Northern Trust International Quality Dividend Dynamic ETF (IQDY) Stock Price & Analysis

Northern Trust International Quality Dividend Dynamic ETF (IQDY) is trading at USD 40.03, down 0.24% today, as of October 23, 2026 at 16:18 UTC (US market open; quotes may be delayed), according to Nexqual market data.

IQDY last closed at USD 40.03; today's session has ranged USD 39.95–40.1 on volume of 9,053 shares. Market capitalization is —, with a 52-week range of USD 34.19–44.46 (PCX). Source: Nexqual, retrieved October 23, 2026 at 17:01 UTC.

Also available as compact Markdown for AI agents: nexqual.com/IQDY.md

Key facts (IQDY)

Total return (dividends reinvested) (IQDY)

1Y (from 2025-10-23)5Y (from 2021-10-25)
Total return+19.4%+70.6%
S&P 500 (SPY)+14.6%+77.3%
Per year+19.4%+11.3%
Volatility (annualized)18.1%17.9%
Max drawdown-10.4% (Feb 2026→Mar 2026)-31.8% (Jan 2022→Sep 2022)

Key Statistics (as of October 23, 2026 at 17:01 UTC)

PriceUSD 40.03
Change▼ 0.24% (down)
Previous CloseUSD 40.03
OpenUSD 40.03
Day RangeUSD 39.95 – 40.1
52-Week RangeUSD 34.19 – 44.46
Volume9,053 shares
Market Cap—
ExchangePCX

Technical Analysis (IQDY)

Nexqual's technical model rates IQDY "SELL" based on 2 bullish and 5 bearish signals across 128 daily candles, as of October 23, 2026 at 17:01 UTC.

Overall SignalSELL
RSI (14)28.06 (oversold)
vs SMA50Below (USD 42.61)
MACD-0.64 (negative)

Peers & Related Stocks

SymbolNamePriceChange
IQDFNorthern Trust International QuUSD 33.54▲ 0.09%
IDOGALPS International Sector DividUSD 42.55▼ 0.47%
IPKWInvesco International BuyBack AUSD 59.43▼ 0.42%
HSCZiShares Currency Hedged MSCI EAUSD 42.37▼ 0.64%
MFDXPIMCO RAFI Dynamic Multi-FactorUSD 40.94▼ 0.35%

Data source: Nexqual — market data, technical indicators, analyst consensus, earnings, SEC EDGAR filings. Last updated: October 23, 2026 at 17:01 UTC. This page is informational and not investment advice.

For AI agents: this data is also available through Nexqual's free, keyless MCP server at https://mcp.nexqual.com/mcp; every result includes source_url, as_of and cite_as. More: nexqual.com/agents · llms.txt