Vunani (South Africa) Technical Analysis
VUN Stock | 185.00 15.00 7.50% |
Vunani Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Vunani, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VunaniVunani |
Vunani technical stock 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, stock market cycles, or different charting patterns.
Vunani 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 Vunani volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Vunani Trend Analysis
Use this graph to draw trend lines for Vunani. You can use it to identify possible trend reversals for Vunani 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 Vunani price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Vunani Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Vunani applied against its price change over selected period. The best fit line has a slop of 0.14 , which may suggest that Vunani market price will keep on failing further. It has 122 observation points and a regression sum of squares at 785.94, which is the sum of squared deviations for the predicted Vunani price change compared to its average price change.Vunani November 24, 2024 Technical Indicators
Most technical analysis of Vunani 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 Vunani from various momentum indicators to cycle indicators. When you analyze Vunani 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 | 0.0132 | |||
Market Risk Adjusted Performance | (0.01) | |||
Mean Deviation | 2.58 | |||
Semi Deviation | 4.62 | |||
Downside Deviation | 9.52 | |||
Coefficient Of Variation | 17472.8 | |||
Standard Deviation | 6.32 | |||
Variance | 39.92 | |||
Information Ratio | (0.01) | |||
Jensen Alpha | 0.1657 | |||
Total Risk Alpha | (0.97) | |||
Sortino Ratio | (0.01) | |||
Treynor Ratio | (0.02) | |||
Maximum Drawdown | 60.93 | |||
Value At Risk | (5.00) | |||
Potential Upside | 5.76 | |||
Downside Variance | 90.72 | |||
Semi Variance | 21.31 | |||
Expected Short fall | (6.12) | |||
Skewness | 1.45 | |||
Kurtosis | 18.14 |
Complementary Tools for Vunani Stock analysis
When running Vunani's price analysis, check to measure Vunani'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 Vunani is operating at the current time. Most of Vunani's value examination focuses on studying past and present price action to predict the probability of Vunani's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Vunani's price. Additionally, you may evaluate how the addition of Vunani to your portfolios can decrease your overall portfolio volatility.
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