VanEck Vectors Africa ETF has Coefficient Of Variation of 704.82 and Risk Adjusted Performance of 0.15. VanEck Vectors technical analysis provides you with the way to harness past market data to determine a pattern that measures the direction of the etf future prices. In other words you can use this information to find out if the etf will indeed mirror its model of past prices and volume data or the prices will eventually revert. We found nineteen technical drivers for VanEck Vectors Africa ETF which can be compared to its competition. Please validate VanEck Vectors AfricaTreynor Ratio, and the relationship between Variance and Potential Upside to decide if VanEck Vectors is priced more or less accurately providing market reflects its prevalent price of 20.62 per share.
The output start index for this execution was twelve with a total number of output elements of five. 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 VanEck Vectors Africa volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.
VanEck Vectors Africa Trend Analysis
Use this graph to draw trend lines for VanEck Vectors Africa ETF. You can use it to identify possible trend reversals for VanEck Vectors 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 VanEck Vectors price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
VanEck Vectors Best Fit Change Line
The following chart estimates an ordinary least squares regression model for VanEck Vectors Africa ETF applied against its price change over selected period. The best fit line has a slop of 0.03 % which may imply that the returns on investment in VanEck Vectors Africa ETF will continue to fail. It has 34 observation points and a regression sum of squares at 0.98, which is the sum of squared deviations for the predicted VanEck Vectors price change compared to its average price change.
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