Data Io Stock Market Value
| DAIO Stock | USD 2.69 0.07 2.67% |
| Symbol | Data |
Data IO Price To Book Ratio
Is Electronic Equipment, Instruments & Components 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 Data IO. If investors know Data 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 Data IO 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 (0.83) | Earnings Share (0.20) | Revenue Per Share 2.579 | Quarterly Revenue Growth (0.17) | Return On Assets (0.04) |
The market value of Data IO is measured differently than its book value, which is the value of Data that is recorded on the company's balance sheet. Investors also form their own opinion of Data IO's value that differs from its market value or its book value, called intrinsic value, which is Data IO'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 Data IO's market value can be influenced by many factors that don't directly affect Data IO'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 Data IO's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data IO is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. 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.
| 06/02/2024 |
| 11/29/2024 |
If you would invest 0.00 in Data IO on June 2, 2024 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 180 days. Data IO is related to or competes with Maris Tech, CTS, Cps Technologies, Micropac Industries, Ieh Corp, LGL, and SigmaTron International. 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 | 2.72 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 19.29 | |||
| Value At Risk | (3.36) | |||
| Potential Upside | 4.51 |
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 | 0.0272 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.37) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0516 |
Data IO Backtested Returns
Data IO appears to be moderately volatile, given 3 months investment horizon. Data IO secures Sharpe Ratio (or Efficiency) of 0.0839, which denotes the company had a 0.0839% 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 utilize Data IO's Downside Deviation of 2.72, mean deviation of 2.12, and Coefficient Of Variation of 3868.77 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Data IO holds a performance score of 6. The firm shows a Beta (market volatility) of 1.26, 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, Data IO will likely underperform. Please check Data IO's semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Data IO's price patterns will revert.
Auto-correlation | -0.64 |
Very good reverse predictability
Data IO has very good reverse predictability. Overlapping area represents the amount of predictability between Data IO time series from 2nd of June 2024 to 31st of August 2024 and 31st of August 2024 to 29th of November 2024. 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 -0.64 indicates that roughly 64.0% of current Data IO price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.54 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Data IO lagged returns against current returns
Autocorrelation, which is Data IO stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Data IO's stock expected returns. We can calculate the autocorrelation of Data IO returns to help us make a trade decision. For example, suppose you find that Data IO has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Data IO regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Data IO stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Data IO stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Data IO stock over time.
Current vs Lagged Prices |
| Timeline |
Data IO Lagged Returns
When evaluating Data IO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Data IO stock have on its future price. Data IO autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Data IO autocorrelation shows the relationship between Data IO stock current value and its past values and can show if there is a momentum factor associated with investing in Data IO.
Regressed Prices |
| Timeline |
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
| 0.51 | EVLV | Evolv Technologies Trending | PairCorr |
| 0.46 | CDW | CDW Corp | PairCorr |
| 0.41 | UKOMW | Ucommune International | PairCorr |
| 0.36 | VRME | VerifyMe | PairCorr |
| 0.36 | IVAC | Intevac | 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 Alpha and Beta 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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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.