Dicker Data (Australia) Technical Analysis
| DDR Stock | 8.60 0.05 0.58% |
As of the 1st of February, Dicker Data shows the Semi Deviation of 1.42, mean deviation of 1.04, and Downside Deviation of 1.49. Dicker Data 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.
Dicker Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dicker, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DickerDicker |
Dicker Data 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.
Dicker Data 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 Dicker Data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Dicker Data Trend Analysis
Use this graph to draw trend lines for Dicker Data. You can use it to identify possible trend reversals for Dicker Data 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 Dicker Data price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Dicker Data Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Dicker Data applied against its price change over selected period. The best fit line has a slop of 0.0037 , which may suggest that Dicker Data market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.51, which is the sum of squared deviations for the predicted Dicker Data price change compared to its average price change.About Dicker Data 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 Dicker Data 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 Dicker Data based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Dicker Data price pattern first instead of the macroeconomic environment surrounding Dicker Data. By analyzing Dicker Data'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 Dicker Data'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 Dicker Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dicker Data February 1, 2025 Technical Indicators
Most technical analysis of Dicker 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 Dicker from various momentum indicators to cycle indicators. When you analyze Dicker 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 | 0.0106 | |||
| Market Risk Adjusted Performance | 0.0147 | |||
| Mean Deviation | 1.04 | |||
| Semi Deviation | 1.42 | |||
| Downside Deviation | 1.49 | |||
| Coefficient Of Variation | 12449.9 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.85 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0047 | |||
| Maximum Drawdown | 7.07 | |||
| Value At Risk | (2.08) | |||
| Potential Upside | 1.93 | |||
| Downside Variance | 2.23 | |||
| Semi Variance | 2.02 | |||
| Expected Short fall | (1.08) | |||
| Skewness | (0.53) | |||
| Kurtosis | 0.8691 |
Additional Tools for Dicker Stock Analysis
When running Dicker Data's price analysis, check to measure Dicker Data'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 Dicker Data is operating at the current time. Most of Dicker Data's value examination focuses on studying past and present price action to predict the probability of Dicker Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Dicker Data's price. Additionally, you may evaluate how the addition of Dicker Data to your portfolios can decrease your overall portfolio volatility.