Raytheon Technologies (UK) Price Prediction
| 0R2N Stock | 115.89 0.63 0.54% |
Oversold Vs Overbought
39
Oversold | Overbought |
Quarterly Earnings Growth (0.91) | Quarterly Revenue Growth 0.492 |
Using Raytheon Technologies hype-based prediction, you can estimate the value of Raytheon Technologies Corp from the perspective of Raytheon Technologies 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 Raytheon Technologies to buy its stock at a price that has no basis in reality. In that case, they are not buying Raytheon 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.
Raytheon Technologies after-hype prediction price | USD 115.87 |
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.
Raytheon |
Raytheon Technologies After-Hype Price Prediction Density Analysis
As far as predicting the price of Raytheon Technologies 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 Raytheon Technologies 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 Raytheon Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Raytheon Technologies Estimiated After-Hype Price Volatility
In the context of predicting Raytheon Technologies' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Raytheon Technologies' historical news coverage. Raytheon Technologies' after-hype downside and upside margins for the prediction period are 114.70 and 117.04, respectively. We have considered Raytheon Technologies' 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
Raytheon Technologies is very steady at this time. Analysis and calculation of next after-hype price of Raytheon Technologies is based on 3 months time horizon.
Raytheon Technologies Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Raytheon Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Raytheon Technologies 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 Raytheon Technologies, 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 |
0.05 | 1.17 | 0.02 | 2.16 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
115.89 | 115.87 | 0.02 |
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Raytheon Technologies Hype Timeline
Raytheon Technologies is presently traded for 115.89on London Exchange of UK. The entity has historical hype elasticity of -0.02, and average elasticity to hype of competition of 2.16. Raytheon is projected to decline in value after the next headline, with the price expected to drop to 115.87. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -0.02%, whereas the daily expected return is presently at -0.05%. The volatility of related hype on Raytheon Technologies is about 2.71%, with the expected price after the next announcement by competition of 118.05. About 81.0% of the company shares are owned by institutions such as pension funds. The company had not issued any dividends in recent years. Raytheon Technologies had 2:1 split on the 13th of June 2005. Assuming the 90 days trading horizon the next projected press release will be very soon. Check out Raytheon Technologies Basic Forecasting Models to cross-verify your projections.Raytheon Technologies Related Hype Analysis
Having access to credible news sources related to Raytheon Technologies' direct competition is more important than ever and may enhance your ability to predict Raytheon Technologies' future price movements. Getting to know how Raytheon Technologies' 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 Raytheon Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 0R9C | Cellnex Telecom SA | (0.58) | 1 per month | 0.00 | (0.18) | 2.09 | (2.97) | 6.20 | |
| 0MJT | Atresmedia | 0.01 | 1 per month | 0.00 | (0.08) | 1.41 | (2.23) | 8.11 | |
| 0JUJ | Liberty Media Corp | 2.48 | 4 per month | 0.85 | 0.15 | 3.56 | (1.93) | 6.63 | |
| BOWL | Hollywood Bowl Group | (0.50) | 3 per month | 0.00 | (0.04) | 2.37 | (1.68) | 15.06 | |
| 0RHN | AcadeMedia AB | 1.50 | 2 per month | 1.38 | (0.02) | 2.81 | (2.19) | 7.85 | |
| FLTR | Flutter Entertainment PLC | 300.00 | 4 per month | 1.62 | 0.13 | 4.54 | (1.98) | 12.92 | |
| ZIN | Zinc Media Group | (1.00) | 3 per month | 0.00 | (0.16) | 3.00 | (4.85) | 15.56 |
Raytheon Technologies Additional Predictive Modules
Most predictive techniques to examine Raytheon price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Raytheon using various technical indicators. When you analyze Raytheon 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 Raytheon Technologies Predictive Indicators
The successful prediction of Raytheon Technologies 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 Raytheon Technologies Corp, 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 Raytheon Technologies based on analysis of Raytheon Technologies hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Raytheon Technologies's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Raytheon Technologies's related companies.
Story Coverage note for Raytheon Technologies
The number of cover stories for Raytheon Technologies depends on current market conditions and Raytheon Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Raytheon Technologies 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 Raytheon Technologies' 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 Raytheon Stock Analysis
When running Raytheon Technologies' price analysis, check to measure Raytheon Technologies' 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 Raytheon Technologies is operating at the current time. Most of Raytheon Technologies' value examination focuses on studying past and present price action to predict the probability of Raytheon Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Raytheon Technologies' price. Additionally, you may evaluate how the addition of Raytheon Technologies to your portfolios can decrease your overall portfolio volatility.