longbridge-etf-analysis

Compare original and translation side by side

🇺🇸

Original

English

🇨🇳

Translation

Chinese

longbridge-etf-analysis

Prompt-only analysis skill. Analyses ETFs across five dimensions: product profile, tracking error, liquidity, premium/discount, and allocation fit — supporting both US-listed ETFs and A-share ETFs.

Response language: match the user's input language — Simplified Chinese / Traditional Chinese / English.

纯提示词驱动的分析Skill。从五个维度分析ETF：产品概况、跟踪误差、流动性、折溢价以及配置适配性——支持美股ETF和A股ETF。

回复语言：匹配用户输入语言——简体中文/繁体中文/英文。

When to use

适用场景

"QQQ 和 QQQM 哪个更适合长期持有？" / "QQQ vs QQQM for long-term holding?"
"这只 ETF 的跟踪误差大不大？" / "Is the tracking error on this ETF high?"
"510300 现在溢价还是折价？" / "Is 510300 trading at a premium or discount?"
"帮我分析沪深300 ETF 的流动性" / "Analyse the liquidity of CSI 300 ETFs"
"行业 ETF 怎么选？" / "How to pick a sector ETF?"

For index constituent stocks route to

longbridge-constituent

. For individual stock valuation route to

longbridge-valuation

"QQQ 和 QQQM 哪个更适合长期持有？" / "QQQ vs QQQM for long-term holding?"
"这只 ETF 的跟踪误差大不大？" / "Is the tracking error on this ETF high?"
"510300 现在溢价还是折价？" / "Is 510300 trading at a premium or discount?"
"帮我分析沪深300 ETF 的流动性" / "Analyse the liquidity of CSI 300 ETFs"
"行业 ETF 怎么选？" / "How to pick a sector ETF?"

如需查询指数成分股，请跳转至

longbridge-constituent

。如需个股估值，请跳转至

longbridge-valuation

。

CLI

Run

longbridge <subcommand> --help

to verify exact flags.

bash

undefined

运行

longbridge <subcommand> --help

查看具体参数。

bash

undefined

ETF quote — price, volume, market cap, turnover

longbridge quote <ETF_SYMBOL> --format json

Constituent holdings — underlying stocks and weights

longbridge constituent <ETF_SYMBOL> --format json

Historical price — compute tracking error vs index

longbridge kline <ETF_SYMBOL> --period day --count 60 --format json

Index / benchmark price for comparison

longbridge kline <BENCHMARK_SYMBOL> --period day --count 60 --format json

Valuation indices (PE/PB of ETF if available)

longbridge calc-index <ETF_SYMBOL> --format json

undefined

longbridge calc-index <ETF_SYMBOL> --format json

undefined

Five-dimension analysis

五维度分析

1. Product profile

1. 产品概况

Extract from

quote

constituent

output:

Underlying index tracked
AUM / total market cap (proxy)
Expense ratio (if available in quote metadata; otherwise note "check fund prospectus")
Inception date / listing exchange

从

quote

和

constituent

输出中提取：

跟踪的标的指数
AUM/总市值（替代指标）
费率（若行情元数据中有则显示；否则标注“请查阅基金招股说明书”）
成立日期/上市交易所

2. Tracking error

2. 跟踪误差

Fetch ETF daily kline and benchmark daily kline (60 bars).
Daily return difference:
```
d_i = r_ETF_i − r_index_i
```
Tracking error (annualised):
```
TE = std(d) × √252
```
Interpretation: TE < 0.3% excellent; 0.3–1% acceptable; > 1% investigate.

获取ETF每日K线和基准指数每日K线（60条数据）。
每日收益差：
```
d_i = r_ETF_i − r_index_i
```
年化跟踪误差：
```
TE = std(d) × √252
```
解读：TE < 0.3%为优秀；0.3–1%为合格；> 1%需进一步排查。

3. Liquidity

3. 流动性

From

quote

Average daily volume and turnover
Bid-ask spread (if tick data available; otherwise use turnover-rate as proxy)
Liquidity flag: turnover-rate > 0.5% = liquid; < 0.1% = illiquid (A-share ETFs)

从

quote

中获取：

日均成交量和换手率
买卖价差（若有逐笔数据则显示；否则用换手率作为替代指标）
流动性标识：换手率>0.5%=流动性充足；<0.1%=流动性不足（A股ETF）

4. Premium / discount (NAV vs market price)

4. 折溢价（净值NAV vs市价）

For A-share ETFs:

premium = (market price − NAV) / NAV × 100%

NAV may not be in real-time quote; note this and use EOD NAV if available.
Persistent premium > 2% or discount < −2% signals arbitrage opportunity or liquidity issue.
For US ETFs: premium/discount is typically < 0.1% due to continuous creation/redemption.

对于A股ETF：

溢价率 = (市价 − NAV) / NAV × 100%

NAV可能未包含在实时行情中；需标注此情况，若有可用的收盘NAV则使用。
持续溢价>2%或折价<−2%意味着存在套利机会或流动性问题。
对于美股ETF：由于持续的申赎机制，折溢价通常<0.1%。

5. Allocation fit

5. 配置适配性

Index type: broad market (SPY/QQQ/510300) vs sector (XLK/515790) vs factor (value/growth/momentum)
Currency and market exposure
Overlap analysis: if user holds multiple ETFs, flag significant holdings overlap from
```
constituent
```

指数类型：宽基（SPY/QQQ/510300）vs行业（XLK/515790）vs因子（价值/成长/动量）
币种和市场敞口
重叠分析：若用户持有多只ETF，从
```
constituent
```
中标记显著的持仓重叠情况

Workflow

工作流程

Resolve ETF symbol to
```
<CODE>.<MARKET>
```
(e.g.
```
SPY.US
```
,
```
510300.SH
```
).
Concurrently fetch:
```
quote
```
,
```
constituent
```
, ETF kline, benchmark kline.
Compute TE, assess liquidity, estimate premium/discount.
Summarise all five dimensions.
Output structured report (template below). Cite Longbridge Securities.

将ETF代码解析为
```
<CODE>.<MARKET>
```
格式（例如
```
SPY.US
```
、
```
510300.SH
```
）。
并行获取：
```
quote
```
、
```
constituent
```
、ETF K线、基准指数K线。
计算跟踪误差TE，评估流动性，估算折溢价。
汇总五个维度的分析结果。
输出结构化报告（模板如下）。注明数据来源为Longbridge Securities。

Output template

输出模板

{ETF Symbol} analysis — Source: Longbridge Securities

[1. Product profile]
- Index tracked: {name}  |  Exchange: {ex}
- AUM proxy (mkt cap): {$X}  |  Expense ratio: {X% / see prospectus}

[2. Tracking error (60-day)]
- Annualised TE: X%  → {excellent / acceptable / elevated}

[3. Liquidity]
- Avg daily volume: {X}  |  Turnover rate: X%  → {liquid / moderate / illiquid}
- Bid-ask spread estimate: {X% / data unavailable}

[4. Premium / Discount]
- Latest: {+X% premium / −X% discount / ~flat}
- Note: {A-share ETF — NAV published after close / US ETF — near-zero typical}

[5. Allocation fit]
- Type: {broad market / sector / factor}
- Key holdings (top 5): {list from constituent}
- Currency exposure: {USD / CNY / HKD}

[Summary]
{2–3 sentence overall assessment}

⚠️ 以上分析仅供参考，不构成投资建议。/ 以上分析僅供參考，不構成投資建議。/ For reference only. Not investment advice.

{ETF Symbol}分析 — 来源：Longbridge Securities

[1. 产品概况]
- 跟踪指数：{name}  |  交易所：{ex}
- AUM替代指标（市值）：{$X}  |  费率：{X% / 请查阅招股说明书}

[2. 跟踪误差（60日）]
- 年化TE：X%  → {优秀 / 合格 / 偏高}

[3. 流动性]
- 日均成交量：{X}  |  换手率：X%  → {充足 / 适中 / 不足}
- 买卖价差估算：{X% / 数据不可用}

[4. 折溢价]
- 当前情况：{+X%溢价 / −X%折价 / 基本持平}
- 说明：{A股ETF——NAV收盘后发布 / 美股ETF——通常接近零}

[5. 配置适配性]
- 类型：{宽基 / 行业 / 因子}
- 前五大重仓股：{来自constituent的列表}
- 币种敞口：{美元 / 人民币 / 港币}

[总结]
{2-3句话的整体评估}

⚠️ 以上分析仅供参考，不构成投资建议。/ 以上分析僅供參考，不構成投資建議。/ For reference only. Not investment advice.

Error handling

错误处理

Situation	简体回复	繁體回復	English reply
`command not found: longbridge`	切换到 MCP；若不可用，请安装 longbridge-terminal	切換至 MCP；若不可用，請安裝 longbridge-terminal	Fall back to MCP; if unavailable, install longbridge-terminal
stderr `not logged in`	请执行 `longbridge auth login`	請執行 `longbridge auth login`	Run `longbridge auth login`
`constituent` returns empty	持仓数据暂不可用，跳过重叠分析	持倉數據暫不可用，跳過重疊分析	Constituent data unavailable; skipping overlap analysis
Benchmark kline unavailable	无法计算跟踪误差，仅显示 ETF 本身收益	無法計算追蹤誤差，僅顯示 ETF 本身收益	Cannot compute TE; showing ETF return only

场景	简体回复	繁體回復	English reply
`command not found: longbridge`	切换到MCP；若不可用，请安装longbridge-terminal	切換至MCP；若不可用，請安裝longbridge-terminal	Fall back to MCP; if unavailable, install longbridge-terminal
stderr `not logged in`	请执行 `longbridge auth login`	請執行 `longbridge auth login`	Run `longbridge auth login`
`constituent` 返回空值	持仓数据暂不可用，跳过重叠分析	持倉數據暫不可用，跳過重疊分析	Constituent data unavailable; skipping overlap analysis
基准指数K线不可用	无法计算跟踪误差，仅显示ETF本身收益	無法計算追蹤誤差，僅顯示ETF本身收益	Cannot compute TE; showing ETF return only

MCP fallback

MCP降级方案

CLI command	MCP tool
`longbridge quote`	`mcp__longbridge__quote`
`longbridge constituent`	`mcp__longbridge__constituent`
`longbridge kline`	`mcp__longbridge__candlesticks`
`longbridge calc-index`	`mcp__longbridge__calc_indexes`

CLI命令	MCP工具
`longbridge quote`	`mcp__longbridge__quote`
`longbridge constituent`	`mcp__longbridge__constituent`
`longbridge kline`	`mcp__longbridge__candlesticks`
`longbridge calc-index`	`mcp__longbridge__calc_indexes`

Related skills

File layout

文件结构

longbridge-etf-analysis/
└── SKILL.md          # prompt-only, no scripts/

longbridge-etf-analysis/
└── SKILL.md          # prompt-only, no scripts/

longbridge-etf-analysis

Original

Translation

longbridge-etf-analysis

longbridge-etf-analysis

When to use

适用场景

CLI

CLI

ETF quote — price, volume, market cap, turnover

ETF quote — price, volume, market cap, turnover

Constituent holdings — underlying stocks and weights

Constituent holdings — underlying stocks and weights

Historical price — compute tracking error vs index

Historical price — compute tracking error vs index

Index / benchmark price for comparison

Index / benchmark price for comparison

Valuation indices (PE/PB of ETF if available)

Valuation indices (PE/PB of ETF if available)

Five-dimension analysis

五维度分析

1. Product profile

1. 产品概况

2. Tracking error

2. 跟踪误差

3. Liquidity

3. 流动性

4. Premium / discount (NAV vs market price)

4. 折溢价（净值NAV vs市价）

5. Allocation fit

5. 配置适配性

Workflow

工作流程

Output template

输出模板

Error handling

错误处理

MCP fallback

MCP降级方案

Related skills

相关技能

File layout

文件结构