Data Call Technologi Stock Analysis

Data Pink Sheet Analysis Notes

About 25.0% of the company shares are held by company insiders. The company had not issued any dividends in recent years. Data Call Technologi had 1:5 split on the 24th of February 2012. Data Call Technologies, Inc. provides real-time informationcontent through digital signage and kiosk networks in the United States. Data Call Technologies, Inc. was incorporated in 2002 and is based in Friendswood, Texas. Data Call operates under SoftwareInfrastructure classification in the United States and is traded on OTC Exchange. It employs 3 people.The quote for Data Call Technologi is published daily by the National Quotation Bureau and the company does not need to meet minimum requirements or file with the SEC. To learn more about Data Call Technologi call Timothy Vance at 832 230 2376 or check out https://www.datacalltech.com.

Data Call Technologi Investment Alerts

Data Market Capitalization

The company currently falls under 'Nano-Cap' category with a current market capitalization of 700.87 K. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Data Call's market, we take the total number of its shares issued and multiply it by Data Call'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.

Data Profitablity

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 0.01 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.01.

Technical Drivers

As of the 24th of March, Data Call shows the Standard Deviation of 130.39, variance of 17001.98, and Mean Deviation of 35.78. Data Call Technologi 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.

Data Call Technologi Price Movement Analysis

Data Call Outstanding Bonds

Data Call Predictive Daily Indicators

Data Call Forecast Models

Data Call's time-series forecasting models are one of many Data Call's pink sheet 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 Data Call'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.

Pink Sheet analysis is the technique used by a trader or investor to examine and evaluate how Data Call 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 Data shares will generate the highest return on investment. We also built our pink sheet 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 Pink Sheet such as Data Call. By using and applying Data Pink Sheet analysis, traders can create a robust methodology for identifying Data entry and exit points for their positions.

When running Data Call's price analysis, check to measure Data Call'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 Data Call is operating at the current time. Most of Data Call's value examination focuses on studying past and present price action to predict the probability of Data Call's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Call's price. Additionally, you may evaluate how the addition of Data Call to your portfolios can decrease your overall portfolio volatility.