CBRE Technical Analysis Overview

CBG -- USA Stock  

USD 47.42  0.00  0.00%

CBRE Group 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 entity future prices. In plain English you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for CBRE Group which can be compared to its rivals. Please confirm CBRE Group Value At Risk, Expected Short fall and the relationship between Treynor Ratio and Downside Variance to decide if CBRE Group is priced adequately providing market reflects its regular price of 47.42 per share. Given that CBRE has Jensen Alpha of 0.0, we suggest you validate CBRE Group prevailing market performance to make sure the company can sustain itself in the future.
 Time Horizon     30 Days    Login   to change

CBRE Group Technical Analysis

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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was six with a total number of output elements of eleven. 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 CBRE Group 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.

CBRE Group Trend Analysis

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

CBRE Best Fit Change Line

The following chart estimates an ordinary least squares regression model for CBRE Group applied against its price change over selected period. The best fit line has a slop of 0.00 % . It has 34 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted CBRE price change compared to its average price change.

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CBRE July 18, 2018 Daily Price Condition

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