Datalex (Ireland) Analysis
| DLE Stock | EUR 0.40 0.01 2.56% |
Datalex is overvalued with Real Value of 0.33 and Hype Value of 0.4. The main objective of Datalex stock analysis is to determine its intrinsic value, which is an estimate of what Datalex is worth, separate from its market price. There are two main types of Datalex's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Datalex's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Datalex's stock to identify patterns and trends that may indicate its future price movements.
The Datalex stock is traded in Ireland on Irish Exchange, with the market opening at 08:00:00 and closing at 16:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Ireland. Datalex is usually not traded on Christmas Day, St . Stephen 's Day, New Year 's Day, St . Patrick 's Day, Easter Sunday, Easter Monday, May Day. Datalex Stock trading window is adjusted to Europe/Dublin timezone.
Datalex |
Datalex Stock Analysis Notes
About 29.0% of the company shares are held by company insiders. The company recorded a loss per share of 0.04. Datalex last dividend was issued on the 2nd of August 2018. The entity had 594:587 split on the 8th of June 2021. Datalex plc develops and sells various distribution and retailing software products and solutions to the airline industry worldwide. Datalex plc was founded in 1985 and is headquartered in Dublin, Ireland. DATALEX PLC operates under SoftwareApplication classification in Ireland and is traded on Irland Stock Exchange. It employs 140 people. To learn more about Datalex call Sean Corkery at 353 1 806 3500 or check out https://www.datalex.com.Datalex Investment Alerts
| Datalex has some characteristics of a very speculative penny stock | |
| Datalex had very high historical volatility over the last 90 days | |
| 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 Thematic Classifications
In addition to having Datalex stock in your portfolios, you can add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your favorite investment opportunity, you can then obtain an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility. If you are a result-oriented investor, you can benefit from optimizing one of our existing themes to build an efficient portfolio against your specific investing outlook.
 | Data StorageData Storage |
Datalex Market Capitalization
The company currently falls under 'Micro-Cap' category with a current market capitalization of 76.95 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Datalex's market, we take the total number of its shares issued and multiply it by Datalex's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.Datalex Profitablity
Datalex's profitability indicators refer to fundamental financial ratios that showcase Datalex's ability to generate income relative to its revenue or operating costs. If, let's say, Datalex is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Datalex's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of Datalex's profitability requires more research than a typical breakdown of Datalex's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of (0.18) %, which may suggest that it does not properly executes on its current pricing strategies or is unable to control all of the operational costs. This is way below average. Similarly, it shows Operating Margin (OM) of (0.26) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.26. Technical Drivers
As of the 3rd of December, Datalex shows the Coefficient Of Variation of 6296.94, downside deviation of 4.95, and Mean Deviation of 1.79. Datalex 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 Datalex jensen alpha, potential upside, skewness, as well as the relationship between the maximum drawdown and semi variance to decide if Datalex is priced favorably, providing market reflects its regular price of 0.4 per share.Datalex Price Movement Analysis
The output start index for this execution was twenty-seven with a total number of output elements of thirty-four. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Datalex middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for Datalex. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Datalex Outstanding Bonds
Datalex issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. Datalex uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most Datalex bonds can be classified according to their maturity, which is the date when Datalex has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.
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Datalex Predictive Daily Indicators
Datalex intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of Datalex stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.
Datalex Forecast Models
Datalex's time-series forecasting models are one of many Datalex's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae 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. These 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 market movement and maximize returns from investment trading.About Datalex Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how Datalex prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Datalex shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Datalex. By using and applying Datalex Stock analysis, traders can create a robust methodology for identifying Datalex entry and exit points for their positions.
Datalex plc develops and sells various distribution and retailing software products and solutions to the airline industry worldwide. Datalex plc was founded in 1985 and is headquartered in Dublin, Ireland. DATALEX PLC operates under SoftwareApplication classification in Ireland and is traded on Irland Stock Exchange. It employs 140 people.
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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.