Aurora Innovation Stock Volatility Indicators Average True Range
| AUR Stock | USD 6.39 0.45 7.58% |
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The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Aurora Innovation volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Aurora Innovation Technical Analysis Modules
Most technical analysis of Aurora Innovation 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 Aurora from various momentum indicators to cycle indicators. When you analyze Aurora 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 Aurora Innovation 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 Aurora Innovation. We use our internally-developed statistical techniques to arrive at the intrinsic value of Aurora Innovation based on widely used predictive technical indicators. In general, we focus on analyzing Aurora Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Aurora Innovation's daily price indicators and compare them against related drivers, such as volatility indicators 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 Aurora Innovation's intrinsic value. In addition to deriving basic predictive indicators for Aurora Innovation, we also check how macroeconomic factors affect Aurora Innovation 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) | Net Debt To EBITDA | 2.04 | 0.18 | 0.51 | 0.48 | Intangibles To Total Assets | 0.47 | 0.31 | 0.28 | 0.21 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Aurora Innovation's 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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Aurora Innovation 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 Aurora Innovation 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 Aurora Innovation will appreciate offsetting losses from the drop in the long position's value.Aurora Innovation Pair Trading
Aurora Innovation Pair Trading Analysis
The ability to find closely correlated positions to Aurora Innovation could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Aurora Innovation 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 Aurora Innovation - 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 Aurora Innovation to buy it.
The correlation of Aurora Innovation 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 Aurora Innovation moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Aurora Innovation 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 Aurora Innovation 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 Aurora Stock Analysis
When running Aurora Innovation's price analysis, check to measure Aurora Innovation's 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 Aurora Innovation is operating at the current time. Most of Aurora Innovation's value examination focuses on studying past and present price action to predict the probability of Aurora Innovation's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Aurora Innovation's price. Additionally, you may evaluate how the addition of Aurora Innovation to your portfolios can decrease your overall portfolio volatility.