Data Storage Corp Stock Market Value

DTST Stock  USD 7.64  0.30  4.09%   
Data Storage's market value is the price at which a share of Data Storage trades on a public exchange. It measures the collective expectations of Data Storage Corp investors about its performance. Data Storage is selling for under 7.64 as of the 28th of March 2024; that is 4.09 percent increase since the beginning of the trading day. The stock's last reported lowest price was 7.05.
With this module, you can estimate the performance of a buy and hold strategy of Data Storage Corp and determine expected loss or profit from investing in Data Storage over a given investment horizon. Check out Data Storage Correlation, Data Storage Volatility and Data Storage Alpha and Beta module to complement your research on Data Storage.
For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.
Symbol

Data Storage Corp Price To Book Ratio

Is Data Storage's industry 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
(0.63)
Earnings Share
(0.40)
Revenue Per Share
3.621
Quarterly Revenue Growth
0.355
Return On Assets
(0.02)
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.
0.00
02/27/2024
No Change 0.00  0.0 
In 30 days
03/28/2024
0.00
If you would invest  0.00  in Data Storage on February 27, 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 Genpact, Fiserv, Gartner, Kyndryl Holdings, Magic Software, VNET Group, and N Able. 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
2.848.7414.64
Details
Intrinsic
Valuation
LowRealHigh
1.457.3513.25
Details
Naive
Forecast
LowNextHigh
1.557.4513.36
Details
1 Analysts
Consensus
LowTargetHigh
7.288.008.88
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Data Storage. Your research has to be compared to or analyzed against Data Storage's peers to derive any actionable benefits. When done correctly, Data Storage's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Data Storage Corp.

Data Storage Corp Backtested Returns

Data Storage is moderately volatile given 3 months investment horizon. Data Storage Corp secures Sharpe Ratio (or Efficiency) of 0.3, which denotes the company had a 0.3% return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-nine different technical indicators, which can help you to evaluate if expected returns of 1.78% are justified by taking the suggested risk. Use Data Storage Downside Deviation of 4.36, coefficient of variation of 347.13, and Mean Deviation of 4.03 to evaluate company specific risk that cannot be diversified away. Data Storage holds a performance score of 23 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 2.27, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Data Storage will likely underperform. Use Data Storage potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to analyze future returns on Data Storage.

Auto-correlation

    
  0.46  

Average predictability

Data Storage Corp has average predictability. Overlapping area represents the amount of predictability between Data Storage time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 0.46 indicates that about 46.0% of current Data Storage price fluctuation can be explain by its past prices.
Correlation Coefficient0.46
Spearman Rank Test0.19
Residual Average0.0
Price Variance0.29

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  

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Data Storage in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Data Storage's short interest history, or implied volatility extrapolated from Data Storage options trading.

Pair Trading with Data Storage

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Data Storage position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Data Storage will appreciate offsetting losses from the drop in the long position's value.

Moving together with Data Stock

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Moving against Data Stock

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The ability to find closely correlated positions to Data Storage could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Storage when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Data Storage - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Data Storage Corp to buy it.
The correlation of Data Storage is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Data Storage moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Storage Corp moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Data Storage can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Data Storage Corp is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Data Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Data Storage Corp Stock. Highlighted below are key reports to facilitate an investment decision about Data Storage Corp Stock:
Check out Data Storage Correlation, Data Storage Volatility and Data Storage Alpha and Beta module to complement your research on Data Storage.
For more information on how to buy Data Stock please use our How to Invest in Data Storage guide.
You can also try the CEOs Directory module to screen CEOs from public companies around the world.

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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.
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Data Storage technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Data Storage technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Data Storage trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...