Uber Technologies Stock Overlap Studies All Moving Average
| UBER Stock | USD 69.64 0.04 0.06% |
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The output start index for this execution was nineteen with a total number of output elements of fourty-two. The Moving Average is predictive technique used to analyze Uber Technologies price data points by creating a series of averages of different subsets of Uber Technologies entire price series.
Uber Technologies Technical Analysis Modules
Most technical analysis of Uber Technologies help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Uber from various momentum indicators to cycle 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 | ||
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About Uber Technologies Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Uber Technologies. We use our internally-developed statistical techniques to arrive at the intrinsic value of Uber Technologies based on widely used predictive technical indicators. In general, we focus on analyzing Uber Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Uber Technologies's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Uber Technologies's intrinsic value. In addition to deriving basic predictive indicators for Uber Technologies, we also check how macroeconomic factors affect Uber Technologies price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 10.87 | 27.0 | 28.43 | 17.97 | Days Of Inventory On Hand | 24.63 | 12.63 | 14.52 | 13.79 |
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.
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Uber Technologies pair trading
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.Uber Technologies Pair Trading
Uber Technologies Pair Trading Analysis
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.