Datalex Stock Number Of Shares Shorted
| DLE Stock | EUR 0.36 0.01 2.86% |
Datalex fundamentals help investors to digest information that contributes to Datalex's financial success or failures. It also enables traders to predict the movement of Datalex Stock. The fundamental analysis module provides a way to measure Datalex's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Datalex stock.
Datalex |
Datalex Company Number Of Shares Shorted Analysis
Datalex's Number of Shares Shorted is the total amount of shares that are currently sold short by investors. When a stock is sold short, the short seller assumes the responsibility of repurchasing the stock at a lower price. The speculator will make money if the stock goes down in price or will experience a loss if the stock price goes up.
More About Number Of Shares Shorted | All Equity Analysis
Shares Shorted | = | Shorted by Public | + | by Institutions |
If a large number of investors decide to short sell an equity instrument within a small period of time, their combined action can significantly affect the price of the stock.
| Competition |
Based on the recorded statements, Datalex has 0.0 of outstending shares currently sold short by investors. This is 100.0% lower than that of the Technology sector and about the same as Software—Application (which currently averages 0.0) industry. The number of shares shorted for all Ireland stocks is 100.0% higher than that of the company.
Did you try this?
Run Transaction History Now
Transaction HistoryView history of all your transactions and understand their impact on performance |
| All Next | Launch Module |
Datalex Fundamentals
| Return On Asset | -0.22 | |||
| Profit Margin | (0.18) % | |||
| Operating Margin | (0.26) % | |||
| Current Valuation | 68.94 M | |||
| Shares Outstanding | 132.68 M | |||
| Shares Owned By Insiders | 28.52 % | |||
| Price To Book | 135.82 X | |||
| Price To Sales | 3.08 X | |||
| Revenue | 25.47 M | |||
| Gross Profit | 12.22 M | |||
| EBITDA | 1.12 M | |||
| Net Income | (4.87 M) | |||
| Cash And Equivalents | 2.44 M | |||
| Cash Per Share | 0.03 X | |||
| Total Debt | 20.17 M | |||
| Current Ratio | 0.25 X | |||
| Book Value Per Share | (0.01) X | |||
| Cash Flow From Operations | 446 K | |||
| Earnings Per Share | (0.04) X | |||
| Target Price | 0.93 | |||
| Number Of Employees | 142 | |||
| Beta | 0.46 | |||
| Market Capitalization | 76.95 M | |||
| Total Asset | 21.21 M | |||
| Z Score | 2.8 | |||
| Annual Yield | 0.05 % | |||
| Net Asset | 21.21 M |
About Datalex Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Datalex's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Datalex using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Datalex based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our fundamental analysis page.
Pair Trading with Datalex
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Datalex position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Datalex will appreciate offsetting losses from the drop in the long position's value.Moving against Datalex Stock
The ability to find closely correlated positions to Datalex could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Datalex when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Datalex - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Datalex to buy it.
The correlation of Datalex is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Datalex moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Datalex moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Datalex can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.