Datavault Ai Stock Market Value
| DVLT Stock | 0.90 0.15 20.00% |
| Symbol | Datavault |
Is IT Consulting & Other Services 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 Datavault. If investors know Datavault 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 Datavault listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (10.97) | Revenue Per Share | Quarterly Revenue Growth 1.467 | Return On Assets | Return On Equity |
The market value of Datavault AI is measured differently than its book value, which is the value of Datavault that is recorded on the company's balance sheet. Investors also form their own opinion of Datavault's value that differs from its market value or its book value, called intrinsic value, which is Datavault'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 Datavault's market value can be influenced by many factors that don't directly affect Datavault'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 Datavault's value and its price as these two are different measures arrived at by different means. Investors typically determine if Datavault is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Datavault'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.
Datavault '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 Datavault'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 Datavault.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Datavault on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Datavault AI or generate 0.0% return on investment in Datavault over 90 days. Datavault is related to or competes with Digimarc, TTEC Holdings, Arrive AI, Lantronix, Tucows, Zepp Health, and Unisys. Datavault is entity of United States. It is traded as Stock on NASDAQ exchange. More
Datavault 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 Datavault'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 Datavault AI upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 9.74 | |||
| Information Ratio | (0.0001) | |||
| Maximum Drawdown | 72.53 | |||
| Value At Risk | (17.34) | |||
| Potential Upside | 42.57 |
Datavault Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Datavault's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Datavault's standard deviation. In reality, there are many statistical measures that can use Datavault historical prices to predict the future Datavault's volatility.| Risk Adjusted Performance | 0.0141 | |||
| Jensen Alpha | (0.56) | |||
| Total Risk Alpha | (2.00) | |||
| Sortino Ratio | (0.0002) | |||
| Treynor Ratio | 0.0132 |
Datavault January 23, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.0141 | |||
| Market Risk Adjusted Performance | 0.0232 | |||
| Mean Deviation | 11.24 | |||
| Semi Deviation | 9.52 | |||
| Downside Deviation | 9.74 | |||
| Coefficient Of Variation | 16124.28 | |||
| Standard Deviation | 16.43 | |||
| Variance | 269.96 | |||
| Information Ratio | (0.0001) | |||
| Jensen Alpha | (0.56) | |||
| Total Risk Alpha | (2.00) | |||
| Sortino Ratio | (0.0002) | |||
| Treynor Ratio | 0.0132 | |||
| Maximum Drawdown | 72.53 | |||
| Value At Risk | (17.34) | |||
| Potential Upside | 42.57 | |||
| Downside Variance | 94.79 | |||
| Semi Variance | 90.56 | |||
| Expected Short fall | (19.63) | |||
| Skewness | 1.85 | |||
| Kurtosis | 3.33 |
Datavault AI Backtested Returns
Datavault AI secures Sharpe Ratio (or Efficiency) of -0.0787, which denotes the company had a -0.0787 % return per unit of risk over the last 3 months. Datavault AI exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Datavault's Downside Deviation of 9.74, mean deviation of 11.24, and Coefficient Of Variation of 16124.28 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 6.94, 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, Datavault will likely underperform. At this point, Datavault AI has a negative expected return of -1.18%. Please make sure to confirm Datavault's potential upside, as well as the relationship between the accumulation distribution and period momentum indicator , to decide if Datavault AI performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.54 |
Modest predictability
Datavault AI has modest predictability. Overlapping area represents the amount of predictability between Datavault time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd 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 Datavault AI price movement. The serial correlation of 0.54 indicates that about 54.0% of current Datavault price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | -0.04 | |
| Residual Average | 0.0 | |
| Price Variance | 0.09 |
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Additional Tools for Datavault Stock Analysis
When running Datavault's price analysis, check to measure Datavault'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 Datavault is operating at the current time. Most of Datavault's value examination focuses on studying past and present price action to predict the probability of Datavault's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Datavault's price. Additionally, you may evaluate how the addition of Datavault to your portfolios can decrease your overall portfolio volatility.