Datametrex (Germany) Analysis

D4G Stock  EUR 0.01  0.0008  19.05%   
Datametrex AI Limited is overvalued with Real Value of 0.004268 and Hype Value of 0.005071. The main objective of Datametrex stock analysis is to determine its intrinsic value, which is an estimate of what Datametrex AI Limited is worth, separate from its market price. There are two main types of Datametrex's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect Datametrex's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of Datametrex's stock to identify patterns and trends that may indicate its future price movements.
The Datametrex stock is traded in Germany on Frankfurt Exchange, with the market opening at 08:00:00 and closing at 22:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in Germany. Here, you can get updates on important government artifacts, including earning estimates, SEC corporate filings, announcements, and Datametrex's ongoing operational relationships across important fundamental and technical indicators.
  
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Datametrex AI Limited. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.

Datametrex Stock Analysis Notes

The company has price-to-book (P/B) ratio of 0.66. Some equities with similar Price to Book (P/B) outperform the market in the long run. Datametrex AI Limited had not issued any dividends in recent years. Datametrex AI Limited provides big data and artificial intelligence services primarily in Canada. The company also provides semantic clustering algorithms blockchain technology for the collection, storage, transfer, analysis, and presentation of big data and industrial scale cryptocurrency mining services. DATAMETREX operates under Information Technology Services classification in Germany and is traded on Frankfurt Stock Exchange. To learn more about Datametrex AI Limited call Marshall Gunter at 647 400 8494 or check out https://www.datametrex.com.

Datametrex AI Limited Investment Alerts

Datametrex is way too risky over 90 days horizon
Datametrex has some characteristics of a very speculative penny stock
Datametrex appears to be risky and price may revert if volatility continues
Datametrex AI Limited has accumulated 354.39 K in total debt with debt to equity ratio (D/E) of 11.0, indicating the company may have difficulties to generate enough cash to satisfy its financial obligations. Datametrex AI Limited has a current ratio of 0.35, 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 Datametrex until it has trouble settling it off, either with new capital or with free cash flow. So, Datametrex'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 Datametrex AI Limited sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Datametrex to invest in growth at high rates of return. When we think about Datametrex's use of debt, we should always consider it together with cash and equity.

Datametrex Market Capitalization

The company currently falls under 'Micro-Cap' category with a current market capitalization of 35.77 M. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Datametrex's market, we take the total number of its shares issued and multiply it by Datametrex'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.

Datametrex Profitablity

Datametrex's profitability indicators refer to fundamental financial ratios that showcase Datametrex's ability to generate income relative to its revenue or operating costs. If, let's say, Datametrex is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, Datametrex'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 Datametrex's profitability requires more research than a typical breakdown of Datametrex'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 0.04 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.15 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.15.

Technical Drivers

As of the 22nd of December, Datametrex shows the Downside Deviation of 62.51, coefficient of variation of 453.18, and Mean Deviation of 238.46. Datametrex AI Limited 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 Datametrex AI Limited information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Datametrex AI Limited is priced favorably, providing market reflects its regular price of 0.005 per share.

Datametrex AI Limited Price Movement Analysis

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The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Datametrex 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 Datametrex AI Limited. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

Datametrex Outstanding Bonds

Datametrex 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. Datametrex AI Limited 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 Datametrex bonds can be classified according to their maturity, which is the date when Datametrex AI Limited 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.

Datametrex Predictive Daily Indicators

Datametrex 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 Datametrex 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.

Datametrex Forecast Models

Datametrex's time-series forecasting models are one of many Datametrex'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 Datametrex'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 Datametrex Stock Analysis

Stock analysis is the technique used by a trader or investor to examine and evaluate how Datametrex 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 Datametrex 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 Datametrex. By using and applying Datametrex Stock analysis, traders can create a robust methodology for identifying Datametrex entry and exit points for their positions.
Datametrex AI Limited provides big data and artificial intelligence services primarily in Canada. The company also provides semantic clustering algorithms blockchain technology for the collection, storage, transfer, analysis, and presentation of big data and industrial scale cryptocurrency mining services. DATAMETREX operates under Information Technology Services classification in Germany and is traded on Frankfurt Stock Exchange.

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As an investor, your ultimate goal is to build wealth. Optimizing your investment portfolio is an essential element in this goal. Using our stock analysis tools, you can find out how much better you can do when adding Datametrex to your portfolios without increasing risk or reducing expected return.

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