Data Io Stock Technical Analysis
| DAIO Stock | USD 2.60 0.02 0.78% |
As of the 25th of November, Data IO shows the Mean Deviation of 2.15, downside deviation of 2.69, and Coefficient Of Variation of 4956.33. Data IO technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Data IO Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Data, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DataData |
Data IO Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 8.25 | Strong Buy | 1 | Odds |
Most Data analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Data stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Data IO, talking to its executives and customers, or listening to Data conference calls.
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.
Data IO Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Data IO volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Data IO Trend Analysis
Use this graph to draw trend lines for Data IO. You can use it to identify possible trend reversals for Data IO as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Data IO price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Data IO Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Data IO applied against its price change over selected period. The best fit line has a slop of 0 , which means Data IO will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.42, which is the sum of squared deviations for the predicted Data IO price change compared to its average price change.About Data IO Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Data IO on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Data IO based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Data IO price pattern first instead of the macroeconomic environment surrounding Data IO. By analyzing Data IO's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Data IO's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Data IO specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2021 | 2022 | 2023 (projected) | Days Sales Outstanding | 56.44 | 75.24 | 74.23 | PTB Ratio | 1.98 | 1.82 | 1.29 |
Data IO November 25, 2024 Technical Indicators
Most technical analysis of Data help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Data from various momentum indicators to cycle indicators. When you analyze Data charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0228 | |||
| Market Risk Adjusted Performance | 0.046 | |||
| Mean Deviation | 2.15 | |||
| Semi Deviation | 2.48 | |||
| Downside Deviation | 2.69 | |||
| Coefficient Of Variation | 4956.33 | |||
| Standard Deviation | 2.92 | |||
| Variance | 8.54 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | 0.036 | |||
| Maximum Drawdown | 19.29 | |||
| Value At Risk | (3.36) | |||
| Potential Upside | 4.51 | |||
| Downside Variance | 7.24 | |||
| Semi Variance | 6.15 | |||
| Expected Short fall | (2.43) | |||
| Skewness | 0.9458 | |||
| Kurtosis | 3.65 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data IO. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product. To learn how to invest in Data Stock, please use our How to Invest in Data IO guide.You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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.