified twenty-seven technical indicators influencing the company's volatility profile. Please review metrics such as risk-adjusted performance of 0.0841, semi deviation of 0.5206, and Coefficient Of Variation of 942.32 to assess internal risk calibration. The fund shows a Beta (market volatility) of 0.54, which conveys possible diversification benefits within a given portfolio. With a sub-1 beta, STATE STREET participates in market rallies at a reduced pace while also limiting downside exposure.
Auto-correlation | -0.13 |
Insignificant reverse predictability
The autocorrelation profile for State Street Target registers insignificant 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 -0.13 indicates that less than 13.0% 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 | -0.13 | |
| Spearman Rank Test | -0.4 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Technical analysis for STATE STREET evaluates price and volume patterns over time. The analysis highlights moving averages, RSI, and price correlation signals across the fund cycle.
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. Oscillator extremes can precede mean reversion under certain regimes.
For State Street Target, this section uses fund disclosures and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.
This content is curated and reviewed by:
Raphi Shpitalnik - Junior Member of Macroaxis Editorial BoardSTATE STREET Technical Indicators
Technical indicators tied to State Street Target help investors translate chart behavior into a more structured framework for entry, exit, and risk control. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0841 | |||
| Market Risk Adjusted Performance | 0.1509 | |||
| Mean Deviation | 0.5138 | |||
| Semi Deviation | 0.5206 | |||
| Downside Deviation | 0.6727 | |||
| Coefficient Of Variation | 942.32 | |||
| Standard Deviation | 0.812 | |||
| Variance | 0.6594 | |||
| Information Ratio | 0.1441 | |||
| Jensen Alpha | 0.0983 | |||
| Total Risk Alpha | 0.1182 | |||
| Sortino Ratio | 0.174 | |||
| Treynor Ratio | 0.1409 | |||
| Maximum Drawdown | 6.17 | |||
| Value At Risk | -1.13 | |||
| Potential Upside | 0.8349 | |||
| Downside Variance | 0.4525 | |||
| Semi Variance | 0.271 | |||
| Expected Short fall | -0.58 | |||
| Skewness | 2.39 | |||
| Kurtosis | 13.79 |
March 18, 2026 Daily Trend Indicators
Technical indicators tied to State Street Target help investors translate chart behavior into a more structured framework for entry, exit, and risk control. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 15.77 | ||
| Day Typical Price | 15.77 | ||
| Price Action Indicator | 0.04 |