STATE STREET Mutual Fund Forward View - Triple Exponential Smoothing
| SSCJX Fund | USD 15.12 -0.17 -1.11% |
Momentum
Impartial
Oversold | Overbought |
This view aligns STATE STREET's headline activity with price response and peer context.
The Triple Exponential Smoothing forecasted value of State Street Target on the next trading day is expected to be 15.14 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 4.21.STATE STREET after-hype prediction price | $ 15.12 |
This view adds attention context to forecasting, technical signals, analyst estimates, and earnings data.
STATE |
STATE STREET Additional Predictive Modules
Most predictive techniques to examine STATE price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for STATE using various technical 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Triple Exponential Smoothing Price Forecast For the 13th of March 2026
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of State Street Target on the next trading day is expected to be 15.14 with a mean absolute deviation of 0.07 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 4.21 .Please note that although there have been many attempts to predict STATE Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that STATE STREET's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest STATE STREET | STATE STREET Price Prediction | Research Analysis |
Forecasted Value
This next-day forecast for State Street Target uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of STATE STREET mutual fund data series using in forecasting. Note that when a statistical model is used to represent STATE STREET mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | Huge |
| Bias | Arithmetic mean of the errors | 0.0083 |
| MAD | Mean absolute deviation | 0.0714 |
| MAPE | Mean absolute percentage error | 0.0047 |
| SAE | Sum of the absolute errors | 4.21 |
Statistical evidence for mean reversion in STATE STREET's can be observed through its tendency to revert following periods of extreme overvaluation or undervaluation relative to peers or its own historical range.
After-Hype Price Density Analysis
This chart illustrates the range of possible STATE STREET price outcomes given current market conditions and historical patterns. The distribution of STATE STREET's predicted prices is derived from Monte Carlo simulations calibrated to STATE STREET's realized volatility.
Next price density |
| Expected price to next headline |
Estimiated After-Hype Price Volatility
The projected after-hype price range for STATE STREET is derived entirely from STATE STREET's historical news coverage and subsequent market behavior. STATE STREET's after-hype downside and upside margins for the prediction period are 14.38 and 15.86, respectively. No fundamental valuation inputs are used in this model; it is a purely empirical, backward-looking approach for STATE STREET.
Current Value
The after-hype framework applied to State Street Target assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Price Outlook Analysis
Have you ever been surprised when a price of a Mutual Fund such as STATE STREET is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading STATE STREET backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with STATE STREET, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.08 | 0.74 | 0.00 | 0.00 | 0 Events | 0 Events | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
15.12 | 15.12 | 0.00 |
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Hype Timeline
State Street Target is at this time traded for 15.12. The fund stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. STATE is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.08%. %. The volatility of related hype on STATE STREET is about 6577.78%, with the expected price after the next announcement by competition of 15.12. The fund has price-to-book ratio of 1.88. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. State Street Target last dividend was issued on the 30th of December 1970. Assuming a 90-day horizon the next forecasted press release will be within a week. Historical Fundamental Analysis of STATE STREET can be used to cross-verify projections for STATE STREET. The analysis adds historical context for the projection set.Related Hype Analysis
Analyzing STATE STREET's peer hype data reveals which competitors are most likely to influence STATE STREET's short-term price. High hype elasticity between STATE STREET and a peer indicates a strong market linkage.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FSPWX | Fidelity Sai Inflation Protected | 0.00 | 0 per month | 0.08 | 0.30 | 0.30 | -0.20 | 0.78 | |
| VIPIX | Vanguard Inflation Protected Securities | 0.00 | 0 per month | 0.10 | 0.28 | 0.32 | -0.21 | 0.74 | |
| QMHIX | Aqr Managed Futures | 0.00 | 0 per month | 0.61 | 0.31 | 1.41 | -1.08 | 4.05 | |
| ABNCX | Ab Bond Inflation | 0.00 | 1 per month | 0.00 | 0.48 | 0.10 | -0.20 | 0.39 | |
| ABNOX | Ab Bond Inflation | 0.00 | 0 per month | 0.00 | 0.45 | 0.19 | -0.19 | 0.39 | |
| BPRIX | BlackRock Inflation Protected | -0.02 | 1 per month | 0.07 | 0.33 | 0.30 | -0.20 | 0.71 | |
| MFTFX | Arrow Managed Futures | 0.11 | 1 per month | 1.18 | 0.21 | 2.03 | -2.15 | 6.29 | |
| BORIX | Collegeadvantage 529 Savings | 0.00 | 0 per month | 0.10 | 0.30 | 0.26 | -0.20 | 0.65 |
Other Forecasting Options for STATE STREET
The price behavior of STATE is a primary concern for any investor, beginner or expert, evaluating it as an investment. STATE Mutual Fund price charts can be cluttered with noise that obscures the underlying trend.STATE STREET Related Equities
The following equities are related to STATE STREET within the Target-Date 2035 space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing STATE STREET against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
STATE STREET Market Strength Events
Evaluating the market strength of STATE STREET mutual fund allows investors to gauge how the security tracks and reacts to shifts in market momentum. These indicators are particularly useful for traders seeking optimal timing for positions in State Street Target.
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 15.12 | |||
| Day Typical Price | 15.12 | |||
| Price Action Indicator | -0.09 | |||
| Period Momentum Indicator | -0.17 | |||
| Relative Strength Index | 45.44 |
STATE STREET Risk Indicators
Understanding STATE STREET's risk indicators is essential for any investor seeking to forecast its future price with reasonable accuracy. Quantifying the risk involved in STATE STREET's allows investors to make better decisions about entry, sizing, and hedging.
| Mean Deviation | 0.4554 | |||
| Semi Deviation | 0.4739 | |||
| Standard Deviation | 0.7438 | |||
| Variance | 0.5532 | |||
| Downside Variance | 0.3859 | |||
| Semi Variance | 0.2246 | |||
| Expected Short fall | -0.53 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for STATE STREET
Coverage intensity for State Street Target matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
Other Macroaxis Stories
Story coverage on Macroaxis is built for readers who approach markets from different levels of experience but share the same need for disciplined investment context. Used well, these stories become part of a broader workflow built around idea generation, validation, and risk-adjusted portfolio design.