Deutsche Real Assets Fund Technical Analysis
As of the 17th of February 2026, Deutsche Real shows the Downside Deviation of 0.7392, mean deviation of 0.4983, and Coefficient Of Variation of 288.37. Deutsche Real Assets 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 Real 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 Real '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 Real'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 Real.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Deutsche Real on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Deutsche Real Assets or generate 0.0% return on investment in Deutsche Real over 90 days. Deutsche Real is related to or competes with T Rowe, T Rowe, John Hancock, Vanguard Target, T Rowe, and T Rowe. The investment seeks total return in excess of inflation through capital growth and current income More
Deutsche Real 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 Real'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 Real Assets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7392 | |||
| Information Ratio | 0.2383 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 1.19 |
Deutsche Real Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Real's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Real's standard deviation. In reality, there are many statistical measures that can use Deutsche Real historical prices to predict the future Deutsche Real's volatility.| Risk Adjusted Performance | 0.2773 | |||
| Jensen Alpha | 0.2135 | |||
| Total Risk Alpha | 0.1658 | |||
| Sortino Ratio | 0.208 | |||
| Treynor Ratio | 97.12 |
Deutsche Real February 17, 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 | 0.2773 | |||
| Market Risk Adjusted Performance | 97.13 | |||
| Mean Deviation | 0.4983 | |||
| Semi Deviation | 0.4089 | |||
| Downside Deviation | 0.7392 | |||
| Coefficient Of Variation | 288.37 | |||
| Standard Deviation | 0.645 | |||
| Variance | 0.416 | |||
| Information Ratio | 0.2383 | |||
| Jensen Alpha | 0.2135 | |||
| Total Risk Alpha | 0.1658 | |||
| Sortino Ratio | 0.208 | |||
| Treynor Ratio | 97.12 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 1.19 | |||
| Downside Variance | 0.5464 | |||
| Semi Variance | 0.1672 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.55) | |||
| Kurtosis | 0.6819 |
Deutsche Real Assets Backtested Returns
Deutsche Real appears to be very steady, given 3 months investment horizon. Deutsche Real Assets secures Sharpe Ratio (or Efficiency) of 0.35, which denotes the fund had a 0.35 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Deutsche Real Assets, which you can use to evaluate the volatility of the entity. Please utilize Deutsche Real's Mean Deviation of 0.4983, downside deviation of 0.7392, and Coefficient Of Variation of 288.37 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 0.0022, which means not very significant fluctuations relative to the market. As returns on the market increase, Deutsche Real's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deutsche Real is expected to be smaller as well.
Auto-correlation | 0.72 |
Good predictability
Deutsche Real Assets has good predictability. Overlapping area represents the amount of predictability between Deutsche Real time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Real Assets price movement. The serial correlation of 0.72 indicates that around 72.0% of current Deutsche Real price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.72 | |
| Spearman Rank Test | 0.63 | |
| Residual Average | 0.0 | |
| Price Variance | 0.17 |
Deutsche Real 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 Real Assets Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. 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 Deutsche Real Assets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Deutsche Real 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 Real Assets 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 Real Assets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Deutsche Real Assets price pattern first instead of the macroeconomic environment surrounding Deutsche Real Assets. By analyzing Deutsche Real'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 Real'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 Real specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Real February 17, 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 | 0.2773 | |||
| Market Risk Adjusted Performance | 97.13 | |||
| Mean Deviation | 0.4983 | |||
| Semi Deviation | 0.4089 | |||
| Downside Deviation | 0.7392 | |||
| Coefficient Of Variation | 288.37 | |||
| Standard Deviation | 0.645 | |||
| Variance | 0.416 | |||
| Information Ratio | 0.2383 | |||
| Jensen Alpha | 0.2135 | |||
| Total Risk Alpha | 0.1658 | |||
| Sortino Ratio | 0.208 | |||
| Treynor Ratio | 97.12 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.79) | |||
| Potential Upside | 1.19 | |||
| Downside Variance | 0.5464 | |||
| Semi Variance | 0.1672 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.55) | |||
| Kurtosis | 0.6819 |
Deutsche Real February 17, 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 | 1.01 | ||
| Day Median Price | 14.15 | ||
| Day Typical Price | 14.15 | ||
| Price Action Indicator | 0.08 |
Other Information on Investing in Deutsche Mutual Fund
Deutsche Real 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 Real security.
| Equity Valuation Check real value of public entities based on technical and fundamental data | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated |