Commercial Bancshares Inc technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates 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 Commercial Bancshares Inc which can be compared to its rivals. Please confirm Commercial Bancshares Inc Information Ratio as well as the relationship between Value At Risk and Expected Short fall to decide if Commercial Bancshares Inc is priced correctly providing market reflects its regular price of 54.0 per share. Given that Commercial Bancshares has Jensen Alpha of 0.0, we suggest you validate Commercial Bancshares Inc prevailing market performance to make sure the company can sustain itself at future point.
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Commercial Bancshares Inc Trend AnalysisUse this graph to draw trend lines for Commercial Bancshares Inc. You can use it to identify possible trend reversals for Commercial Bancshares 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 Commercial Bancshares price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Commercial Bancshares Best Fit Change LineThe following chart estimates an ordinary least squares regression model for Commercial Bancshares Inc applied against its price change over selected period. The best fit line has a slop of 1.06 % which may suggest that Commercial Bancshares Inc market price will keep on failing further. It has 34 observation points and a regression sum of squares at 914.82, which is the sum of squared deviations for the predicted Commercial Bancshares price change compared to its average price change.
Commercial Bancshares Inc is rated below average in mean deviation category among related companies. It is currently under evaluation in standard deviation category among related companies .