Data Io Stock Market Value
| DAIO Stock | USD 2.86 0.04 1.42% |
| Symbol | Data |
Will Electronic Equipment, Instruments & Components sector continue expanding? Could Data diversify its offerings? Factors like these will boost the valuation of Data IO. Projected growth potential of Data fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Data IO data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.83) | Earnings Share (0.31) | Revenue Per Share | Quarterly Revenue Growth (0.01) | Return On Assets |
Data IO's market price often diverges from its book value, the accounting figure shown on Data's balance sheet. Smart investors calculate Data IO's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Since Data IO's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
It's important to distinguish between Data IO's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Data IO should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. However, Data IO'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 IO '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 IO'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 IO.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in Data IO on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding Data IO or generate 0.0% return on investment in Data IO over 90 days. Data IO is related to or competes with Elong Power, United Maritime, Aqua Metals, PS International, CCSC Technology, Captivision Ordinary, and OFAL. Data IO Corporation engages in the design, manufacture, and sale of programming and security deployment systems and serv... More
Data IO 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 IO'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 IO upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.69 | |||
| Information Ratio | 0.019 | |||
| Maximum Drawdown | 13.24 | |||
| Value At Risk | (4.92) | |||
| Potential Upside | 5.66 |
Data IO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Data IO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data IO's standard deviation. In reality, there are many statistical measures that can use Data IO historical prices to predict the future Data IO's volatility.| Risk Adjusted Performance | 0.038 | |||
| Jensen Alpha | 0.0525 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0214 | |||
| Treynor Ratio | 0.1015 |
Data IO February 20, 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 | 0.038 | |||
| Market Risk Adjusted Performance | 0.1115 | |||
| Mean Deviation | 2.41 | |||
| Semi Deviation | 2.45 | |||
| Downside Deviation | 2.69 | |||
| Coefficient Of Variation | 2507.5 | |||
| Standard Deviation | 3.04 | |||
| Variance | 9.22 | |||
| Information Ratio | 0.019 | |||
| Jensen Alpha | 0.0525 | |||
| Total Risk Alpha | (0.10) | |||
| Sortino Ratio | 0.0214 | |||
| Treynor Ratio | 0.1015 | |||
| Maximum Drawdown | 13.24 | |||
| Value At Risk | (4.92) | |||
| Potential Upside | 5.66 | |||
| Downside Variance | 7.23 | |||
| Semi Variance | 5.99 | |||
| Expected Short fall | (3.18) | |||
| Skewness | 0.4101 | |||
| Kurtosis | (0.11) |
Data IO Backtested Returns
As of now, Data Stock is moderately volatile. Data IO secures Sharpe Ratio (or Efficiency) of 0.061, which denotes the company had a 0.061 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Data IO, which you can use to evaluate the volatility of the firm. Please confirm Data IO's Mean Deviation of 2.41, coefficient of variation of 2507.5, and Downside Deviation of 2.69 to check if the risk estimate we provide is consistent with the expected return of 0.17%. Data IO has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 1.1, which means a somewhat significant risk relative to the market. Data IO returns are very sensitive to returns on the market. As the market goes up or down, Data IO is expected to follow. Data IO right now shows a risk of 2.7%. Please confirm Data IO semi variance, and the relationship between the maximum drawdown and accumulation distribution , to decide if Data IO will be following its price patterns.
Auto-correlation | -0.46 |
Modest reverse predictability
Data IO has modest reverse predictability. Overlapping area represents the amount of predictability between Data IO time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th of February 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 IO price movement. The serial correlation of -0.46 indicates that about 46.0% of current Data IO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Pair Trading with Data IO
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 IO 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 IO will appreciate offsetting losses from the drop in the long position's value.Moving against Data Stock
| 0.71 | 75S | SDM SE INH | PairCorr |
| 0.64 | EHGO | Eshallgo Class A | PairCorr |
| 0.63 | ELSE | Electro Sensors | PairCorr |
| 0.57 | AMPGW | AmpliTech Group | PairCorr |
| 0.53 | DSWL | Deswell Industries | PairCorr |
The ability to find closely correlated positions to Data IO 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 IO 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 IO - 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 IO to buy it.
The correlation of Data IO 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 IO moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data IO 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 IO 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.Check out Data IO Correlation, Data IO Volatility and Data IO Performance module to complement your research on Data IO. To learn how to invest in Data Stock, please use our How to Invest in Data IO guide.You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
Data IO 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.