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DF Tactical 30 ETF

DFTTNYSEARCADonoghue ForlinesEquity

$29.67Today:- (-)

As of Oct 15, 2026 close

Assets (AUM)
$33.64M
Expense ratio
0.70%
Dividend yield
0.14%
Holdings
31
52-week range
$23.44$32.67
Volume (live)
-
Avg. volume (3M)
2.07K

DFTT ETF Historical Prices: DF Tactical 30 ETF

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

DFTT Historical Price Chart: Trends & Patterns

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

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DFTT 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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DFTT 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, 202629.3529.6729.3529.6729.6716.89K
Oct 14, 202629.9829.9829.8329.8329.83439
Oct 13, 202630.3530.3530.3530.3530.35159
Oct 12, 202630.7730.7730.7730.7730.77117
Oct 9, 202631.0131.2031.0131.2031.2013.34K
Oct 8, 202630.9531.0030.8930.9030.905.47K
Oct 7, 202631.3731.4231.3731.4231.42752
Oct 6, 202631.4831.4831.4831.4831.4817
Oct 5, 202631.2831.4431.2831.4431.441.28K
Oct 2, 202631.5231.5231.4531.4531.45360
Oct 1, 202630.9431.3330.9431.3331.33545
Sep 30, 202631.3831.3831.2331.2331.23559
Sep 29, 202631.1831.3131.1431.2931.295.90K
Sep 28, 202630.8531.1830.8531.1831.18460
Sep 25, 202631.3931.3931.3631.3631.36368
Sep 24, 202631.1131.2431.1131.2431.24500
Sep 23, 202631.0431.1231.0031.1231.122.43K
Sep 22, 202631.0131.2030.9831.2031.202.22K
Sep 21, 202631.0731.0731.0731.0731.07104
Sep 18, 202630.0030.2530.0030.2530.25776
Sep 17, 202629.9930.0229.9729.9729.972.58K
Sep 16, 202629.7729.7729.3629.3629.361.96K
Sep 15, 202629.3729.4129.3429.4129.41697
Sep 14, 202629.5529.5529.4429.4429.44613
Sep 11, 202630.1430.1630.1430.1430.14443
Sep 10, 202629.8629.9029.8229.8229.821.23K
Sep 9, 202630.3830.3930.3130.3230.32780
Sep 8, 202630.4430.4430.4430.4430.44210
Sep 4, 202630.0930.1530.0430.1530.15334
Sep 3, 202629.4529.7529.4529.7529.75569
Sep 2, 202629.4029.4429.4029.4429.444.03K
Sep 1, 202629.3729.3729.3729.3729.3713
Aug 31, 202629.7129.8629.6929.8629.868.42K
Aug 28, 202629.8029.8129.8029.8129.81402
Aug 27, 202630.2230.3130.2230.3130.31305
Aug 26, 202629.5729.7729.5729.7129.7112.75K
Aug 25, 202629.6629.6729.5929.6429.645.09K
Aug 24, 202629.4329.4429.4329.4429.44224
Aug 21, 202629.7629.9329.7629.9329.93556
Aug 20, 202629.7329.8129.7329.8129.811.57K
Aug 19, 202630.0130.0129.8929.8929.891.51K
Aug 18, 202630.3830.3830.3830.3830.38113
Aug 17, 202631.4231.4231.3031.3031.30652
Aug 14, 202631.0031.0231.0031.0231.02440
Aug 13, 202631.1731.1731.0531.0531.05513
Aug 12, 202630.9330.9330.9330.9330.93867
Aug 11, 202630.6830.6830.4830.4830.48569
Aug 10, 202630.6430.6430.5530.5530.55397
Aug 7, 202630.6430.6430.2930.5930.592.41K
Aug 6, 202630.3930.3930.3930.3930.39248
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 DF Tactical 30 ETF Historical Prices

What is OHLC data for DFTT?

OHLC stands for Open, High, Low, Close - the four key price points for DFTT 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 DFTT?

The adjusted close price for DFTT 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 DFTT price history go?

DFTT historical price data is available from the ETF's inception on Nov 10, 2025. 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 DFTT data?

DFTT 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 DFTT?

Trading volume for DFTT 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.