Microsectors -3x Short Investment Grade Corporate Bond (LQD) ETNs (LQDD) Stock Price & Analysis

Microsectors -3x Short Investment Grade Corporate Bond (LQD) ETNs (LQDD) closed at USD 52.66 on Thursday, October 15, 2026, down 2.40% on the day. The US market is currently closed; this is not a live price.

The prior close was USD 53.96; the Oct 15, 2026 session ranged USD 52.66–52.66 on volume of 126 shares. Market capitalization is —, with a 52-week range of USD 48.81–55.3 (BTS). Source: Nexqual, retrieved October 16, 2026 at 05:11 UTC.

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

Key facts (LQDD)

Total return (dividends reinvested) (LQDD)

1Y (from 2026-08-11)5Y (from 2026-08-10)
Total return+5.4%+5.8%
S&P 500 (SPY)+18.1%+85.1%
Per year——
Volatility (annualized)18.6%17.0%
Max drawdown-4.8% (Sep 2026→Oct 2026)-4.7% (Sep 2026→Oct 2026)

Key Statistics (as of October 16, 2026 at 05:11 UTC)

PriceUSD 52.66
Change▼ 2.40% (down)
Previous CloseUSD 53.96
OpenUSD 52.56
Day RangeUSD 52.66 – 52.66
52-Week RangeUSD 48.81 – 55.3
Volume126 shares
Market Cap—
ExchangeBTS

Technical Analysis (LQDD)

Nexqual's technical model rates LQDD "NEUTRAL" based on 2 bullish and 2 bearish signals across 47 daily candles, as of October 16, 2026 at 05:11 UTC.

Overall SignalNEUTRAL
RSI (14)46.92 (neutral)
MACD0.71 (positive)

Financial Health Score (LQDD)

Nexqual rates Microsectors -3x Short Investment Grade Corporate Bond (LQD) ETNs's overall financial health "Mixed" across five dimensions, as of October 16, 2026 at 05:11 UTC.

GrowthMixed — No data
ProfitabilityMixed — No data
Balance SheetMixed — No data
Cash FlowMixed — No data
EfficiencyMixed — No data

Data source: Nexqual — market data, technical indicators, analyst consensus, earnings, SEC EDGAR filings. Last updated: October 16, 2026 at 05:11 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