Bouygues Sa Stock Price Prediction
| BOUYF Stock | USD 31.00 0.00 0.00% |
Oversold Vs Overbought
44
Oversold | Overbought |
Using Bouygues hype-based prediction, you can estimate the value of Bouygues SA from the perspective of Bouygues 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 Bouygues to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Bouygues 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Bouygues after-hype prediction price | USD 31.0 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Bouygues |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Bouygues' 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.
Bouygues After-Hype Price Prediction Density Analysis
As far as predicting the price of Bouygues 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 Bouygues 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 Pink Sheet prices, such as prices of Bouygues, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bouygues Estimiated After-Hype Price Volatility
In the context of predicting Bouygues' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bouygues' historical news coverage. Bouygues' after-hype downside and upside margins for the prediction period are 28.89 and 33.11, respectively. We have considered Bouygues' 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
Bouygues is very steady at this time. Analysis and calculation of next after-hype price of Bouygues SA is based on 3 months time horizon.
Bouygues Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bouygues is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bouygues 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 Pink Sheet 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 Bouygues, 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 |
0.12 | 2.11 | 0.00 | 0.25 | 0 Events / Month | 6 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
31.00 | 31.00 | 0.00 |
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Bouygues Hype Timeline
Bouygues SA is currently traded for 31.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.25. Bouygues 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 currently at -0.12%. %. The volatility of related hype on Bouygues is about 103.3%, with the expected price after the next announcement by competition of 31.25. About 46.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.91. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bouygues SA has Price/Earnings To Growth (PEG) ratio of 1.53. The entity last dividend was issued on the 3rd of May 2022. The firm had 10:1 split on the 3rd of July 2000. Assuming the 90 days horizon the next anticipated press release will be in 5 to 10 days. Check out Bouygues Basic Forecasting Models to cross-verify your projections.Bouygues Related Hype Analysis
Having access to credible news sources related to Bouygues' direct competition is more important than ever and may enhance your ability to predict Bouygues' future price movements. Getting to know how Bouygues' 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 Bouygues may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NVEE | NV5 Global | 0.44 | 8 per month | 0.00 | (0.14) | 2.56 | (3.64) | 13.29 | |
| MTRX | Matrix Service Co | (0.06) | 9 per month | 1.67 | 0.11 | 4.54 | (2.63) | 19.14 | |
| MYRG | MYR Group | 2.24 | 9 per month | 1.64 | 0.21 | 5.71 | (3.02) | 17.58 | |
| FIX | Comfort Systems USA | (6.87) | 9 per month | 2.94 | 0.17 | 5.28 | (3.47) | 17.05 | |
| EME | EMCOR Group | 16.75 | 9 per month | 1.92 | 0.16 | 3.31 | (2.67) | 10.81 | |
| BLD | Topbuild Corp | (2.95) | 12 per month | 0.00 | (0.06) | 4.30 | (4.45) | 10.81 | |
| APG | Api Group Corp | (0.43) | 11 per month | 1.66 | (0.01) | 3.27 | (3.02) | 7.65 | |
| DY | Dycom Industries | 7.22 | 8 per month | 3.05 | (0.01) | 4.43 | (3.57) | 19.59 |
Bouygues Additional Predictive Modules
Most predictive techniques to examine Bouygues price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bouygues using various technical indicators. When you analyze Bouygues 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 Bouygues Predictive Indicators
The successful prediction of Bouygues 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 Bouygues SA, 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 Bouygues based on analysis of Bouygues hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bouygues's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bouygues's related companies.
Story Coverage note for Bouygues
The number of cover stories for Bouygues depends on current market conditions and Bouygues' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bouygues 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 Bouygues' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Bouygues Short Properties
Bouygues' future price predictability will typically decrease when Bouygues' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bouygues SA often depends not only on the future outlook of the potential Bouygues' 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. Bouygues' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 379.7 M |
Complementary Tools for Bouygues Pink Sheet analysis
When running Bouygues' price analysis, check to measure Bouygues' 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 Bouygues is operating at the current time. Most of Bouygues' value examination focuses on studying past and present price action to predict the probability of Bouygues' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bouygues' price. Additionally, you may evaluate how the addition of Bouygues to your portfolios can decrease your overall portfolio volatility.
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