Data Storage Corp Stock Technical Analysis
| DTST Stock | USD 4.16 0.06 1.42% |
As of the 30th of January, Data Storage shows the Coefficient Of Variation of 19211.69, mean deviation of 1.48, and Downside Deviation of 2.8. 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 Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Data, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DataData Storage's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Data Storage Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 9.0 | Buy | 1 | Odds |
Most Data analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Data stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Data Storage Corp, talking to its executives and customers, or listening to Data conference calls.
Is there potential for Application Software market expansion? Will Data introduce new products? Factors like these will boost the valuation of Data Storage. Projected growth potential of Data fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. 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 274.596 | Earnings Share 0.18 | Revenue Per Share | Quarterly Revenue Growth 0.282 | Return On Assets |
Investors evaluate Data Storage Corp using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Data Storage's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Data Storage's market price to deviate significantly from intrinsic value.
It's important to distinguish between Data Storage's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Data Storage should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Data Storage's market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Data Storage on November 1, 2025 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 90 days. Data Storage is related to or competes with Merck, Overlay Shares, Redhill Biopharma, Alcoa Corp, Hercules Capital, Kirin Holdings, and Eagle Point. 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 | 2.8 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 24.27 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.31 |
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 | 0.0111 | |||
| Jensen Alpha | 0.0072 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.06) |
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 January 30, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0111 | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.48 | |||
| Semi Deviation | 2.58 | |||
| Downside Deviation | 2.8 | |||
| Coefficient Of Variation | 19211.69 | |||
| Standard Deviation | 2.69 | |||
| Variance | 7.23 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0072 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 24.27 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.31 | |||
| Downside Variance | 7.82 | |||
| Semi Variance | 6.65 | |||
| Expected Short fall | (1.59) | |||
| Skewness | 0.1147 | |||
| Kurtosis | 11.54 |
Data Storage Corp Backtested Returns
Currently, Data Storage Corp is slightly risky. Data Storage Corp secures Sharpe Ratio (or Efficiency) of 0.0124, which denotes the company had a 0.0124 % return per unit of risk over the last 3 months. We have found thirty 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 2.8, coefficient of variation of 19211.69, and Mean Deviation of 1.48 to check if the risk estimate we provide is consistent with the expected return of 0.0347%. The firm shows a Beta (market volatility) of -0.0628, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Data Storage are expected to decrease at a much lower rate. During the bear market, Data Storage is likely to outperform the market. Data Storage Corp right now shows a risk of 2.8%. 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 | -0.8 |
Almost perfect reverse predictability
Data Storage Corp has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Data Storage time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th of January 2026. 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 -0.8 indicates that around 80.0% of current Data Storage price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.8 | |
| Spearman Rank Test | -0.43 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
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.
Data Storage Corp Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Data Storage Corp volatility developed by Welles Wilder.
About Data Storage Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Data Storage Corp on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Data Storage Corp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Data Storage Corp price pattern first instead of the macroeconomic environment surrounding Data Storage Corp. By analyzing Data Storage's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Data Storage's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Data Storage specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2025 | 2026 (projected) | Payables Turnover | 4.03 | 3.34 | Days Of Inventory On Hand | 14.45 | 20.24 |
Data Storage January 30, 2026 Technical Indicators
Most technical analysis of Data help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Data from various momentum indicators to cycle indicators. When you analyze Data charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0111 | |||
| Market Risk Adjusted Performance | (0.05) | |||
| Mean Deviation | 1.48 | |||
| Semi Deviation | 2.58 | |||
| Downside Deviation | 2.8 | |||
| Coefficient Of Variation | 19211.69 | |||
| Standard Deviation | 2.69 | |||
| Variance | 7.23 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0072 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | (0.06) | |||
| Maximum Drawdown | 24.27 | |||
| Value At Risk | (2.91) | |||
| Potential Upside | 3.31 | |||
| Downside Variance | 7.82 | |||
| Semi Variance | 6.65 | |||
| Expected Short fall | (1.59) | |||
| Skewness | 0.1147 | |||
| Kurtosis | 11.54 |
Data Storage January 30, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Data stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 429.97 | ||
| Daily Balance Of Power | (0.18) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 4.26 | ||
| Day Typical Price | 4.23 | ||
| Price Action Indicator | (0.13) |
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.