As of 18 of February LT ST owns Standard Deviation of 0.4403, Mean Deviation of 0.1795 and Market Risk Adjusted Performance of 1.08. LT ST Opp Qtr Div technical analysis lets you operate past data patterns with an objective to determine a pattern that forecasts the direction of the organization future prices. Strictly speaking you can use this information to find out if the organization will indeed mirror its model of historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for LT ST which can be compared to its peers in the sector. Please verify LT ST Opp Mean Deviation and the relationship between Semi Deviation and Coefficient Of VariationMean Deviation, Downside Deviation, Standard Deviation, as well as the relationship between Semi Deviation and Coefficient Of Variation to decide if LT ST Opp Qtr Div is priced some-what accurately providing market reflects its prevailing price of 10.69 per share.
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LT ST Opp Technical Analysis
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LT ST Opp Trend AnalysisUse this graph to draw trend lines for LT ST Opp Qtr Div. You can use it to identify possible trend reversals for LT ST 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 LT ST price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
LT ST Best Fit Change LineThe following chart estimates an ordinary least squares regression model for LT ST Opp Qtr Div applied against its price change over selected period. The best fit line has a slop of ? % . It has 0 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted LT ST price change compared to its average price change.
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|All Next||Launch Focused Opportunities|
|Risk Adjusted Performance||(0.19)|
|Market Risk Adjusted Performance||1.08|
|Coefficient Of Variation||(1,139)|
|Total Risk Alpha||(0.07)|
|Value At Risk||(1.35)|
Please also check Risk vs Return Analysis. Please also try Coins and Tokens Correlation module to utilize digital token correlation table to build portfolio of cryptocurrencies across multiple exchanges.