Silex Systems OTC Stock Forecast - Simple Regression
| SILXY Stock | USD 23.10 0.57 2.41% |
The Simple Regression forecasted value of Silex Systems Ltd on the next trading day is expected to be 23.36 with a mean absolute deviation of 1.92 and the sum of the absolute errors of 117.35. Silex OTC Stock Forecast is based on your current time horizon.
At this time the value of rsi of Silex Systems' share price is below 20 . This usually implies that the otc stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
It is a matter of debate whether otc price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of Silex Systems based on different types of headlines from major news networks to social media. Using Silex Systems hype-based prediction, you can estimate the value of Silex Systems Ltd from the perspective of Silex Systems response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Silex Systems Ltd on the next trading day is expected to be 23.36 with a mean absolute deviation of 1.92 and the sum of the absolute errors of 117.35. Silex Systems after-hype prediction price | USD 23.11 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as otc price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Silex |
Silex Systems Additional Predictive Modules
Most predictive techniques to examine Silex price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Silex using various technical indicators. When you analyze Silex charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Silex Systems Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Silex Systems Ltd on the next trading day is expected to be 23.36 with a mean absolute deviation of 1.92, mean absolute percentage error of 5.59, and the sum of the absolute errors of 117.35.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
| Backtest Silex Systems | Silex Systems Price Prediction | Buy or Sell Advice |
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 17.14 and 29.58, 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 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 | 119.8306 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.9238 |
| MAPE | Mean absolute percentage error | 0.0706 |
| SAE | Sum of the absolute errors | 117.3535 |
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.
Silex Systems After-Hype Price Prediction Density Analysis
As far as predicting the price of Silex Systems at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Silex Systems or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of OTC Stock prices, such as prices of Silex Systems, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Silex Systems Estimiated After-Hype Price Volatility
In the context of predicting Silex Systems' otc stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Silex Systems' historical news coverage. Silex Systems' after-hype downside and upside margins for the prediction period are 16.89 and 29.33, respectively. We have considered Silex Systems' daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Silex Systems is somewhat reliable at this time. Analysis and calculation of next after-hype price of Silex Systems is based on 3 months time horizon.
Silex Systems OTC Stock Price Prediction Analysis
Have you ever been surprised when a price of a OTC Stock such as Silex Systems is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Silex Systems backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the OTC price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Silex Systems, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.32 | 6.22 | 0.01 | 0.02 | 4 Events / Month | 4 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
23.10 | 23.11 | 0.04 |
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Silex Systems Hype Timeline
Silex Systems is at this time traded for 23.10. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of 0.02. Silex is anticipated to increase in value after the next headline, with the price projected to jump to 23.11 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is projected to be 0.04%, whereas the daily expected return is at this time at -0.32%. The volatility of related hype on Silex Systems is about 9147.06%, with the expected price after the next announcement by competition of 23.12. The company reported the revenue of 4.22 M. Net Loss for the year was (9.46 M) with loss before overhead, payroll, taxes, and interest of (636.37 K). Assuming the 90 days horizon the next anticipated press release will be in about 4 days. Check out Historical Fundamental Analysis of Silex Systems to cross-verify your projections.Silex Systems Related Hype Analysis
Having access to credible news sources related to Silex Systems' direct competition is more important than ever and may enhance your ability to predict Silex Systems' future price movements. Getting to know how Silex Systems' peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Silex Systems may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AUKUF | ams AG | 0.05 | 15 per month | 0.00 | (0.13) | 3.25 | (5.17) | 30.50 | |
| OXINF | Oxford Instruments plc | 0.05 | 16 per month | 0.00 | 0.06 | 0.21 | 0.00 | 22.24 | |
| ASMVY | Asm Pacific Technology | 0.02 | 4 per month | 2.32 | 0.1 | 5.66 | (4.24) | 16.81 | |
| SLOIY | Soitec SA ADR | 0.27 | 2 per month | 0.00 | (0.12) | 0.00 | 0.00 | 43.28 | |
| SSLLF | Siltronic AG | 0.00 | 0 per month | 0.00 | (0.0006) | 0.00 | 0.00 | 11.75 | |
| ASAAF | AT S Austria | 0.27 | 2 per month | 0.00 | 0.1 | 0.00 | 0.00 | 39.51 | |
| SFDMY | Shanghai Fudan Microelectronics | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| MYBUF | Meyer Burger Technology | 0.02 | 4 per month | 0.00 | 0.20 | 50.00 | (33.33) | 50,000 | |
| DLGEF | Digital Garage | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| ATEAY | Atea ASA | 0.00 | 0 per month | 0.00 | 0.05 | 4.54 | (0.85) | 17.19 |
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.Silex Systems 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 Silex Systems otc stock to make a market-neutral strategy. Peer analysis of Silex Systems could also be used in its relative valuation, which is a method of valuing Silex Systems by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
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.
| Mean Deviation | 4.19 | |||
| Semi Deviation | 6.94 | |||
| Standard Deviation | 6.25 | |||
| Variance | 39.11 | |||
| Downside Variance | 53.46 | |||
| Semi Variance | 48.11 | |||
| Expected Short fall | (4.24) |
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.
Story Coverage note for Silex Systems
The number of cover stories for Silex Systems depends on current market conditions and Silex Systems' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Silex Systems is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Silex Systems' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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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.