Silicon Touch Stock Forecast - Simple Exponential Smoothing
| 3288 Stock | TWD 16.75 0.10 0.60% |
The Simple Exponential Smoothing forecasted value of Silicon Touch Technology on the next trading day is expected to be 16.75 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 24.60. Silicon Stock Forecast is based on your current time horizon.
As of today the value of rsi of Silicon Touch's share price is below 20 . This suggests that the 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 |
Using Silicon Touch hype-based prediction, you can estimate the value of Silicon Touch Technology from the perspective of Silicon Touch response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Silicon Touch Technology on the next trading day is expected to be 16.75 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 24.60. Silicon Touch after-hype prediction price | TWD 16.65 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Silicon |
Silicon Touch Additional Predictive Modules
Most predictive techniques to examine Silicon price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Silicon using various technical indicators. When you analyze Silicon 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 |
Silicon Touch Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Silicon Touch Technology on the next trading day is expected to be 16.75 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.39, and the sum of the absolute errors of 24.60.Please note that although there have been many attempts to predict Silicon 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 Silicon Touch's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Silicon Touch Stock Forecast Pattern
| Backtest Silicon Touch | Silicon Touch Price Prediction | Buy or Sell Advice |
Silicon Touch Forecasted Value
In the context of forecasting Silicon Touch'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. Silicon Touch's downside and upside margins for the forecasting period are 13.27 and 20.23, respectively. We have considered Silicon Touch'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.
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 Silicon Touch stock data series using in forecasting. Note that when a statistical model is used to represent Silicon Touch 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 | 115.3376 |
| Bias | Arithmetic mean of the errors | 0.005 |
| MAD | Mean absolute deviation | 0.41 |
| MAPE | Mean absolute percentage error | 0.0232 |
| SAE | Sum of the absolute errors | 24.6 |
Predictive Modules for Silicon Touch
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Silicon Touch Technology. 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.Silicon Touch After-Hype Price Prediction Density Analysis
As far as predicting the price of Silicon Touch 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 Silicon Touch 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 Stock prices, such as prices of Silicon Touch, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Silicon Touch Estimiated After-Hype Price Volatility
In the context of predicting Silicon Touch's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Silicon Touch's historical news coverage. Silicon Touch's after-hype downside and upside margins for the prediction period are 13.14 and 20.16, respectively. We have considered Silicon Touch's 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
Silicon Touch is not too volatile at this time. Analysis and calculation of next after-hype price of Silicon Touch Technology is based on 3 months time horizon.
Silicon Touch Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Silicon Touch is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Silicon Touch 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 Stock 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 Silicon Touch, 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 |
0.11 | 3.48 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
16.75 | 16.65 | 0.00 |
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Silicon Touch Hype Timeline
Silicon Touch Technology is presently traded for 16.75on Taiwan OTC Exchange of Taiwan. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Silicon is anticipated not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is anticipated to be very small, whereas the daily expected return is presently at 0.11%. %. The volatility of related hype on Silicon Touch is about 0.0%, with the expected price after the next announcement by competition of 16.75. About 40.0% of the company shares are owned by insiders or employees . The book value of Silicon Touch was presently reported as 5.51. The company has Price/Earnings (P/E) ratio of 104.03. Silicon Touch Technology recorded a loss per share of 0.35. The entity had 1000.00 - 661.00 split on the 14th of December 2018. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days. Check out Historical Fundamental Analysis of Silicon Touch to cross-verify your projections.Silicon Touch Related Hype Analysis
Having access to credible news sources related to Silicon Touch's direct competition is more important than ever and may enhance your ability to predict Silicon Touch's future price movements. Getting to know how Silicon Touch's 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 Silicon Touch may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 3095 | Chi Cheng Enterprise | 0.00 | 0 per month | 1.82 | 0.06 | 4.11 | (3.85) | 13.04 | |
| 6473 | meimaii Technology Co | 0.00 | 0 per month | 0.00 | (0.06) | 4.96 | (5.05) | 26.23 | |
| 5348 | Empower Technology | 0.00 | 0 per month | 0.00 | (0.19) | 3.25 | (2.87) | 9.25 | |
| 6784 | Tsky CoLtd | 0.00 | 0 per month | 1.58 | 0.09 | 4.14 | (4.37) | 13.95 | |
| 4529 | Electric Power Technology | 0.00 | 0 per month | 0.00 | (0.11) | 2.92 | (3.09) | 16.45 | |
| 6673 | Innovision FlexTech | 0.00 | 0 per month | 0.00 | (0.11) | 3.77 | (4.62) | 14.86 | |
| 6259 | Bull Will Co | 0.00 | 0 per month | 1.72 | 0.03 | 4.11 | (3.23) | 9.36 | |
| 2321 | Tecom Co | 0.00 | 0 per month | 0.00 | (0.05) | 5.69 | (4.32) | 12.46 | |
| 6428 | Taiwan Taomee Co | 0.00 | 0 per month | 0.00 | (0.22) | 2.61 | (3.64) | 10.88 | |
| 6882 | Reallusion | 0.00 | 0 per month | 4.24 | 0.10 | 9.32 | (6.21) | 15.48 |
Other Forecasting Options for Silicon Touch
For every potential investor in Silicon, whether a beginner or expert, Silicon Touch's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Silicon Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Silicon. Basic forecasting techniques help filter out the noise by identifying Silicon Touch's price trends.Silicon Touch 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 Silicon Touch stock to make a market-neutral strategy. Peer analysis of Silicon Touch could also be used in its relative valuation, which is a method of valuing Silicon Touch by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Silicon Touch Market Strength Events
Market strength indicators help investors to evaluate how Silicon Touch stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Silicon Touch shares will generate the highest return on investment. By undertsting and applying Silicon Touch stock market strength indicators, traders can identify Silicon Touch Technology entry and exit signals to maximize returns.
| Accumulation Distribution | 3671.11 | |||
| Daily Balance Of Power | 0.08 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 17.38 | |||
| Day Typical Price | 17.17 | |||
| Price Action Indicator | (0.57) | |||
| Period Momentum Indicator | 0.1 |
Silicon Touch Risk Indicators
The analysis of Silicon Touch'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 Silicon Touch's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting silicon 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 | 2.22 | |||
| Semi Deviation | 2.67 | |||
| Standard Deviation | 3.4 | |||
| Variance | 11.57 | |||
| Downside Variance | 9.71 | |||
| Semi Variance | 7.13 | |||
| 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.
Story Coverage note for Silicon Touch
The number of cover stories for Silicon Touch depends on current market conditions and Silicon Touch's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Silicon Touch 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 Silicon Touch's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Silicon Touch Short Properties
Silicon Touch's future price predictability will typically decrease when Silicon Touch's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Silicon Touch Technology often depends not only on the future outlook of the potential Silicon Touch's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Silicon Touch's indicators that are reflective of the short sentiment are summarized in the table below.
| Average Daily Volume Last 10 Day | 18.9k | |
| Average Daily Volume In Three Month | 8.71k |
Additional Tools for Silicon Stock Analysis
When running Silicon Touch's price analysis, check to measure Silicon Touch's 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 Silicon Touch is operating at the current time. Most of Silicon Touch's value examination focuses on studying past and present price action to predict the probability of Silicon Touch's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Silicon Touch's price. Additionally, you may evaluate how the addition of Silicon Touch to your portfolios can decrease your overall portfolio volatility.