Hashflow USD (Spain) Technical Analysis
| 0P00000XGU | 14.47 0.00 0.00% |
Hashflow USD Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hashflow, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HashflowHashflow |
Hashflow USD technical fund 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, fund market cycles, or different charting patterns.
Hashflow USD Technical Analysis
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Hashflow USD Trend Analysis
Use this graph to draw trend lines for Hashflow USD. You can use it to identify possible trend reversals for Hashflow USD 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 Hashflow USD price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Hashflow USD Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Hashflow USD applied against its price change over selected period. The best fit line has a slop of 0.03 , which means Hashflow USD will continue generating value for investors. It has 122 observation points and a regression sum of squares at 36.76, which is the sum of squared deviations for the predicted Hashflow USD price change compared to its average price change.Hashflow USD January 10, 2025 Technical Indicators
Most technical analysis of Hashflow 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 Hashflow from various momentum indicators to cycle indicators. When you analyze Hashflow 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 | 0.1762 | |||
| Market Risk Adjusted Performance | 3.7 | |||
| Mean Deviation | 0.6934 | |||
| Semi Deviation | 0.669 | |||
| Downside Deviation | 0.9863 | |||
| Coefficient Of Variation | 456.47 | |||
| Standard Deviation | 0.9509 | |||
| Variance | 0.9042 | |||
| Information Ratio | 0.1901 | |||
| Jensen Alpha | 0.1974 | |||
| Total Risk Alpha | 0.1774 | |||
| Sortino Ratio | 0.1833 | |||
| Treynor Ratio | 3.69 | |||
| Maximum Drawdown | 6.37 | |||
| Value At Risk | (1.16) | |||
| Potential Upside | 1.54 | |||
| Downside Variance | 0.9727 | |||
| Semi Variance | 0.4476 | |||
| Expected Short fall | (0.74) | |||
| Skewness | 0.3341 | |||
| Kurtosis | 2.81 |
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| Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. |