Data Storage Stock Analysis
| DTSTW Stock | USD 0.18 0.02 12.50% |
Data Storage's financial leverage is the degree to which the firm utilizes its fixed-income securities and uses equity to finance projects. Companies with high leverage are usually considered to be at financial risk. Data Storage's financial risk is the risk to Data Storage stockholders that is caused by an increase in debt. In other words, with a high degree of financial leverage come high-interest payments, which usually reduce Earnings Per Share (EPS).
Given that Data Storage's debt-to-equity ratio measures a Company's obligations relative to the value of its net assets, it is usually used by traders to estimate the extent to which Data Storage is acquiring new debt as a mechanism of leveraging its assets. A high debt-to-equity ratio is generally associated with increased risk, implying that it has been aggressive in financing its growth with debt. Another way to look at debt-to-equity ratios is to compare the overall debt load of Data Storage to its assets or equity, showing how much of the company assets belong to shareholders vs. creditors. If shareholders own more assets, Data Storage is said to be less leveraged. If creditors hold a majority of Data Storage's assets, the Company is said to be highly leveraged.
Data Storage is undervalued with Real Value of 0.0 and Hype Value of 0.0. The main objective of Data Storage stock analysis is to determine its intrinsic value, which is an estimate of what Data Storage is worth, separate from its market price. There are two main types of Data Storage's stock analysis: fundamental analysis and technical analysis.
The Data Storage stock is traded in the USA on NASDAQ 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 Storage is usually not traded on Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday, Washington 's Birthday, Good Friday, Memorial Day, Juneteenth Holiday, Independence Day ( substitute day ), Independence 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 Storage. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as various price indices. For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.Data Stock Analysis Notes
The company had not issued any dividends in recent years. To learn more about Data Storage call Charles Piluso at 212 564 4922 or check out https://www.dtst.com.Data Storage Investment Alerts
| Data Storage had very high historical volatility over the last 90 days | |
| Data Storage has some characteristics of a very speculative penny stock | |
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Data Market Capitalization
The company currently falls under 'Micro-Cap' category with a current market capitalization of 24.51 M.Data Profitablity
The company has Profit Margin (PM) of 0.64 %, 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 (2.63) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $2.63.Technical Drivers
As of the 26th of January, Data Storage shows the Coefficient Of Variation of 2464.31, mean deviation of 6.76, and Downside Deviation of 13.3. Data Storage 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 Data Storage variance and potential upside to decide if Data Storage is priced favorably, providing market reflects its regular price of 0.18 per share. As Data Storage appears to be a penny stock we also advise to verify its total risk alpha numbers.Data Storage Price Movement Analysis
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. Data Storage 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 Storage. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Data Storage Insider Trading Activities
Some recent studies suggest that insider trading raises the cost of capital for securities issuers and decreases overall economic growth. Trading by specific Data Storage insiders, such as employees or executives, is commonly permitted as long as it does not rely on Data Storage's material information that is not in the public domain. Local jurisdictions usually require such trading to be reported in order to monitor insider transactions. In many U.S. states, trading conducted by corporate officers, key employees, directors, or significant shareholders must be reported to the regulator or publicly disclosed, usually within a few business days of the trade. In these cases Data Storage insiders are required to file a Form 4 with the U.S. Securities and Exchange Commission (SEC) when buying or selling shares of their own companies.
Data Storage Predictive Daily Indicators
Data Storage 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 Data Storage 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.
Data Storage Forecast Models
Data Storage's time-series forecasting models are one of many Data Storage'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 Data Storage'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.Data Storage Assets Financed by Debt
Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Data Storage's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Data Storage, which in turn will lower the firm's financial flexibility.Be your own money manager
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Additional Tools for Data Stock Analysis
When running Data Storage's price analysis, check to measure Data Storage'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 Storage is operating at the current time. Most of Data Storage's value examination focuses on studying past and present price action to predict the probability of Data Storage'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 Storage's price. Additionally, you may evaluate how the addition of Data Storage to your portfolios can decrease your overall portfolio volatility.