Short Intermediate Bond Fund Technical Analysis
| FOSIX Fund | USD 9.12 0.01 0.11% |
As of the 1st of February, Short-intermediate has the Standard Deviation of 0.109, risk adjusted performance of 0.0661, and Downside Deviation of 0.129. Short-intermediate technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the fund's future prices.
Short-intermediate Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Short-intermediate, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Short-intermediateShort-intermediate |
Short-intermediate '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 Short-intermediate'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 Short-intermediate.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Short-intermediate on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Short Intermediate Bond Fund or generate 0.0% return on investment in Short-intermediate over 90 days. Short-intermediate is related to or competes with Federated Total, Pfg American, Ashmore Emerging, Ashmore Emerging, American Beacon, American Beacon, and Balanced Fund. Under normal market conditions, the Advisor intends to invest primarily all, but must invest at least 80, of its net ass... More
Short-intermediate 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 Short-intermediate'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 Short Intermediate Bond Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.129 | |||
| Information Ratio | (0.24) | |||
| Maximum Drawdown | 0.552 | |||
| Value At Risk | (0.11) | |||
| Potential Upside | 0.2215 |
Short-intermediate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short-intermediate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short-intermediate's standard deviation. In reality, there are many statistical measures that can use Short-intermediate historical prices to predict the future Short-intermediate's volatility.| Risk Adjusted Performance | 0.0661 | |||
| Jensen Alpha | 0.0077 | |||
| Total Risk Alpha | 0.0032 | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.4061 |
Short-intermediate February 1, 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 | 0.0661 | |||
| Market Risk Adjusted Performance | 0.4161 | |||
| Mean Deviation | 0.0714 | |||
| Downside Deviation | 0.129 | |||
| Coefficient Of Variation | 590.67 | |||
| Standard Deviation | 0.109 | |||
| Variance | 0.0119 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | 0.0077 | |||
| Total Risk Alpha | 0.0032 | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.4061 | |||
| Maximum Drawdown | 0.552 | |||
| Value At Risk | (0.11) | |||
| Potential Upside | 0.2215 | |||
| Downside Variance | 0.0166 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.17) | |||
| Skewness | 1.44 | |||
| Kurtosis | 4.09 |
Short Intermediate Bond Backtested Returns
At this stage we consider Short-intermediate Mutual Fund to be very steady. Short Intermediate Bond owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.18, which indicates the fund had a 0.18 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Short Intermediate Bond Fund, which you can use to evaluate the volatility of the fund. Please validate Short-intermediate's Risk Adjusted Performance of 0.0661, standard deviation of 0.109, and Downside Deviation of 0.129 to confirm if the risk estimate we provide is consistent with the expected return of 0.0178%. The entity has a beta of 0.0208, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Short-intermediate's returns are expected to increase less than the market. However, during the bear market, the loss of holding Short-intermediate is expected to be smaller as well.
Auto-correlation | 0.24 |
Weak predictability
Short Intermediate Bond Fund has weak predictability. Overlapping area represents the amount of predictability between Short-intermediate time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 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 Short Intermediate Bond price movement. The serial correlation of 0.24 indicates that over 24.0% of current Short-intermediate price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short-intermediate 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.
Short Intermediate Bond 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 Short Intermediate Bond volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Short-intermediate 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 Short Intermediate Bond Fund 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 Short Intermediate Bond Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Short Intermediate Bond price pattern first instead of the macroeconomic environment surrounding Short Intermediate Bond. By analyzing Short-intermediate'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 Short-intermediate'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 Short-intermediate specific price patterns or momentum indicators. Please read more on our technical analysis page.
Short-intermediate February 1, 2026 Technical Indicators
Most technical analysis of Short-intermediate 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 Short-intermediate from various momentum indicators to cycle indicators. When you analyze Short-intermediate 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 | 0.0661 | |||
| Market Risk Adjusted Performance | 0.4161 | |||
| Mean Deviation | 0.0714 | |||
| Downside Deviation | 0.129 | |||
| Coefficient Of Variation | 590.67 | |||
| Standard Deviation | 0.109 | |||
| Variance | 0.0119 | |||
| Information Ratio | (0.24) | |||
| Jensen Alpha | 0.0077 | |||
| Total Risk Alpha | 0.0032 | |||
| Sortino Ratio | (0.21) | |||
| Treynor Ratio | 0.4061 | |||
| Maximum Drawdown | 0.552 | |||
| Value At Risk | (0.11) | |||
| Potential Upside | 0.2215 | |||
| Downside Variance | 0.0166 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.17) | |||
| Skewness | 1.44 | |||
| Kurtosis | 4.09 |
Short-intermediate February 1, 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 Short-intermediate 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 | 9.12 | ||
| Day Typical Price | 9.12 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Short-intermediate Mutual Fund
Short-intermediate financial ratios help investors to determine whether Short-intermediate 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 Short-intermediate with respect to the benefits of owning Short-intermediate security.
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