Franklin International Low Volatility High Dividend Index ETF (LVHI) Stock Price & Analysis

Franklin International Low Volatility High Dividend Index ETF (LVHI) is trading at USD 42.79, down 0.06% today, as of October 23, 2026 at 16:19 UTC (US market open; quotes may be delayed), according to Nexqual market data.

LVHI last closed at USD 42.79; today's session has ranged USD 42.51–42.82 on volume of 779,105 shares. Market capitalization is —, with a 52-week range of USD 35.25–43.35 (BTS). Source: Nexqual, retrieved October 23, 2026 at 16:19 UTC.

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

Key facts (LVHI)

Total return (dividends reinvested) (LVHI)

1Y (from 2025-10-23)5Y (from 2021-10-25)
Total return+26.8%+120.9%
S&P 500 (SPY)+14.7%+77.5%
Per year+26.8%+17.2%
Volatility (annualized)9.5%10.7%
Max drawdown-6.1% (Feb 2026→Mar 2026)-10.8% (May 2022→Oct 2022)

Key Statistics (as of October 23, 2026 at 16:19 UTC)

PriceUSD 42.79
Change▼ 0.06% (down)
Previous CloseUSD 42.79
OpenUSD 42.79
Day RangeUSD 42.51 – 42.82
52-Week RangeUSD 35.25 – 43.35
Volume779,105 shares
Market Cap—
ExchangeBTS

Technical Analysis (LVHI)

Nexqual's technical model rates LVHI "BUY" based on 5 bullish and 1 bearish signals across 128 daily candles, as of October 23, 2026 at 16:19 UTC.

Overall SignalBUY
RSI (14)59.14 (neutral)
vs SMA50Above (USD 42.46)
MACD0.15 (positive)

Peers & Related Stocks

SymbolNamePriceChange
LVHDFranklin U.S. Low Volatility HiUSD 44.66▼ 0.91%
GCOWPacer Global Cash Cows DividendUSD 47.23▼ 0.46%
HDEFXtrackers MSCI EAFE High DivideUSD 34.01▼ 0.41%
IDVOAmplify CWP International EnhanUSD 40.24▼ 0.17%
DIVIFranklin International Core DivUSD 42.08▼ 0.52%

Data source: Nexqual — market data, technical indicators, analyst consensus, earnings, SEC EDGAR filings. Last updated: October 23, 2026 at 16:19 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