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First Trust S-Network E-Commerce ETF

ISHPNASDAQFirst TrustEquity

$34.83Today:- (-)1Y −13.94%

As of Oct 26, 2026 close

Assets (AUM)
$5.01M
Expense ratio
0.60%
Dividend yield
1.23%
Holdings
62
52-week range
$32.05$42.05
Volume (live)
-
Avg. volume (3M)
76

ISHP ETF Historical Prices: First Trust S-Network E-Commerce ETF

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

ISHP Historical Price Chart: Trends & Patterns

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

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ISHP 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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ISHP 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, 202634.8334.8334.8334.8334.836
Oct 23, 202635.0635.0635.0635.0635.066
Oct 22, 202635.4635.4635.4635.4635.467
Oct 21, 202635.2735.2735.2735.2735.277
Oct 20, 202635.6135.6135.6135.6135.619
Oct 19, 202635.2835.2835.2835.2835.286
Oct 16, 202635.2235.2235.2235.2235.228
Oct 15, 202635.3435.4635.3435.4635.46121
Oct 14, 202634.4634.4634.4634.4634.469
Oct 13, 202634.7834.7834.7834.7834.7820
Oct 12, 202634.5534.5534.5534.5534.556
Oct 9, 202634.6434.6434.6434.6434.649
Oct 8, 202634.1134.1134.1134.1134.1116
Oct 7, 202633.7133.7133.7133.7133.7114
Oct 6, 202633.7933.7933.7933.7933.7913
Oct 5, 202633.7233.7233.7233.7233.7214
Oct 2, 202633.3533.3533.3533.3533.3518
Oct 1, 202633.3533.3533.3533.3533.3518
Sep 30, 202633.4733.4733.4733.4733.4759
Sep 29, 202633.3433.4833.3433.4833.48291
Sep 28, 202633.5733.5733.5733.5733.5715
Sep 25, 202633.7833.7833.7833.7833.7817
Sep 24, 202633.7433.7433.7433.7433.7459
Sep 23, 202633.9333.9333.9333.9333.8615
Sep 22, 202634.8234.8234.8234.8234.7416
Sep 21, 202634.8034.8034.8034.8034.7255
Sep 18, 202634.3434.3434.3434.3434.2719
Sep 17, 202634.6534.6534.6134.6134.541.41K
Sep 16, 202634.4834.4834.4834.4834.4113
Sep 15, 202634.9734.9734.9734.9734.9022
Sep 14, 202635.3235.3235.3235.3235.2514
Sep 11, 202634.8834.8834.8834.8834.8017
Sep 10, 202634.5234.5234.5234.5234.4514
Sep 9, 202634.6834.6834.6834.6834.6114
Sep 8, 202635.3735.3735.3735.3735.3014
Sep 4, 202636.1536.1536.1536.1536.0815
Sep 3, 202636.2636.2636.2636.2636.1813
Sep 2, 202636.0636.0636.0636.0635.9913
Sep 1, 202635.8235.8235.8235.8235.7513
Aug 31, 202636.4236.4236.4236.4236.3519
Aug 28, 202634.8836.9934.8836.9936.91115
Aug 27, 202636.7836.7836.7836.7836.71114
Aug 26, 202637.0637.0637.0637.0636.9913
Aug 25, 202637.4537.4537.4537.4537.3715
Aug 24, 202637.1137.2037.1137.2037.12266
Aug 21, 202636.9936.9936.9936.9936.9213
Aug 20, 202636.7336.7336.7336.7336.6514
Aug 19, 202637.0437.0437.0437.0436.9714
Aug 18, 202636.3636.3636.3636.3636.28115
Aug 17, 202636.4036.5936.4036.5436.46637
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 S-Network E-Commerce ETF Historical Prices

What is OHLC data for ISHP?

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

The adjusted close price for ISHP 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 ISHP price history go?

ISHP historical price data is available from the ETF's inception on Sep 19, 2016. 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 ISHP data?

ISHP 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 ISHP?

Trading volume for ISHP 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.