Silex Systems OTC Stock Forecast - Naive Prediction
| SILXF Stock | USD 3.63 0.08 2.16% |
The Naive Prediction forecasted value of Silex Systems Limited on the next trading day is expected to be 3.62 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.17. Silex OTC Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Silex Systems' historical fundamentals, such as revenue growth or operating cash flow patterns.
Silex |
Most investors in Silex Systems cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Silex Systems' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Silex Systems' price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Silex Systems is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Silex Systems Limited 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. Silex Systems Naive Prediction Price Forecast For the 16th of June 2024
Given 90 days horizon, the Naive Prediction forecasted value of Silex Systems Limited on the next trading day is expected to be 3.62 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.17.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 0.70 and 6.53, 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.
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 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 | 113.9282 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1012 |
| MAPE | Mean absolute percentage error | 0.0283 |
| SAE | Sum of the absolute errors | 6.1727 |
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 Limited. 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.
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 Limited 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 Limited 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.
| Mean Deviation | 2.23 | |||
| Semi Deviation | 2.19 | |||
| Standard Deviation | 2.92 | |||
| Variance | 8.52 | |||
| Downside Variance | 7.36 | |||
| Semi Variance | 4.8 | |||
| Expected Short fall | (2.91) |
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 Silex OTC Stock
Silex Systems financial ratios help investors to determine whether Silex OTC 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 Silex with respect to the benefits of owning Silex Systems security.