Fidelity Contrafund Fund Math Transform Inverse Tangent Over Price Movement

FCNTX Fund  USD 23.75  0.30  1.28%   
This math transform tool runs Inverse Tangent Over Price Movement transformation and companion studies for Fidelity Contrafund. It emphasizes price transformations that reveal shifts in trend structure while keeping volatility, risk, and performance context in view.

Transformation
This analysis covers sixty-one data points across the selected time horizon. Fidelity Contrafund Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Fidelity Contrafund price patterns.

Fidelity Contrafund Technical Analysis Modules

Most technical analysis of Fidelity Contrafund 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 Fidelity from various momentum indicators to cycle indicators. When you analyze Fidelity 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.

Mutual Fund Overview, Methodology & Data Sources

Expense ratio and turnover can affect long-run net returns and tracking against objectives. The current allocation is approximately 97.0% equities and 1.0% cash. It is classified under Large Growth within the Fidelity Investments family.

Methodology

Unless otherwise specified, data for Fidelity Contrafund 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. Fidelity Contrafund market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: This report is built using public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Normalization for analytical consistency may introduce small timing offsets. 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

Fidelity Contrafund may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on February 27th, 2026

Be your own money manager

Performance tracking around Fidelity Contrafund should go beyond the latest gain or loss and focus on how the position changes overall portfolio efficiency over time. The stronger process keeps portfolio transparency high without forcing constant manual review of every holding.

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Align your risk and return expectations

Risk tolerance and time horizon inputs allow Macroaxis optimization to estimate acceptable risk levels. The output provides a structured risk context for return targets.