Fidelity High Dividend ETF Profile

FCUD ETF  CAD 42.85  0.28  0.66%   
High Dividend Index ETF seeks to replicate, to the extent reasonably possible and before fees and expenses, the performance of the Fidelity Canada U.S. FIDELITY is traded on Toronto Stock Exchange in Canada. With a beta of 0.21, Fidelity High shows lower sensitivity to broader market movements; It falls under the U.S. Dividend & Income Equity category.
Performance
0High
6 · Contained
NAV Risk Level
HighLow
9 · Low
Fidelity High Dividend (FCUD.TO) is currently priced at C$42.85 as of May 12, 2026, representing a 0.66% increase on the day after opening at C$42.57 with an intraday range between C$42.7 and C$42.85. Fidelity High currently exhibits 9% estimated likelihood of significant NAV decline over the forecast period. Over the prior 90 trading days, Fidelity High has produced modest risk-adjusted performance, in line with its contained performance profile. The performance scores window runs from February 11, 2026 to May 12, 2026. Learn more.
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Fidelity High Dividend [FCUD] is traded in Canada. The fund is listed under the U.S. Dividend & Income Equity category and is part of the Fidelity Investments Canada ULC family. Fidelity High Dividend currently has CAD 116.26 million in assets under management (AUM). The total return for the last 3 years is 16.6%. Fidelity High is an operator in the u.s. dividend & income equity segment where revenue is driven by core operating activity and end-market demand. This highlights section surfaces the most decision-relevant indicators surrounding Fidelity High Dividend. The practical value is speed: it gathers the most important context before the position is initiated, resized, or compared with peers.

ETF Notable Updates

Legal NameFidelity U.S. High Dividend ETF
Business ConcentrationU.S. Dividend & Income Equity, Fidelity Investments Canada ULC, (View all Sectors)

Common Risk Profiles

The Capital Asset Pricing Model (CAPM) is the industry-standard tool for estimating the acceptable return on Fidelity High. The model's core insight - that risk and reward are proportional - is communicated through alpha and beta.

Technical Analysis

Transformation
This analysis covers sixty-one data points across the selected time horizon. The Inverse Tangent (Arctangent) transformation applies the arctangent function to Fidelity High Dividend's price series, compressing large price values into a bounded range. This can normalize extreme price movements and reveal underlying directional shifts.

Fidelity High Dividend Against Markets

Predictive Daily Indicators

For intraday traders watching Fidelity High at 358 in volume, these signals separate conviction-driven moves from noise. A consistent pattern across several indicators carries more weight than a single extreme reading.

Forecast Models

Quantitative forecasts for Fidelity High with a 0.67 beta translate historical behavior into probability-weighted return scenarios. For Fidelity High with 116.3 M in assets, financial data rarely stays stable. Forecast models are most informative when re-evaluated regularly.

ETF Overview, Methodology & Data Sources

The ETF overview for Fidelity High focuses on exposure design, holdings transparency, and trading mechanics. The current allocation is approximately 100.0% equities. It is classified under U.S. Dividend & Income Equity within the Fidelity Investments Canada ULC family.

Methodology

Unless otherwise specified, data for Fidelity High Dividend 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 High Dividend market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. Premium/discount dynamics for Fidelity High Dividend can be shaped by underlying holdings liquidity, rebalancing schedules, and market-wide risk appetite. Assumptions: The data underlying this report is sourced from public fund disclosures, holdings reports, and market data feeds, including filings and releases published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Some updates may be delayed based on publication cadence. 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 High Dividend may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

Editorial review and methodology oversight provided by: Raphi Shpitalnik, Junior Member of Macroaxis Editorial Board

Be Your Own Money Manager

Optimization tools reveal whether capital allocated to Fidelity High Dividend is being used efficiently relative to other opportunities in the same equity universe. The practical goal is to remove redundancy, improve diversification, and keep risk aligned with the intended return target.

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Sectors

List of equity sectors categorizing publicly traded companies based on their primary business activities
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More Resources for Fidelity High ETF Analysis

Initial analysis of Fidelity High Dividend centers on its holdings composition and observed return patterns. These values are derived from Fidelity High's published fund data.