Data IO Stock Forward View - Simple Moving Average
| DAIO Stock | USD 2.46 -0.09 -3.53% |
The Simple Moving Average forecast shown here for Data IO is reference data produced from the equity's historical price series. Accuracy metrics including mean absolute deviation are provided alongside the projection.
The Simple Moving Average forecasted value of Data IO on the next trading day is expected to be 2.46 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.80.The simple moving average model is conceptually a linear regression of the current value of Data IO price series against current and previous (unobserved) value of Data IO. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting prices into the future This Simple Moving Average reference page for Data IO presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 22nd of March
Given 90 days horizon, the Simple Moving Average forecasted value of Data IO on the next trading day is expected to be 2.46 with a mean absolute deviation of 0.06 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 3.80 .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).
Stock Forecast Pattern
| Backtest Data IO | Data IO Price Prediction | Research Analysis |
Forecasted Value
The next-day forecast for Data IO focuses on identifying predictive downside and upside bands that can frame a realistic trading range. Used properly, these levels provide context around forecast dispersion rather than certainty about the next closing print.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Moving Average 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 | 111.3142 |
| Bias | Arithmetic mean of the errors | 0.0128 |
| MAD | Mean absolute deviation | 0.0634 |
| MAPE | Mean absolute percentage error | 0.0212 |
| SAE | Sum of the absolute errors | 3.805 |
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 provides context to make informed timing decisions and identify periods where trading Data IO is likely to be most rewarding.
| Accumulation Distribution | 6438.62 | |||
| Daily Balance Of Power | -0.45 | |||
| Rate Of Daily Change | 0.96 | |||
| Day Median Price | 2.51 | |||
| Day Typical Price | 2.49 | |||
| Price Action Indicator | -0.1 | |||
| Period Momentum Indicator | -0.09 |
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 provides context for determining the appropriate level of risk to accept when holding Data IO's.
| Mean Deviation | 1.9 | |||
| Standard Deviation | 2.42 | |||
| Variance | 5.84 |
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
A coverage review of Data IO shows when the security is attracting above-average attention from contributors and market observers. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
Contributor Headline
Latest Perspective From Macroaxis
Data IO Short Properties
A short-interest review of Data IO provides context for understanding whether skepticism in the market is becoming more influential. This is most valuable when investors want to know whether bearish pressure is starting to shape the market's reaction function.
| Common Stock Shares Outstanding | 9.3 M | |
| Cash And Short Term Investments | 7.9 M |