— · 2026-10-10 · 目录取得日不等于上市日期或交易日
https://financialmodelingprep.com/mcp ↗米国 / LRNZ / AI broadly
TrueShares Technology, AI and Deep Learning ETF
Invests in companies connected with AI broadly; the exact scope follows the disclosed benchmark or strategy. [F1]
Benchmark / strategy: This ETF typically dedicates at least 80% of its net assets—including any funds borrowed for investment purposes—to the common stock of companies operating in the technology, artificial intelligence, and deep learning sectors. The fund also retains the flexibility to invest in small and mid-capitalization companies, a strategy the Adviser believes may lead to enhanced capital appreciation and dividend yield from these comparatively smaller firms. It is important to note that this fund is structured as non-diversified.
毎週月曜日10:00（北京時間）に既存ETFのデータと米国・香港・中国本土のETF一覧を更新します。各項目の報告日を保持します。
Last completed refresh: 2026-10-10 22:56 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
ETF Fund assets · 100m— USD
—
年間費用0.68%
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 |
|---|---|---|---|
| Issuer | TrueShares | — | [F1] |
| Benchmark / strategy | This ETF typically dedicates at least 80% of its net assets—including any funds borrowed for investment purposes—to the common stock of companies operating in the technology, artificial intelligence, and deep learning sectors. The fund also retains the flexibility to invest in small and mid-capitalization companies, a strategy the Adviser believes may lead to enhanced capital appreciation and dividend yield from these comparatively smaller firms. It is important to note that this fund is structured as non-diversified. | — | [F1] |
| Inception / listing | 2020-02-28 | 2020-02-28 | |
| isin | US2103227565 | — |
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) | 43,963,705.00 | — | Provider updatedAt is not the asset report date. NAV currency is not assumed to be AUM currency. updatedAt 2026-10-10T03:09:00.029Z |
保有銘柄
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.
出典と欠損
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 · 2026-10-10 22:55 UTC+8
[
{
"field": "fmp_information",
"code": "CAPABILITY_ACCOUNT_HOURLY_QUOTA",
"retained": true
},
{
"field": "issuer_fields",
"code": "CAPABILITY_ACCOUNT_HOURLY_QUOTA",
"retained": true
},
{
"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 ↗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] |