| MNDAX Fund | | | USD 28.18 -0.16 -0.56% |
The math transform module provides an execution environment for Inverse Tangent Over Price Movement transformation and related indicators on MFS NEW. It emphasizes price transformations that reveal shifts in trend structure while keeping volatility, risk, and performance context in view.
Most technical analysis of MFS NEW 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 MFS from various momentum indicators to cycle indicators. When you analyze MFS 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.
The fund overview for MFS NEW summarizes mandate, holdings profile, and risk characteristics. The fund has exposure to MFS Funds, Large Funds, Small Growth Funds. The current allocation is approximately 96.0% equities and 4.0% cash. It is classified under Small Growth within the MFS family.
Methodology
Unless otherwise specified, data for Mfs New Discovery is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Mfs New Discovery market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Inputs rely on public fund disclosures, holdings reports, and market data feeds and institutional disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Publication cadence can introduce timing differences. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
Mfs New Discovery may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Tracking MFS NEW inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.
Ellen Johnson ยท Member of Macroaxis Editorial Board