As of 16 of September Raymond James holds Coefficient Of Variation of 1528.87, Risk Adjusted Performance of 0.0628 and Semi Deviation of 1.82. Compared with Fundamental Indicators, Macroaxis technical analysis interface allows you to check existing technical drivers of Raymond James as well as the relationship between them. In other words you can use this information to find out if the company will indeed mirror its model of past market data or the prices will eventually revert. We found nineteen technical drivers for Raymond James Financial which can be compared to its competitors. Please check Raymond James FinancialJensen Alpha, and the relationship between Coefficient Of Variation and Potential Upside to decide if Raymond James Financial is priced some-what accurately providing market reflects its current price of 87.11 per share. Given that Raymond James has Jensen Alpha of 0.0819, we recommend you check out Raymond James Financial recent market performance to make sure the company can sustain itself at future point.
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Raymond James Financial 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.
Raymond James Financial Trend Analysis
Use this graph to draw trend lines for Raymond James Financial. You can use it to identify possible trend reversals for Raymond James 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 Raymond James price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Raymond James Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Raymond James Financial applied against its price change over selected period. The best fit line has a slop of 0.08 % which may imply that the returns on investment in Raymond James Financial will continue to fail. It has 122 observation points and a regression sum of squares at 228.11, which is the sum of squared deviations for the predicted Raymond James price change compared to its average price change.
Raymond James September 16, 2019 Technical Indicators