Data Storage Corp Stock Analysis
| DTST Stock | USD 4.68 0.38 7.51% |
Data Storage Corp is overvalued with Real Value of 3.78 and Hype Value of 4.68. The main objective of Data Storage stock analysis is to determine its intrinsic value, which is an estimate of what Data Storage Corp 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 Washington 's Birthday, Good Friday, Memorial Day, Juneteenth Holiday, Independence Day, Labour Day, Thanksgiving Day, Christmas Day, New Year 's Day, Dr . Martin Luther King Jr 's Birthday. 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 Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in state. Data Stock Analysis Notes
About 43.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.69. Some equities with similar Price to Book (P/B) outperform the market in the long run. Data Storage Corp had not issued any dividends in recent years. The entity had 1:40 split on the 14th of May 2021. Data Storage Corporation provides multi-cloud information technology solutions primarily in the United States. Data Storage Corporation is headquartered in Melville, New York. DATA STORAGE operates under Information Technology Services classification in the United States and is traded on NASDAQ Exchange. It employs 60 people. To learn more about Data Storage Corp call Charles Piluso at 212-564-4922 or check out https://www.dtst.com.Data Storage Corp Investment Alerts
Data Storage Corp Upcoming and Recent Events
| 29th of March 2024 Upcoming Quarterly Report | View | |
| 31st of December 2023 Next Fiscal Quarter End | View |
Data Market Capitalization
The company currently falls under 'Micro-Cap' category with a current market capitalization of 36.13 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 (0.01) %, which suggests for every $100 dollars of sales, it generated a net operating loss of $0.01.Technical Drivers
As of the 26th of July, Data Storage shows the Mean Deviation of 3.34, coefficient of variation of 1362.36, and Downside Deviation of 3.59. Data Storage Corp 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 Storage Corp 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 Corp. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.
Data Storage Corp 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 Outstanding Bonds
Data Storage 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. Data Storage Corp 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 Data bonds can be classified according to their maturity, which is the date when Data Storage Corp 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.
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.About Data Stock Analysis
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.
Data Storage Corporation provides multi-cloud information technology solutions primarily in the United States. Data Storage Corporation is headquartered in Melville, New York. DATA STORAGE operates under Information Technology Services classification in the United States and is traded on NASDAQ Exchange. It employs 60 people.
Be your own money manager
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 Data Storage to your portfolios without increasing risk or reducing expected return.Did you try this?
Run Options Analysis Now
Options AnalysisAnalyze and evaluate options and option chains as a potential hedge for your portfolios |
| All Next | Launch Module |
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.