Datavault AI Stock Performance

DVLT Stock   0.63  -0.03  -4.55%   
On a scale of 0 to 100, Datavault holds a performance score of 1. The company has a Beta (Market Risk) of 4.39, which implies elevated sensitivity to broad market movements. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Datavault will likely underperform.
Risk-Adjusted Performance
Soft
 
Weak
 
Strong
Datavault AI currently ranks below 1% of comparable global equities and portfolios when recent risk-adjusted returns are measured across a 90-day horizon. Current market capitalization is about 65 Million. In spite of comparatively uncertain essential indicators, Datavault unveiled solid returns over the last few months and may actually be approaching a breakup point. Learn More
 Last Split Factor
1:150
 Last Split Date
2024-04-15
Begin Period Cash Flow3.3 M
Total Cashflows From Investing Activities-7.9 M

Relative Risk vs. Return Landscape

If you had invested $ 80.00 in Datavault AI on December 24, 2025 and sold it today you would have lost $ 17.00 from holding Datavault AI or given up 21.25% of portfolio value over 90 days. Datavault AI is currently generating a 0.3261% daily expected return and carries 12.9787% risk (volatility on return distribution) over a 90-day horizon. In different words, most equities are less risky than Datavault, and most traded equity instruments are projected to make higher returns than the company over the 90 days investment horizon.
  Expected Return   
       Risk  
This benchmark view frames the instrument through return capture and volatility trade-offs. It is most useful when expected return is read together with volatility rather than in isolation. Given the investment horizon of 90 days Datavault is expected to generate 15.43 times more return on investment than the market. However, the company is 15.43 times more volatile than its market benchmark. It trades about 0.03 of its potential returns per unit of risk. The Dow Jones Industrial is currently generating roughly -0.1 per unit of risk.

Target Price Odds to finish over Current Price

Price convergence toward a historical mean is a well-documented pattern for stocks like Datavault Stock. Although this tendency is a useful forecasting input, some instruments remain persistently mispriced before market correction. Periods of persistent mispricing in some stocks highlight the role of additional risk in pricing dynamics. This framework supports more structured thinking about where Datavault Stock price is likely to settle over time.
Current PriceHorizonTarget PriceOdds moving above the current price in 90 days
0.63 90 days 0.63
about 82.67
Our distribution model estimates the likelihood of Datavault moving above the current price in 90 days from now at about 82.67 . Past return patterns over this horizon reflect a distribution that has favored above-current-price scenarios. (This Datavault AI distribution emphasizes the price range most consistent with recent behavior in Datavault Stock over a 90-day period).
Given the investment horizon of 90 days the stock has the beta coefficient of 4.39 suggesting as the benchmark fluctuates upward, the company is expected to outperform it on average. However, if the benchmark returns are projected to be negative, Datavault will likely underperform. Additionally, Datavault AI has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Datavault Price Density   
       Price  

Predictive Modules for Datavault

Investors use a wide range of techniques to forecast Datavault AI within the stock market. Combining results from different methods frames the confidence level investors can assign to Datavault AI predictions. Evaluating multiple forecasts helps separate persistent signals from short-term noise in Datavault AI price data. For Datavault AI, the combination of techniques matters more than the precision of any individual forecast.
Statistical evidence for mean reversion in Datavault's can be observed through its tendency to revert after extreme valuations. Investors who believe in mean reversion view Datavault's price extremes as temporary dislocations that may self-correct. Valuation-driven investors use mean reversion to time Datavault's investments around historical valuation multiples. Historical data for Datavault shows that extreme valuations have tended to normalize over multi-year periods.
Hype
Prediction
LowEstimatedHigh
0.030.6313.61
Details
Intrinsic
Valuation
LowRealHigh
0.040.8013.79
Details
Naive
Forecast
LowNextHigh
0.020.8013.77
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.11-0.11-0.11
Details
Assessing Datavault's competitive position relative to sector peers reveals where the company stands in its industry. Datavault's current valuation may reflect market-wide multiple expansion rather than genuine competitive edge. Competitive analysis of Datavault involves measuring Datavault's position against direct competitors. Investment merit for Datavault is best assessed through the lens of competitive peer performance.

Primary Risk Indicators

Significant market corrections and rallies over the last two decades have made the stock market challenging for Datavault investors. Dramatic market moves have periodically reshaped the risk landscape for holders of Datavault AI. Watching for changes in Datavault's volatility and market elasticity is one way to limit portfolio losses. A data-driven view of Datavault risk supports more disciplined portfolio management decisions.
α
Alpha over Dow Jones
-0.1151
β
Beta against Dow Jones4.39
σ
Overall volatility
0.17
Ir
Information ratio -0.0257

Investor Alerts and Insights

Tracking Datavault through automated alerts focuses attention on the most impactful stock developments. Reviewing Datavault AI notifications is an efficient way to stay current on technical patterns and fundamental changes. Systematic monitoring of Datavault through automated alerts reduces the risk of missing critical developments. Automated alert systems provide consistency that manual monitoring of Datavault cannot match.
Datavault AI had very high historical volatility over the last 90 days
Datavault AI has some characteristics of a very speculative penny stock
Datavault AI has high likelihood to experience some financial distress in the next 2 years
Datavault AIhas 84,859,955 shares shorted by Datavault investors is about 100% of outstending shares
The company reported previous year's revenue of 39.09 M. Net Loss for the year was -78.99 M with profit before overhead, payroll, taxes, and interest of 528 K.
Datavault generates negative cash flow from operations
About 44.0% of the company shares are held by company insiders
Latest headline from finance.yahoo.com: RWA Commodity Tokenization Datavault AI CEO Nathaniel Bradley, Live at Nasdaq

Price Density Drivers

Several forces contribute to Datavault's price dynamics, including buyer and seller positioning dynamics and market conditions. Monitoring Datavault's price density drivers provides context for distinguishing fundamental from tactical price moves. Key market indicators for Datavault reflect the combined effect of buyer and seller positioning dynamics and broader conditions. These indicators are most useful when reviewed consistently alongside Datavault's fundamental data.
Common Stock Shares Outstanding152.6 M
Cash And Short Term InvestmentsM

Datavault Fundamentals Growth

Market participants price Datavault Stock based on their assessment of Datavault's financial trajectory. Revenue and earnings growth, profitability metrics, and debt levels form the core fundamentals driving Datavault Stock. Revenue growth, earnings performance, and balance sheet health are critical fundamentals shaping Datavault Stock. Long-term performance of Datavault Stock depends on Datavault's ability to maintain strong fundamental execution.

Performance Metrics & Calculation Methodology

Datavault risk-adjusted performance measures whether returns compensate for the volatility borne by holders. Higher risk-adjusted returns suggest that performance quality, not just magnitude, supports the result. Datavault shows ROE of -1.61%, ROA of -32.18%.

Unless otherwise specified, data for Datavault AI is compiled from periodic company reporting and market reference feeds and standardized for comparability. Updates may occur throughout the day. Return and risk statistics are calculated from historical price series.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board
Last reviewed on March 15th, 2026