Silex Systems OTC Stock Forecast - Simple Exponential Smoothing

SILXY Stock  USD 16.03  0.17  1.05%   
The Simple Exponential Smoothing forecasted value of Silex Systems Ltd on the next trading day is expected to be 16.03 with a mean absolute deviation of 0.40 and the sum of the absolute errors of 24.19. Silex OTC Stock Forecast is based on your current time horizon.
  
Silex Systems simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Silex Systems Ltd are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Silex Systems prices get older.

Silex Systems Simple Exponential Smoothing Price Forecast For the 12th of October 2024

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Silex Systems Ltd on the next trading day is expected to be 16.03 with a mean absolute deviation of 0.40, mean absolute percentage error of 0.36, and the sum of the absolute errors of 24.19.
Please note that although there have been many attempts to predict Silex OTC 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 Silex Systems' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Silex Systems OTC Stock Forecast Pattern

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Silex Systems Forecasted Value

In the context of forecasting Silex Systems' OTC 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. Silex Systems' downside and upside margins for the forecasting period are 11.88 and 20.18, respectively. We have considered Silex Systems' 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
16.03
16.03
Expected Value
20.18
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Silex Systems otc stock data series using in forecasting. Note that when a statistical model is used to represent Silex Systems otc 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 Criteria115.2593
BiasArithmetic mean of the errors 0.0295
MADMean absolute deviation0.4032
MAPEMean absolute percentage error0.0285
SAESum of the absolute errors24.19
This simple exponential smoothing model begins by setting Silex Systems Ltd forecast for the second period equal to the observation of the first period. In other words, recent Silex Systems observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Silex 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 Silex Systems. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Silex Systems' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
11.8816.0320.18
Details
Intrinsic
Valuation
LowRealHigh
8.8212.9717.12
Details
Bollinger
Band Projection (param)
LowMiddleHigh
11.0013.9116.82
Details

Other Forecasting Options for Silex Systems

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

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 Risk & Return  Correlation

Silex Systems Technical and Predictive Analytics

The otc stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Silex Systems' 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 Silex Systems' current price.

Silex Systems Market Strength Events

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

Silex Systems Risk Indicators

The analysis of Silex 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 Silex Systems' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silex otc 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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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Additional Tools for Silex OTC Stock Analysis

When running Silex Systems' price analysis, check to measure Silex Systems' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Silex Systems is operating at the current time. Most of Silex Systems' value examination focuses on studying past and present price action to predict the probability of Silex Systems' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silex Systems' price. Additionally, you may evaluate how the addition of Silex Systems to your portfolios can decrease your overall portfolio volatility.