Check Point Software Stock Price Prediction
| CHKP Stock | USD 181.55 0.04 0.02% |
Oversold Vs Overbought
36
Oversold | Overbought |
Quarterly Earnings Growth 0.046 | EPS Estimate Next Quarter 2.65 | EPS Estimate Current Year 9.0963 | EPS Estimate Next Year 9.947 | Wall Street Target Price 192.7207 |
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.
Check Point Software Hype to Price Pattern
Investor biases related to Check Point's public news can be used to forecast risks associated with an investment in Check. The trend in average sentiment can be used to explain how an investor holding Check can time the market purely based on public headlines and social activities around Check Point Software. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Check Point's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Check Point.
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 | USD 181.51 |
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.
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Check Point After-Hype Price Prediction 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 179.33 and 183.69, 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 outperform 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 Prediction 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 |
0.07 | 2.20 | 0.04 | 0.01 | 11 Events / Month | 9 Events / Month | In about 11 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
181.55 | 181.51 | 0.02 |
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Check Point Hype Timeline
Check Point Software is currently traded for 181.55. The entity has historical hype elasticity of -0.04, and average elasticity to hype of competition of -0.01. Check is forecasted to decline in value after the next headline, with the price expected to drop to 181.51. The average volatility of media hype impact on the company price is over 100%. The price decrease on the next news is expected to be -0.02%, whereas the daily expected return is currently at -0.07%. The volatility of related hype on Check Point is about 1483.15%, with the expected price after the next announcement by competition of 181.54. About 23.0% of the company shares are held by company insiders. The company has Price/Earnings To Growth (PEG) ratio of 1.82. Check Point Software recorded earning per share (EPS) of 7.31. The entity had not issued any dividends in recent years. The firm had 3:2 split on the 13th of February 2001. Given the investment horizon of 90 days the next forecasted press release will be in about 11 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 | |||
| RPD | Rapid7 Inc | 0.33 | 9 per month | 1.66 | 0.04 | 4.23 | (2.74) | 10.83 | |
| TENB | Tenable Holdings | (0.95) | 8 per month | 1.49 | (0.03) | 2.52 | (2.39) | 9.94 | |
| OKTA | Okta Inc | 0.36 | 11 per month | 0.00 | (0.17) | 2.39 | (3.42) | 17.64 | |
| WIX | WixCom | (3.95) | 9 per month | 1.74 | 0.13 | 3.67 | (2.88) | 15.22 | |
| FLT | Fleetcor Technologies | 3.42 | 7 per month | 0.00 | (0.11) | 1.95 | (1.95) | 9.73 | |
| AKAM | Akamai Technologies | (0.39) | 9 per month | 0.00 | (0.10) | 2.05 | (2.16) | 18.11 | |
| VRSN | VeriSign | (0.62) | 6 per month | 0.94 | (0.08) | 1.92 | (1.89) | 6.38 | |
| QLYS | Qualys Inc | (1.10) | 9 per month | 1.39 | 0.07 | 3.17 | (2.59) | 26.78 | |
| SPSC | SPS Commerce | 1.63 | 8 per month | 0.00 | (0.07) | 2.68 | (2.74) | 13.74 | |
| FFIV | F5 Networks | (4.99) | 11 per month | 0.78 | 0.15 | 1.83 | (1.77) | 12.18 | |
| GDDY | Godaddy | 2.12 | 9 per month | 1.37 | 0.11 | 3.13 | (2.10) | 6.71 | |
| CSGS | CSG Systems International | 2.36 | 9 per month | 0.88 | 0.06 | 2.65 | (1.69) | 10.94 |
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. | 2023 | 2024 (projected) | Dividend Yield | 4.16E-4 | 3.7E-4 | Price To Sales Ratio | 7.4 | 7.03 |
Story Coverage note for Check Point
The number of cover stories for Check Point depends on current market conditions and Check Point's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Check Point 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 Check Point'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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Check Point Short Properties
Check Point's future price predictability will typically decrease when Check Point's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Check Point Software often depends not only on the future outlook of the potential Check Point'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. Check Point's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 118.3 M | |
| Cash And Short Term Investments | 1.5 B |
Additional Tools for Check Stock Analysis
When running Check Point's price analysis, check to measure Check Point'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 Check Point is operating at the current time. Most of Check Point's value examination focuses on studying past and present price action to predict the probability of Check Point's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Check Point's price. Additionally, you may evaluate how the addition of Check Point to your portfolios can decrease your overall portfolio volatility.