As of 21 of January IE00BTFRDZ46 owns Standard Deviation of 0.1734. IE00BTFRDZ46 IR technical analysis makes it possible for you to employ past data patterns with intention to determine a pattern that calculates the direction of the entity future prices. Strictly speaking you can use this information to find out if the entity will indeed mirror its model of historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for IE00BTFRDZ46 which can be compared to its peers in the sector. Please check out IE00BTFRDZ46 IR Mean Deviation and the relationship between Semi Deviation and Coefficient Of VariationMean Deviation, Downside Deviation, Standard Deviation, as well as the relationship between Semi Deviation and Coefficient Of Variation to decide if IE00BTFRDZ46 IR is priced more or less accurately providing market reflects its prevailing price of 96.54 per share.
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IE00BTFRDZ46 IR Technical Analysis
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IE00BTFRDZ46 IR Trend AnalysisUse this graph to draw trend lines for IE00BTFRDZ46 IR. You can use it to identify possible trend reversals for IE00BTFRDZ46 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 IE00BTFRDZ46 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
IE00BTFRDZ46 Best Fit Change LineThe following chart estimates an ordinary least squares regression model for IE00BTFRDZ46 IR applied against its price change over selected period. The best fit line has a slop of ? % . It has 0 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted IE00BTFRDZ46 price change compared to its average price change.
Use Bollinger Bands indicator to analyze target price for a given investing horizon
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|Risk Adjusted Performance||(0.43)|
|Coefficient Of Variation||(589.42)|
|Total Risk Alpha||(0.03432)|
|Value At Risk||(0.49)|
Please also check Risk vs Return Analysis. Please also try Price Transformation module to use price transformation models to analyze depth of different equity instruments across global markets.