Auto Trader (UK) Price Prediction
| AUTO Stock | 830.00 20.80 2.57% |
Oversold Vs Overbought
23
Oversold | Overbought |
Quarterly Earnings Growth 0.221 | EPS Estimate Current Year 27.46 | EPS Estimate Next Year 31.55 | Wall Street Target Price 845.24 | Quarterly Revenue Growth 0.078 |
Using Auto Trader hype-based prediction, you can estimate the value of Auto Trader Group from the perspective of Auto Trader 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 Auto Trader to buy its stock at a price that has no basis in reality. In that case, they are not buying Auto 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.
Auto Trader after-hype prediction price | GBX 808.69 |
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.
Auto |
Auto Trader After-Hype Price Prediction Density Analysis
As far as predicting the price of Auto Trader 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 Auto Trader 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 Auto Trader, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Auto Trader Estimiated After-Hype Price Volatility
In the context of predicting Auto Trader's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Auto Trader's historical news coverage. Auto Trader's after-hype downside and upside margins for the prediction period are 807.36 and 810.02, respectively. We have considered Auto Trader'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
Auto Trader is very steady at this time. Analysis and calculation of next after-hype price of Auto Trader Group is based on 3 months time horizon.
Auto Trader Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Auto Trader is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Auto Trader 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 Auto Trader, 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 |
0.04 | 1.33 | 0.51 | 0.45 | 2 Events / Month | 2 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
830.00 | 808.69 | 0.06 |
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Auto Trader Hype Timeline
Auto Trader Group is presently traded for 830.00on London Exchange of UK. The entity has historical hype elasticity of -0.51, and average elasticity to hype of competition of -0.45. Auto is projected to decline in value after the next headline, with the price expected to drop to 808.69. The average volatility of media hype impact on the company price is about 10.39%. The price decline on the next news is expected to be -0.06%, whereas the daily expected return is presently at -0.04%. The volatility of related hype on Auto Trader is about 11.91%, with the expected price after the next announcement by competition of 829.55. About 69.0% of the company shares are held by institutions such as insurance companies. The company last dividend was issued on the 2nd of January 2025. Assuming the 90 days trading horizon the next projected press release will be in a few days. Check out Auto Trader Basic Forecasting Models to cross-verify your projections.Auto Trader Related Hype Analysis
Having access to credible news sources related to Auto Trader's direct competition is more important than ever and may enhance your ability to predict Auto Trader's future price movements. Getting to know how Auto Trader'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 Auto Trader may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SMSD | Samsung Electronics Co | 7.00 | 1 per month | 0.00 | (0.26) | 2.72 | (3.78) | 10.21 | |
| SMSN | Samsung Electronics Co | (2.00) | 2 per month | 0.00 | (0.28) | 3.19 | (4.02) | 13.39 | |
| HYUD | Hyundai Motor | (0.40) | 2 per month | 0.00 | (0.09) | 4.76 | (3.64) | 12.58 | |
| TYT | Toyota Motor Corp | (37.50) | 3 per month | 2.11 | (0.02) | 3.04 | (3.19) | 12.68 | |
| SBID | State Bank of | (0.80) | 3 per month | 0.00 | (0.13) | 2.14 | (2.41) | 7.40 | |
| 0R15 | SoftBank Group Corp | (56.86) | 3 per month | 0.00 | (0.13) | 5.19 | (6.96) | 15.31 | |
| RIGD | Reliance Industries Ltd | 0.40 | 2 per month | 0.00 | (0.30) | 1.89 | (2.70) | 7.89 | |
| AXB | Axis Bank Ltd | 0.80 | 3 per month | 0.00 | (0.11) | 2.17 | (1.75) | 6.91 |
Auto Trader Additional Predictive Modules
Most predictive techniques to examine Auto price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Auto using various technical indicators. When you analyze Auto 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 Auto Trader Predictive Indicators
The successful prediction of Auto Trader 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 Auto Trader Group, 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 Auto Trader based on analysis of Auto Trader hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Auto Trader's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Auto Trader's related companies.
Story Coverage note for Auto Trader
The number of cover stories for Auto Trader depends on current market conditions and Auto Trader's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Auto Trader 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 Auto Trader's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Auto Trader Short Properties
Auto Trader's future price predictability will typically decrease when Auto Trader's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Auto Trader Group often depends not only on the future outlook of the potential Auto Trader'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. Auto Trader's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 915.3 M | |
| Cash And Short Term Investments | 18.7 M |
Additional Tools for Auto Stock Analysis
When running Auto Trader's price analysis, check to measure Auto Trader'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 Auto Trader is operating at the current time. Most of Auto Trader's value examination focuses on studying past and present price action to predict the probability of Auto Trader's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Auto Trader's price. Additionally, you may evaluate how the addition of Auto Trader to your portfolios can decrease your overall portfolio volatility.