MicroSectors Solactive FANG ETF Profile
| BULZ ETF | USD 46.65 1.28 2.82% |
Performance 0High 19 · Constructive | NAV Risk Level HighLow 9 · Low |
One Year Return 307.4 | Total Asset | Etf Asset Type Equity | Category Trading--Leveraged Equity | Three Year Return 122.9 |
| 0.88 | SSO | ProShares Ultra SAMPP500 | PairCorr |
| 0.87 | SPXL | Direxion Daily SAMPP500 | PairCorr |
| 0.98 | QLD | ProShares Ultra QQQ | PairCorr |
| 0.87 | UPRO | ProShares UltraPro SAMPP500 | PairCorr |
ETF Notable Updates
| Legal Name | MicroSectors Solactive FANG Innovation 3X Leveraged ETNs |
| Thematic Ideas | (View all Themes) |
| Business Concentration | Theme ETFs, Strategy ETFs, Trading--Leveraged Equity, BMO Capital Markets, (View all Sectors) |
Additional ETF Information
| Issuer | Bank of Montreal |
| Inception Date | 2021-08-20 |
| Benchmark | Solactive FANG Innovation Index |
| Entity Type | Exchange-Traded Note |
| Asset Under Management | 3.46 billion |
| Asset Type | Equity |
| Category | Strategy |
| Focus | Theme |
| Market Concentration | Developed Markets |
| Region | North America |
| Exchange | NYSE Arca, Inc. |
| Market Maker | IMC |
| Total Expense | 0.95 |
| Country Name | USA |
| Returns Y T D | 74.80 |
| Name | MicroSectors Solactive FANG Innovation 3X Leveraged ETNs |
| Currency Code | USD |
| Open Figi | BBG012312V16 |
| In Threey Volatility | 81.14 |
| 1y Volatility | 104.72 |
| 200 Day M A | 24.688 |
| 50 Day M A | 25.2472 |
| Code | BULZ |
| Updated At | 10th of May 2026 |
| Currency Name | US Dollar |
| In Threey Sharp Ratio | 1.15 |
| Type | ETF |
Sector Allocation
Common Risk Profiles
| Mean Deviation | 4.4 | |||
| Semi Deviation | 4.56 | |||
| Standard Deviation | 5.52 | |||
| Variance | 30.51 |
Technical Analysis
Transformation |
MicroSectors Solactive FANG Against Markets
| BULZ | 2.82 | ||||
| NYA | 0.12 |
| Competition | Compare Correlations |
Investor Insights and Alerts
| MicroSectors Solactive is way too risky over 90 days horizon | |
| MicroSectors Solactive appears to be risky and price may revert if volatility continues | |
| Latest headline from thelincolnianonline.com: Micro Sectors FANG Innovation 3 x Leveraged ETN Sets New 52-Week High Time to Buy |
Thematic Classifications
![]() | Theme ETFsUSA ETFs from Theme classification | |
![]() | Strategy ETFsUSA ETFs from Strategy classification |
Top MicroSectors Solactive FANG ETF Constituents
| MU | Micron Technology | Stock | |
| TSLA | Tesla Inc | Stock | |
| NVDA | NVIDIA | Stock | |
| INTC | Intel | Stock | |
| ORCL | Oracle | Stock | |
| AVGO | Broadcom | Stock | |
| AMD | Advanced Micro Devices | Stock | |
| NFLX | Netflix | ETF | |
| GOOGL | Alphabet Inc Class A | Stock | |
| AAPL | Apple Inc | Stock | |
| PLTR | Palantir Technologies | Stock | |
| MSFT | Microsoft | Stock | |
| META | Meta Platforms | Stock | |
| APP | Applovin Corp | Stock | |
| AMZN | Amazon Inc | Stock |
Predictive Daily Indicators
Forecast Models
Forecasting applied to MicroSectors Solactive FANG in the Trading--Leveraged Equity space draws on price structure and volatility patterns. MicroSectors Solactive returned 307.4% over one year. Comparing multiple forecast methods helps gauge methodology sensitivity. For MicroSectors, tracking error between the forecast and actual outcomes over rolling windows helps calibrate model reliability.ETF Overview, Methodology & Data Sources
Methodology
Unless otherwise specified, data for MicroSectors Solactive FANG is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. MicroSectors Solactive FANG market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. All analytics presented are generated using Macroaxis quantitative models that incorporate financial statement analysis, market data, and risk metrics to ensure consistency and comparability. MicroSectors Solactive FANG may trade at a premium or discount to its reported net asset value (NAV) depending on intraday supply, demand, and underlying basket liquidity. Assumptions: We rely on public fund disclosures, holdings reports, and market data feeds and disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR as reference sources. Some values may reflect delayed dissemination. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.
Research Sources
MicroSectors Solactive FANG may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
