State Street Target Fund Statistic Functions Linear Regression

SSFOX Fund  USD 11.50  -0.04  -0.35%   
Use the statistic functions workspace to apply Linear Regression function and other studies to STATE STREET. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context.Enter Time Period to execute this module.

Execute Function
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression model generates relationship between price series of State Street Target and its peer or benchmark and helps predict STATE STREET future price from its past values.

STATE STREET Technical Analysis Modules

Most technical analysis of STATE STREET 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 STATE from various momentum indicators to cycle indicators. When you analyze STATE charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

Mutual Fund Overview, Methodology & Data Sources

This section reviews NAV behavior, category positioning, and exposure stability over time. The current allocation is approximately 35.0% equities, 3.0% bonds and 2.0% cash. It is classified under Target-Date Retirement within the State Street Global Advisors family.

Methodology

Unless otherwise specified, data for State Street Target is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. State Street Target market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

State Street Target may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Michael Smolkin - Member of Macroaxis Board of Directors

Learn to be your own money manager

Tracking STATE STREET inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

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Bollinger Bands

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State Street Target pair trading

Pair trading with STATE STREET can help investors hedge some company-specific exposure by balancing a long view with an offsetting position. The key question is whether the second leg adds real hedge value instead of just creating a more complex version of the same risk.

STATE STREET Pair Trading

State Street Target Pair Trading Analysis

Sophisticated investors use correlation analysis to build STATE STREET replacement strategies that go beyond simple sector matching. Assets with similar factor exposures to State Street Target provide the most accurate portfolio substitution during tax-loss harvesting periods.
Statistical correlation between STATE STREET and its peers is an essential input for mean-variance portfolio optimization. Lower correlation of State Street Target with other holdings allows for a more efficient frontier with superior risk-adjusted returns.
Correlation analysis and pair evaluation for STATE STREET can support hedging context. This approach is commonly reviewed within sectors and across broader groups.
Pair CorrelationCorrelation Matching