Dws Communications Fund Technical Analysis
| COMSX Fund | 26.80 0.08 0.30% |
As of the 18th of February 2026, Dws Communications shows the Standard Deviation of 1.2, mean deviation of 0.9196, and Variance of 1.43. Dws Communications 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.
Dws Communications Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dws, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DwsDws |
Dws Communications '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 Dws Communications' 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 Dws Communications.
| 11/20/2025 |
| 02/18/2026 |
If you would invest 0.00 in Dws Communications on November 20, 2025 and sell it all today you would earn a total of 0.00 from holding Dws Communications or generate 0.0% return on investment in Dws Communications over 90 days. Dws Communications is related to or competes with Deutsche Gnma, Deutsche Short, Deutsche Short, Deutsche Science, Deutsche Science, Deutsche Science, and Deutsche Short. The fund invests at least 80 percent of net assets, plus the amount of any borrowings for investment purposes in common ... More
Dws Communications 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 Dws Communications' 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 Dws Communications upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 5.02 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 1.53 |
Dws Communications Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dws Communications' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dws Communications' standard deviation. In reality, there are many statistical measures that can use Dws Communications historical prices to predict the future Dws Communications' volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 5.52 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dws Communications' 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.
Dws Communications February 18, 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 | (0.15) | |||
| Market Risk Adjusted Performance | 5.53 | |||
| Mean Deviation | 0.9196 | |||
| Coefficient Of Variation | (535.65) | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.43 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 5.52 | |||
| Maximum Drawdown | 5.02 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 1.53 | |||
| Skewness | (0.49) | |||
| Kurtosis | 0.1007 |
Dws Communications Backtested Returns
Dws Communications secures Sharpe Ratio (or Efficiency) of -0.0862, which denotes the fund had a -0.0862 % return per unit of risk over the last 3 months. Dws Communications exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Dws Communications' Mean Deviation of 0.9196, variance of 1.43, and Standard Deviation of 1.2 to check the risk estimate we provide. The fund shows a Beta (market volatility) of -0.0423, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Dws Communications are expected to decrease at a much lower rate. During the bear market, Dws Communications is likely to outperform the market.
Auto-correlation | -0.26 |
Weak reverse predictability
Dws Communications has weak reverse predictability. Overlapping area represents the amount of predictability between Dws Communications time series from 20th of November 2025 to 4th of January 2026 and 4th of January 2026 to 18th 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 Dws Communications price movement. The serial correlation of -0.26 indicates that nearly 26.0% of current Dws Communications price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.26 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 1.24 |
Dws Communications 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.
Dws Communications 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 Dws Communications volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Dws Communications 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 Dws Communications 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 Dws Communications based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dws Communications price pattern first instead of the macroeconomic environment surrounding Dws Communications. By analyzing Dws Communications'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 Dws Communications'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 Dws Communications specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dws Communications February 18, 2026 Technical Indicators
Most technical analysis of Dws 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 Dws from various momentum indicators to cycle indicators. When you analyze Dws 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 | (0.15) | |||
| Market Risk Adjusted Performance | 5.53 | |||
| Mean Deviation | 0.9196 | |||
| Coefficient Of Variation | (535.65) | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.43 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.23) | |||
| Total Risk Alpha | (0.30) | |||
| Treynor Ratio | 5.52 | |||
| Maximum Drawdown | 5.02 | |||
| Value At Risk | (2.72) | |||
| Potential Upside | 1.53 | |||
| Skewness | (0.49) | |||
| Kurtosis | 0.1007 |
Dws Communications February 18, 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 Dws 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 | 26.80 | ||
| Day Typical Price | 26.80 | ||
| Price Action Indicator | 0.04 |
Other Information on Investing in Dws Mutual Fund
Dws Communications financial ratios help investors to determine whether Dws 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 Dws with respect to the benefits of owning Dws Communications security.
| Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |