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MicroSectors FANG & Innovation 3x Leveraged ETN logo

NYSE · BULZ

MicroSectors FANG & Innovation 3x Leveraged ETN

Financial Services · Asset Management - Leveraged

$36.15

Down-$0.46 (-1.26%)

Updated Oct 21, 2026, 12:21 PM

SID Score

5.1/10

Composite research score

Smart Money

—

Institutional and insider signal

Market cap
1.77B
P/E ratio
—
Dividend yield
—
52-week range
$14.96 – $56.09
Volume
275.37K
Avg. volume
248.95K

Price performance · BULZ

BULZ price history

1M range · 21 trading sessions · Daily adjusted prices

Prices through Oct 20, 2026

BULZ closed at $36.15 after 21 trading sessions, down 23.59% for the selected period.

Last close
$36.15
Period change
-23.59%
Period low
$34.62
Period high
$47.31
Daily close
View OHLC price history
BULZ OHLC price history, latest 40 sessions
DateOpenHighLowCloseVolume
Oct 20, 2026$35.75$37.60$35.0041$36.15275.37K
Oct 19, 2026$36.44$37.80$36.12$36.61396.94K
Oct 16, 2026$38.05$38.21$34.03$34.621.02M
Oct 15, 2026$36.46$39.20$35.77$38.98590.18K
Oct 14, 2026$41.73$41.96$38.5257$38.97431.78K
Oct 13, 2026$41.04$43.19$41.00$43.10244.69K
Oct 12, 2026$43.50$43.60$42.20$42.55242.73K
Oct 9, 2026$44.25$44.66$43.70$43.93617.95K
Oct 8, 2026$45.38$45.80$42.43$43.24412.79K
Oct 7, 2026$44.45$46.19$44.2322$46.10231.05K
Oct 6, 2026$45.93$46.34$45.38$45.50216.5K
Oct 5, 2026$44.14$45.34$44.07$44.91213.32K
Oct 2, 2026$45.35$46.1444$44.18$44.33571.65K
Oct 1, 2026$43.76$44.10$42.10$43.38448.22K
Sep 30, 2026$42.86$44.14$42.86$43.20372.06K
Sep 29, 2026$43.28$43.93$42.1899$42.78418.81K
Sep 28, 2026$44.24$44.37$41.55$42.24412.58K
Sep 25, 2026$46.34$46.53$44.93$45.48650.71K
Sep 24, 2026$43.715$46.14$43.62$45.94384.91K
Sep 23, 2026$47.36$47.497$45.20$45.60378.07K
Sep 22, 2026$45.95$47.5373$45.95$47.31347.9K

Latest BULZ news

The latest Smart Investors Daily articles mentioning BULZ.

BULZ research

Overview

Company profile and research snapshot.

Company profile

BULZ provides daily 3x exposure to an index of FANG and technology companies that meet certain requirements. The fund will consistently comprise eight core components (Alphabet, Amazon, Apple, Facebook, Microsoft, Netflix, NVIDIA, and Tesla) and include seven companies determined through a selection methodology. Eligible securities must be listed on a US exchange, classified in the technology sector, and have a market cap of at least 10 billion USD. Selection will begin with ranking the securities by market cap and selecting the 30 largest companies which will then be sorted by 12-month average daily value traded. The top seven stocks will complete the index along with the eight core components and are then equally weighted. The index is rebalanced monthly and reconstituted quarterly. As a leveraged product with 3x factor that resets daily, BULZ is not a buy-and-hold investment and should not be expected to provide index leverage return greater than a one day period.

Analyst outlook

Consensus and target data currently published for this company.

Consensus
—
Average target
—
Implied upside
—
Analysts
—
Open full forecast

News briefing

Generated Oct 21, 2026, 11:05 AM

Why Is BULZ Down Today?

The MicroSectors FANG & Innovation 3x Leveraged ETN (BULZ) declined 1.26% today, reflecting broader weakness in the technology and innovation sectors it tracks. Mixed signals from key holdings like Palantir and Intel suggest investors are reassessing valuations in the high-growth tech space, weighing on this leveraged instrument.

    Bottom line: BULZ's 1.26% decline reflects moderate weakness in technology stocks, amplified by its 3x leverage structure. While today's mixed signals in names like Palantir and Intel suggest caution, investors should remember this instrument is designed for tactical positioning rather than core holdings, and daily volatility will remain high as macro conditions and sector sentiment evolve.

    etftrends.com · Sep 23, 2025

    Top Performing Leveraged/Inverse ETFs: 09/21/2025

    Top Performing Leveraged/Inverse ETFs Last Week These were last week's top performing leveraged and inverse ETFs. Note that because of leverage, these kinds of funds can move quickly.

    AI research layers

    Interpretive context generated from the platform’s current data sources.

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