House Of (Greece) Price Prediction
| SPIR Stock | EUR 0.15 0.01 7.14% |
Oversold Vs Overbought
47
Oversold | Overbought |
Using House Of hype-based prediction, you can estimate the value of The House of from the perspective of House Of 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 House Of to buy its stock at a price that has no basis in reality. In that case, they are not buying House 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.
House Of after-hype prediction price | EUR 0.15 |
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.
House |
House Of After-Hype Price Prediction Density Analysis
As far as predicting the price of House Of 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 House Of 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 House Of, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
House Of Estimiated After-Hype Price Volatility
In the context of predicting House Of's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on House Of's historical news coverage. House Of's after-hype downside and upside margins for the prediction period are 0.01 and 4.98, respectively. We have considered House Of'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
House Of is out of control at this time. Analysis and calculation of next after-hype price of The House is based on 3 months time horizon.
House Of Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as House Of is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading House Of 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 House Of, 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 |
0.35 | 4.83 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.15 | 0.15 | 0.00 |
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House Of Hype Timeline
The House is at this time traded for 0.15on Athens Exchange of Greece. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. House 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 at this time at 0.35%. %. The volatility of related hype on House Of is about 0.0%, with the expected price after the next announcement by competition of 0.15. About 66.0% of the company outstanding shares are owned by corporate insiders. The company recorded a loss per share of 0.08. The House last dividend was issued on the 21st of August 2006. The entity had 1633:1216 split on the 24th of November 1999. Assuming the 90 days trading horizon the next anticipated press release will be within a week. Check out House Of Basic Forecasting Models to cross-verify your projections.House Of Related Hype Analysis
Having access to credible news sources related to House Of's direct competition is more important than ever and may enhance your ability to predict House Of's future price movements. Getting to know how House Of'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 House Of may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FOODL | Foodlink AE | 0.00 | 0 per month | 1.59 | 0.23 | 3.03 | (2.38) | 11.46 | |
| LOGISMOS | Logismos Information Systems | 0.00 | 0 per month | 0.63 | 0.19 | 3.25 | (1.57) | 14.83 | |
| LAMPS | Lampsa Hellenic Hotels | 0.00 | 0 per month | 0.00 | (0.11) | 0.54 | (0.53) | 5.84 | |
| DAIOS | Daios Plastics SA | 0.00 | 0 per month | 2.23 | 0.01 | 7.02 | (6.52) | 19.13 | |
| HTO | Hellenic Telecommunications Organization | 0.00 | 0 per month | 0.00 | (0.16) | 2.18 | (1.88) | 5.20 | |
| ETE | National Bank of | 0.00 | 0 per month | 1.24 | 0.10 | 3.75 | (2.58) | 7.24 | |
| KARE | Karelia Tobacco | 0.00 | 0 per month | 0.00 | (0.09) | 2.38 | (2.30) | 7.05 | |
| CPI | CPI Computer Peripherals | 0.00 | 0 per month | 2.42 | 0.01 | 4.92 | (3.85) | 19.05 |
House Of Additional Predictive Modules
Most predictive techniques to examine House price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for House using various technical indicators. When you analyze House 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About House Of Predictive Indicators
The successful prediction of House Of 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 The House of, 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 House Of based on analysis of House Of hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to House Of's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to House Of's related companies.
Story Coverage note for House Of
The number of cover stories for House Of depends on current market conditions and House Of's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that House Of 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 House Of'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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Additional Tools for House Stock Analysis
When running House Of's price analysis, check to measure House Of'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 House Of is operating at the current time. Most of House Of's value examination focuses on studying past and present price action to predict the probability of House Of's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move House Of's price. Additionally, you may evaluate how the addition of House Of to your portfolios can decrease your overall portfolio volatility.