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Trend Edge rates BMEZ Bullish with a Setup Score of 0, net conviction 42, actionability 0. How the Setup Score works →
| Total Setup Score | 0 |
|---|---|
| Directional Bias | Bullish |
| Net Conviction | 42 |
| Actionability | 0 (extended) |
| Current Price | $17.01 |
|---|---|
| Market Cap | $1.06B |
| Shares Outstanding | 62.5M |
| P/E (TTM) | 6.79 |
| Price/Sales (TTM) | 10.61 |
| Dividend Rate | 1.3% |
| Year | Revenue | Net Income | Gross Profit | EBITDA |
|---|---|---|---|---|
| 2019 | $114M | $113M | N/A | $113M |
| 2020 | $5.2M | $79.6M | $5.2M | $1.49B |
| 2021 | $59.7M | $59.1M | $6.4M | $53,937 |
| 2022 | -$26.0M | -$26.5M | -$26.0M | -$26.5M |
| 2023 | $8.2M | $20.0M | $28.9M | $20.0M |
| 2024 | $24.1M | $23.5M | $24.1M | $927,176 |
| Quarter | Revenue | Net Income |
|---|---|---|
| Jun 2023 | $16.6M | $11.3M |
| Dec 2023 | $18.3M | $8.7M |
| Jun 2024 | -$383,858 | $45.9M |
| Dec 2024 | $24.5M | -$22.5M |
| Institutional Ownership | 26.7% |
|---|---|
| % of All Funds Holding | 1.00% |
| Number of Funds Holding | 88 |
Trend Edge tracks near-term, medium-term, cyclical, and secular moving averages across weekly and monthly timeframes to identify trend structure at every horizon.
| Timeframe | SMA | Value | Trend Context |
|---|---|---|---|
| Weekly | 10-Week SMA | $15.85 | Near-term / short-term trend |
| Weekly | 40-Week SMA | $14.99 | Medium-term trend |
| Weekly | 80-Week SMA | $14.76 | Cyclical trend (business cycle) |
| Weekly | 200-Week SMA | $15.24 | Secular trend (multi-year) |
| Monthly | 10-Month SMA | $15.20 | Near-term monthly trend |
| Monthly | 20-Month SMA | $15.03 | Medium-term monthly trend |
| Monthly | 40-Month SMA | $15.18 | Secular monthly trend |
Trend Edge identifies volume shelves: price zones where historically elevated trading volume creates structural support or resistance. A volume shelf forms when a disproportionate share of cumulative volume was transacted at a specific price level, making it a high-conviction anchor for future price reactions.
Volume shelf data not available.
| Timeframe | Avg Return | Median | Win Rate | Best | Worst |
|---|---|---|---|---|---|
| Gap | -0.48% | -0.30% | 33.33% | 0.36% | -2.33% |
| 1 Day | -1.71% | -1.65% | 16.67% | 1.54% | -4.93% |
| 1 Week | -0.91% | -0.54% | 50.00% | 4.67% | -7.66% |
| 2 Weeks | -2.68% | -2.72% | 16.67% | 1.10% | -6.05% |
| 1 Month | 0.79% | 0.93% | 50.00% | 9.69% | -5.61% |
Next earnings: March 2, 2026
Insufficient historical data for monthly seasonality analysis (requires 7+ years of data).
| Day | Avg Return | Win Rate | Samples |
|---|---|---|---|
| Monday | -0.14% | 49.8% | 309 |
| Tuesday | -0.03% | 45.2% | 341 |
| Wednesday | 0.17% | 53.1% | 339 |
| Thursday | -0.12% | 48.2% | 332 |
| Friday | 0.12% | 52.9% | 329 |
Institutional holder breakdown coming soon.
Total institutional ownership: 26.7%
Full insider transaction history and smart buy/sell sentiment summary available on Trend Edge.
Trend Edge's AI Consult feature delivers a comprehensive, multi-layer trade plan for BlackRock Health Sciences Trust II (BMEZ) powered by Claude Opus — Anthropic's most capable AI model. The analysis covers five layers: technical analysis (near-term, medium-term, cyclical, and secular trend, momentum, volume shelf support and resistance, breakout and breakdown signals), qualitative analysis (business model, competitive moat, sector dynamics), insider sentiment (buy and sell signals from executive and director transactions), share stats analysis (institutional accumulation, fund positioning, short float squeeze potential), and fundamental analysis (valuation, revenue growth, profit margin, earnings quality).
AI Consult synthesizes all five layers into a single bullish or bearish thesis with explicit entry, exit, stop loss, and take profit levels — giving you a complete, AI-powered trade plan with defined risk/reward. Whether you are building a long position, initiating a short, or looking for a reversal setup, AI Consult identifies the highest-probability signal from the current trend.
Get the full AI Consult analysis for BMEZ on Trend Edge →