As of 13 of October Keck Seng secures Risk Adjusted Performance of 0.0019 and Mean Deviation of 0.416. Keck Seng Inv Hong K technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm future prices. Strictly speaking you can use this information to find out if the firm will indeed mirror its model of past prices or the prices will eventually revert. We found nineteen technical drivers for Keck Seng which can be compared to its peers in the industry. Please verify Keck Seng InvStandard Deviation and the relationship between Treynor Ratio and Kurtosis to decide if Keck Seng Inv Hong K is priced some-what accurately providing market reflects its recent price of 0.5845 per share. As Keck Seng Inv is a penny stock we also strongly advise to check its Total Risk Alpha numbers.
The output start index for this execution was one with a total number of output elements of sixty. 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 Keck Seng Inv 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.
Keck Seng Inv Trend Analysis
Use this graph to draw trend lines for Keck Seng Inv Hong K. You can use it to identify possible trend reversals for Keck Seng 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 Keck Seng price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
Keck Seng Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Keck Seng Inv Hong K applied against its price change over selected period. The best fit line has a slop of 0.00048154 which means Keck Seng Inv Hong K will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Keck Seng price change compared to its average price change.