TGRZ
China AI Tigers LLM ETF
Price Chart
Latest Quote
$11.66
| Previous Close | $10.84 |
| Open | $11.41 |
| Day High | $11.66 |
| Day Low | $11.41 |
| Volume | 7,721 |
Fund Information
| Net Assets | $1.36M |
| Expense Ratio | 0.86% |
| Category | Greater China Region |
| Fund Family | Tidal Investments LLC |
| Net Asset Value | $10.65 |
| Premium/Discount | 9.44% |
| Exchange | NGM |
📊 ETF Analysis
Company Data
Financial Ratios
Returns & Margins
Ownership
| Insider & Institutional transactions data not available |
Valuation Ratios
Analyst Data
Technical Indicators
| SMA20 | $12.11 |
| RSI | 35.27 |
| ATR | 0.6764 |
| Rel Volume | 0.48 |
Performance History
| Week | +12.77% |
| Month | -12.26% |
| YTD | -45.56% |
| 10 Years | -45.56% |
ETF Scoring Not Available
Exchange-traded funds (ETFs) are not scored using our fundamental analysis metrics, as they represent baskets of securities rather than individual companies.
Recent Price History
| Date | Close | Volume |
|---|---|---|
| 2026-10-27 | $11.66 | 6,500 |
| 2026-10-26 | $10.87 | 3,500 |
| 2026-10-23 | $10.65 | 14,900 |
| 2026-10-22 | $9.51 | 27,900 |
| 2026-10-21 | $10.59 | 900 |
| 2026-10-20 | $10.34 | 9,800 |
| 2026-10-19 | $10.76 | 1,100 |
| 2026-10-16 | $10.52 | 10,700 |
| 2026-10-15 | $10.98 | 22,900 |
| 2026-10-14 | $11.71 | 46,200 |
| 2026-10-13 | $12.68 | 8,100 |
| 2026-10-12 | $12.63 | 9,600 |
| 2026-10-09 | $13.14 | 2,200 |
| 2026-10-08 | $12.79 | 3,800 |
| 2026-10-07 | $14.20 | 11,000 |
| 2026-10-06 | $14.60 | 7,600 |
| 2026-10-05 | $13.91 | 22,800 |
| 2026-10-02 | $13.29 | 2,900 |
| 2026-10-01 | $13.70 | 17,600 |
| 2026-09-30 | $13.61 | 42,700 |
| 2026-09-29 | $13.17 | 8,200 |
| 2026-09-28 | $13.29 | 18,900 |
About China AI Tigers LLM ETF
The fund invests at least 80% of its net assets, plus borrowings for investment purposes, in equity securities and derivative instruments of companies that are located in China or are economically tied to China and that derive at least 50% of their assets, revenues, or profits from developing or commercializing artificial intelligence foundation models, large language models, machine learning systems, cloud AI platforms, AI operating systems, or related software infrastructure. For purposes of the fund’s 80% policy, derivative instruments are valued at their notional value. It is non-diversified.