Data IO Stock Forward View - Simple Exponential Smoothing
| DAIO Stock | USD 2.71 0.07 2.65% |
Forecasting Data IO stock price is inherently uncertain, but structured approaches to analyzing market sentiment can improve the odds. This module tracks the noise around Data IO to identify periods where price and perception diverge.
Based on the latest data, the relative strength metric for Data IO stands at 41, indicating moderately negative momentum. This range suggests moderated price movement without extreme directional pressure.Momentum
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth -0.83 | EPS Estimate Current Year -0.39 | EPS Estimate Next Year -0.36 | Wall Street Target Price 5.22 | Quarterly Revenue Growth -0.01 |
The hype perspective for Data IO maps headline activity to recent price response and peer coverage. Sentiment context for Data IO is drawn from options positioning and short interest patterns.
Refer to Dividend Yield and Price To Sales Ratio for expanded analysis.
Data IO Implied Volatility | 2.09 |
For option buyers, high Data IO's implied volatility means paying more for the right to profit from price movements in Data IO. For sellers, elevated implied volatility creates opportunities to collect richer premiums.
The Simple Exponential Smoothing forecasted value of Data IO on the next trading day is expected to be 2.71 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.71.Data IO after-hype prediction price | $ 2.63 |
Sentiment metrics here complement forecasting and technical views with analyst and earnings context.
Historical Fundamental Analysis of Data IO can be used to cross-verify projections for Data IO. The view provides historical context for the projection set.Open Interest Snapshot: Data 2026-04-17 Options
Outstanding option contracts for Data IO are summarized through open interest, which highlights market participation.
Data IO Additional Predictive Modules
Most predictive techniques to examine Data price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Data using various technical indicators. When you analyze Data charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
Data IO Simple Exponential Smoothing Price Forecast For the 12th of March 2026
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Data IO on the next trading day is expected to be 2.71 with a mean absolute deviation of 0.06 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.71 .Please note that although there have been many attempts to predict Data Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Data IO's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Data IO Stock Forecast Pattern
| Backtest Data IO | Data IO Price Prediction | Research Analysis |
Data IO Forecasted Value
This next-day forecast for Data IO uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. Investors should still remember that no empirical framework consistently proves that one family of forecasting models will outperform all other approaches in live markets.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Data IO stock data series using in forecasting. Note that when a statistical model is used to represent Data IO stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 111.1015 |
| Bias | Arithmetic mean of the errors | 0.0082 |
| MAD | Mean absolute deviation | 0.0618 |
| MAPE | Mean absolute percentage error | 0.0203 |
| SAE | Sum of the absolute errors | 3.71 |
The mean reversion principle applied to Data IO's suggests that neither prolonged outperformance nor underperformance is permanent. Investors exploit this by positioning against extremes in price relative to fundamental value.
Data IO After-Hype Price Density Analysis
Probability distributions applied to Data IO price forecasting provide a more honest representation of uncertainty than single point estimates. The shape of Data IO's distribution - whether it is symmetric, skewed, or fat-tailed - carries important information for risk.
Next price density |
| Expected price to next headline |
Data IO Estimiated After-Hype Price Volatility
News-driven price analysis for Data IO quantifies the historical relationship between headline events and Data IO's short-term price response. Data IO's after-hype downside and upside margins for the prediction period are 0.21 and 5.05, respectively. The strength of this signal depends on the consistency of Data IO's past reactions to comparable news categories.
Current Value
The after-hype framework applied to Data IO assumes a 3 months review window and focuses on post-sentiment normalization rather than raw momentum. This view is most useful when investors want to compare sentiment-driven price extension with a more measured post-news scenario.
Data IO Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Data IO is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Data IO backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Data IO, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.27 | 2.42 | 0.03 | 0.08 | 7 Events | 4 Events | In 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
2.71 | 2.63 | 1.13 |
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Data IO Hype Timeline
Data IO is currently traded for 2.71. The company has historical hype elasticity of -0.03, and average elasticity to hype of competition of -0.08. Data is forecasted to decline in value after the next headline, with the price expected to drop to 2.63. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -1.13%, whereas the daily expected return is currently at -0.27%. The volatility of related hype on Data IO is about 783.17%, with the expected price after the next announcement by competition of 2.63. About 34.0% of the company shares are held by institutions such as insurance companies. The company has price-to-book (P/B) ratio of 1.82. Some equities with similar Price to Book (P/B) outperform the market in the long run. Data IO recorded a loss per share of 0.31. The company last dividend was issued on the 9th of March 1989. The firm completed a 3:2 stock split on 22nd of August 1983. Given the investment horizon of 90 days the next forecasted press release will be in 7 days. Historical Fundamental Analysis of Data IO can be used to cross-verify projections for Data IO. The view provides historical context for the projection set.Data IO Related Hype Analysis
When a direct competitor of Data IO experiences a significant news event, the market often re-rates Data IO's shares in sympathy or in contrast, depending on whether the news affects the sector broadly or competitively.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NSYS | Nortech Systems Incorporated | -0.36 | 8 per month | 2.01 | 0.18 | 4.75 | -4.26 | 15.36 | |
| FCUV | Focus Universal | -2.80 | 5 per month | 0.00 | -0.22 | 8.21 | -16.86 | 42.70 | |
| SLNH | Soluna Holdings | 0.06 | 8 per month | 0.00 | -0.08 | 17.32 | -12.39 | 44.68 | |
| SELX | Semilux International Ltd | -0.01 | 6 per month | 0.00 | -0.0003 | 10.00 | -11.11 | 44.13 | |
| FOXX | Foxx Development Holdings | 0.07 | 8 per month | 7.61 | 0.03 | 13.62 | -12.73 | 46.67 | |
| BOSC | BOS Better Online | 0.22 | 6 per month | 2.21 | 0.04 | 4.72 | -3.48 | 10.55 | |
| CREX | Creative Realities | -0.01 | 8 per month | 2.97 | 0.11 | 7.99 | -6.29 | 20.79 | |
| ZSPC | zSpace Common stock | -0.01 | 6 per month | 0.00 | -0.08 | 14.29 | -12.73 | 48.62 | |
| LGL | LGL Group | -0.03 | 6 per month | 1.77 | 0.14 | 4.01 | -3.03 | 13.90 | |
| SPPL | SIMPPLE LTD Ordinary | -0.22 | 1 per month | 0.00 | -0.19 | 10.16 | -9.52 | 22.32 |
Other Forecasting Options for Data IO
Regardless of investment experience, understanding Data IO's price movement is essential for anyone considering a position in Data. Price charts for Data Stock are often filled with noise that can lead to poor investment choices if not properly filtered.Data IO Related Equities
The following equities are related to Data IO within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Data IO against peers on metrics such as P/E, margins, and return on equity helps contextualize its positioning and identify relative strengths or weaknesses.
| Risk & Return | Correlation |
Data IO Market Strength Events
Market strength indicators for Data IO give investors insight into the stock's responsiveness to broader market forces. Tracking these indicators helps investors make informed timing decisions and identify periods where trading Data IO is likely to be most rewarding.
Data IO Risk Indicators
A thorough review of Data IO's risk indicators is an important first step in forecasting its price and managing investment exposure. This analysis helps investors determine the appropriate level of risk to accept when holding Data IO's.
| Mean Deviation | 2.08 | |||
| Standard Deviation | 2.57 | |||
| Variance | 6.58 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Data IO
Coverage intensity for Data IO matters because narrative visibility can influence sentiment, participation, and volatility around the name. The stronger process compares story flow with performance, theme classification, and the level of short-term market interest.
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Latest Perspective From Macroaxis
Data IO Short Properties
Short sentiment tied to Data IO matters because heavier bearish pressure can change how quickly future price expectations become unstable. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
| Common Stock Shares Outstanding | 9.3 M | |
| Cash And Short Term Investments | 7.9 M |
More Resources for Data Stock Analysis
Understanding Data IO typically begins with financial statements and long-term trend review. Ratio context helps frame profitability, efficiency, and growth trends for Data IO Stock. Outlined below are key reports that provide context for Data IO Stock:Historical Fundamental Analysis of Data IO can be used to cross-verify projections for Data IO. The view provides historical context for the projection set. New to investing in Data Stock? Start with our How to Invest in Data Stock guide for a step-by-step overview.Analysis related to Data IO should be read together with other portfolio and risk tools before capital is reallocated. That is especially important when the goal is to improve the overall mix of instruments already held. You can also try the Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Quarterly Earnings Growth -0.83 | Earnings Share -0.31 | Revenue Per Share | Quarterly Revenue Growth -0.01 | Return On Assets |
Data IO market price can diverge from book value, the accounting figure shown on Data balance sheet. Data IO's market capitalization is 25.54 M. A P/B ratio of 1.82 indicates the market values Data IO above its accounting book value. Enterprise value stands at 18.49 M. Intrinsic value represents an estimate of underlying worth and can differ from both market price and book value. Valuation methods compare these perspectives to frame context.
It is useful to distinguish Data IO's value from its trading price, which are computed with different methods. For Data IO, key inputs include a P/E ratio of 28.32, a P/B ratio of 1.82, a profit margin of -16.16%, ROE of -20.84%. The quoted price is simply the exchange level where supply meets demand.