Singapore Technologies Engineering Stock Price Prediction
| SGGKF Stock | USD 3.31 0.00 0.00% |
Oversold Vs Overbought
64
Oversold | Overbought |
Using Singapore Technologies hype-based prediction, you can estimate the value of Singapore Technologies Engineering from the perspective of Singapore Technologies response to recently generated media hype and the effects of current headlines on its competitors.
The fear of missing out, i.e., FOMO, can cause potential investors in Singapore Technologies to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Singapore because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Singapore Technologies after-hype prediction price | USD 3.31 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Singapore |
Singapore Technologies After-Hype Price Prediction Density Analysis
As far as predicting the price of Singapore Technologies 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 Singapore Technologies 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 Pink Sheet prices, such as prices of Singapore Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Singapore Technologies Estimiated After-Hype Price Volatility
In the context of predicting Singapore Technologies' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Singapore Technologies' historical news coverage. Singapore Technologies' after-hype downside and upside margins for the prediction period are 0.59 and 6.03, respectively. We have considered Singapore Technologies' 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
Singapore Technologies is relatively risky at this time. Analysis and calculation of next after-hype price of Singapore Technologies is based on 3 months time horizon.
Singapore Technologies Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Singapore Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Singapore Technologies 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 Pink Sheet 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 Singapore Technologies, 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 |
0.22 | 2.72 | 0.31 | 0.04 | 16 Events / Month | 4 Events / Month | In about 16 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3.31 | 3.31 | 0.00 |
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Singapore Technologies Hype Timeline
Singapore Technologies is at this time traded for 3.31. The entity has historical hype elasticity of 0.31, and average elasticity to hype of competition of -0.04. Singapore is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 190.21%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is at this time at 0.22%. %. The volatility of related hype on Singapore Technologies is about 1412.99%, with the expected price after the next announcement by competition of 3.27. About 64.0% of the company shares are owned by institutional investors. The book value of Singapore Technologies was at this time reported as 0.75. The company has Price/Earnings To Growth (PEG) ratio of 1.29. Singapore Technologies last dividend was issued on the 6th of December 2022. Assuming the 90 days horizon the next forecasted press release will be in about 16 days. Check out Singapore Technologies Basic Forecasting Models to cross-verify your projections.Singapore Technologies Related Hype Analysis
Having access to credible news sources related to Singapore Technologies' direct competition is more important than ever and may enhance your ability to predict Singapore Technologies' future price movements. Getting to know how Singapore Technologies' 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 Singapore Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FTGFF | Firan Technology Group | 0.00 | 0 per month | 1.14 | 0.06 | 3.80 | (2.20) | 14.15 | |
| RNWR | 808 Renewable Energy | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| PKE | Park Electrochemical | 0.62 | 4 per month | 1.07 | 0.03 | 2.61 | (2.02) | 12.34 | |
| ISSC | Innovative Solutions and | 0.04 | 7 per month | 1.52 | 0.03 | 3.28 | (3.31) | 9.31 | |
| DCO | Ducommun Incorporated | (1.38) | 9 per month | 1.55 | (0.05) | 2.90 | (2.30) | 8.32 | |
| NPK | National Presto Industries | (0.21) | 7 per month | 1.39 | (0.03) | 2.43 | (2.44) | 8.03 | |
| WWD | Woodward | (0.14) | 8 per month | 1.59 | 0 | 2.58 | (2.76) | 6.12 | |
| ATRO | Astronics | (0.47) | 10 per month | 0.00 | (0.13) | 3.60 | (7.33) | 22.57 |
Singapore Technologies Additional Predictive Modules
Most predictive techniques to examine Singapore price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Singapore using various technical indicators. When you analyze Singapore 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 |
About Singapore Technologies Predictive Indicators
The successful prediction of Singapore Technologies stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Singapore Technologies Engineering, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Singapore Technologies based on analysis of Singapore Technologies hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Singapore Technologies's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Singapore Technologies's related companies.
Story Coverage note for Singapore Technologies
The number of cover stories for Singapore Technologies depends on current market conditions and Singapore Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Singapore Technologies 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 Singapore Technologies' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Singapore Technologies Short Properties
Singapore Technologies' future price predictability will typically decrease when Singapore Technologies' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Singapore Technologies Engineering often depends not only on the future outlook of the potential Singapore Technologies' 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. Singapore Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.1 B |
Complementary Tools for Singapore Pink Sheet analysis
When running Singapore Technologies' price analysis, check to measure Singapore Technologies' 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 Singapore Technologies is operating at the current time. Most of Singapore Technologies' value examination focuses on studying past and present price action to predict the probability of Singapore Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Singapore Technologies' price. Additionally, you may evaluate how the addition of Singapore Technologies to your portfolios can decrease your overall portfolio volatility.
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