Gold Road technical analysis makes it possible for you to employ historical prices and volume momentum with intention to determine a pattern that calculates the direction of the corporation future prices. In other words you can use this information to find out if the corporation will indeed mirror its model of historical price patterns or the prices will eventually revert. We found nineteen technical drivers for Gold Road Resources which can be compared to its competitors. Please check out Gold Road ResourcesInformation Ratio as well as the relationship between Value At Risk and Expected Short fall to decide if Gold Road is priced fairly providing market reflects its last-minute price of 0.6303 per share. As Gold Road Resources is a penny stock we also advise to confirm its Total Risk Alpha numbers.
The output start index for this execution was twelve with a total number of output elements of twenty-seven. 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 Gold Road Resources 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.
Gold Road Resources Trend Analysis
Use this graph to draw trend lines for Gold Road Resources Limited. You can use it to identify possible trend reversals for Gold Road 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 Gold Road price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Gold Road Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Gold Road Resources Limited applied against its price change over selected period. The best fit line has a slop of 0.00045456 % which means Gold Road Resources Limited will continue generating value for investors. It has 78 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Gold Road price change compared to its average price change.
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