# Silex Systems OTC Stock Forecast - Simple Regression

 SILXY Stock USD 14.35  0.25  1.71%
The Simple Regression forecasted value of Silex Systems Ltd on the next trading day is expected to be 13.65 with a mean absolute deviation of 0.63 and the sum of the absolute errors of 39.18. Silex OTC Stock Forecast is based on your current time horizon.
 Silex
Simple Regression model is a single variable regression model that attempts to put a straight line through Silex Systems price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

## Silex Systems Simple Regression Price Forecast For the 16th of August 2024

Given 90 days horizon, the Simple Regression forecasted value of Silex Systems Ltd on the next trading day is expected to be 13.65 with a mean absolute deviation of 0.63, mean absolute percentage error of 0.53, and the sum of the absolute errors of 39.18.
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 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 10.40 and 16.90, 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
 10.40Downside 13.65Expected ValueTarget Odds 16.90Upside

## Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression 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.
 AIC Akaike Information Criteria 119.3107 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 0.6319 MAPE Mean absolute percentage error 0.0365 SAE Sum of the absolute errors 39.1754
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Silex Systems Ltd historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

## 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
 Low Estimated High 11.10 14.35 17.60
Intrinsic
Valuation
 Low Real High 10.96 14.21 17.46
Bollinger
Band Projection (param)
 Low Middle High 12.69 15.48 18.27

## 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.

## View Silex Systems Related Equities

 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.
 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

## 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.
 Daily Balance Of Power (9,223,372,036,855) Rate Of Daily Change 0.98 Day Median Price 14.35 Day Typical Price 14.35 Price Action Indicator (0.12) Period Momentum Indicator (0.25)

## 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.
 Mean Deviation 2.29 Standard Deviation 3.27 Variance 10.71
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.

## Also Currently Popular

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.