Deutsche Science And Fund Technical Analysis
| KTCSX Fund | USD 44.41 0.91 2.01% |
As of the 12th of February 2026, Deutsche Science shows the Downside Deviation of 1.8, mean deviation of 1.16, and Coefficient Of Variation of 1560.76. Deutsche Science And 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.
Deutsche Science Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Deutsche, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DeutscheDeutsche |
Deutsche Science '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 Deutsche Science'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 Deutsche Science.
| 11/14/2025 |
| 02/12/2026 |
If you would invest 0.00 in Deutsche Science on November 14, 2025 and sell it all today you would earn a total of 0.00 from holding Deutsche Science And or generate 0.0% return on investment in Deutsche Science over 90 days. Deutsche Science is related to or competes with Oil Gas, Firsthand Alternative, World Energy, Shelton Green, and Energy Fund. Under normal circumstances, the fund invests at least 80 percent of its net assets, plus the amount of any borrowings fo... More
Deutsche Science 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 Deutsche Science'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 Deutsche Science And upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.8 | |||
| Information Ratio | 0.0171 | |||
| Maximum Drawdown | 11.02 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 2.09 |
Deutsche Science Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Science's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Science's standard deviation. In reality, there are many statistical measures that can use Deutsche Science historical prices to predict the future Deutsche Science's volatility.| Risk Adjusted Performance | 0.0573 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0163 | |||
| Treynor Ratio | 0.0953 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Science'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.
Deutsche Science 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 | 0.0573 | |||
| Market Risk Adjusted Performance | 0.1053 | |||
| Mean Deviation | 1.16 | |||
| Semi Deviation | 1.69 | |||
| Downside Deviation | 1.8 | |||
| Coefficient Of Variation | 1560.76 | |||
| Standard Deviation | 1.72 | |||
| Variance | 2.96 | |||
| Information Ratio | 0.0171 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0163 | |||
| Treynor Ratio | 0.0953 | |||
| Maximum Drawdown | 11.02 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 2.09 | |||
| Downside Variance | 3.25 | |||
| Semi Variance | 2.86 | |||
| Expected Short fall | (1.04) | |||
| Skewness | 1.2 | |||
| Kurtosis | 5.59 |
Deutsche Science And Backtested Returns
At this stage we consider Deutsche Mutual Fund to be very steady. Deutsche Science And secures Sharpe Ratio (or Efficiency) of 0.0641, which denotes the fund had a 0.0641 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Deutsche Science And, which you can use to evaluate the volatility of the entity. Please confirm Deutsche Science's Coefficient Of Variation of 1560.76, mean deviation of 1.16, and Downside Deviation of 1.8 to check if the risk estimate we provide is consistent with the expected return of 0.11%. The fund shows a Beta (market volatility) of 1.05, which means a somewhat significant risk relative to the market. Deutsche Science returns are very sensitive to returns on the market. As the market goes up or down, Deutsche Science is expected to follow.
Auto-correlation | -0.47 |
Modest reverse predictability
Deutsche Science And has modest reverse predictability. Overlapping area represents the amount of predictability between Deutsche Science 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 Deutsche Science And price movement. The serial correlation of -0.47 indicates that about 47.0% of current Deutsche Science price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.47 | |
| Spearman Rank Test | -0.55 | |
| Residual Average | 0.0 | |
| Price Variance | 1.03 |
Deutsche Science 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.
Deutsche Science And 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 Deutsche Science And across different markets.
About Deutsche Science 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 Deutsche Science And 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 Deutsche Science And based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Deutsche Science And price pattern first instead of the macroeconomic environment surrounding Deutsche Science And. By analyzing Deutsche Science'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 Deutsche Science'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 Deutsche Science specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Science February 12, 2026 Technical Indicators
Most technical analysis of Deutsche 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 Deutsche from various momentum indicators to cycle indicators. When you analyze Deutsche 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 | 0.0573 | |||
| Market Risk Adjusted Performance | 0.1053 | |||
| Mean Deviation | 1.16 | |||
| Semi Deviation | 1.69 | |||
| Downside Deviation | 1.8 | |||
| Coefficient Of Variation | 1560.76 | |||
| Standard Deviation | 1.72 | |||
| Variance | 2.96 | |||
| Information Ratio | 0.0171 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | 0.0163 | |||
| Treynor Ratio | 0.0953 | |||
| Maximum Drawdown | 11.02 | |||
| Value At Risk | (2.63) | |||
| Potential Upside | 2.09 | |||
| Downside Variance | 3.25 | |||
| Semi Variance | 2.86 | |||
| Expected Short fall | (1.04) | |||
| Skewness | 1.2 | |||
| Kurtosis | 5.59 |
Deutsche Science 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 Deutsche 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 | 0.98 | ||
| Day Median Price | 44.41 | ||
| Day Typical Price | 44.41 | ||
| Price Action Indicator | (0.46) |
Other Information on Investing in Deutsche Mutual Fund
Deutsche Science financial ratios help investors to determine whether Deutsche 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 Deutsche with respect to the benefits of owning Deutsche Science security.
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