Multi-factor cross-sectional stock-selection strategy via Longbridge Securities — scores stocks in an index or candidate pool on value (1/PE, 1/PB), momentum (60-day return), quality (ROE), and low-volatility (60-day HV) factors; standardises to Z-scores; composites with equal or IC-weighted combination; constructs a TopN long portfolio (high-score group) and bottom-N short portfolio. Triggers: "多因子", "因子选股", "量化选股", "多因子模型", "因子投资", "横截面", "TopN组合", "IC权重", "多因子", "因子選股", "量化選股", "多因子模型", "橫...
Scanned 9/2/2026
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---
name: longbridge-multifactor
description: |
Multi-factor cross-sectional stock-selection strategy via Longbridge Securities — scores stocks in an index or candidate pool on value (1/PE, 1/PB), momentum (60-day return), quality (ROE), and low-volatility (60-day HV) factors; standardises to Z-scores; composites with equal or IC-weighted combination; constructs a TopN long portfolio (high-score group) and bottom-N short portfolio. Triggers: "多因子", "因子选股", "量化选股", "多因子模型", "因子投资", "横截面", "TopN组合", "IC权重", "多因子", "因子選股", "量化選股", "多因子模型", "橫截面", "multi-factor", "factor investing", "quantitative stock selection", "cross-sectional factor", "factor model", "IC weighting", "factor composite", "TopN portfolio", "factor score", "Z-score ranking".
license: MIT
metadata:
author: longbridge
version: "1.0.0"
risk_level: read_only
requires_login: false
default_install: true
requires_mcp: false
tier: analysis
---
# longbridge-multifactor
Cross-sectional multi-factor quantitative stock selection. Scores a universe of stocks on value, momentum, quality, and low-volatility factors; composites the scores; ranks stocks; and outputs a TopN buy list and bottom-N short list with factor-level attribution.
> **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English.
## When to use
- User asks for quantitative factor-based stock selection within an index or a specified list of symbols.
- Triggers: "SPX 多因子选股", "恒生指数量化因子排名", "CSI 300 factor model TopN", "IC加权因子合成".
## Workflow
1. **Get universe**: fetch index constituents:
`longbridge constituent <INDEX> --format json`
Extract the `stocks` key. If the user provides a custom list, skip this step.
2. **Fetch valuation factors** for each symbol (batched, up to 20 stocks for manageable output):
`longbridge calc-index <SYMBOL> --format json`
Extract PE, PB, ROE. Value factors: `f_value = 0.5 × (1/PE) + 0.5 × (1/PB)` (normalised).
3. **Fetch price history** for momentum and low-vol:
`longbridge kline <SYMBOL> --period day --count 60 --format json`
- Momentum: (close_today / close_60d_ago) − 1
- Low-volatility: annualised std of last 60 daily returns × √252 (negate: lower HV → higher score)
4. **Standardise** each factor across the universe to Z-scores (subtract mean, divide by std).
5. **Composite score**:
- Equal-weight: `score = 0.25 × Z_value + 0.25 × Z_momentum + 0.25 × Z_quality + 0.25 × Z_lowvol`
- IC-weighted (if the user specifies): weight each factor by its historical IC (information coefficient); if IC data unavailable, default to equal-weight.
6. **Rank and output**:
- Top 20%: buy / long signal
- Bottom 20%: avoid / short signal
- Display top-10 and bottom-10 stocks with individual factor Z-scores and composite score.
Run `longbridge constituent --help`, `longbridge calc-index --help`, and `longbridge kline --help` to verify current flag names.
## CLI
```bash
longbridge constituent --help
longbridge calc-index --help
longbridge kline --help
longbridge constituent <INDEX> --format json
longbridge calc-index <SYMBOL> --format json
longbridge kline <SYMBOL> --period day --count 60 --format json
```
Supported index examples: `HSI.HK`, `SPX.US`, `IXIC.US`, `DJI.US`, `000300.SH`.
## Output
| Column | 简体 | 繁體 | English |
|---|---|---|---|
| Composite score | 综合得分 | 綜合得分 | Composite score |
| Value Z | 价值因子 Z 值 | 價值因子 Z 值 | Value Z-score |
| Momentum Z | 动量因子 Z 值 | 動量因子 Z 值 | Momentum Z-score |
| Quality Z | 质量因子 Z 值 | 質量因子 Z 值 | Quality Z-score |
| Low-vol Z | 低波动因子 Z 值 | 低波動因子 Z 值 | Low-vol Z-score |
| Signal | 信号 | 訊號 | Signal |
Output: top-10 / bottom-10 ranked table → factor dispersion summary → composite methodology note. Add caveat that the universe is limited by API throughput. Cite **Longbridge Securities** / **数据来源:长桥证券** / **數據來源:長橋證券**.
## Error handling
| Situation | 简体回复 | 繁體回復 | English reply |
|---|---|---|---|
| `command not found: longbridge` | 回退到 MCP 或提示安装 longbridge-terminal | 回退到 MCP 或提示安裝 longbridge-terminal | Fall back to MCP or install longbridge-terminal |
| `not logged in` / `unauthorized` | 请运行 `longbridge auth login` | 請執行 `longbridge auth login` | Run `longbridge auth login` |
| `calc-index` returns null PE/PB | 跳过该标的,标注"数据缺失" | 跳過該標的,標注"數據缺失" | Skip symbol; mark as "data missing" |
| Universe > 50 stocks | 自动截取前50只成交额最大的标的 | 自動截取前50只 | Auto-limit to top-50 by turnover |
| Other stderr | 直接显示原始错误 | 直接顯示原始錯誤 | Surface verbatim |
## MCP fallback
When the CLI is unavailable, fall back to the MCP server. Discover available tools from the MCP server's tool list at runtime.
## Related skills
- `longbridge-constituent` — index member list
- `longbridge-valuation` — single-stock PE/PB detail
- `longbridge-performance-attribution` — evaluate ex-post performance of the factor portfolio
- `longbridge-correlation` — factor collinearity check
## File layout
```
longbridge-multifactor/
└── SKILL.md
```
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