Lotte Data (Korea) Price Prediction
| 286940 Stock | 27,150 850.00 3.04% |
Oversold Vs Overbought
41
Oversold | Overbought |
Lotte Data Communication stock price prediction is an act of determining the future value of Lotte Data shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of Lotte Data's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of Lotte Data and does not consider all of the tangible or intangible factors available from Lotte Data's fundamental data. We analyze noise-free headlines and recent hype associated with Lotte Data Communication, which may create opportunities for some arbitrage if properly timed.
It is a matter of debate whether stock 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 Lotte Data based on different types of headlines from major news networks to social media. The Lotte stock price prediction module provides an analysis of price elasticity to changes in media outlook on Lotte Data over a specific investment horizon. Using Lotte Data hype-based prediction, you can estimate the value of Lotte Data Communication from the perspective of Lotte Data response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in Lotte Data. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in Lotte Data to buy its stock at a price that has no basis in reality. In that case, they are not buying Lotte 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.
Lotte Data after-hype prediction price | KRW 27150.0 |
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.
Lotte |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Lotte Data's 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.
Lotte Data After-Hype Price Prediction Density Analysis
As far as predicting the price of Lotte Data 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 Lotte Data 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 Lotte Data, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Lotte Data Estimiated After-Hype Price Volatility
In the context of predicting Lotte Data's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Lotte Data's historical news coverage. Lotte Data's after-hype downside and upside margins for the prediction period are 27,148 and 27,152, respectively. We have considered Lotte Data'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
Lotte Data is very steady at this time. Analysis and calculation of next after-hype price of Lotte Data Communication is based on 3 months time horizon.
Lotte Data Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Lotte Data is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Lotte Data 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 Lotte Data, 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 |
0.48 | 2.34 | 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 | ||
27,150 | 27,150 | 0.00 |
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Lotte Data Hype Timeline
Lotte Data Communication is presently traded for 27,150on Korea Stock Exchange of Korea. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Lotte 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 -0.48%. %. The volatility of related hype on Lotte Data is about 0.0%, with the expected price after the next announcement by competition of 27,150. About 67.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 0.84. In the past many companies with similar price-to-book ratios have beat the market. Lotte Data Communication recorded earning per share (EPS) of 595.69. The entity last dividend was issued on the 28th of December 2022. The firm had 1:0 split on the 3rd of March 2024. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out Lotte Data Basic Forecasting Models to cross-verify your projections.Lotte Data Related Hype Analysis
Having access to credible news sources related to Lotte Data's direct competition is more important than ever and may enhance your ability to predict Lotte Data's future price movements. Getting to know how Lotte Data'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 Lotte Data may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 034730 | SK Holdings Co | 0.00 | 0 per month | 0.00 | (0.07) | 4.37 | (2.97) | 9.39 | |
| 009190 | Daiyang Metal Co | 0.00 | 0 per month | 4.77 | 0.08 | 8.88 | (4.32) | 44.45 | |
| 351320 | Solution Advanced Technology | 0.00 | 0 per month | 0.00 | (0.20) | 2.31 | (4.00) | 19.55 | |
| 011390 | Busan Industrial Co | 0.00 | 0 per month | 0.00 | (0.15) | 2.07 | (1.83) | 8.66 | |
| 033290 | COWELL FASHION CoLtd | 0.00 | 0 per month | 0.00 | (0.13) | 4.26 | (3.81) | 11.36 | |
| 133820 | Finebesteel | 0.00 | 0 per month | 1.93 | 0.05 | 5.39 | (3.04) | 21.35 | |
| 133820 | Fine Besteel Co | 0.00 | 0 per month | 1.93 | 0.05 | 5.39 | (3.04) | 21.35 | |
| 005950 | ISU Chemical Co | 0.00 | 0 per month | 0.00 | (0.11) | 4.19 | (2.84) | 14.42 | |
| 005950 | Isu Chemical Co | 0.00 | 0 per month | 0.00 | (0.11) | 4.19 | (2.84) | 14.42 |
Lotte Data Additional Predictive Modules
Most predictive techniques to examine Lotte price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Lotte using various technical indicators. When you analyze Lotte 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 Lotte Data Predictive Indicators
The successful prediction of Lotte Data 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 Lotte Data Communication, 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 Lotte Data based on analysis of Lotte Data hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Lotte Data's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Lotte Data's related companies. Story Coverage note for Lotte Data
The number of cover stories for Lotte Data depends on current market conditions and Lotte Data's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Lotte Data 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 Lotte Data'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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Lotte Data Short Properties
Lotte Data's future price predictability will typically decrease when Lotte Data's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Lotte Data Communication often depends not only on the future outlook of the potential Lotte Data'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. Lotte Data's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 15.1 M |
Check out Lotte Data Basic Forecasting Models to cross-verify your projections. Note that the Lotte Data Communication information on this page should be used as a complementary analysis to other Lotte Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Complementary Tools for Lotte Stock analysis
When running Lotte Data's price analysis, check to measure Lotte Data'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 Lotte Data is operating at the current time. Most of Lotte Data's value examination focuses on studying past and present price action to predict the probability of Lotte Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Lotte Data's price. Additionally, you may evaluate how the addition of Lotte Data to your portfolios can decrease your overall portfolio volatility.
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