Insignia Systems Stock Forecast - Naive Prediction

ISIGDelisted Stock  USD 7.74  0.23  2.89%   
The Naive Prediction forecasted value of Insignia Systems on the next trading day is expected to be 8.25 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.58. Insignia Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Insignia Systems' historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for Insignia Systems is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Insignia Systems value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Insignia Systems Naive Prediction Price Forecast For the 17th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Insignia Systems on the next trading day is expected to be 8.25 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.58.
Please note that although there have been many attempts to predict Insignia Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Insignia Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Insignia Systems Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Insignia Systems stock data series using in forecasting. Note that when a statistical model is used to represent Insignia Systems 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.
AICAkaike Information Criteria115.315
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1899
MAPEMean absolute percentage error0.0248
SAESum of the absolute errors11.581
This model is not at all useful as a medium-long range forecasting tool of Insignia Systems. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Insignia Systems. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Insignia Systems

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Insignia Systems. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
7.747.747.74
Details
Intrinsic
Valuation
LowRealHigh
6.526.528.51
Details

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Insignia Systems Market Strength Events

Market strength indicators help investors to evaluate how Insignia Systems stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Insignia Systems shares will generate the highest return on investment. By undertsting and applying Insignia Systems stock market strength indicators, traders can identify Insignia Systems entry and exit signals to maximize returns.

Insignia Systems Risk Indicators

The analysis of Insignia Systems' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Insignia Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting insignia stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

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Check out Risk vs Return Analysis to better understand how to build diversified portfolios. 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.
You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.

Other Consideration for investing in Insignia Stock

If you are still planning to invest in Insignia Systems check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Insignia Systems' history and understand the potential risks before investing.
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