Fidelity Disruptive Finance ETF Profile

FDFF ETF

33.70 -0.07 -0.21%

FDFF is an ETF driven by holdings mix. One-year performance is -2.7%, a positive recent showing. Moved down 0.21% in today's trading; It is managed by Fidelity in the Strategy and Theme category.

Performance

0100

1 · Soft

NAV Risk Level

HighLow

9 · Low

Fidelity Disruptive Finance currently trades at $33.70, posting a 0.21% decrease in today's market action with an intraday range between $33.66 and $33.86. Fidelity Disruptive carries a 9% probability of significant NAV decline over the medium term. Over the last 90 trading days, it has produced modest risk-adjusted performance. The performance scores are calculated from February 5, 2026 through May 6, 2026. Learn more.

Moving together with Fidelity ETF

0.91	XLF	Financial Select Sector	Pair Corr
0.92	VFH	Vanguard Financials Index	Pair Corr
0.8	KRE	SPDR SAMPP Regional	Pair Corr
0.8	KBE	SPDR SAMPP Bank	Pair Corr
0.91	IYF	iShares Financials ETF	Pair Corr
0.92	FNCL	Fidelity MSCI Financials	Pair Corr

Follow Daily Balance Of Power

Fidelity Disruptive Finance [FDFF] is traded in USA. The fund is listed under the Financial category. The entity is thematically classified as Strategy ETFs. Fidelity Disruptive currently. The total return for the last 3 years is 11.6%. Fidelity Disruptive is an operator in the financial segment where revenue is driven by core operating activity and end-market demand.

Fidelity Disruptive financial stability analysis

Geographic Allocation (%)

ETF Notable Updates

Legal Name	Fidelity Disruptive Finance ETF
Thematic Ideas	Strategy ETFs Build Portfolio Theme ETFs Build Portfolio (View all Themes)
Business Concentration	Strategy ETFs, Theme ETFs, Financial, (View all Sectors)

Additional ETF Information

Issuer	Fidelity
Inception Date	2023-06-12
Entity Type	Regulated Investment Company
Asset Under Management	42 million
Asset Type	Equity
Category	Strategy
Focus	Theme
Market Concentration	Blended Development
Region	Global
Administrator	Fidelity Management & Research Company, LLC
Advisor	Fidelity Management & Research Company, LLC
Custodian	State Street Bank and Trust Company
Distributor	Fidelity Distributors Company LLC
Portfolio Manager	Niamh Brodie-Machura, Camille Carlstrom, Tim Codrington,Charlie Hebard,Michael Kim, Christopher Lee,William Shanley
Transfer Agent	State Street Bank and Trust Company
Fiscal Year End	31-May
Exchange	NASDAQ
Number of Constituents	50
Market Maker	Jane Street
Total Expense	0.51
Management Fee	0.5
Country Name	USA
Returns Y T D	-4.69
Name	Fidelity Disruptive Finance ETF
Currency Code	USD
Open Figi	BBG01GXLXZ42
In Threey Volatility	19.65
1y Volatility	15.11
200 Day M A	35.1197
50 Day M A	32.4096
Code	FDFF
Updated At	5th of May 2026
Currency Name	US Dollar
In Threey Sharp Ratio	0.40
Type	ETF

Currency Exposure

Currency allocation matters for Fidelity Disruptive Finance because foreign-exchange moves can either support or offset gains produced by the underlying holdings. When interpreted alongside performance data, currency exposure reveals whether portfolio risk is coming from holdings selection, foreign-exchange translation, or a combination of both.

Common Risk Profiles

CAPM provides the framework most analysts use to determine a fair expected return for investing in Fidelity Disruptive. Alpha and beta are the primary CAPM risk-return descriptors that analysts use to evaluate ETF performance.

	Mean Deviation	1.09
	Semi Deviation	1.45
	Standard Deviation	1.43
	Variance	2.05

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 Disruptive's price series, compressing large price values into a bounded range. This can normalize extreme price movements and reveal underlying directional shifts.

Fidelity Disruptive Finance Against Markets

FDFF

0.21

Competition

Compare Correlations

Thematic Classifications

Thematic peer comparison is more actionable when combined with cost, liquidity, and tracking error analysis. A thematic view can turn a single-fund idea into a structured portfolio-building process with clearer risk boundaries. In Global, investors with concentrated thematic exposure should monitor whether the theme is broadening or narrowing.

	Strategy ETFs USA ETFs from Strategy classification
	Theme ETFs USA ETFs from Theme classification

All Ideas Create Thematic Portfolio

Predictive Daily Indicators

Monitoring Fidelity Disruptive's daily indicators at a 1.21 beta informs entry and exit timing with greater precision. For Financial funds like Fidelity Disruptive, these indicators aid timing but merit evaluation against broader trends. Intraday signals are inherently noisier than weekly or monthly indicators. Confirmation across multiple metrics reduces false signals.

	Accumulation Distribution	0.0059
	Daily Balance Of Power	-0.35
	Rate Of Daily Change	1.0
	Day Median Price	33.76
	Day Typical Price	33.74
	Market Facilitation Index	0.2
	Price Action Indicator	-0.1
	Period Momentum Indicator	-0.07
	Relative Strength Index	52.94

Forecast Models

Forecasting applied to Fidelity Disruptive Finance in the Financial space draws on price structure and volatility patterns. data rarely stays stable for long. Forecast models are most informative when re-evaluated regularly against actual outcomes. Within Financial, ensemble approaches for Fidelity Disruptive that average multiple models often outperform any single method.

ETF Overview, Methodology & Data Sources

Creation and redemption activity helps align market price with reported NAV over time.

Methodology

Unless otherwise specified, data for Fidelity Disruptive Finance 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 Disruptive Finance 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. NAV-based valuation for Fidelity Disruptive Finance is typically interpreted alongside premium/discount metrics and tracking difference relative to the stated benchmark. Assumptions: Information for Fidelity Disruptive Finance is compiled from public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Reporting latency may occur in some cases. 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 Disruptive Finance 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: Rifka Kats, Member of Macroaxis Editorial Board

More Resources for Fidelity ETF Analysis

Fidelity Disruptive's trading price can diverge from NAV, the per-share value of the fund's underlying assets. ETF valuation considers factors like expense ratio, tracking accuracy, and the composition of underlying holdings.

Price and NAV for Fidelity Disruptive are related but not identical, and they can diverge during volatile periods. These factors add context beyond price levels visible on exchanges.

	Naive Prediction
	Simple Exponential Smoothing
	Double Exponential Smoothing
	Triple Exponential Smoothing
	Simple Regression
	Polynomial Regression
	Simple Moving Average
	4 Period Moving Average
	8 Period Moving Average
	20 Period Moving Average