ADT 1961 Technical Analysis

SMGANX -- USA Fund  

USD 7.18  0.18  2.45%

As of the 5th of April ADT 1961 shows Risk Adjusted Performance of (0.64) and Mean Deviation of 3.32. Macroaxis technical analysis interface gives you tools to check helpful technical drivers of ADT 1961 Bahl as well as the relationship between them. Put another way, 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 ADT 1961 Bahl Gaynor Smig Sm, which can be compared to its rivals. Please confirm ADT 1961 Bahl Jensen Alpha, Potential Upside as well as the relationship between Potential Upside and Skewness to decide if ADT 1961 Bahl is priced favorably providing market reflects its regular price of 7.18 per share.
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ADT 1961 Bahl Technical Analysis

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  Portfolio Optimization  Portfolio Optimization  
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ADT 1961 Bahl Trend Analysis

Use this graph to draw trend lines for ADT 1961 Bahl Gaynor Smig Sm. You can use it to identify possible trend reversals for ADT 1961 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 ADT 1961 price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.

ADT 1961 Best Fit Change Line

The following chart estimates an ordinary least squares regression model for ADT 1961 Bahl Gaynor Smig Sm applied against its price change over selected period. The best fit line has a slop of   0.12  which may suggest that ADT 1961 Bahl Gaynor Smig Sm market price will keep on failing further. It has 56 observation points and a regression sum of squares at 48.96, which is the sum of squared deviations for the predicted ADT 1961 price change compared to its average price change.

ADT 1961 April 5, 2020 Technical Indicators

ADT 1961 April 5, 2020 Daily Price Condition

Additionally, take a look at World Market Map. Please also try Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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