Dicker Data (Australia) Probability of Future Stock Price Finishing Under 4.13
| DDR Stock | 8.56 0.06 0.71% |
Dicker |
Dicker Data Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Dicker Data for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Dicker Data can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Dicker Data generated a negative expected return over the last 90 days | |
| About 55.0% of the company shares are held by company insiders |
Dicker Data Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Dicker Stock often depends not only on the future outlook of the current and potential Dicker Data's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Dicker Data's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 180.2 M | |
| Cash And Short Term Investments | 11.6 M |
Dicker Data Technical Analysis
Dicker Data's future price can be derived by breaking down and analyzing its technical indicators over time. Dicker Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Dicker Data. In general, you should focus on analyzing Dicker Stock price patterns and their correlations with different microeconomic environments and drivers.
Dicker Data Predictive Forecast Models
Dicker Data's time-series forecasting models is one of many Dicker Data's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Dicker Data's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about Dicker Data
Checking the ongoing alerts about Dicker Data for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Dicker Data help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Dicker Data generated a negative expected return over the last 90 days | |
| About 55.0% of the company shares are held by company insiders |
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.