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Fidelity Disruptors ETF

FDIFNASDAQFidelityEquity

$41.27Today:- (-)1Y +16.86%

As of Oct 15, 2026 close

Assets (AUM)
$109.64M
Expense ratio
0.50%
Dividend yield
0.25%
Holdings
10
52-week range
$31.31$42.84
Volume (live)
-
Avg. volume (3M)
3.94K

FDIF ETF Historical Prices: Fidelity Disruptors ETF

Complete OHLC price data, adjusted close prices, and daily trading volume for this Equity ETF. Analyze trends with customizable time periods and intervals.

FDIF Historical Price Chart: Trends & Patterns

Visualize price movements and trading patterns with adjustable time periods and data intervals.

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FDIF Historical Price Data Table

Complete historical stock price data with OHLC prices, adjusted close, and daily trading volume. Filter by time interval and date range for detailed price history analysis.

Filter Historical Data

Active filters: 6 Months · Daily127 records
Showing 1-50 of 127
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FDIF historical price data table with daily, weekly, monthly, quarterly, and yearly trading intervals. Track Open, High, Low, Close, Adjusted Close prices, and trading volume to analyze price trends, technical patterns, and market activity for comprehensive price history analysis.
DateOpenHighLowCloseAdj CloseVolume
Oct 15, 202640.4441.2740.4441.2741.277.18K
Oct 14, 202641.4041.4040.9740.9740.962.45K
Oct 13, 202641.9041.9841.7841.8441.8411.43K
Oct 12, 202642.3542.4141.9242.0242.015.24K
Oct 9, 202641.9942.3841.9942.3742.371.95K
Oct 8, 202641.8841.8841.4541.6841.684.10K
Oct 7, 202641.9842.1341.9842.1342.132.90K
Oct 6, 202642.7842.8042.4742.4742.475.27K
Oct 5, 202642.2642.8442.2642.7442.745.80K
Oct 2, 202642.1042.1541.9042.0442.043.90K
Oct 1, 202641.7541.8341.6541.7141.712.36K
Sep 30, 202641.9041.9041.7141.7141.71914
Sep 29, 202641.6341.7341.4841.7341.731.25K
Sep 28, 202641.5941.7641.5641.6641.662.78K
Sep 25, 202642.0142.0541.7741.9441.945.23K
Sep 24, 202641.8441.9941.8441.9441.942.59K
Sep 23, 202642.0542.1041.7041.7041.702.65K
Sep 22, 202642.1842.2742.1042.2442.241.59K
Sep 21, 202641.4742.0241.4541.9641.965.24K
Sep 18, 202641.1341.1340.7741.0241.026.66K
Sep 17, 202641.0741.1341.0741.1241.10750
Sep 16, 202640.8040.8540.2240.5340.512.54K
Sep 15, 202640.7240.7240.4740.5740.552.33K
Sep 14, 202640.5940.9940.5340.8540.836.05K
Sep 11, 202641.0541.0540.9240.9240.913.06K
Sep 10, 202640.7340.7640.5740.5740.551.76K
Sep 9, 202641.0441.1041.0441.0441.023.18K
Sep 8, 202641.5741.5741.3141.3141.297.80K
Sep 4, 202641.5841.6141.5141.6141.593.72K
Sep 3, 202641.4141.6241.4141.6041.585.47K
Sep 2, 202640.9341.0240.8941.0241.00992
Sep 1, 202641.0841.0840.6940.8240.805.13K
Aug 31, 202641.4141.5641.3941.5541.539.26K
Aug 28, 202642.0642.0641.6641.6841.662.16K
Aug 27, 202642.0742.2742.0642.1742.151.96K
Aug 26, 202641.6941.8041.6941.7441.721.97K
Aug 25, 202641.6341.8241.6341.7941.772.08K
Aug 24, 202641.3641.4441.1941.3741.358.13K
Aug 21, 202641.5341.7741.4941.7641.743.56K
Aug 20, 202641.5041.5041.3341.3641.343.77K
Aug 19, 202641.6741.6841.6541.6841.661.56K
Aug 18, 202641.4341.4341.1741.1741.153.39K
Aug 17, 202642.0042.0341.8541.8641.844.34K
Aug 14, 202642.0042.0041.7541.8241.809.73K
Aug 13, 202641.8641.9641.8041.8841.861.12K
Aug 12, 202641.5941.5941.4841.5141.497.58K
Aug 11, 202641.4541.4541.2941.2941.271.19K
Aug 10, 202641.1141.3041.1141.2141.198.15K
Aug 7, 202641.0441.1040.9941.0541.033.77K
Aug 6, 202640.6440.6440.3440.3640.342.40K
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 15, 2026. Data sources and methodology

Understanding Historical ETF Price Data & OHLC Metrics

Open Price
The price at which the ETF opened for trading at the start of the trading session.
High Price
The highest price at which the ETF traded during the trading session.
Low Price
The lowest price at which the ETF traded during the trading session.
Close Price
The final price when trading closed for the session.
Adjusted Close Price
The closing price adjusted for corporate actions such as dividends, stock splits, and rights offerings. Used for accurate long-term historical price analysis and return calculations.
Volume
The total number of shares traded during the session, indicating trading activity and liquidity.

Using Historical Prices for Technical Analysis

Traders and investors use historical price data to identify patterns, support and resistance levels, and price trends. By analyzing OHLC values across different intervals, you can spot key market signals.

Trading Ranges
High and Low prices reveal daily and weekly volatility patterns, helping identify potential breakout or consolidation zones.
Price Momentum
Close price changes across intervals indicate bullish or bearish activity and overall trend direction.
Volume Confirmation
Trading volume validates price movements and trend strength. High volume typically confirms significant price changes.
Long-term Trends
Monthly and yearly intervals reveal major price patterns and cycles, useful for position trading and portfolio analysis.

Frequently Asked Questions About Fidelity Disruptors ETF Historical Prices

What is OHLC data for FDIF?

OHLC stands for Open, High, Low, Close - the four key price points for FDIF during each trading period. Open is the first trade price, High is the maximum price reached, Low is the minimum price, and Close is the final trade price for the period.

What is adjusted close price for FDIF?

The adjusted close price for FDIF is the closing price modified to account for corporate actions like stock splits and dividend distributions. This provides accurate historical price comparison for long-term analysis.

How far back does FDIF price history go?

FDIF historical price data is available from the ETF's inception on Apr 15, 2020. Use the "Max" time period option to view all available historical data, or select specific periods like 1 year, 5 years, or 10 years.

What time intervals are available for FDIF data?

FDIF historical data is available in multiple intervals: daily (individual trading days), weekly (week-ending prices), monthly (month-end prices), quarterly (quarter-end prices), and yearly (year-end prices).

Why is trading volume important for FDIF?

Trading volume for FDIF indicates market activity and liquidity. High volume often confirms price trends, while low volume may suggest weak price movements. Volume analysis helps validate technical patterns and identify potential reversals.