Compared with Fundamental Indicators, Macroaxis technical analysis interface makes it possible for you to check available technical drivers of TOYOBO CO 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 TOYOBO CO which can be compared to its competition. Please validate TOYOBO COMarket Risk Adjusted Performance, Variance as well as the relationship between Variance and Potential Upside to decide if TOYOBO CO is priced fairly providing market reflects its prevalent price of 12.65 per share. Given that TOYOBO CO has Jensen Alpha of 0.0, we advise you double-check TOYOBO CO current market performance to make sure the company can sustain itself next year.
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 TOYOBO CO 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.
TOYOBO CO Trend Analysis
Use this graph to draw trend lines for TOYOBO CO. You can use it to identify possible trend reversals for TOYOBO CO 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 TOYOBO CO price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
TOYOBO CO Best Fit Change Line
The following chart estimates an ordinary least squares regression model for TOYOBO CO applied against its price change over selected period. The best fit line has a slop of 0.005347 which means TOYOBO CO will continue generating value for investors. It has 122 observation points and a regression sum of squares at 1.08, which is the sum of squared deviations for the predicted TOYOBO CO price change compared to its average price change.