Dreyfus Short Term Income Fund Technical Analysis
| DSTIX Fund | USD 9.84 0.00 0.00% |
As of the 22nd of February, Dreyfus Short-term shows the Downside Deviation of 0.1073, coefficient of variation of 420.47, and Mean Deviation of 0.068. Dreyfus Short Term technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Dreyfus Short-term Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dreyfus, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DreyfusDreyfus |
Dreyfus Short-term '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 Dreyfus Short-term'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 Dreyfus Short-term.
| 11/24/2025 |
| 02/22/2026 |
If you would invest 0.00 in Dreyfus Short-term on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Dreyfus Short Term Income or generate 0.0% return on investment in Dreyfus Short-term over 90 days. Dreyfus Short-term is related to or competes with Eaton Vance, Eaton Vance, Gabelli Convertible, High-yield Fund, Grandeur Peak, Frontier Mfg, and Grandeur Peak. To pursue its goal, the fund normally invests principally in fixed-income securities of U.S More
Dreyfus Short-term 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 Dreyfus Short-term'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 Dreyfus Short Term Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1073 | |||
| Information Ratio | (0.58) | |||
| Maximum Drawdown | 0.5108 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.2039 |
Dreyfus Short-term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dreyfus Short-term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dreyfus Short-term's standard deviation. In reality, there are many statistical measures that can use Dreyfus Short-term historical prices to predict the future Dreyfus Short-term's volatility.| Risk Adjusted Performance | 0.1136 | |||
| Jensen Alpha | 0.0137 | |||
| Total Risk Alpha | 0.0043 | |||
| Sortino Ratio | (0.53) | |||
| Treynor Ratio | (2.84) |
Dreyfus Short-term February 22, 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 | 0.1136 | |||
| Market Risk Adjusted Performance | (2.83) | |||
| Mean Deviation | 0.068 | |||
| Downside Deviation | 0.1073 | |||
| Coefficient Of Variation | 420.47 | |||
| Standard Deviation | 0.0981 | |||
| Variance | 0.0096 | |||
| Information Ratio | (0.58) | |||
| Jensen Alpha | 0.0137 | |||
| Total Risk Alpha | 0.0043 | |||
| Sortino Ratio | (0.53) | |||
| Treynor Ratio | (2.84) | |||
| Maximum Drawdown | 0.5108 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.2039 | |||
| Downside Variance | 0.0115 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.15) | |||
| Skewness | 1.58 | |||
| Kurtosis | 4.09 |
Dreyfus Short Term Backtested Returns
At this stage we consider Dreyfus Mutual Fund to be very steady. Dreyfus Short Term secures Sharpe Ratio (or Efficiency) of 0.22, which denotes the fund had a 0.22 % return per unit of standard deviation over the last 3 months. We have found twenty-four technical indicators for Dreyfus Short Term Income, which you can use to evaluate the volatility of the entity. Please confirm Dreyfus Short-term's Coefficient Of Variation of 420.47, downside deviation of 0.1073, and Mean Deviation of 0.068 to check if the risk estimate we provide is consistent with the expected return of 0.0219%. The fund shows a Beta (market volatility) of -0.0047, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Dreyfus Short-term are expected to decrease at a much lower rate. During the bear market, Dreyfus Short-term is likely to outperform the market.
Auto-correlation | 0.69 |
Good predictability
Dreyfus Short Term Income has good predictability. Overlapping area represents the amount of predictability between Dreyfus Short-term time series from 24th of November 2025 to 8th of January 2026 and 8th of January 2026 to 22nd 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 Dreyfus Short Term price movement. The serial correlation of 0.69 indicates that around 69.0% of current Dreyfus Short-term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Dreyfus Short-term 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.
Dreyfus Short Term Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. The Normalized Average True Range is used to analyze tradable apportunities for Dreyfus Short Term across different markets.
About Dreyfus Short-term 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 Dreyfus Short Term Income 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 Dreyfus Short Term Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dreyfus Short Term price pattern first instead of the macroeconomic environment surrounding Dreyfus Short Term. By analyzing Dreyfus Short-term'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 Dreyfus Short-term'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 Dreyfus Short-term specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dreyfus Short-term February 22, 2026 Technical Indicators
Most technical analysis of Dreyfus 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 Dreyfus from various momentum indicators to cycle indicators. When you analyze Dreyfus 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 | 0.1136 | |||
| Market Risk Adjusted Performance | (2.83) | |||
| Mean Deviation | 0.068 | |||
| Downside Deviation | 0.1073 | |||
| Coefficient Of Variation | 420.47 | |||
| Standard Deviation | 0.0981 | |||
| Variance | 0.0096 | |||
| Information Ratio | (0.58) | |||
| Jensen Alpha | 0.0137 | |||
| Total Risk Alpha | 0.0043 | |||
| Sortino Ratio | (0.53) | |||
| Treynor Ratio | (2.84) | |||
| Maximum Drawdown | 0.5108 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.2039 | |||
| Downside Variance | 0.0115 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.15) | |||
| Skewness | 1.58 | |||
| Kurtosis | 4.09 |
Dreyfus Short-term February 22, 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 Dreyfus 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.84 | ||
| Day Typical Price | 9.84 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Dreyfus Mutual Fund
Dreyfus Short-term financial ratios help investors to determine whether Dreyfus 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 Dreyfus with respect to the benefits of owning Dreyfus Short-term security.
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