Hai Kwang (Taiwan) Price Prediction
| 2038 Stock | TWD 15.60 0.10 0.64% |
Oversold Vs Overbought
35
Oversold | Overbought |
Using Hai Kwang hype-based prediction, you can estimate the value of Hai Kwang Enterprise from the perspective of Hai Kwang 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 Hai Kwang to buy its stock at a price that has no basis in reality. In that case, they are not buying Hai 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.
Hai Kwang after-hype prediction price | TWD 15.7 |
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.
Hai |
Hai Kwang After-Hype Price Prediction Density Analysis
As far as predicting the price of Hai Kwang 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 Hai Kwang 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 Hai Kwang, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hai Kwang Estimiated After-Hype Price Volatility
In the context of predicting Hai Kwang's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hai Kwang's historical news coverage. Hai Kwang's after-hype downside and upside margins for the prediction period are 13.57 and 17.83, respectively. We have considered Hai Kwang'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
Hai Kwang is not too volatile at this time. Analysis and calculation of next after-hype price of Hai Kwang Enterprise is based on 3 months time horizon.
Hai Kwang Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Hai Kwang is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hai Kwang 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 Hai Kwang, 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 | 1.68 | 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 | ||
15.60 | 15.70 | 0.00 |
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Hai Kwang Hype Timeline
Hai Kwang Enterprise is presently traded for 15.60on Taiwan Stock Exchange of Taiwan. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Hai 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 -0.32%. %. The volatility of related hype on Hai Kwang is about 0.0%, with the expected price after the next announcement by competition of 15.60. About 48.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.99. In the past many companies with similar price-to-book ratios have beat the market. Hai Kwang Enterprise last dividend was issued on the 26th of August 2022. The entity had 1000:1050 split on the 27th of August 2023. Assuming the 90 days trading horizon the next anticipated press release will be in 5 to 10 days. Check out Hai Kwang Basic Forecasting Models to cross-verify your projections.Hai Kwang Related Hype Analysis
Having access to credible news sources related to Hai Kwang's direct competition is more important than ever and may enhance your ability to predict Hai Kwang's future price movements. Getting to know how Hai Kwang'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 Hai Kwang may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 2014 | Chung Hung Steel | 0.00 | 0 per month | 0.00 | (0.03) | 4.39 | (2.55) | 15.09 | |
| 2030 | Froch Enterprise Co | 0.00 | 0 per month | 0.00 | (0.03) | 2.24 | (2.47) | 13.90 | |
| 2031 | Hsin Kuang Steel | 0.00 | 0 per month | 0.00 | (0.26) | 1.49 | (3.00) | 8.10 | |
| 2028 | Wei Chih Steel | 0.00 | 0 per month | 0.00 | (0.12) | 1.69 | (2.93) | 13.88 | |
| 2010 | Chun Yuan Steel | 0.00 | 0 per month | 1.13 | 0 | 2.80 | (2.15) | 7.83 |
Hai Kwang Additional Predictive Modules
Most predictive techniques to examine Hai price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hai using various technical indicators. When you analyze Hai 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 Hai Kwang Predictive Indicators
The successful prediction of Hai Kwang 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 Hai Kwang Enterprise, 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 Hai Kwang based on analysis of Hai Kwang hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Hai Kwang's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Hai Kwang's related companies.
Story Coverage note for Hai Kwang
The number of cover stories for Hai Kwang depends on current market conditions and Hai Kwang's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Hai Kwang 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 Hai Kwang'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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Hai Kwang Short Properties
Hai Kwang's future price predictability will typically decrease when Hai Kwang's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Hai Kwang Enterprise often depends not only on the future outlook of the potential Hai Kwang'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. Hai Kwang's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 181.3 M |
Additional Tools for Hai Stock Analysis
When running Hai Kwang's price analysis, check to measure Hai Kwang'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 Hai Kwang is operating at the current time. Most of Hai Kwang's value examination focuses on studying past and present price action to predict the probability of Hai Kwang's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hai Kwang's price. Additionally, you may evaluate how the addition of Hai Kwang to your portfolios can decrease your overall portfolio volatility.