Pfg Janus Henderson Fund Statistic Functions Beta
| PFJHX Fund | USD 10.36 0.02 0.19% |
| 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 Pfg Janus Henderson correlated with the market. If Beta is less than 0 Pfg Janus generally moves in the opposite direction as compared to the market. If Pfg Janus Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Pfg Janus Henderson is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Pfg Janus is generally in the same direction as the market. If Beta > 1 Pfg Janus moves generally in the same direction as, but more than the movement of the benchmark.
Pfg Janus Technical Analysis Modules
Most technical analysis of Pfg Janus 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 Pfg from various momentum indicators to cycle indicators. When you analyze Pfg 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 Pfg Janus 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 Pfg Janus Henderson. We use our internally-developed statistical techniques to arrive at the intrinsic value of Pfg Janus Henderson based on widely used predictive technical indicators. In general, we focus on analyzing Pfg Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Pfg Janus'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 Pfg Janus's intrinsic value. In addition to deriving basic predictive indicators for Pfg Janus, we also check how macroeconomic factors affect Pfg Janus price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Other Information on Investing in Pfg Mutual Fund
Pfg Janus financial ratios help investors to determine whether Pfg 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 Pfg with respect to the benefits of owning Pfg Janus security.
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
| Volatility Analysis Get historical volatility and risk analysis based on latest market data | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |