Uber Technologies Stock Forecast - Naive Prediction
| UBER Stock | USD 87.59 1.40 1.62% |
The Naive Prediction forecasted value of Uber Technologies on the next trading day is expected to be 90.68 with a mean absolute deviation of 1.89 and the sum of the absolute errors of 117.08. Uber Stock Forecast 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 at 52. This usually implies that the stock is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Uber Technologies, making its price go up or down. Momentum 52
Impartial
Oversold | Overbought |
Quarterly Earnings Growth 1.585 | EPS Estimate Next Quarter 0.7774 | EPS Estimate Current Year 5.3903 | EPS Estimate Next Year 3.6108 | Wall Street Target Price 110.723 |
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 88.1194 | Short Percent 0.0265 | Short Ratio 2.43 | Shares Short Prior Month 51.1 M | 50 Day MA 87.8882 |
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 | 0.45 |
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 Naive Prediction forecasted value of Uber Technologies on the next trading day is expected to be 90.68 with a mean absolute deviation of 1.89 and the sum of the absolute errors of 117.08. Uber Technologies after-hype prediction price | USD 87.59 |
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. Open Interest Against 2026-03-20 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 Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Uber Technologies' financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2017-12-31 | Previous Quarter 7.6 B | Current Value 8.9 B | Quarterly Volatility 2.1 B |
Uber Technologies Naive Prediction Price Forecast For the 10th of January
Given 90 days horizon, the Naive Prediction forecasted value of Uber Technologies on the next trading day is expected to be 90.68 with a mean absolute deviation of 1.89, mean absolute percentage error of 6.50, and the sum of the absolute errors of 117.08.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 88.54 and 92.83, 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 Naive Prediction 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 | 121.8207 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.8884 |
| MAPE | Mean absolute percentage error | 0.0213 |
| SAE | Sum of the absolute errors | 117.0825 |
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.
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 Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Uber Technologies' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Uber Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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.
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 | 1.53 | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.63 |
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.
Pair Trading with Uber Technologies
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Uber Technologies position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Uber Technologies will appreciate offsetting losses from the drop in the long position's value.Moving together with Uber Stock
| 0.9 | GRAB | Grab Holdings Potential Growth | PairCorr |
Moving against Uber Stock
| 0.73 | VWAGY | Volkswagen AG 110 | PairCorr |
| 0.72 | WMT | Walmart Common Stock | PairCorr |
| 0.72 | VLKAF | Volkswagen AG | PairCorr |
| 0.68 | VLKPF | Volkswagen AG VZO | PairCorr |
| 0.67 | SAR | Saratoga Investment Corp | PairCorr |
The ability to find closely correlated positions to Uber Technologies could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Uber Technologies when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Uber Technologies - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Uber Technologies to buy it.
The correlation of Uber Technologies is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Uber Technologies moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Uber Technologies moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Uber Technologies can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.