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JPMorgan Fundamental Data Science Small Core ETF

SCDSNASDAQJPMorgan ChaseEquity

$71.15Today:- (-)1Y +21.64%

As of Oct 16, 2026 close

Assets (AUM)
$9.47M
Expense ratio
0.40%
Dividend yield
1.13%
Holdings
280
52-week range
$56.10$78.04
Volume (live)
-
Avg. volume (3M)
1.00K

SCDS ETF Historical Prices: JPMorgan Fundamental Data Science Small Core ETF

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

SCDS Historical Price Chart: Trends & Patterns

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

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SCDS 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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SCDS 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 16, 202671.1571.1571.1571.1571.15660
Oct 15, 202671.1371.1371.1371.1371.1371
Oct 14, 202670.4370.4370.4370.4370.4373
Oct 13, 202671.3471.7371.3471.7371.73565
Oct 12, 202671.8671.8671.8671.8671.8612
Oct 9, 202671.9172.1271.9172.1272.121.75K
Oct 8, 202671.3871.6971.3871.6971.681.66K
Oct 7, 202671.8171.8171.7571.7671.762.72K
Oct 6, 202672.6572.6572.6572.6572.6562
Oct 5, 202673.2473.2473.0673.0673.06587
Oct 2, 202672.9572.9572.8272.8272.826.07K
Oct 1, 202671.5271.9171.5271.9171.911.02K
Sep 30, 202671.5371.7371.4471.4471.441.08K
Sep 29, 202671.4271.6471.4271.6471.64483
Sep 28, 202671.5771.8271.5771.8271.82218
Sep 25, 202672.4872.4872.4872.4872.4835
Sep 24, 202671.5372.2071.5372.2072.20533
Sep 23, 202672.0372.0372.0372.0372.03102
Sep 22, 202672.8772.8772.8772.8772.8741
Sep 21, 202673.0373.1072.9972.9972.682.49K
Sep 18, 202672.6172.6172.6172.6172.3132
Sep 17, 202673.3473.3673.1173.1172.80308
Sep 16, 202672.4872.7272.4872.6972.399.55K
Sep 15, 202672.8372.8372.8372.8372.5323
Sep 14, 202673.4973.4973.4973.4973.1924
Sep 11, 202673.9973.9973.8773.8773.56266
Sep 10, 202673.3973.3973.3973.3973.0814
Sep 9, 202674.1174.1174.1174.1173.81114
Sep 8, 202674.8374.8374.8374.8374.5214
Sep 4, 202675.0975.3075.0975.3074.99192
Sep 3, 202675.0575.0575.0575.0574.7418
Sep 2, 202674.5774.5874.5774.5874.27295
Sep 1, 202674.4574.4573.9773.9773.66939
Aug 31, 202674.6574.8174.6174.8174.501.02K
Aug 28, 202675.9075.9075.2675.2674.951.17K
Aug 27, 202676.2176.2176.2176.2175.89117
Aug 26, 202675.9976.0575.9376.0175.701.56K
Aug 25, 202675.9075.9075.7675.8975.57704
Aug 24, 202675.9375.9375.7875.7975.472.49K
Aug 21, 202675.9876.3075.9376.2475.922.87K
Aug 20, 202676.2276.4175.8375.8375.524.67K
Aug 19, 202677.0577.0576.7876.7876.46647
Aug 18, 202676.8476.8476.8476.8476.52189
Aug 17, 202677.9377.9477.8777.9477.62430
Aug 14, 202677.8178.0477.7378.0277.703.32K
Aug 13, 202677.9877.9877.7077.7077.372.19K
Aug 12, 202677.4277.6277.4177.4877.16786
Aug 11, 202677.2377.2376.8776.8776.55304
Aug 10, 202677.0177.0176.6976.7276.40881
Aug 7, 202677.4577.4577.4577.4577.12126
Show:
of 127

Source: Daily exchange trading data. Data as of Oct 16, 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 JPMorgan Fundamental Data Science Small Core ETF Historical Prices

What is OHLC data for SCDS?

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

The adjusted close price for SCDS 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 SCDS price history go?

SCDS historical price data is available from the ETF's inception on Aug 6, 2024. 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 SCDS data?

SCDS 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 SCDS?

Trading volume for SCDS 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.