Alger Spectra Fund Statistic Functions Beta
| ASPYX Fund | USD 32.21 0.35 1.07% |
| Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Alger Spectra correlated with the market. If Beta is less than 0 Alger Spectra generally moves in the opposite direction as compared to the market. If Alger Spectra Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Alger Spectra is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Alger Spectra is generally in the same direction as the market. If Beta > 1 Alger Spectra moves generally in the same direction as, but more than the movement of the benchmark.
Alger Spectra Technical Analysis Modules
Most technical analysis of Alger Spectra 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 Alger from various momentum indicators to cycle indicators. When you analyze Alger 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 Alger Spectra 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 Alger Spectra. We use our internally-developed statistical techniques to arrive at the intrinsic value of Alger Spectra based on widely used predictive technical indicators. In general, we focus on analyzing Alger Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Alger Spectra'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 Alger Spectra's intrinsic value. In addition to deriving basic predictive indicators for Alger Spectra, we also check how macroeconomic factors affect Alger Spectra 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 Alger Spectra'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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Other Information on Investing in Alger Mutual Fund
Alger Spectra financial ratios help investors to determine whether Alger 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 Alger with respect to the benefits of owning Alger Spectra security.
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