Datagroup (UK) Technical Analysis
| 0W19 Stock | 46.60 0.45 0.96% |
As of the 11th of December 2024, Datagroup shows the Downside Deviation of 1.95, mean deviation of 1.64, and Coefficient Of Variation of 863.66. Datagroup SE 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 Datagroup SE standard deviation, information ratio, treynor ratio, as well as the relationship between the variance and jensen alpha to decide if Datagroup SE is priced favorably, providing market reflects its regular price of 46.6 per share.
Datagroup Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Datagroup, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DatagroupDatagroup |
Datagroup 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.
Datagroup SE 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 Datagroup SE volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Datagroup SE Trend Analysis
Use this graph to draw trend lines for Datagroup SE. You can use it to identify possible trend reversals for Datagroup as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Datagroup price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Datagroup Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Datagroup SE applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Datagroup SE will continue generating value for investors. It has 122 observation points and a regression sum of squares at 137.63, which is the sum of squared deviations for the predicted Datagroup price change compared to its average price change.About Datagroup 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 Datagroup SE 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 Datagroup SE based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Datagroup SE price pattern first instead of the macroeconomic environment surrounding Datagroup SE. By analyzing Datagroup'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 Datagroup'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 Datagroup specific price patterns or momentum indicators. Please read more on our technical analysis page.
Datagroup December 11, 2024 Technical Indicators
Most technical analysis of Datagroup 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 Datagroup from various momentum indicators to cycle indicators. When you analyze Datagroup 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 | 0.0907 | |||
| Market Risk Adjusted Performance | (2.00) | |||
| Mean Deviation | 1.64 | |||
| Semi Deviation | 1.59 | |||
| Downside Deviation | 1.95 | |||
| Coefficient Of Variation | 863.66 | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.88 | |||
| Information Ratio | 0.0645 | |||
| Jensen Alpha | 0.2862 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0802 | |||
| Treynor Ratio | (2.01) | |||
| Maximum Drawdown | 13.9 | |||
| Value At Risk | (3.25) | |||
| Potential Upside | 3.83 | |||
| Downside Variance | 3.8 | |||
| Semi Variance | 2.52 | |||
| Expected Short fall | (1.90) | |||
| Skewness | 1.94 | |||
| Kurtosis | 9.24 |
Datagroup December 11, 2024 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 Datagroup 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 | 2.41 | ||
| Daily Balance Of Power | (0.47) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 46.48 | ||
| Day Typical Price | 46.52 | ||
| Price Action Indicator | (0.10) | ||
| Market Facilitation Index | 0.01 |
Additional Tools for Datagroup Stock Analysis
When running Datagroup's price analysis, check to measure Datagroup'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 Datagroup is operating at the current time. Most of Datagroup's value examination focuses on studying past and present price action to predict the probability of Datagroup's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datagroup's price. Additionally, you may evaluate how the addition of Datagroup to your portfolios can decrease your overall portfolio volatility.