Logismos Information (Greece) Price Prediction
| LOGISMOS | EUR 1.25 0.02 1.63% |
Oversold Vs Overbought
40
Oversold | Overbought |
Using Logismos Information hype-based prediction, you can estimate the value of Logismos Information Systems from the perspective of Logismos Information 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 Logismos Information to buy its stock at a price that has no basis in reality. In that case, they are not buying Logismos 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.
Logismos Information after-hype prediction price | EUR 1.25 |
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.
Logismos |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Logismos Information'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.
Logismos Information After-Hype Price Prediction Density Analysis
As far as predicting the price of Logismos Information 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 Logismos Information 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 Logismos Information, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Logismos Information Estimiated After-Hype Price Volatility
In the context of predicting Logismos Information's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Logismos Information's historical news coverage. Logismos Information's after-hype downside and upside margins for the prediction period are 0.24 and 2.26, respectively. We have considered Logismos Information'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
Logismos Information is relatively risky at this time. Analysis and calculation of next after-hype price of Logismos Information is based on 3 months time horizon.
Logismos Information Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Logismos Information is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Logismos Information 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 Logismos Information, 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 | 1.01 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
1.25 | 1.25 | 0.00 |
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Logismos Information Hype Timeline
Logismos Information is now traded for 1.25on Athens Exchange of Greece. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Logismos is projected 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 projected to be very small, whereas the daily expected return is now at -0.22%. %. The volatility of related hype on Logismos Information is about 0.0%, with the expected price after the next announcement by competition of 1.25. About 70.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.08. Logismos Information last dividend was issued on the 14th of March 2003. Assuming the 90 days trading horizon the next projected press release will be uncertain. Check out Logismos Information Basic Forecasting Models to cross-verify your projections.Logismos Information Related Hype Analysis
Having access to credible news sources related to Logismos Information's direct competition is more important than ever and may enhance your ability to predict Logismos Information's future price movements. Getting to know how Logismos Information'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 Logismos Information may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LOGISMOS | Logismos Information Systems | 0.00 | 0 per month | 0.00 | (0.27) | 1.60 | (2.17) | 5.78 | |
| ETE | National Bank of | 0.00 | 0 per month | 0.00 | (0.19) | 2.79 | (2.42) | 7.88 | |
| MOYZK | EL D Mouzakis | 0.00 | 0 per month | 2.18 | 0.01 | 4.92 | (4.69) | 18.50 | |
| LAMPS | Lampsa Hellenic Hotels | 0.00 | 0 per month | 0.00 | (0.20) | 1.60 | (1.57) | 4.82 | |
| EPIL | Selected Textiles SA | 0.00 | 0 per month | 0.00 | (0.01) | 9.09 | (8.33) | 18.18 | |
| EUROB | Eurobank Ergasias Services | 0.00 | 0 per month | 0.00 | (0.09) | 2.05 | (2.01) | 6.09 | |
| ATRUST | Alpha Trust Mutual | 0.00 | 0 per month | 0.25 | (0.16) | 0.69 | (0.47) | 2.31 | |
| IKTIN | Iktinos Hellas SA | 0.00 | 0 per month | 0.00 | (0.12) | 3.57 | (3.45) | 13.01 | |
| HTO | Hellenic Telecommunications Organization | 0.00 | 0 per month | 0.00 | (0.08) | 2.19 | (2.60) | 6.55 | |
| OLTH | Thessaloniki Port Authority | 0.00 | 0 per month | 1.05 | (0.09) | 1.95 | (1.91) | 6.25 |
Logismos Information Additional Predictive Modules
Most predictive techniques to examine Logismos price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Logismos using various technical indicators. When you analyze Logismos 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 Logismos Information Predictive Indicators
The successful prediction of Logismos Information 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 Logismos Information Systems, 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 Logismos Information based on analysis of Logismos Information hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Logismos Information's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Logismos Information's related companies.
Story Coverage note for Logismos Information
The number of cover stories for Logismos Information depends on current market conditions and Logismos Information's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Logismos Information 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 Logismos Information'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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Logismos Information Short Properties
Logismos Information's future price predictability will typically decrease when Logismos Information's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Logismos Information Systems often depends not only on the future outlook of the potential Logismos Information'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. Logismos Information's indicators that are reflective of the short sentiment are summarized in the table below.
| Shares Float | 2.5 M |
Other Information on Investing in Logismos Stock
Logismos Information financial ratios help investors to determine whether Logismos Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Logismos with respect to the benefits of owning Logismos Information security.