Aurora Technical Analysis
| AURORA Crypto | USD 0.21 0.02 10.53% |
As of the 28th of November, Aurora shows the Downside Deviation of 11.94, risk adjusted performance of 0.1025, and Mean Deviation of 6.55. Aurora technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices.
Aurora Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Aurora, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AuroraAurora |
Aurora technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.
Aurora Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Aurora Trend Analysis
Use this graph to draw trend lines for Aurora. You can use it to identify possible trend reversals for Aurora as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Aurora price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Aurora Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Aurora applied against its price change over selected period. The best fit line has a slop of 0.0009 , which means Aurora will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.03, which is the sum of squared deviations for the predicted Aurora price change compared to its average price change.About Aurora Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Aurora on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Aurora based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on Aurora price pattern first instead of the macroeconomic environment surrounding Aurora. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of Aurora's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to Aurora specific price patterns or momentum indicators.
Aurora November 28, 2024 Technical Indicators
Most technical analysis of Aurora 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 different 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 |
| Risk Adjusted Performance | 0.1025 | |||
| Market Risk Adjusted Performance | 1.04 | |||
| Mean Deviation | 6.55 | |||
| Semi Deviation | 6.03 | |||
| Downside Deviation | 11.94 | |||
| Coefficient Of Variation | 822.58 | |||
| Standard Deviation | 11.82 | |||
| Variance | 139.82 | |||
| Information Ratio | 0.111 | |||
| Jensen Alpha | 1.27 | |||
| Total Risk Alpha | (0.35) | |||
| Sortino Ratio | 0.1098 | |||
| Treynor Ratio | 1.03 | |||
| Maximum Drawdown | 89.42 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 14.29 | |||
| Downside Variance | 142.68 | |||
| Semi Variance | 36.39 | |||
| Expected Short fall | (14.95) | |||
| Skewness | 2.73 | |||
| Kurtosis | 12.99 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Aurora. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.