Data Storage Corp Stock Market Value
| DTST Stock | USD 3.90 0.06 1.52% |
| Symbol | Data |
Data Storage Corp Price To Book Ratio
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Data Storage. If investors know Data will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Data Storage listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 5.733 | Earnings Share 0.02 | Revenue Per Share 3.682 | Quarterly Revenue Growth (0.17) | Return On Assets (0.01) |
The market value of Data Storage Corp is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data Storage's value that differs from its market value or its book value, called intrinsic value, which is Data Storage's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Data Storage's market value can be influenced by many factors that don't directly affect Data Storage's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Data Storage's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data Storage is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data Storage's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Data Storage 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Data Storage's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Data Storage.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Data Storage on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Data Storage Corp or generate 0.0% return on investment in Data Storage over 30 days. Data Storage is related to or competes with Castellum, Information Services, Widepoint, Usio, Soluna Holdings, 9F, and Kontrol Technologies. Data Storage Corporation provides multi-cloud information technology solutions primarily in the United States More
Data Storage Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Data Storage's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Data Storage Corp upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.91 | |||
| Information Ratio | 0.0217 | |||
| Maximum Drawdown | 43.14 | |||
| Value At Risk | (5.84) | |||
| Potential Upside | 7.47 |
Data Storage Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Data Storage's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data Storage's standard deviation. In reality, there are many statistical measures that can use Data Storage historical prices to predict the future Data Storage's volatility.| Risk Adjusted Performance | 0.0434 | |||
| Jensen Alpha | 0.1772 | |||
| Total Risk Alpha | (0.57) | |||
| Sortino Ratio | 0.0194 | |||
| Treynor Ratio | 0.5017 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Data Storage's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Data Storage Corp Backtested Returns
Currently, Data Storage Corp is unstable. Data Storage Corp secures Sharpe Ratio (or Efficiency) of 0.0036, which denotes the company had a 0.0036% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Data Storage Corp, which you can use to evaluate the volatility of the firm. Please confirm Data Storage's Downside Deviation of 5.91, coefficient of variation of 2199.26, and Mean Deviation of 3.18 to check if the risk estimate we provide is consistent with the expected return of 0.0196%. The firm shows a Beta (market volatility) of 0.46, which means possible diversification benefits within a given portfolio. As returns on the market increase, Data Storage's returns are expected to increase less than the market. However, during the bear market, the loss of holding Data Storage is expected to be smaller as well. Data Storage Corp right now shows a risk of 5.36%. Please confirm Data Storage Corp potential upside, as well as the relationship between the accumulation distribution and price action indicator , to decide if Data Storage Corp will be following its price patterns.
Auto-correlation | -0.15 |
Insignificant reverse predictability
Data Storage Corp has insignificant reverse predictability. Overlapping area represents the amount of predictability between Data Storage time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Data Storage Corp price movement. The serial correlation of -0.15 indicates that less than 15.0% of current Data Storage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.15 | |
| Spearman Rank Test | 0.15 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Data Storage Corp lagged returns against current returns
Autocorrelation, which is Data Storage stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Data Storage's stock expected returns. We can calculate the autocorrelation of Data Storage returns to help us make a trade decision. For example, suppose you find that Data Storage has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Data Storage regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Data Storage stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Data Storage stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Data Storage stock over time.
Current vs Lagged Prices |
| Timeline |
Data Storage Lagged Returns
When evaluating Data Storage's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Data Storage stock have on its future price. Data Storage autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Data Storage autocorrelation shows the relationship between Data Storage stock current value and its past values and can show if there is a momentum factor associated with investing in Data Storage Corp.
Regressed Prices |
| Timeline |
Thematic Opportunities
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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.