Uber Technologies Stock Forecast - Simple Exponential Smoothing
| UBER Stock | USD 81.24 0.74 0.90% |
Uber Stock outlook is based on your current time horizon. Although Uber Technologies' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Uber Technologies' systematic risk associated with finding meaningful patterns of Uber Technologies fundamentals over time.
As of today, the value of relative strength index of Uber Technologies' share price is approaching 40. This usually implies that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Uber Technologies, making its price go up or down. Momentum 40
Sell Extended
Oversold | Overbought |
Quarterly Earnings Growth 1.585 | EPS Estimate Next Quarter 0.7774 | EPS Estimate Current Year 5.3854 | EPS Estimate Next Year 3.6028 | Wall Street Target Price 110.4343 |
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 88.8485 | Short Percent 0.0272 | Short Ratio 2.91 | Shares Short Prior Month 56 M | 50 Day MA 85.4084 |
Uber Relative Strength Index
The Simple Exponential Smoothing forecasted value of Uber Technologies on the next trading day is expected to be 81.24 with a mean absolute deviation of 1.27 and the sum of the absolute errors of 77.72.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 | 0.36 |
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 Simple Exponential Smoothing forecasted value of Uber Technologies on the next trading day is expected to be 81.24 with a mean absolute deviation of 1.27 and the sum of the absolute errors of 77.72. Uber Technologies after-hype prediction price | USD 81.21 |
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.
Check out Historical Fundamental Analysis of Uber Technologies to cross-verify your projections. 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 0.0225% per day over the life of the 2026-04-17 option contract. With Uber Technologies trading at USD 81.24, that is roughly USD 0.0183 . 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 0.36%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Uber Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Uber Technologies' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Uber Technologies' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Uber Technologies stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Uber Technologies' open interest, investors have to compare it to Uber Technologies' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Uber Technologies is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Uber. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 |
Uber Technologies Simple Exponential Smoothing Price Forecast For the 29th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Uber Technologies on the next trading day is expected to be 81.24 with a mean absolute deviation of 1.27, mean absolute percentage error of 3.47, and the sum of the absolute errors of 77.72.Please note that although there have been many attempts to predict Uber Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Uber Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Uber Technologies Stock Forecast Pattern
| Backtest Uber Technologies | Uber Technologies Price Prediction | Buy or Sell Advice |
Uber Technologies Forecasted Value
In the context of forecasting Uber Technologies' Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Uber Technologies' downside and upside margins for the forecasting period are 79.12 and 83.36, respectively. We have considered Uber Technologies' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Uber Technologies stock data series using in forecasting. Note that when a statistical model is used to represent Uber Technologies stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 119.3559 |
| Bias | Arithmetic mean of the errors | 0.238 |
| MAD | Mean absolute deviation | 1.2741 |
| MAPE | Mean absolute percentage error | 0.0147 |
| SAE | Sum of the absolute errors | 77.72 |
Predictive Modules for Uber Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Uber Technologies. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 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 79.09 and 83.33, 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 Outlook 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 |
0.26 | 2.12 | 0.03 | 0.13 | 6 Events / Month | 7 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
81.24 | 81.21 | 0.04 |
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Uber Technologies Hype Timeline
Uber Technologies is at this time traded for 81.24. The entity has historical hype elasticity of -0.03, and average elasticity to hype of competition of -0.13. Uber is forecasted to decline in value after the next headline, with the price expected to drop to 81.21. 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 -0.04%, whereas the daily expected return is at this time at -0.26%. The volatility of related hype on Uber Technologies is about 427.42%, with the expected price after the next announcement by competition of 81.11. About 85.0% of the company outstanding shares are owned by institutional investors. The company had not issued any dividends in recent years. Given the investment horizon of 90 days the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of Uber Technologies 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 | |||
| APP | Applovin Corp | (22.45) | 7 per month | 3.72 | (0.02) | 5.14 | (6.46) | 15.84 | |
| INTU | Intuit Inc | 20.85 | 5 per month | 0.00 | (0.19) | 2.38 | (3.37) | 10.42 | |
| NOW | ServiceNow | (0.94) | 19 per month | 0.00 | (0.27) | 2.43 | (3.12) | 14.07 | |
| SHOP | Shopify | (5.58) | 9 per month | 0.00 | (0.1) | 5.06 | (5.93) | 12.99 | |
| QCOM | Qualcomm Incorporated | (0.88) | 6 per month | 0.00 | (0.08) | 3.48 | (3.93) | 15.88 | |
| CRM | Salesforce | (3.47) | 8 per month | 0.00 | (0.11) | 2.94 | (3.10) | 12.37 | |
| LRCX | Lam Research Corp | 4.20 | 8 per month | 2.46 | 0.23 | 6.27 | (4.85) | 12.15 | |
| AMAT | Applied Materials | 2.13 | 9 per month | 2.03 | 0.22 | 5.00 | (3.61) | 10.80 | |
| ANET | Arista Networks | 1.03 | 8 per month | 2.98 | (0.01) | 5.22 | (4.56) | 12.76 | |
| SONY | Sony Group Corp | 0.15 | 10 per month | 0.00 | (0.28) | 2.31 | (2.80) | 7.67 |
Other Forecasting Options for Uber Technologies
For every potential investor in Uber, whether a beginner or expert, Uber Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Uber Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Uber. Basic forecasting techniques help filter out the noise by identifying Uber Technologies' price trends.Uber Technologies Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Uber Technologies stock to make a market-neutral strategy. Peer analysis of Uber Technologies could also be used in its relative valuation, which is a method of valuing Uber Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Uber Technologies Market Strength Events
Market strength indicators help investors to evaluate how Uber Technologies stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Uber Technologies shares will generate the highest return on investment. By undertsting and applying Uber Technologies stock market strength indicators, traders can identify Uber Technologies entry and exit signals to maximize returns.
| Accumulation Distribution | 541041.0 | |||
| Daily Balance Of Power | (0.33) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 80.97 | |||
| Day Typical Price | 81.06 | |||
| Price Action Indicator | (0.11) | |||
| Period Momentum Indicator | (0.74) | |||
| Relative Strength Index | 40.74 |
Uber Technologies Risk Indicators
The analysis of Uber Technologies' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Uber Technologies' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting uber stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.45 | |||
| Standard Deviation | 2.09 | |||
| Variance | 4.35 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
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 | 2.2 B | |
| Cash And Short Term Investments | 7.5 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.