Deutsche Small Cap Fund Technical Analysis
| SSDCX Fund | USD 25.22 0.25 0.98% |
As of the 31st of January, Deutsche Small shows the Downside Deviation of 1.3, coefficient of variation of 993.15, and Mean Deviation of 0.9421. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Deutsche Small, as well as the relationship between them.
Deutsche Small 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 Small '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 Small'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 Small.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Deutsche Small on November 2, 2025 and sell it all today you would earn a total of 0.00 from holding Deutsche Small Cap or generate 0.0% return on investment in Deutsche Small over 90 days. Deutsche Small is related to or competes with Qs Moderate, Auer Growth, Champlain Mid, Pace Large, and Rbc Smid. The fund invests at least 80 percent of its assets, determined at the time of purchase, in stocks and other securities w... More
Deutsche Small 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 Small'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 Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.3 | |||
| Information Ratio | 0.0594 | |||
| Maximum Drawdown | 9.44 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 1.83 |
Deutsche Small Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Small's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Small's standard deviation. In reality, there are many statistical measures that can use Deutsche Small historical prices to predict the future Deutsche Small's volatility.| Risk Adjusted Performance | 0.0782 | |||
| Jensen Alpha | 0.0698 | |||
| Total Risk Alpha | 0.0346 | |||
| Sortino Ratio | 0.0681 | |||
| Treynor Ratio | 0.1026 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Small'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 Small January 31, 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 | 0.0782 | |||
| Market Risk Adjusted Performance | 0.1126 | |||
| Mean Deviation | 0.9421 | |||
| Semi Deviation | 1.06 | |||
| Downside Deviation | 1.3 | |||
| Coefficient Of Variation | 993.15 | |||
| Standard Deviation | 1.49 | |||
| Variance | 2.21 | |||
| Information Ratio | 0.0594 | |||
| Jensen Alpha | 0.0698 | |||
| Total Risk Alpha | 0.0346 | |||
| Sortino Ratio | 0.0681 | |||
| Treynor Ratio | 0.1026 | |||
| Maximum Drawdown | 9.44 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 1.83 | |||
| Downside Variance | 1.68 | |||
| Semi Variance | 1.12 | |||
| Expected Short fall | (1.12) | |||
| Skewness | 1.57 | |||
| Kurtosis | 10.78 |
Deutsche Small Cap Backtested Returns
Deutsche Small appears to be somewhat reliable, given 3 months investment horizon. Deutsche Small Cap secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the fund had a 0.16 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Deutsche Small Cap, which you can use to evaluate the volatility of the entity. Please utilize Deutsche Small's Downside Deviation of 1.3, mean deviation of 0.9421, and Coefficient Of Variation of 993.15 to check if our risk estimates are consistent with your expectations. The fund shows a Beta (market volatility) of 1.36, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Deutsche Small will likely underperform.
Auto-correlation | 0.51 |
Modest predictability
Deutsche Small Cap has modest predictability. Overlapping area represents the amount of predictability between Deutsche Small time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st of January 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 Small Cap price movement. The serial correlation of 0.51 indicates that about 51.0% of current Deutsche Small price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.51 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.42 |
Deutsche Small 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 Small Cap Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Small Cap volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Deutsche Small 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 Small Cap 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 Small Cap based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Deutsche Small Cap price pattern first instead of the macroeconomic environment surrounding Deutsche Small Cap. By analyzing Deutsche Small'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 Small'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 Small specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Small January 31, 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 | 0.0782 | |||
| Market Risk Adjusted Performance | 0.1126 | |||
| Mean Deviation | 0.9421 | |||
| Semi Deviation | 1.06 | |||
| Downside Deviation | 1.3 | |||
| Coefficient Of Variation | 993.15 | |||
| Standard Deviation | 1.49 | |||
| Variance | 2.21 | |||
| Information Ratio | 0.0594 | |||
| Jensen Alpha | 0.0698 | |||
| Total Risk Alpha | 0.0346 | |||
| Sortino Ratio | 0.0681 | |||
| Treynor Ratio | 0.1026 | |||
| Maximum Drawdown | 9.44 | |||
| Value At Risk | (1.60) | |||
| Potential Upside | 1.83 | |||
| Downside Variance | 1.68 | |||
| Semi Variance | 1.12 | |||
| Expected Short fall | (1.12) | |||
| Skewness | 1.57 | |||
| Kurtosis | 10.78 |
Deutsche Small January 31, 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 | 0.99 | ||
| Day Median Price | 25.22 | ||
| Day Typical Price | 25.22 | ||
| Price Action Indicator | (0.12) |
Other Information on Investing in Deutsche Mutual Fund
Deutsche Small 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 Small security.
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