— · 2026-10-10 · 目录取得日不等于上市日期或交易日
https://financialmodelingprep.com/mcp ↗EUA / AGIX / AI broadly
KraneShares Public-Private AI & Technology ETF
Invests in companies connected with AI broadly; the exact scope follows the disclosed benchmark or strategy. [F1]
Benchmark / strategy: The KraneShares Artificial Intelligence & Technology ETF (AGIX) seeks to replicate the returns of a specialized benchmark. This benchmark measures the stock performance of companies operating in developed nations that are involved in artificial intelligence. Its weighting methodology is based on market capitalization, though it is modified and takes into account only shares readily available for public trading (free-float adjusted). Under typical market conditions, the fund primarily allocates its capital to the assets included in this benchmark index. It's important to note that this fund maintains a concentrated, rather than diversified, investment portfolio.
Toda segunda-feira às 10:00 (Pequim), são atualizados dados e listas dos EUA, Hong Kong, China continental, Europa, Japão, Coreia, Canadá, Austrália, Taiwan, Índia e Singapura. São indicados cobertura e limites das fontes; cada campo mantém sua data de relatório.
Last completed refresh: 2026-10-11 00:52 UTC+8 · Last complete list scan: Not yet recorded
Last fully successful refresh: Not yet recorded · Next scheduled refresh: 2026-10-12 10:00 UTC+8 · Initial verified snapshot: 2026-10-10
Some fields remain on their last valid dated observations
ETF Fund assets · 100m— USD
—
Custos anuais1.00%
FMP expenseRatio原始字段，净 / 总费用口径待发行人核对
Top 10 / holdings count—
—
Acquired rows0
未取得
Fund information
| Field | Value | Report date / period | Basis / evidence |
|---|---|---|---|
| Mercado de cotação | EUA | — | Cotação, domicílio e região investida são conceitos diferentes. Moeda de cotação e dos ativos são separadas. [D1] |
| Issuer | KraneShares | — | [F1] |
| Benchmark / strategy | The KraneShares Artificial Intelligence & Technology ETF (AGIX) seeks to replicate the returns of a specialized benchmark. This benchmark measures the stock performance of companies operating in developed nations that are involved in artificial intelligence. Its weighting methodology is based on market capitalization, though it is modified and takes into account only shares readily available for public trading (free-float adjusted). Under typical market conditions, the fund primarily allocates its capital to the assets included in this benchmark index. It's important to note that this fund maintains a concentrated, rather than diversified, investment portfolio. | — | [F1] |
| Inception / listing | 2024-07-17 | 2024-07-17 | |
| isin | US5007673636 | — | |
| securityCusip | 500767363 | — | |
| domicile | US | — | |
| assetClass | Equity | — |
Assets & calculation inputs
| Field | Value | Report date / period | Basis / evidence |
|---|---|---|---|
| Fund assets · 100m | — USD | — | 未取得带币种及资产报告日的规模 |
| FMP raw assets (currency not separately supplied) | 1,148,880,186.00 | — | Provider updatedAt is not the asset report date. NAV currency is not assumed to be AUM currency. updatedAt 2026-10-10T02:09:50.026Z [F1-20261010164528223] |
Posições
Holdings rows are unavailable. Zero acquired rows do not mean the fund owns nothing.
Issuer portfolio valuation
Verified portfolio valuation is unavailable. No PE or percentile is fabricated.
Dated historical returns
Dated returns with a clear basis are unavailable. No history is fabricated.
Investment perspective
Facts, calculations and analysis are distinguished. Theme labels do not imply pure AI revenue; industry growth does not determine fund returns.
Fontes e dados ausentes
FMP MCP first. Currency/date gaps and restricted fields use explicitly recorded supplementary sources. Retained values keep their original report dates.
Limits & retained observations
- 新纳入ETF，数据逐字段取得，缺失不补造
partial · 2026-10-11 00:45 UTC+8
[
{
"field": "issuer_fields",
"code": "NO_DATED_FIELDS_REFRESHED",
"retained": true
}
]— · 2026-10-10 · 通过信息字段核对基金注册地、活动状态、资产类型与ISIN
https://financialmodelingprep.com/mcp ↗— · 2026-10-10 ·
https://financialmodelingprep.com/mcp ↗— · 2026-10-10 ·
https://kraneshares.com/AGIX ↗SHA256 e74b766a387e9cea78118bc946b1188d5356cbe1b79d0a262f90e89f6a10f329
— · 2026-10-10 ·
https://financialmodelingprep.com/mcp ↗— · 2026-10-10 ·
https://kraneshares.com/AGIX ↗SHA256 60557b434f9ff2724872d50396c763c2fb552516b942b393b81482113c0e7da3
Expand field evidence
| Field | Value | Report date / period | Basis / evidence |
|---|---|---|---|
| summary | 投资AI 综合相关企业，具体投资范围以指数 / 策略说明为准。 | — | 目录主题及FMP策略资料概括，非每期持仓承诺 [F1] |
| fmp_aum | 1148880186 | — | FMP原始金额，资产币种及报告日未单列，不使用navCurrency替代 [F1-20261010164528223] |
| holdings_count | 47 | — | FMP供应商数量，报告日未提供 [F1-20261010164528223] |
| fmp_expense_ratio | 1 | — | FMP原始expenseRatio，净 / 总费用及生效日期未提供 [F1-20261010164528223] |