Dicker Data (Australia) Technical Analysis
| DDR Stock | 10.27 0.01 0.1% |
As of the 28th of January, Dicker Data shows the Mean Deviation of 1.03, coefficient of variation of (20,946), and Standard Deviation of 1.39. 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 '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 Dicker Data'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 Dicker Data.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Dicker Data on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Dicker Data or generate 0.0% return on investment in Dicker Data over 90 days. Dicker Data is related to or competes with Macquarie Technology, Ainsworth Game, Avita Medical, Homeco Daily, Ras Technology, and Medical Developments. Dicker Data is entity of Australia. It is traded as Stock on AU exchange. More
Dicker Data 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 Dicker Data'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 Dicker Data upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 7.53 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 2.03 |
Dicker Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dicker Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dicker Data's standard deviation. In reality, there are many statistical measures that can use Dicker Data historical prices to predict the future Dicker Data's volatility.| Risk Adjusted Performance | 0.0012 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 0.2793 |
Dicker Data January 28, 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 | 0.0012 | |||
| Market Risk Adjusted Performance | 0.2893 | |||
| Mean Deviation | 1.03 | |||
| Coefficient Of Variation | (20,946) | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.92 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 0.2793 | |||
| Maximum Drawdown | 7.53 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 2.03 | |||
| Skewness | (0.60) | |||
| Kurtosis | 2.55 |
Dicker Data Backtested Returns
Currently, Dicker Data is not too volatile. Dicker Data secures Sharpe Ratio (or Efficiency) of close to zero, which denotes the company had a close to zero % return per unit of standard deviation over the last 3 months. We have found twenty-three technical indicators for Dicker Data, which you can use to evaluate the volatility of the firm. Please confirm Dicker Data's Coefficient Of Variation of (20,946), standard deviation of 1.39, and Mean Deviation of 1.03 to check if the risk estimate we provide is consistent with the expected return of 4.0E-4%. The firm shows a Beta (market volatility) of -0.0595, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Dicker Data are expected to decrease at a much lower rate. During the bear market, Dicker Data is likely to outperform the market. Dicker Data right now shows a risk of 1.43%. Please confirm Dicker Data mean deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to decide if Dicker Data will be following its price patterns.
Auto-correlation | 0.46 |
Average predictability
Dicker Data has average predictability. Overlapping area represents the amount of predictability between Dicker Data time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th 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 Dicker Data price movement. The serial correlation of 0.46 indicates that about 46.0% of current Dicker Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.46 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
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 twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Dicker Data across different markets.
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 January 28, 2026 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 | 0.0012 | |||
| Market Risk Adjusted Performance | 0.2893 | |||
| Mean Deviation | 1.03 | |||
| Coefficient Of Variation | (20,946) | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.92 | |||
| Information Ratio | (0.06) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.15) | |||
| Treynor Ratio | 0.2793 | |||
| Maximum Drawdown | 7.53 | |||
| Value At Risk | (1.97) | |||
| Potential Upside | 2.03 | |||
| Skewness | (0.60) | |||
| Kurtosis | 2.55 |
Dicker Data January 28, 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 Dicker 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 | 4,175 | ||
| Daily Balance Of Power | (0.06) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 10.25 | ||
| Day Typical Price | 10.25 | ||
| Price Action Indicator | 0.02 |
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.