Data#3 (Germany) Technical Analysis
| 20Y Stock | EUR 5.50 0.10 1.79% |
As of the 24th of January, Data#3 shows the Downside Deviation of 2.37, mean deviation of 1.38, and Coefficient Of Variation of 841.7. Data3 Limited 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 Data3 Limited standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if Data3 Limited is priced favorably, providing market reflects its regular price of 5.5 per share.
Data#3 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Data#3, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Data#3Data#3 |
Data#3 '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 Data#3's stock 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 Data#3.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Data#3 on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Data3 Limited or generate 0.0% return on investment in Data#3 over 90 days. Data#3 is related to or competes with BOSTON BEER, NEW MILLENNIUM, Mount Gibson, MAANSHAN IRON, and KOBE STEEL. Data3 Limited, together with its subsidiaries, provides information technology solutions and services in Australia and F... More
Data#3 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 Data#3's stock 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 Data3 Limited upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.37 | |||
| Information Ratio | 0.0773 | |||
| Maximum Drawdown | 11.09 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 2.88 |
Data#3 Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Data#3's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data#3's standard deviation. In reality, there are many statistical measures that can use Data#3 historical prices to predict the future Data#3's volatility.| Risk Adjusted Performance | 0.0931 | |||
| Jensen Alpha | 0.2014 | |||
| Total Risk Alpha | 0.038 | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 1.15 |
Data#3 January 24, 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 | 0.0931 | |||
| Market Risk Adjusted Performance | 1.16 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.91 | |||
| Downside Deviation | 2.37 | |||
| Coefficient Of Variation | 841.7 | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.56 | |||
| Information Ratio | 0.0773 | |||
| Jensen Alpha | 0.2014 | |||
| Total Risk Alpha | 0.038 | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 1.15 | |||
| Maximum Drawdown | 11.09 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 2.88 | |||
| Downside Variance | 5.62 | |||
| Semi Variance | 3.65 | |||
| Expected Short fall | (1.49) | |||
| Skewness | (0.59) | |||
| Kurtosis | 3.47 |
Data3 Limited Backtested Returns
At this point, Data#3 is somewhat reliable. Data3 Limited secures Sharpe Ratio (or Efficiency) of 0.0918, which denotes the company had a 0.0918 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Data3 Limited, which you can use to evaluate the volatility of the firm. Please confirm Data#3's Mean Deviation of 1.38, coefficient of variation of 841.7, and Downside Deviation of 2.37 to check if the risk estimate we provide is consistent with the expected return of 0.18%. Data#3 has a performance score of 7 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.19, which means not very significant fluctuations relative to the market. As returns on the market increase, Data#3's returns are expected to increase less than the market. However, during the bear market, the loss of holding Data#3 is expected to be smaller as well. Data3 Limited right now shows a risk of 1.93%. Please confirm Data3 Limited total risk alpha, treynor ratio, and the relationship between the jensen alpha and sortino ratio , to decide if Data3 Limited will be following its price patterns.
Auto-correlation | 0.11 |
Insignificant predictability
Data3 Limited has insignificant predictability. Overlapping area represents the amount of predictability between Data#3 time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th 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 Data3 Limited price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Data#3 price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Data#3 technical stock 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, stock market cycles, or different charting patterns.
Data3 Limited Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Data3 Limited volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Data#3 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 Data3 Limited 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 Data3 Limited based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Data3 Limited price pattern first instead of the macroeconomic environment surrounding Data3 Limited. By analyzing Data#3'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 Data#3'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 Data#3 specific price patterns or momentum indicators. Please read more on our technical analysis page.
Data#3 January 24, 2026 Technical Indicators
Most technical analysis of Data#3 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 Data#3 from various momentum indicators to cycle indicators. When you analyze Data#3 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 | 0.0931 | |||
| Market Risk Adjusted Performance | 1.16 | |||
| Mean Deviation | 1.38 | |||
| Semi Deviation | 1.91 | |||
| Downside Deviation | 2.37 | |||
| Coefficient Of Variation | 841.7 | |||
| Standard Deviation | 1.89 | |||
| Variance | 3.56 | |||
| Information Ratio | 0.0773 | |||
| Jensen Alpha | 0.2014 | |||
| Total Risk Alpha | 0.038 | |||
| Sortino Ratio | 0.0615 | |||
| Treynor Ratio | 1.15 | |||
| Maximum Drawdown | 11.09 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 2.88 | |||
| Downside Variance | 5.62 | |||
| Semi Variance | 3.65 | |||
| Expected Short fall | (1.49) | |||
| Skewness | (0.59) | |||
| Kurtosis | 3.47 |
Data#3 January 24, 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 Data#3 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 | 5.50 | ||
| Day Typical Price | 5.50 | ||
| Price Action Indicator | (0.05) |
Complementary Tools for Data#3 Stock analysis
When running Data#3's price analysis, check to measure Data#3'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 Data#3 is operating at the current time. Most of Data#3's value examination focuses on studying past and present price action to predict the probability of Data#3's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data#3's price. Additionally, you may evaluate how the addition of Data#3 to your portfolios can decrease your overall portfolio volatility.
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