Dreyfus Institutional Sp Fund Technical Analysis
| DSPIX Fund | USD 45.53 0.15 0.33% |
As of the 12th of February 2026, Dreyfus Institutional shows the Downside Deviation of 0.8264, mean deviation of 0.5522, and Semi Deviation of 0.7159. Dreyfus Institutional 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 Institutional 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 Institutional '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 Institutional'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 Institutional.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Dreyfus Institutional on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Dreyfus Institutional Sp or generate 0.0% return on investment in Dreyfus Institutional over 90 days. Dreyfus Institutional is related to or competes with Dreyfusstandish Global, Dreyfusstandish Global, Dreyfus High, Dreyfus High, Dreyfus High, Dreyfus New, and Dreyfus International. To pursue its goal, the fund normally invests at least 95 percent of its total assets in common stocks included in the S... More
Dreyfus Institutional 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 Institutional'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 Institutional Sp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8264 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 3.64 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.17 |
Dreyfus Institutional Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dreyfus Institutional's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dreyfus Institutional's standard deviation. In reality, there are many statistical measures that can use Dreyfus Institutional historical prices to predict the future Dreyfus Institutional's volatility.| Risk Adjusted Performance | 0.0615 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0636 |
Dreyfus Institutional February 12, 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 | 0.0615 | |||
| Market Risk Adjusted Performance | 0.0736 | |||
| Mean Deviation | 0.5522 | |||
| Semi Deviation | 0.7159 | |||
| Downside Deviation | 0.8264 | |||
| Coefficient Of Variation | 1276.25 | |||
| Standard Deviation | 0.7444 | |||
| Variance | 0.5542 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0636 | |||
| Maximum Drawdown | 3.64 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.17 | |||
| Downside Variance | 0.6829 | |||
| Semi Variance | 0.5126 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.8871 |
Dreyfus Institutional Backtested Returns
At this stage we consider Dreyfus Mutual Fund to be very steady. Dreyfus Institutional secures Sharpe Ratio (or Efficiency) of 0.0825, which denotes the fund had a 0.0825 % return per unit of standard deviation over the last 3 months. We have found twenty-six technical indicators for Dreyfus Institutional Sp, which you can use to evaluate the volatility of the entity. Please confirm Dreyfus Institutional's Semi Deviation of 0.7159, mean deviation of 0.5522, and Downside Deviation of 0.8264 to check if the risk estimate we provide is consistent with the expected return of 0.0596%. The fund shows a Beta (market volatility) of 0.76, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dreyfus Institutional's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dreyfus Institutional is expected to be smaller as well.
Auto-correlation | 0.15 |
Insignificant predictability
Dreyfus Institutional Sp has insignificant predictability. Overlapping area represents the amount of predictability between Dreyfus Institutional time series from 14th of November 2025 to 29th of December 2025 and 29th of December 2025 to 12th 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 Institutional price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Dreyfus Institutional price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.22 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
Dreyfus Institutional 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 Institutional Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Dreyfus Institutional across different markets.
About Dreyfus Institutional 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 Institutional Sp 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 Institutional Sp based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dreyfus Institutional price pattern first instead of the macroeconomic environment surrounding Dreyfus Institutional. By analyzing Dreyfus Institutional'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 Institutional'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 Institutional specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dreyfus Institutional February 12, 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 | 0.0615 | |||
| Market Risk Adjusted Performance | 0.0736 | |||
| Mean Deviation | 0.5522 | |||
| Semi Deviation | 0.7159 | |||
| Downside Deviation | 0.8264 | |||
| Coefficient Of Variation | 1276.25 | |||
| Standard Deviation | 0.7444 | |||
| Variance | 0.5542 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0636 | |||
| Maximum Drawdown | 3.64 | |||
| Value At Risk | (1.24) | |||
| Potential Upside | 1.17 | |||
| Downside Variance | 0.6829 | |||
| Semi Variance | 0.5126 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.32) | |||
| Kurtosis | 0.8871 |
Dreyfus Institutional February 12, 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 | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 45.53 | ||
| Day Typical Price | 45.53 | ||
| Price Action Indicator | (0.07) |
Other Information on Investing in Dreyfus Mutual Fund
Dreyfus Institutional 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 Institutional security.
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
| Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance |