State Street Equity Fund Technical Analysis
| SSSVX Fund | USD 519.12 0.67 0.13% |
As of the 31st of January, State Street has the Semi Deviation of 0.7829, coefficient of variation of 1512.67, and Risk Adjusted Performance of 0.048. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of State Street Equity, as well as the relationship between them.
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 |
State Street '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 State Street's mutual fund 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 State Street.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in State Street on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding State Street Equity or generate 0.0% return on investment in State Street over 90 days. The fund uses a passive management strategy designed to track the performance of the SP 500 More
State Street 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 State Street's mutual fund 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 State Street Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8614 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.16 |
State Street Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for State Street's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as State Street's standard deviation. In reality, there are many statistical measures that can use State Street historical prices to predict the future State Street's volatility.| Risk Adjusted Performance | 0.048 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0481 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of State Street'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.
State Street January 31, 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 | 0.048 | |||
| Market Risk Adjusted Performance | 0.0581 | |||
| Mean Deviation | 0.536 | |||
| Semi Deviation | 0.7829 | |||
| Downside Deviation | 0.8614 | |||
| Coefficient Of Variation | 1512.67 | |||
| Standard Deviation | 0.724 | |||
| Variance | 0.5242 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0481 | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.16 | |||
| Downside Variance | 0.7419 | |||
| Semi Variance | 0.6129 | |||
| Expected Short fall | (0.50) | |||
| Skewness | (0.60) | |||
| Kurtosis | 0.6865 |
State Street Equity Backtested Returns
At this stage we consider State Mutual Fund to be very steady. State Street Equity owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.051, which indicates the fund had a 0.051 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for State Street Equity, which you can use to evaluate the volatility of the fund. Please validate State Street's Coefficient Of Variation of 1512.67, risk adjusted performance of 0.048, and Semi Deviation of 0.7829 to confirm if the risk estimate we provide is consistent with the expected return of 0.0369%. The entity has a beta of 0.79, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, State Street's returns are expected to increase less than the market. However, during the bear market, the loss of holding State Street is expected to be smaller as well.
Auto-correlation | 0.05 |
Virtually no predictability
State Street Equity has virtually no predictability. Overlapping area represents the amount of predictability between State Street time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 State Street Equity price movement. The serial correlation of 0.05 indicates that only as little as 5.0% of current State Street price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.05 | |
| Spearman Rank Test | 0.18 | |
| Residual Average | 0.0 | |
| Price Variance | 24.05 |
State Street technical mutual fund 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, fund market cycles, or different charting patterns.
State Street Equity Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Equity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About State Street 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 State Street Equity 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 State Street Equity based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on State Street Equity price pattern first instead of the macroeconomic environment surrounding State Street Equity. By analyzing State Street'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 State Street'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 State Street specific price patterns or momentum indicators. Please read more on our technical analysis page.
State Street January 31, 2026 Technical Indicators
Most technical analysis of State 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 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 | 0.048 | |||
| Market Risk Adjusted Performance | 0.0581 | |||
| Mean Deviation | 0.536 | |||
| Semi Deviation | 0.7829 | |||
| Downside Deviation | 0.8614 | |||
| Coefficient Of Variation | 1512.67 | |||
| Standard Deviation | 0.724 | |||
| Variance | 0.5242 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0481 | |||
| Maximum Drawdown | 3.61 | |||
| Value At Risk | (1.18) | |||
| Potential Upside | 1.16 | |||
| Downside Variance | 0.7419 | |||
| Semi Variance | 0.6129 | |||
| Expected Short fall | (0.50) | |||
| Skewness | (0.60) | |||
| Kurtosis | 0.6865 |
State Street January 31, 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 State 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 | 1.00 | ||
| Day Median Price | 519.12 | ||
| Day Typical Price | 519.12 | ||
| Price Action Indicator | (0.33) |
Other Information on Investing in State Mutual Fund
State Street financial ratios help investors to determine whether State Mutual Fund 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 State with respect to the benefits of owning State Street security.
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