Data Storage Stock Market Value
| DTSTW Stock | USD 0.63 0.04 5.97% |
| Symbol | Data |
Data Storage Price To Book Ratio
Is Internet Services & Infrastructure 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 | Revenue Per Share 3.682 | Quarterly Revenue Growth (0.17) | Return On Assets (0.01) | Return On Equity 0.0079 |
The market value of Data Storage 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.
| 11/19/2024 |
| 12/19/2024 |
If you would invest 0.00 in Data Storage on November 19, 2024 and sell it all today you would earn a total of 0.00 from holding Data Storage or generate 0.0% return on investment in Data Storage over 30 days. Data Storage is related to or competes with Data Storage, and Digital Brands. Data Storage is entity of United States. It is traded as Stock on NASDAQ exchange. 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 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.0 | |||
| Information Ratio | 0.1239 | |||
| Maximum Drawdown | 68.53 | |||
| Value At Risk | (15.22) | |||
| Potential Upside | 32.43 |
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 | 0.1096 | |||
| Jensen Alpha | 1.7 | |||
| Total Risk Alpha | 1.39 | |||
| Sortino Ratio | 0.1547 | |||
| Treynor Ratio | 1.76 |
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 Backtested Returns
Data Storage is out of control given 3 months investment horizon. Data Storage secures Sharpe Ratio (or Efficiency) of 0.0824, which denotes the company had a 0.0824% return per unit of risk over the last 3 months. We were able to interpolate and analyze data for twenty-seven different technical indicators, which can help you to evaluate if expected returns of 1.05% are justified by taking the suggested risk. Use Data Storage Downside Deviation of 11.0, coefficient of variation of 793.72, and Mean Deviation of 9.34 to evaluate company specific risk that cannot be diversified away. Data Storage holds a performance score of 6 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.98, which means possible diversification benefits within a given portfolio. Data Storage returns are very sensitive to returns on the market. As the market goes up or down, Data Storage is expected to follow. Use Data Storage jensen alpha, potential upside, as well as the relationship between the Potential Upside and daily balance of power , to analyze future returns on Data Storage.
Auto-correlation | -0.02 |
Very weak reverse predictability
Data Storage has very weak reverse predictability. Overlapping area represents the amount of predictability between Data Storage time series from 19th of November 2024 to 4th of December 2024 and 4th of December 2024 to 19th of December 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 price movement. The serial correlation of -0.02 indicates that only 2.0% of current Data Storage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Data Storage 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.
Regressed Prices |
| Timeline |
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.