As of 21 of October Fuel Tech shows Coefficient Of Variation of (1,511) and Mean Deviation of 3.03. Fuel Tech technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm future prices. In plain English you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum or the prices will eventually revert. We found nineteen technical drivers for Fuel Tech which can be compared to its rivals. Please confirm Fuel TechStandard Deviation and the relationship between Treynor Ratio and Kurtosis to decide if Fuel Tech is priced favorably providing market reflects its regular price of 0.9681 per share. Given that Fuel Tech is a hitting penny stock territory we advise to closely look at its Total Risk Alpha.
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Fuel Tech across different markets. View also all equity analysis or get more info about normalized average true range volatility indicators indicator.
Fuel Tech Trend Analysis
Use this graph to draw trend lines for Fuel Tech. You can use it to identify possible trend reversals for Fuel Tech 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 Fuel Tech price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Fuel Tech Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Fuel Tech applied against its price change over selected period. The best fit line has a slop of 0.0009 which may suggest that Fuel Tech market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.03, which is the sum of squared deviations for the predicted Fuel Tech price change compared to its average price change.