Goldman Sachs Technical Analysis

GDEUX -- USA Fund  

USD 13.79  0.13  0.93%

As of 17 of October Goldman Sachs retains Market Risk Adjusted Performance of 0.1494 and Risk Adjusted Performance of (0.001705). Goldman Sachs technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the entity future prices. In other words you can use this information to find out if the entity will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for Goldman Sachs Blue which can be compared to its competitors. Please check out Goldman Sachs Blue Downside Deviation, Treynor Ratio as well as the relationship between Treynor Ratio and Expected Short fall to decide if Goldman Sachs is priced fairly providing market reflects its last-minute price of 13.79 per share.
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Goldman Sachs Blue Technical Analysis

The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Goldman Sachs Blue volatility developed by Welles Wilder. View also all equity analysis or get more info about true range volatility indicators indicator.

Goldman Sachs Blue Trend Analysis

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

Goldman Sachs Best Fit Change Line

The following chart estimates an ordinary least squares regression model for Goldman Sachs Blue Chip Fund C applied against its price change over selected period. The best fit line has a slop of   0.00286  which means Goldman Sachs Blue Chip Fund C will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.31, which is the sum of squared deviations for the predicted Goldman Sachs price change compared to its average price change.

Goldman Sachs October 17, 2019 Technical Indicators

Goldman Sachs October 17, 2019 Daily Price Condition

Please also check Risk vs Return Analysis. Please also try Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.