Simt High Yield Fund Technical Analysis
| SHYAX Fund | USD 5.32 0.02 0.38% |
As of the 29th of January, Simt High has the Risk Adjusted Performance of 0.1094, downside deviation of 0.2548, and Standard Deviation of 0.227. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Simt High Yield, as well as the relationship between them.
Simt High 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 High '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 High'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 High.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in Simt High on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding Simt High Yield or generate 0.0% return on investment in Simt High over 90 days. Simt High is related to or competes with Simt Mid, Simt High, Simt Multi-asset, Simt Real, Simt Small, Simt Sp, and Simt Tax-managed. The fund will invest at least 80 percent of its net assets in high yield fixed income securities More
Simt High 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 High'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 High Yield upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.2548 | |||
| Information Ratio | (0.15) | |||
| Maximum Drawdown | 1.34 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.5693 |
Simt High Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simt High's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simt High's standard deviation. In reality, there are many statistical measures that can use Simt High historical prices to predict the future Simt High's volatility.| Risk Adjusted Performance | 0.1094 | |||
| Jensen Alpha | 0.0324 | |||
| Total Risk Alpha | 0.0106 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | (1.14) |
Simt High January 29, 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 | 0.1094 | |||
| Market Risk Adjusted Performance | (1.13) | |||
| Mean Deviation | 0.1555 | |||
| Downside Deviation | 0.2548 | |||
| Coefficient Of Variation | 558.11 | |||
| Standard Deviation | 0.227 | |||
| Variance | 0.0515 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | 0.0324 | |||
| Total Risk Alpha | 0.0106 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | (1.14) | |||
| Maximum Drawdown | 1.34 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.5693 | |||
| Downside Variance | 0.0649 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.30) | |||
| Skewness | 1.31 | |||
| Kurtosis | 3.94 |
Simt High Yield Backtested Returns
At this stage we consider Simt Mutual Fund to be out of control. Simt High Yield owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the fund had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Simt High Yield, which you can use to evaluate the volatility of the fund. Please validate Simt High's Risk Adjusted Performance of 0.1094, standard deviation of 0.227, and Downside Deviation of 0.2548 to confirm if the risk estimate we provide is consistent with the expected return of 0.0351%. The entity has a beta of -0.0269, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Simt High are expected to decrease at a much lower rate. During the bear market, Simt High is likely to outperform the market.
Auto-correlation | 0.13 |
Insignificant predictability
Simt High Yield has insignificant predictability. Overlapping area represents the amount of predictability between Simt High time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 High Yield price movement. The serial correlation of 0.13 indicates that less than 13.0% of current Simt High price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.13 | |
| Spearman Rank Test | 0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Simt High 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 High Yield 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 High Yield volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Simt High 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 High Yield 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 High Yield based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Simt High Yield price pattern first instead of the macroeconomic environment surrounding Simt High Yield. By analyzing Simt High'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 High'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 High specific price patterns or momentum indicators. Please read more on our technical analysis page.
Simt High January 29, 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 | 0.1094 | |||
| Market Risk Adjusted Performance | (1.13) | |||
| Mean Deviation | 0.1555 | |||
| Downside Deviation | 0.2548 | |||
| Coefficient Of Variation | 558.11 | |||
| Standard Deviation | 0.227 | |||
| Variance | 0.0515 | |||
| Information Ratio | (0.15) | |||
| Jensen Alpha | 0.0324 | |||
| Total Risk Alpha | 0.0106 | |||
| Sortino Ratio | (0.13) | |||
| Treynor Ratio | (1.14) | |||
| Maximum Drawdown | 1.34 | |||
| Value At Risk | (0.19) | |||
| Potential Upside | 0.5693 | |||
| Downside Variance | 0.0649 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.30) | |||
| Skewness | 1.31 | |||
| Kurtosis | 3.94 |
Simt High January 29, 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 | 5.32 | ||
| Day Typical Price | 5.32 | ||
| Price Action Indicator | 0.01 |
Other Information on Investing in Simt Mutual Fund
Simt High 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 High security.
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Performance Analysis Check effects of mean-variance optimization against your current asset allocation |