Data Storage Stock Analysis

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 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 0.01 %, 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 (0.08) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.08.

Management Efficiency

Data Storage has return on total asset (ROA) of (0.0109) % which means that it has lost $0.0109 on every $100 spent on assets. This is way below average. Data Storage's management efficiency ratios could be used to measure how well Data Storage manages its routine affairs as well as how well it operates its assets and liabilities. At this time, Data Storage's Return On Tangible Assets are fairly stable compared to the past year. Return On Assets is likely to climb to 0.02 in 2024, whereas Return On Capital Employed is likely to drop (0.01) in 2024. At this time, Data Storage's Total Assets are fairly stable compared to the past year. Non Currrent Assets Other is likely to climb to about 60.9 K in 2024, whereas Intangible Assets are likely to drop slightly above 968.8 K in 2024.

Technical Drivers

As of the 26th of November, Data Storage shows the Mean Deviation of 9.2, coefficient of variation of 8997.76, and Downside Deviation of 12.09. 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 0.38 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

Data Storage Predictive Daily Indicators

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.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Data Storage 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 Storage. By using and applying Data Stock analysis, traders can create a robust methodology for identifying Data entry and exit points for their positions.

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.