Smith Micro Stock Forward View - Simple Moving Average
| SMSI Stock | USD 0.81 0.01 1.25% |
This page provides reference data for Smith Micro using Simple Moving Average forecasting. The projected value and error metrics are calculated from available daily price observations.
The Simple Moving Average forecasted value of Smith Micro Software on the next trading day is projected to be 0.81 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.55.The simple moving average model is conceptually a linear regression of the current value of Smith Micro Software price series against current and previous (unobserved) value of Smith Micro. 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 Smith Micro presents model-generated projections from historical price data for informational purposes. Simple Moving Average Price Forecast For the 21st of March
Given 90 days horizon, the Simple Moving Average forecasted value of Smith Micro Software on the next trading day is expected to be 0.81 with a mean absolute deviation of 0.03 , mean absolute percentage error of 0.0015 , and the sum of the absolute errors of 1.55 .Please note that although there have been many attempts to predict Smith 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 Smith Micro's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Stock Forecast Pattern
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Forecasted Value
Forecasting Smith Micro Software for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. 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 Smith Micro stock data series using in forecasting. Note that when a statistical model is used to represent Smith Micro 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 | 107.9288 |
| Bias | Arithmetic mean of the errors | -0.0067 |
| MAD | Mean absolute deviation | 0.0264 |
| MAPE | Mean absolute percentage error | 0.0435 |
| SAE | Sum of the absolute errors | 1.555 |
Other Forecasting Options for Smith Micro
For investors considering Smith, Smith Micro's price movement is the most direct driver of investment returns. Noise in Smith Stock price charts can make identifying meaningful trends difficult without dedicated analytical tools.Smith Micro Related Equities
The following equities are related to Smith Micro within the Information Technology space and can be used for peer comparison, relative valuation, or portfolio diversification. Comparing Smith Micro 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 |
Smith Micro Market Strength Events
Market strength indicators for Smith Micro provide investors with a view of how the stock performs across different market environments. By analyzing these indicators, traders can determine the best moments to enter or exit positions in Smith Micro Software.
Smith Micro Risk Indicators
A structured analysis of Smith Micro's risk indicators is one of the most reliable ways to improve the accuracy of price forecasts. Understanding the risk embedded in Smith Micro's allows investors to decide whether to accept, reduce, or hedge their exposure.
| Mean Deviation | 4.03 | |||
| Semi Deviation | 3.87 | |||
| Standard Deviation | 5.71 | |||
| Variance | 32.59 | |||
| Downside Variance | 22.47 | |||
| Semi Variance | 15.0 | |||
| Expected Short fall | -5.65 |
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 Smith Micro
The amount of media and story coverage tied to Smith Micro Software can signal where market attention is concentrating at the moment. Used properly, this context can help investors judge whether visibility is reinforcing the thesis or attracting more speculative pressure.
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Smith Micro Short Properties
Short-interest signals around Smith Micro Software can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. A disciplined short-interest review can make timing decisions more informed under rising skepticism.
| Common Stock Shares Outstanding | 20.6 M | |
| Cash And Short Term Investments | 1.5 M |