Beta ETF (Poland) Technical Analysis
| ETFBCASH | 134.80 0.04 0.03% |
Beta ETF Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Beta, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BetaBeta |
Beta ETF technical etf 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, etf market cycles, or different charting patterns.
Beta ETF Obligacji Technical Analysis
The output start index for this execution was three with a total number of output elements of fifty-eight. 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 Beta ETF Obligacji volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Beta ETF Obligacji Trend Analysis
Use this graph to draw trend lines for Beta ETF Obligacji. You can use it to identify possible trend reversals for Beta ETF 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 Beta ETF price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Beta ETF Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Beta ETF Obligacji applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Beta ETF Obligacji will continue generating value for investors. It has 122 observation points and a regression sum of squares at 11.94, which is the sum of squared deviations for the predicted Beta ETF price change compared to its average price change.Beta ETF November 23, 2024 Technical Indicators
Most technical analysis of Beta 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 Beta from various momentum indicators to cycle indicators. When you analyze Beta 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 | 0.047 | |||
| Market Risk Adjusted Performance | 0.1508 | |||
| Mean Deviation | 0.0581 | |||
| Downside Deviation | 0.0709 | |||
| Coefficient Of Variation | 546.24 | |||
| Standard Deviation | 0.0742 | |||
| Variance | 0.0055 | |||
| Information Ratio | (1.58) | |||
| Jensen Alpha | 5.0E-4 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.65) | |||
| Treynor Ratio | 0.1408 | |||
| Maximum Drawdown | 0.3139 | |||
| Value At Risk | (0.10) | |||
| Potential Upside | 0.1491 | |||
| Downside Variance | 0.005 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.08) | |||
| Skewness | 0.2827 | |||
| Kurtosis | (0.11) |