XRP Technical Analysis
| XRP Crypto | USD 0.56 0.01 1.82% |
As of the 24th of April, XRP maintains the Mean Deviation of 2.91, downside deviation of 4.74, and Risk Adjusted Performance of 0.038. In relation to fundamental indicators, the technical analysis model lets you check available technical drivers of XRP, as well as the relationship between them. Specifically, you can use this information to find out if the crypto will indeed mirror its model of past data patterns, or the prices will eventually revert. We were able to interpolate data for nineteen technical drivers for XRP, which can be compared to its peers. Please check out XRP treynor ratio, downside variance, kurtosis, as well as the relationship between the value at risk and expected short fall to decide if XRP is priced some-what accurately, providing market reflects its latest price of 0.56 per share.
XRP Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as XRP, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to XRPXRP |
XRP 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.
XRP 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 XRP volatility. High ATR values indicate high volatility, and low values indicate low volatility.
XRP Trend Analysis
Use this graph to draw trend lines for XRP. You can use it to identify possible trend reversals for XRP 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 XRP price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.XRP Best Fit Change Line
The following chart estimates an ordinary least squares regression model for XRP applied against its price change over selected period. The best fit line has a slop of 0.0006 , which means XRP will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.02, which is the sum of squared deviations for the predicted XRP price change compared to its average price change.About XRP 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 XRP 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 XRP based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on XRP price pattern first instead of the macroeconomic environment surrounding XRP. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of XRP'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 XRP specific price patterns or momentum indicators.
XRP April 24, 2024 Technical Indicators
Most technical analysis of XRP 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 XRP from various momentum indicators to cycle indicators. When you analyze XRP 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 | 0.038 | |||
| Market Risk Adjusted Performance | 0.1579 | |||
| Mean Deviation | 2.91 | |||
| Semi Deviation | 3.66 | |||
| Downside Deviation | 4.74 | |||
| Coefficient Of Variation | 2080.67 | |||
| Standard Deviation | 3.97 | |||
| Variance | 15.78 | |||
| Information Ratio | 0.0256 | |||
| Jensen Alpha | 0.084 | |||
| Total Risk Alpha | (0.33) | |||
| Sortino Ratio | 0.0214 | |||
| Treynor Ratio | 0.1479 | |||
| Maximum Drawdown | 24.02 | |||
| Value At Risk | (5.97) | |||
| Potential Upside | 6.0 | |||
| Downside Variance | 22.49 | |||
| Semi Variance | 13.42 | |||
| Expected Short fall | (3.75) | |||
| Skewness | (0.39) | |||
| Kurtosis | 1.63 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in XRP. Also, note that the market value of any cryptocurrency could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.