SDN (Korea) Price Prediction
| 099220 Stock | KRW 1,260 25.00 2.02% |
Oversold Vs Overbought
35
Oversold | Overbought |
Using SDN hype-based prediction, you can estimate the value of SDN Company from the perspective of SDN 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 SDN to buy its stock at a price that has no basis in reality. In that case, they are not buying SDN 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 stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
SDN after-hype prediction price | KRW 1260.0 |
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.
SDN |
SDN After-Hype Price Prediction Density Analysis
As far as predicting the price of SDN 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 SDN 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 SDN, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SDN Estimiated After-Hype Price Volatility
In the context of predicting SDN's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SDN's historical news coverage. SDN's after-hype downside and upside margins for the prediction period are 1,256 and 1,264, respectively. We have considered SDN'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
SDN is very steady at this time. Analysis and calculation of next after-hype price of SDN Company is based on 3 months time horizon.
SDN Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SDN is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SDN 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 SDN, 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 |
0.27 | 3.63 | 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 | ||
1,260 | 1,260 | 0.00 |
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SDN Hype Timeline
SDN Company is presently traded for 1,260on KOSDAQ of Korea. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SDN 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 insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is presently at -0.27%. %. The volatility of related hype on SDN is about 0.0%, with the expected price after the next announcement by competition of 1,260. About 12.0% of the company shares are owned by insiders or employees . The company had not issued any dividends in recent years. SDN Company had 2:1 split on the 3rd of May 2010. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out SDN Basic Forecasting Models to cross-verify your projections.SDN Related Hype Analysis
Having access to credible news sources related to SDN's direct competition is more important than ever and may enhance your ability to predict SDN's future price movements. Getting to know how SDN'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 SDN may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 368970 | Organic Special Pet | 0.00 | 0 per month | 0.00 | (0.15) | 3.87 | (3.32) | 15.97 | |
| 290720 | Foodnamoo | 0.00 | 0 per month | 0.00 | (0.07) | 8.63 | (5.87) | 27.91 | |
| 071200 | INFINITT Healthcare Co | 0.00 | 0 per month | 0.00 | (0.07) | 3.02 | (2.94) | 10.85 | |
| 900120 | CKH Food Health | 0.00 | 0 per month | 0.00 | (0.15) | 4.82 | (4.60) | 18.05 | |
| 004410 | Seoul Food Industrial | 0.00 | 0 per month | 0.00 | (0.22) | 1.36 | (1.96) | 8.81 | |
| 005430 | Korea Air Svc | 0.00 | 0 per month | 2.15 | 0.02 | 4.87 | (4.17) | 10.66 | |
| 101530 | Haitai Confectionery Foods | 0.00 | 0 per month | 1.94 | (0.03) | 4.05 | (3.26) | 9.25 | |
| 246960 | InnoTherapy | 0.00 | 0 per month | 0.00 | (0.18) | 2.78 | (2.24) | 8.59 |
SDN Additional Predictive Modules
Most predictive techniques to examine SDN price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SDN using various technical indicators. When you analyze SDN 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 SDN Predictive Indicators
The successful prediction of SDN 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 SDN Company, 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 SDN based on analysis of SDN hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to SDN's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to SDN's related companies.
Story Coverage note for SDN
The number of cover stories for SDN depends on current market conditions and SDN's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SDN 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 SDN's 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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SDN Short Properties
SDN's future price predictability will typically decrease when SDN's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SDN Company often depends not only on the future outlook of the potential SDN'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. SDN's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 53.2 M | |
| Cash And Short Term Investments | 16.3 B |
Complementary Tools for SDN Stock analysis
When running SDN's price analysis, check to measure SDN'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 SDN is operating at the current time. Most of SDN's value examination focuses on studying past and present price action to predict the probability of SDN's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SDN's price. Additionally, you may evaluate how the addition of SDN to your portfolios can decrease your overall portfolio volatility.
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