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First Trust Bloomberg Inflation Sensitive Equity ETF

FTIFNYSEARCAFirst TrustEquity

$30.34Today:- (-)1Y +32.78%

As of Oct 26, 2026 close

Assets (AUM)
$5.60M
Expense ratio
0.60%
Dividend yield
1.22%
Holdings
53
52-week range
$21.56$30.00
Volume (live)
-
Avg. volume (3M)
1.72K

FTIF ETF Historical Prices: First Trust Bloomberg Inflation Sensitive Equity ETF

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

FTIF Historical Price Chart: Trends & Patterns

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

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FTIF 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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FTIF 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 26, 202630.2630.3530.2630.3430.342.46K
Oct 23, 202630.0530.1229.9729.9729.975.60K
Oct 22, 202629.6429.6429.6429.6429.6420
Oct 21, 202629.5329.5729.5329.5729.573.20K
Oct 20, 202629.6229.6329.6229.6329.637.18K
Oct 19, 202629.4929.5729.4529.5029.501.84K
Oct 16, 202629.5929.5929.5929.5929.591.11K
Oct 15, 202629.0429.0929.0429.0929.09540
Oct 14, 202629.0129.0128.9629.0129.012.54K
Oct 13, 202629.0929.0929.0929.0929.1053
Oct 12, 202628.8228.8228.8228.8228.8212
Oct 9, 202628.5928.6028.5928.5928.591.51K
Oct 8, 202628.3828.5728.3828.5628.562.29K
Oct 7, 202627.9128.0227.9128.0228.02639
Oct 6, 202628.3128.3128.2328.2728.27890
Oct 5, 202627.9528.2127.9528.1428.141.02K
Oct 2, 202627.9027.9027.9027.9027.9064
Oct 1, 202627.0927.8427.0927.8427.849.91K
Sep 30, 202627.7627.7827.5027.5027.501.72K
Sep 29, 202627.5427.6327.5427.6327.63619
Sep 28, 202627.9227.9627.7727.7727.772.48K
Sep 25, 202628.0228.0228.0228.0228.0120
Sep 24, 202628.1228.1228.1228.1228.1233
Sep 23, 202628.4628.6328.3528.3528.212.53K
Sep 22, 202628.4328.4328.4028.4028.26289
Sep 21, 202628.5928.6628.5128.5128.38807
Sep 18, 202629.0829.0828.9328.9328.791.21K
Sep 17, 202629.2029.2029.2029.2029.0643
Sep 16, 202629.2829.4229.0429.0428.90826
Sep 15, 202629.7529.7529.7529.7529.61137
Sep 14, 202629.6929.6929.2929.2929.15598
Sep 11, 202629.4729.4729.4529.4529.32981
Sep 10, 202629.4129.4129.4129.4129.2716
Sep 9, 202629.5629.5629.5629.5629.4219
Sep 8, 202629.6029.6029.6029.6029.46389
Sep 4, 202629.6229.6229.4429.5429.40665
Sep 3, 202629.8329.8329.8329.8329.6917
Sep 2, 202629.8929.8929.8529.8529.71239
Sep 1, 202629.6329.6329.6329.6329.49197
Aug 31, 202629.5129.5129.5129.5129.3726
Aug 28, 202629.5129.5129.5129.5129.38141
Aug 27, 202629.4129.6629.4129.6229.48318
Aug 26, 202629.5429.6129.5429.5529.41973
Aug 25, 202629.5329.5329.5029.5029.36758
Aug 24, 202629.9529.9529.7229.7729.622.00K
Aug 21, 202629.9630.0029.9529.9529.81559
Aug 20, 202629.8729.8729.8429.8429.70119
Aug 19, 202629.8629.8629.7229.7229.58210
Aug 18, 202629.3729.4129.3729.3929.26279
Aug 17, 202629.2629.3429.2629.3329.19542
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 26, 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 First Trust Bloomberg Inflation Sensitive Equity ETF Historical Prices

What is OHLC data for FTIF?

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

The adjusted close price for FTIF 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 FTIF price history go?

FTIF historical price data is available from the ETF's inception on Mar 12, 2023. 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 FTIF data?

FTIF 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 FTIF?

Trading volume for FTIF 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.