Data Storage Stock Price on July 3, 2024
| DTSTW Stock | USD 0.38 0.01 2.56% |
If you're considering investing in Data Stock, it is important to understand the factors that can impact its price. As of today, the current price of Data Storage stands at 0.38, as last reported on the 26th of November, with the highest price reaching 0.40 and the lowest price hitting 0.35 during the day. Data Storage appears to be out of control, given 3 months investment horizon. Data Storage secures Sharpe Ratio (or Efficiency) of 0.037, which denotes the company had a 0.037% return per unit of risk over the last 3 months. By reviewing Data Storage's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please utilize Data Storage's Downside Deviation of 12.41, mean deviation of 9.82, and Coefficient Of Variation of 2702.72 to check if our risk estimates are consistent with your expectations.
Data Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Data |
Sharpe Ratio = 0.037
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | DTSTW | |||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns |
Estimated Market Risk
| 14.35 actual daily | 96 96% of assets are less volatile |
Expected Return
| 0.53 actual daily | 10 90% of assets have higher returns |
Risk-Adjusted Return
| 0.04 actual daily | 2 98% of assets perform better |
Based on monthly moving average Data Storage is performing at about 2% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Data Storage by adding it to a well-diversified portfolio.
Data Storage Valuation on July 3, 2024
It is possible to determine the worth of Data Storage on a given historical date. On July 3, 2024 Data was worth 1.28 at the beginning of the trading date compared to the closed value of 1.28. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Data Storage stock. Still, in general, we apply an absolute valuation method to find Data Storage's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Data Storage where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Data Storage's related companies.
| Open | High | Low | Close | Volume | |
| 1.48 | 1.48 | 1.28 | 1.28 | 25.00 | |
07/03/2024 | 1.28 | 1.28 | 1.28 | 1.28 | 25.00 |
| 1.28 | 1.42 | 1.28 | 1.28 | 3,569 |
| Backtest Data Storage | | | Data Storage History | | | Data Storage Valuation | Previous | Next |
Data Storage Trading Date Momentum on July 3, 2024
| On July 05 2024 Data Storage was traded for 1.28 at the closing time. The highest daily price throughout the period was 1.42 and the lowest price was 1.28 . The daily volume was 3.6 K. The net trading volume on 07/05/2024 did not affect price variability. The overall trading delta to current closing price is 7.03% . |
Data Storage Fundamentals Correlations and Trends
By evaluating Data Storage's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Data Storage's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Data financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Data Storage Stock history
Data Storage investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Data is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Data Storage will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Data Storage stock prices may prove useful in developing a viable investing in Data Storage
Data Storage Stock Technical Analysis
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.
Price Boundaries
Data Storage Period Price Range
Low | November 26, 2024
| High |
0.00 | 0.00 |
Data Storage cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Data Storage November 26, 2024 Market Strength
Market strength indicators help investors to evaluate how Data Storage stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Data Storage shares will generate the highest return on investment. By undertsting and applying Data Storage stock market strength indicators, traders can identify Data Storage entry and exit signals to maximize returns
Data Storage Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Data Storage's price direction in advance. Along with the technical and fundamental analysis of Data Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Data to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | 0.0377 | |||
| Jensen Alpha | 0.58 | |||
| Total Risk Alpha | (1.71) | |||
| Sortino Ratio | 0.0324 | |||
| Treynor Ratio | (1.05) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.