Simtrol Stock Forecast - Naive Prediction

The Naive Prediction forecasted value of Simtrol on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00 and the sum of the absolute errors of 0.00. Simtrol Stock Forecast is based on your current time horizon. Although Simtrol's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Simtrol's systematic risk associated with finding meaningful patterns of Simtrol fundamentals over time.
At this time, Simtrol's Inventory Turnover is quite stable compared to the past year. Receivables Turnover is expected to rise to 15.88 this year, although the value of Payables Turnover will most likely fall to 0.93. . The value of Common Stock Shares Outstanding is expected to slide to about 7.1 M. The value of Net Loss is expected to slide to about (3 M).

Simtrol Cash Forecast

To forecast cash or other financial indicators, analysts must employ diverse statistical methods, techniques, and algorithms. This approach allows them to detect underlying patterns in the Simtrol's financial statements, predicting their influence on future market prices.
 
Cash  
First Reported
1992-03-31
Previous Quarter
20 K
Current Value
24.8 K
Quarterly Volatility
1.1 M
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Simtrol is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Simtrol 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.

Simtrol Naive Prediction Price Forecast For the 28th of December

Given 90 days horizon, the Naive Prediction forecasted value of Simtrol on the next trading day is expected to be 0.00 with a mean absolute deviation of 0.00, mean absolute percentage error of 0.00, and the sum of the absolute errors of 0.00.
Please note that although there have been many attempts to predict Simtrol 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 Simtrol's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Simtrol Stock Forecast Pattern

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Simtrol Forecasted Value

In the context of forecasting Simtrol's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Simtrol's downside and upside margins for the forecasting period are 0.00 and 0.00, respectively. We have considered Simtrol's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.00
0.00
Expected Value
0.00
Upside

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 Simtrol stock data series using in forecasting. Note that when a statistical model is used to represent Simtrol 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 Criteria-9.223372036854776E14
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error0.0
SAESum of the absolute errors0.0
This model is not at all useful as a medium-long range forecasting tool of Simtrol. 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 Simtrol. 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 Simtrol

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Simtrol. 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
0.000.000.00
Details
Intrinsic
Valuation
LowRealHigh
0.000.000.00
Details

Other Forecasting Options for Simtrol

For every potential investor in Simtrol, whether a beginner or expert, Simtrol's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Simtrol Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Simtrol. Basic forecasting techniques help filter out the noise by identifying Simtrol's price trends.

Simtrol Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Simtrol stock to make a market-neutral strategy. Peer analysis of Simtrol could also be used in its relative valuation, which is a method of valuing Simtrol by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Simtrol Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Simtrol's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Simtrol's current price.

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When determining whether Simtrol is a strong investment it is important to analyze Simtrol's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Simtrol's future performance. For an informed investment choice regarding Simtrol Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Simtrol to cross-verify your projections.
For more information on how to buy Simtrol Stock please use our How to buy in Simtrol Stock guide.
You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
Is Application Software 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 Simtrol. If investors know Simtrol 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 Simtrol listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Revenue Per Share
0.036
Quarterly Revenue Growth
1.905
Return On Assets
(1.88)
The market value of Simtrol is measured differently than its book value, which is the value of Simtrol that is recorded on the company's balance sheet. Investors also form their own opinion of Simtrol's value that differs from its market value or its book value, called intrinsic value, which is Simtrol'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 Simtrol's market value can be influenced by many factors that don't directly affect Simtrol'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 Simtrol's value and its price as these two are different measures arrived at by different means. Investors typically determine if Simtrol is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Simtrol'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.