Hcm Dynamic Income Fund Statistic Functions Beta
| HCMUX Fund | 10.52 -0.17 -1.59% |
| Symbol |
This analysis covers twenty-five data points across the selected time horizon. The Beta measures systematic risk based on how returns on Hcm Dynamic Income correlated with the market. If Beta is less than 0 HCM Dynamic generally moves in the opposite direction as compared to the market. If HCM Dynamic Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Hcm Dynamic Income is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of HCM Dynamic is generally in the same direction as the market. If Beta > 1 HCM Dynamic moves generally in the same direction as, but more than the movement of the benchmark.
HCM Dynamic Technical Analysis Modules
Technical analysis of HCM Dynamic uses historical price and volume data to identify patterns that may signal where the HCM trend is heading. Confirming signals across multiple timeframes reduces the likelihood of acting on noise rather than genuine trend shifts.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Methodology, Assumptions & Data Sources
HCM Dynamic's Statistic Functions is plotted below across several periods. Some metrics drift back toward their average over time.
Data shown for Hcm Dynamic Income is aggregated from fund disclosures and market reference feeds and normalized across reporting formats. Source publication cadence can introduce delays.