Polar Capital Emerging Fund Statistic Functions Pearson Correlation Coefficient
| POLCX Fund | 11.47 0.10 0.88% |
| Symbol |
The output start index for this execution was eleven with a total number of output elements of fifty. The Pearsons Correlation Coefficient is one of the most common measures of correlation in financial statistics. It shows the linear relationship between price series of Polar Capital Emerging and its benchmark or peer.
Polar Capital Technical Analysis Modules
Most technical analysis of Polar Capital 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 Polar from various momentum indicators to cycle indicators. When you analyze Polar 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 Polar Capital 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 Polar Capital Emerging. We use our internally-developed statistical techniques to arrive at the intrinsic value of Polar Capital Emerging based on widely used predictive technical indicators. In general, we focus on analyzing Polar Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Polar Capital'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 Polar Capital's intrinsic value. In addition to deriving basic predictive indicators for Polar Capital, we also check how macroeconomic factors affect Polar Capital 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 Polar Capital'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Polar Capital in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Polar Capital's short interest history, or implied volatility extrapolated from Polar Capital options trading.
Trending Themes
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Other Information on Investing in Polar Mutual Fund
Polar Capital financial ratios help investors to determine whether Polar Mutual Fund 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 Polar with respect to the benefits of owning Polar Capital security.
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