Simt E Fixed Fund Technical Analysis
| SCFYX Fund | USD 9.69 0.01 0.10% |
As of the 31st of January, Simt Core has the Risk Adjusted Performance of (0.03), coefficient of variation of 110390.05, and Semi Deviation of 0.1909. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simt E Fixed, as well as the relationship between them.
Simt Core Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Simt, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SimtSimt |
Simt Core '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 Simt Core'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 Simt Core.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Simt Core on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Simt E Fixed or generate 0.0% return on investment in Simt Core over 90 days. Simt Core is related to or competes with Wells Fargo, Dnp Select, Perkins Mid, Core Plus, Tcw Emerging, Perkins Mid, and Perkins Mid. Under normal circumstances, the fund will invest at least 80 percent of its net assets in fixed income securities More
Simt Core 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 Simt Core'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 Simt E Fixed upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2505 | |||
| Information Ratio | (0.33) | |||
| Maximum Drawdown | 0.7253 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2073 |
Simt Core Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simt Core's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simt Core's standard deviation. In reality, there are many statistical measures that can use Simt Core historical prices to predict the future Simt Core's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.24) | |||
| Treynor Ratio | (0.14) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Simt Core'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.
Simt Core 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.13) | |||
| Mean Deviation | 0.1377 | |||
| Semi Deviation | 0.1909 | |||
| Downside Deviation | 0.2505 | |||
| Coefficient Of Variation | 110390.05 | |||
| Standard Deviation | 0.1838 | |||
| Variance | 0.0338 | |||
| Information Ratio | (0.33) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.24) | |||
| Treynor Ratio | (0.14) | |||
| Maximum Drawdown | 0.7253 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2073 | |||
| Downside Variance | 0.0627 | |||
| Semi Variance | 0.0364 | |||
| Expected Short fall | (0.16) | |||
| Skewness | (0.75) | |||
| Kurtosis | 1.12 |
Simt E Fixed Backtested Returns
At this stage we consider Simt Mutual Fund to be very steady. Simt E Fixed owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0307, which indicates the fund had a 0.0307 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Simt E Fixed, which you can use to evaluate the volatility of the fund. Please validate Simt Core's Risk Adjusted Performance of (0.03), coefficient of variation of 110390.05, and Semi Deviation of 0.1909 to confirm if the risk estimate we provide is consistent with the expected return of 0.0052%. The entity has a beta of 0.0701, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Simt Core's returns are expected to increase less than the market. However, during the bear market, the loss of holding Simt Core is expected to be smaller as well.
Auto-correlation | 0.34 |
Below average predictability
Simt E Fixed has below average predictability. Overlapping area represents the amount of predictability between Simt Core 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 Simt E Fixed price movement. The serial correlation of 0.34 indicates that nearly 34.0% of current Simt Core price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.34 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Simt Core 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.
Simt E Fixed 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 Simt E Fixed volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Simt Core 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 Simt E Fixed 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 Simt E Fixed based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Simt E Fixed price pattern first instead of the macroeconomic environment surrounding Simt E Fixed. By analyzing Simt Core'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 Simt Core'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 Simt Core specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simt Core January 31, 2026 Technical Indicators
Most technical analysis of Simt 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 Simt from various momentum indicators to cycle indicators. When you analyze Simt 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 | (0.03) | |||
| Market Risk Adjusted Performance | (0.13) | |||
| Mean Deviation | 0.1377 | |||
| Semi Deviation | 0.1909 | |||
| Downside Deviation | 0.2505 | |||
| Coefficient Of Variation | 110390.05 | |||
| Standard Deviation | 0.1838 | |||
| Variance | 0.0338 | |||
| Information Ratio | (0.33) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.24) | |||
| Treynor Ratio | (0.14) | |||
| Maximum Drawdown | 0.7253 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2073 | |||
| Downside Variance | 0.0627 | |||
| Semi Variance | 0.0364 | |||
| Expected Short fall | (0.16) | |||
| Skewness | (0.75) | |||
| Kurtosis | 1.12 |
Simt Core 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 Simt 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 | 9.69 | ||
| Day Typical Price | 9.69 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Simt Mutual Fund
Simt Core financial ratios help investors to determine whether Simt 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 Simt with respect to the benefits of owning Simt Core security.
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