As of 25 of June Twitter has Coefficient Of Variation of (933.07) and Risk Adjusted Performance of (0.08). In relation to Fundamental Indicators, Macroaxis technical analysis interface makes it possible for you to check existing technical drivers of Twitter 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 prices and volume data or the prices will eventually revert. We found nineteen technical drivers for Twitter which can be compared to its competition. Please validate TwitterCoefficient Of Variation, Maximum Drawdown as well as the relationship between Maximum Drawdown and Skewness to decide if Twitter is priced more or less accurately providing market reflects its prevalent price of 35.02 per share. Given that Twitter has Jensen Alpha of (0.24), we advise you double-check Twitter current market performance to make sure the company can sustain itself at future point.
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 Twitter 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.
Twitter Trend Analysis
Use this graph to draw trend lines for Twitter. You can use it to identify possible trend reversals for Twitter 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 Twitter price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Twitter Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Twitter applied against its price change over selected period. The best fit line has a slop of 0.1 % which may suggest that Twitter market price will keep on failing further. It has 78 observation points and a regression sum of squares at 97.1, which is the sum of squared deviations for the predicted Twitter price change compared to its average price change.