Data Evolution Holdings Stock Analysis
| DTEV Stock | USD 0.0001 0.00 0.00% |
Data Evolution Holdings is overvalued with Real Value of 8.4E-5 and Hype Value of 1.0E-4. The main objective of Data Evolution stock analysis is to determine its intrinsic value, which is an estimate of what Data Evolution Holdings is worth, separate from its market price. There are two main types of Data Evolution's stock analysis: fundamental analysis and technical analysis.
The Data Evolution stock is traded in the USA on OTCCE Exchange, with the market opening at 09:30:00 and closing at 16:00:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in the USA. Data Evolution is usually not traded on Juneteenth Holiday, Independence Day, Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday, Memorial Day. Data Stock trading window is adjusted to America/New York timezone.
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Evolution Holdings. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in income. Data Stock Analysis Notes
The company had not issued any dividends in recent years. To learn more about Data Evolution Holdings call the company at 877-693-3210 or check out https://www.dataevolution.com.Data Evolution Holdings Investment Alerts
| Data Evolution generated a negative expected return over the last 90 days | |
| Data Evolution has some characteristics of a very speculative penny stock | |
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Data Market Capitalization
The company currently falls under 'Nano-Cap' category with a current market capitalization of 2.9 K.Technical Drivers
Data Evolution Holdings 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 Evolution Holdings Price Movement Analysis
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Data Evolution 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 Data Evolution Holdings. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
About Data Stock Analysis
Stock analysis is the technique used by a trader or investor to examine and evaluate how Data Evolution 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 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 Data Evolution. By using and applying Data Stock analysis, traders can create a robust methodology for identifying Data entry and exit points for their positions.
Data Evolution is entity of United States. It is traded as Stock on OTCCE exchange.
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Additional Tools for Data Stock Analysis
When running Data Evolution's price analysis, check to measure Data Evolution'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 Evolution is operating at the current time. Most of Data Evolution's value examination focuses on studying past and present price action to predict the probability of Data Evolution'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 Evolution's price. Additionally, you may evaluate how the addition of Data Evolution to your portfolios can decrease your overall portfolio volatility.