Uber Technologies Stock Pattern Recognition Hikkake Pattern
| UBER Stock | USD 71.51 1.87 2.69% |
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Recognition |
The output start index for this execution was five with a total number of output elements of fifty-six. The function generated a total of nine valid pattern recognition events for the selected time horizon. The Hikkake pattern is used for determining Uber Technologies market turning-points and continuations.
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 pattern recognition 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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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.