Blue Coast (India) Statistic Functions Beta
| BLUECOAST | 9.98 0.00 0.00% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Blue Coast Hotels correlated with the market. If Beta is less than 0 Blue Coast generally moves in the opposite direction as compared to the market. If Blue Coast Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Blue Coast Hotels is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Blue Coast is generally in the same direction as the market. If Beta > 1 Blue Coast moves generally in the same direction as, but more than the movement of the benchmark.
Blue Coast Technical Analysis Modules
Most technical analysis of Blue Coast help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Blue from various momentum indicators to cycle indicators. When you analyze Blue charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Blue Coast Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Blue Coast Hotels. We use our internally-developed statistical techniques to arrive at the intrinsic value of Blue Coast Hotels based on widely used predictive technical indicators. In general, we focus on analyzing Blue Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Blue Coast's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Blue Coast's intrinsic value. In addition to deriving basic predictive indicators for Blue Coast, we also check how macroeconomic factors affect Blue Coast price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Blue Coast's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Aroon OscillatorAnalyze current equity momentum using Aroon Oscillator and other momentum ratios |
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Other Information on Investing in Blue Stock
Blue Coast financial ratios help investors to determine whether Blue Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Blue with respect to the benefits of owning Blue Coast security.