As of 25 of August Salesforce has Coefficient Of Variation of 3250.42, Risk Adjusted Performance of 0.0333 and Semi Deviation of 1.46. Salesforce technical analysis provides you with the way to harness past market data to determine a pattern that measures the direction of the company future prices. In other words you can use this information to find out if the company will indeed mirror its model of past prices and volume data or the prices will eventually revert. We found nineteen technical drivers for Salesforce which can be compared to its competition. Please validate SalesforceDownside Deviation, Jensen Alpha as well as the relationship between Jensen Alpha and Downside Variance to decide if Salesforce is priced more or less accurately providing market reflects its prevalent price of 151.57 per share. Given that Salesforce has Jensen Alpha of 0.0996, we advise you double-check Salesforce current market performance to make sure the company can sustain itself at future point.
The output start index for this execution was fifteen with a total number of output elements of twenty-four. 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 Salesforce 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.
Salesforce Trend Analysis
Use this graph to draw trend lines for Salesforce. You can use it to identify possible trend reversals for Salesforce 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 Salesforce price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Salesforce Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Salesforce applied against its price change over selected period. The best fit line has a slop of 0.41 % which may imply that the returns on investment in Salesforce will continue to fail. It has 78 observation points and a regression sum of squares at 1647.52, which is the sum of squared deviations for the predicted Salesforce price change compared to its average price change.
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