Check Point (Germany) Price Patterns
| CPW Stock | EUR 150.75 0.50 0.33% |
Momentum 41
Sell Extended
Oversold | Overbought |
Using Check Point hype-based prediction, you can estimate the value of Check Point Software from the perspective of Check Point 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 Check Point to buy its stock at a price that has no basis in reality. In that case, they are not buying Check 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.
Check Point after-hype prediction price | EUR 151.24 |
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.
Check |
Check Point After-Hype Price Density Analysis
As far as predicting the price of Check Point 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 Check Point 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 Check Point, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Check Point Estimiated After-Hype Price Volatility
In the context of predicting Check Point's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Check Point's historical news coverage. Check Point's after-hype downside and upside margins for the prediction period are 149.29 and 153.19, respectively. We have considered Check Point'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Check Point is very steady at this time. Analysis and calculation of next after-hype price of Check Point Software is based on 3 months time horizon.
Check Point Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Check Point is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Check Point 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 Check Point, 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 |
0.20 | 1.94 | 0.47 | 0.19 | 6 Events / Month | 1 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
150.75 | 151.24 | 0.33 |
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Check Point Hype Timeline
Check Point Software is currently traded for 150.75on Hamburg Exchange of Germany. The entity has historical hype elasticity of 0.47, and average elasticity to hype of competition of -0.19. Check is anticipated to increase in value after the next headline, with the price projected to jump to 151.24 or above. The average volatility of media hype impact on the company the price is about 82.55%. The price boost on the next news is expected to be 0.33%, whereas the daily expected return is currently at -0.2%. The volatility of related hype on Check Point is about 205.14%, with the expected price after the next announcement by competition of 150.56. The company reported the revenue of 2.56 B. Net Income was 845.7 M with profit before overhead, payroll, taxes, and interest of 0. Assuming the 90 days trading horizon the next anticipated press release will be in about 6 days. Check out Check Point Basic Forecasting Models to cross-verify your projections.Check Point Related Hype Analysis
Having access to credible news sources related to Check Point's direct competition is more important than ever and may enhance your ability to predict Check Point's future price movements. Getting to know how Check Point'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 Check Point may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ABL | Abbott Laboratories | (0.90) | 4 per month | 0.00 | (0.15) | 1.91 | (2.11) | 14.56 | |
| AMD | Advanced Micro Devices | (0.45) | 6 per month | 0.00 | (0.09) | 6.33 | (5.75) | 24.55 | |
| 4I1 | Philip Morris International | (2.50) | 1 per month | 1.16 | 0.17 | 2.89 | (2.55) | 7.67 | |
| AMG | Amgen Inc | (2.80) | 8 per month | 1.41 | 0.13 | 4.09 | (2.96) | 12.15 | |
| HK2C | Hong Kong Exchanges | 0.03 | 6 per month | 0.00 | (0.20) | 1.49 | (1.85) | 5.73 | |
| DP4B | AP Mller | 0.00 | 1 per month | 1.08 | 0.04 | 2.57 | (1.82) | 7.59 | |
| FPMB | FREEPORT MCMORAN | 0.00 | 9 per month | 1.44 | 0.13 | 3.93 | (3.78) | 9.65 |
Check Point Additional Predictive Modules
Most predictive techniques to examine Check price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Check using various technical indicators. When you analyze Check 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 Check Point Predictive Indicators
The successful prediction of Check Point 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 Check Point Software, 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 Check Point based on analysis of Check Point hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Check Point's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Check Point's related companies.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out Check Point Basic Forecasting Models to cross-verify your projections. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.