Datalex (Ireland) Odds of Future Stock Price Finishing Under 0.01
| DLE Stock | EUR 0.35 0.01 2.78% |
Datalex |
Datalex Target Price Odds to finish below 0.01
The tendency of Datalex Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to drop to € 0.01 or more in 90 days |
| 0.35 | 90 days | 0.01 | near 1 |
Based on a normal probability distribution, the odds of Datalex to drop to € 0.01 or more in 90 days from now is near 1 (This Datalex probability density function shows the probability of Datalex Stock to fall within a particular range of prices over 90 days) . Probability of Datalex price to stay between € 0.01 and its current price of €0.35 at the end of the 90-day period is about 25.49 .
Assuming the 90 days trading horizon Datalex has a beta of 0.8 suggesting as returns on the market go up, Datalex average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Datalex will be expected to be much smaller as well. Additionally Datalex has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial. Datalex Price Density |
| Price |
Predictive Modules for Datalex
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Datalex. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Datalex Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Datalex is not an exception. The market had few large corrections towards the Datalex's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Datalex, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Datalex within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | -0.23 | |
β | Beta against Dow Jones | 0.80 | |
σ | Overall volatility | 0.03 | |
Ir | Information ratio | -0.07 |
Datalex 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 Datalex for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Datalex can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Datalex generated a negative expected return over the last 90 days | |
| Datalex has some characteristics of a very speculative penny stock | |
| Datalex has high historical volatility and very poor performance | |
| Datalex has high likelihood to experience some financial distress in the next 2 years | |
| Datalex has accumulated 20.17 M in total debt. Datalex has a current ratio of 0.25, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Datalex until it has trouble settling it off, either with new capital or with free cash flow. So, Datalex's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Datalex sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Datalex to invest in growth at high rates of return. When we think about Datalex's use of debt, we should always consider it together with cash and equity. | |
| The entity reported the revenue of 25.47 M. Net Loss for the year was (4.87 M) with profit before overhead, payroll, taxes, and interest of 12.22 M. | |
| About 29.0% of the company shares are held by company insiders |
Datalex 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 Datalex Stock often depends not only on the future outlook of the current and potential Datalex'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. Datalex's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 80 M | |
| Cash And Short Term Investments | 8.3 M |
Datalex Technical Analysis
Datalex's future price can be derived by breaking down and analyzing its technical indicators over time. Datalex Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Datalex. In general, you should focus on analyzing Datalex Stock price patterns and their correlations with different microeconomic environments and drivers.
Datalex Predictive Forecast Models
Datalex's time-series forecasting models is one of many Datalex'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 Datalex'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 Datalex
Checking the ongoing alerts about Datalex for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Datalex help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Datalex generated a negative expected return over the last 90 days | |
| Datalex has some characteristics of a very speculative penny stock | |
| Datalex has high historical volatility and very poor performance | |
| Datalex has high likelihood to experience some financial distress in the next 2 years | |
| Datalex has accumulated 20.17 M in total debt. Datalex has a current ratio of 0.25, indicating that it has a negative working capital and may not be able to pay financial obligations in time and when they become due. Debt can assist Datalex until it has trouble settling it off, either with new capital or with free cash flow. So, Datalex's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Datalex sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Datalex to invest in growth at high rates of return. When we think about Datalex's use of debt, we should always consider it together with cash and equity. | |
| The entity reported the revenue of 25.47 M. Net Loss for the year was (4.87 M) with profit before overhead, payroll, taxes, and interest of 12.22 M. | |
| About 29.0% of the company shares are held by company insiders |
Additional Tools for Datalex Stock Analysis
When running Datalex's price analysis, check to measure Datalex'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 Datalex is operating at the current time. Most of Datalex's value examination focuses on studying past and present price action to predict the probability of Datalex's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datalex's price. Additionally, you may evaluate how the addition of Datalex to your portfolios can decrease your overall portfolio volatility.