Uber Technologies Stock Price Prediction
| UBER Stock | USD 64.40 1.34 2.04% |
Oversold Vs Overbought
57
Oversold | Overbought |
Quarterly Earnings Growth 1.269 | EPS Estimate Next Quarter 0.3 | EPS Estimate Current Year 0.88 | EPS Estimate Next Year 2.12 | Wall Street Target Price 86.32 |
Using Uber Technologies hype-based prediction, you can estimate the value of Uber Technologies from the perspective of Uber Technologies response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Uber Technologies using Uber Technologies' stock options and short interest. It helps to benchmark the overall future attitude of investors towards Uber using crowd psychology based on the activity and movement of Uber Technologies' stock price.
Uber Technologies Short Interest
An investor who is long Uber Technologies may also wish to track short interest. As short interest increases, investors should be becoming more worried about Uber Technologies and may potentially protect profits, hedge Uber Technologies with its derivative instruments, or be ready for some potential downside.
200 Day MA 65.428 | Short Percent 0.0245 | Short Ratio 3.66 | Shares Short Prior Month 49.2 M | 50 Day MA 68.4468 |
Uber Technologies Hype to Price Pattern
Investor biases related to Uber Technologies' public news can be used to forecast risks associated with an investment in Uber. The trend in average sentiment can be used to explain how an investor holding Uber can time the market purely based on public headlines and social activities around Uber Technologies. 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 Uber Technologies' market sentiment to its price can help taders to make decisions based on the overall investors consensus about Uber Technologies.
Uber Technologies Implied Volatility | 46.02 |
Uber Technologies' implied volatility exposes the market's sentiment of Uber Technologies stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Uber Technologies' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Uber Technologies stock will not fluctuate a lot when Uber Technologies' options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Uber Technologies to buy its stock at a price that has no basis in reality. In that case, they are not buying Uber 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.
Uber Technologies after-hype prediction price | USD 64.43 |
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.
Prediction based on Rule 16 of the current Uber contract
Based on the Rule 16, the options market is currently suggesting that Uber Technologies will have an average daily up or down price movement of about 2.88% per day over the life of the 2024-08-02 option contract. With Uber Technologies trading at USD 64.4, that is roughly USD 1.85 . If you think that the market is fully incorporating Uber Technologies' daily price movement you should consider acquiring Uber Technologies options at the current volatility level of 46.02%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Uber |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Uber Technologies' 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.
Uber Technologies After-Hype Price Prediction Density Analysis
As far as predicting the price of Uber 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 Uber 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 Uber Technologies, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Uber Technologies Estimiated After-Hype Price Volatility
In the context of predicting Uber Technologies' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Uber Technologies' historical news coverage. Uber Technologies' after-hype downside and upside margins for the prediction period are 62.11 and 66.75, respectively. We have considered Uber 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
Uber Technologies is very steady at this time. Analysis and calculation of next after-hype price of Uber Technologies is based on 3 months time horizon.
Uber Technologies Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Uber Technologies is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Uber 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 Uber 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 | 2.32 | 0.03 | 0.18 | 9 Events / Month | 6 Events / Month | In about 9 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
64.40 | 64.43 | 0.05 |
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Uber Technologies Hype Timeline
Uber Technologies is at this time traded for 64.40. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of -0.18. Uber is forecasted to increase in value after the next headline, with the price projected to jump to 64.43 or above. The average volatility of media hype impact on the company the price is over 100%. The price gain on the next news is projected to be 0.05%, whereas the daily expected return is at this time at -0.05%. The volatility of related hype on Uber Technologies is about 63.43%, with the expected price after the next announcement by competition of 64.22. The company reported the previous year's revenue of 37.28 B. Net Income was 1.89 B with profit before overhead, payroll, taxes, and interest of 9.8 B. Given the investment horizon of 90 days the next forecasted press release will be in about 9 days. Check out Uber Technologies Basic Forecasting Models to cross-verify your projections.Uber Technologies Related Hype Analysis
Having access to credible news sources related to Uber Technologies' direct competition is more important than ever and may enhance your ability to predict Uber Technologies' future price movements. Getting to know how Uber 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 Uber Technologies may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ZM | Zoom Video Communications | (0.81) | 12 per month | 0.00 | (0.07) | 1.98 | (3.04) | 6.39 | |
| SNOW | Snowflake | 1.10 | 9 per month | 0.00 | (0.13) | 3.69 | (3.89) | 10.95 | |
| WDAY | Workday | 3.24 | 12 per month | 0.00 | (0.1) | 2.40 | (2.29) | 17.73 | |
| AI | C3 Ai Inc | (0.49) | 7 per month | 2.39 | 0.09 | 4.53 | (4.76) | 26.21 | |
| SHOP | Shopify | (2.79) | 9 per month | 0.00 | (0.10) | 3.42 | (5.41) | 22.49 | |
| INTU | Intuit Inc | (24.19) | 9 per month | 2.32 | (0.03) | 2.53 | (2.65) | 11.45 | |
| CRM | Salesforce | (4.79) | 8 per month | 0.00 | (0.04) | 3.88 | (2.45) | 23.62 | |
| TTD | Trade Desk | (0.53) | 10 per month | 2.93 | 0.06 | 3.36 | (3.11) | 17.19 |
Uber Technologies Additional Predictive Modules
Most predictive techniques to examine Uber price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Uber using various technical indicators. When you analyze Uber 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 Uber Technologies Predictive Indicators
The successful prediction of Uber 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 Uber Technologies, 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 Uber Technologies based on analysis of Uber Technologies hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Uber Technologies's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Uber Technologies's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 10.87 | 27.0 | 28.43 | 26.99 | Days Of Inventory On Hand | 24.63 | 12.63 | 14.52 | 13.79 |
Story Coverage note for Uber Technologies
The number of cover stories for Uber Technologies depends on current market conditions and Uber Technologies' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Uber 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 Uber 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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Uber Technologies Short Properties
Uber Technologies' future price predictability will typically decrease when Uber Technologies' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Uber Technologies often depends not only on the future outlook of the potential Uber Technologies' 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. Uber Technologies' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.1 B | |
| Cash And Short Term Investments | 6.2 B |
Additional Tools for Uber Stock Analysis
When running Uber Technologies' price analysis, check to measure Uber 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 Uber Technologies is operating at the current time. Most of Uber Technologies' value examination focuses on studying past and present price action to predict the probability of Uber Technologies' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Uber Technologies' price. Additionally, you may evaluate how the addition of Uber Technologies to your portfolios can decrease your overall portfolio volatility.