SCI Electric Stock Forecast - Naive Prediction

SCI Stock  THB 0.80  0.02  2.44%   
The Naive Prediction forecasted value of SCI Electric Public on the next trading day is expected to be 0.76 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.30. SCI Stock Forecast is based on your current time horizon.
  
A naive forecasting model for SCI Electric is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of SCI Electric Public 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.

SCI Electric Naive Prediction Price Forecast For the 25th of November

Given 90 days horizon, the Naive Prediction forecasted value of SCI Electric Public on the next trading day is expected to be 0.76 with a mean absolute deviation of 0.04, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.30.
Please note that although there have been many attempts to predict SCI 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 SCI Electric's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SCI Electric Stock Forecast Pattern

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SCI Electric Forecasted Value

In the context of forecasting SCI Electric'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. SCI Electric's downside and upside margins for the forecasting period are 0.01 and 126.60, respectively. We have considered SCI Electric'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
0.80
0.76
Expected Value
126.60
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 SCI Electric stock data series using in forecasting. Note that when a statistical model is used to represent SCI Electric 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 Criteria113.6158
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0378
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors2.3046
This model is not at all useful as a medium-long range forecasting tool of SCI Electric Public. 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 SCI Electric. 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 SCI Electric

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SCI Electric Public. 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
0.040.8090.80
Details
Intrinsic
Valuation
LowRealHigh
0.030.6090.60
Details

Other Forecasting Options for SCI Electric

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

SCI Electric 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 SCI Electric stock to make a market-neutral strategy. Peer analysis of SCI Electric could also be used in its relative valuation, which is a method of valuing SCI Electric by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SCI Electric Public 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 SCI Electric'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 SCI Electric's current price.

SCI Electric Market Strength Events

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

SCI Electric Risk Indicators

The analysis of SCI Electric's 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 SCI Electric's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sci 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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Other Information on Investing in SCI Stock

SCI Electric financial ratios help investors to determine whether SCI Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in SCI with respect to the benefits of owning SCI Electric security.