Deutsche Post Ag Stock Technical Analysis
| DPSTF Stock | USD 54.70 0.97 1.81% |
As of the 2nd of February, Deutsche Post shows the Mean Deviation of 1.26, coefficient of variation of 587.2, and Downside Deviation of 2.73. Deutsche Post AG technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Deutsche Post AG variance, value at risk, as well as the relationship between the Value At Risk and skewness to decide if Deutsche Post AG is priced favorably, providing market reflects its regular price of 54.7 per share. Given that Deutsche Post has jensen alpha of 0.3128, we urge you to verify Deutsche Post AG's prevailing market performance to make sure the company can sustain itself at a future point.
Deutsche Post 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 Post '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 Post's pink sheet 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 Post.
| 11/04/2025 |
| 02/02/2026 |
If you would invest 0.00 in Deutsche Post on November 4, 2025 and sell it all today you would earn a total of 0.00 from holding Deutsche Post AG or generate 0.0% return on investment in Deutsche Post over 90 days. Deutsche Post is related to or competes with DSV Panalpina, DSV Panalpina, Volvo AB, Volvo AB, CITIC, Compagnie, and Compagnie. Deutsche Post AG operates as a mail and logistics company in Germany, rest of Europe, the Americas, the Asia Pacific, th... More
Deutsche Post 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 Post's pink sheet 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 Post AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.73 | |||
| Information Ratio | 0.143 | |||
| Maximum Drawdown | 15.19 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 3.38 |
Deutsche Post Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deutsche Post's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deutsche Post's standard deviation. In reality, there are many statistical measures that can use Deutsche Post historical prices to predict the future Deutsche Post's volatility.| Risk Adjusted Performance | 0.1312 | |||
| Jensen Alpha | 0.3128 | |||
| Total Risk Alpha | 0.2103 | |||
| Sortino Ratio | 0.107 | |||
| Treynor Ratio | 0.6201 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deutsche Post'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 Post February 2, 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 | 0.1312 | |||
| Market Risk Adjusted Performance | 0.6301 | |||
| Mean Deviation | 1.26 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 2.73 | |||
| Coefficient Of Variation | 587.2 | |||
| Standard Deviation | 2.04 | |||
| Variance | 4.17 | |||
| Information Ratio | 0.143 | |||
| Jensen Alpha | 0.3128 | |||
| Total Risk Alpha | 0.2103 | |||
| Sortino Ratio | 0.107 | |||
| Treynor Ratio | 0.6201 | |||
| Maximum Drawdown | 15.19 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 3.38 | |||
| Downside Variance | 7.45 | |||
| Semi Variance | 1.75 | |||
| Expected Short fall | (2.10) | |||
| Skewness | 0.8728 | |||
| Kurtosis | 6.21 |
Deutsche Post AG Backtested Returns
Deutsche Post appears to be not too volatile, given 3 months investment horizon. Deutsche Post AG secures Sharpe Ratio (or Efficiency) of 0.17, which denotes the company had a 0.17 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Deutsche Post AG, which you can use to evaluate the volatility of the firm. Please utilize Deutsche Post's Coefficient Of Variation of 587.2, mean deviation of 1.26, and Downside Deviation of 2.73 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Deutsche Post holds a performance score of 13. The firm shows a Beta (market volatility) of 0.54, which means possible diversification benefits within a given portfolio. As returns on the market increase, Deutsche Post's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deutsche Post is expected to be smaller as well. Please check Deutsche Post's value at risk, as well as the relationship between the skewness and day typical price , to make a quick decision on whether Deutsche Post's price patterns will revert.
Auto-correlation | -0.24 |
Weak reverse predictability
Deutsche Post AG has weak reverse predictability. Overlapping area represents the amount of predictability between Deutsche Post time series from 4th of November 2025 to 19th of December 2025 and 19th of December 2025 to 2nd 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 Post AG price movement. The serial correlation of -0.24 indicates that over 24.0% of current Deutsche Post price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 1.05 |
Deutsche Post technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Deutsche Post AG Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Deutsche Post AG across different markets.
About Deutsche Post 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 Post AG 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 Post AG based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Deutsche Post AG price pattern first instead of the macroeconomic environment surrounding Deutsche Post AG. By analyzing Deutsche Post'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 Post'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 Post specific price patterns or momentum indicators. Please read more on our technical analysis page.
Deutsche Post February 2, 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 | 0.1312 | |||
| Market Risk Adjusted Performance | 0.6301 | |||
| Mean Deviation | 1.26 | |||
| Semi Deviation | 1.32 | |||
| Downside Deviation | 2.73 | |||
| Coefficient Of Variation | 587.2 | |||
| Standard Deviation | 2.04 | |||
| Variance | 4.17 | |||
| Information Ratio | 0.143 | |||
| Jensen Alpha | 0.3128 | |||
| Total Risk Alpha | 0.2103 | |||
| Sortino Ratio | 0.107 | |||
| Treynor Ratio | 0.6201 | |||
| Maximum Drawdown | 15.19 | |||
| Value At Risk | (2.31) | |||
| Potential Upside | 3.38 | |||
| Downside Variance | 7.45 | |||
| Semi Variance | 1.75 | |||
| Expected Short fall | (2.10) | |||
| Skewness | 0.8728 | |||
| Kurtosis | 6.21 |
Deutsche Post February 2, 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 | 1.02 | ||
| Day Median Price | 54.70 | ||
| Day Typical Price | 54.70 | ||
| Price Action Indicator | 0.49 |
Complementary Tools for Deutsche Pink Sheet analysis
When running Deutsche Post's price analysis, check to measure Deutsche Post's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Deutsche Post is operating at the current time. Most of Deutsche Post's value examination focuses on studying past and present price action to predict the probability of Deutsche Post's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deutsche Post's price. Additionally, you may evaluate how the addition of Deutsche Post to your portfolios can decrease your overall portfolio volatility.
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