BlackLine Technical Analysis

BL -- USA Stock  

Quarterly Earning Report: November 6, 2019  

As of 14 of October BlackLine shows Risk Adjusted Performance of 0.017 and Mean Deviation of 2.22. BlackLine technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm future prices. In plain English you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for BlackLine which can be compared to its rivals. Please confirm BlackLine Jensen Alpha, Semi Variance and the relationship between Standard Deviation and Value At Risk to decide if BlackLine is priced correctly providing market reflects its regular price of 47.83 per share. Given that BlackLine has Jensen Alpha of 0.0461, we suggest you validate BlackLine prevailing market performance to make sure the company can sustain itself at future point.
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BlackLine current and past analyst recommendations published by number of research institutions as well as average analyst consensus
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BlackLine Technical Analysis

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Execute Indicator
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for BlackLine across different markets. View also all equity analysis or get more info about normalized average true range volatility indicators indicator.

BlackLine Trend Analysis

Use this graph to draw trend lines for BlackLine. You can use it to identify possible trend reversals for BlackLine 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 BlackLine price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

BlackLine Best Fit Change Line

The following chart estimates an ordinary least squares regression model for BlackLine applied against its price change over selected period. The best fit line has a slop of   0.03  which may indicate that the price for BlackLine will continue to decline. It has 122 observation points and a regression sum of squares at 35.21, which is the sum of squared deviations for the predicted BlackLine price change compared to its average price change.

BlackLine October 14, 2019 Technical Indicators

BlackLine October 14, 2019 Daily Price Condition

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