| name | longbridge-risk-analysis |
| description | Risk measurement and stress testing via Longbridge — computes VaR (historical simulation / parametric), CVaR (expected shortfall), max drawdown, Sharpe ratio, Calmar ratio, and runs historical scenario stress tests (2008 GFC, 2020 COVID crash, 2022 rate-hike cycle). Triggers: "风险分析", "VaR", "压力测试", "最大回撤", "夏普比率", "CVaR", "历史情景", "尾部风险", "风险测量", "風險分析", "壓力測試", "最大回撤", "夏普比率", "歷史情景", "尾部風險", "風險測量", "risk analysis", "VaR value at risk", "CVaR", "stress test", "max drawdown", "Sharpe ratio", "Calmar ratio", "tail risk", "historical scenario".
|
| license | MIT |
| metadata | {"author":"longbridge","version":"1.0.0","risk_level":"account_read","requires_login":false,"default_install":true,"requires_mcp":false,"tier":"analysis"} |
longbridge-risk-analysis
Prompt-only analysis skill. Fetches price history and account positions to compute portfolio risk metrics (VaR, CVaR, max drawdown, Sharpe, Calmar) and runs historical scenario stress tests.
Response language: match the user's input language — Simplified Chinese / Traditional Chinese / English.
When to use
- "帮我做风险分析" / "風險分析" / "run a risk analysis on my portfolio"
- "计算 VaR" / "計算 VaR" / "calculate VaR"
- "最大回撤是多少" / "最大回撤" / "what is the max drawdown"
- "夏普比率分析" / "夏普比率" / "Sharpe ratio analysis"
- "压力测试一下" / "壓力測試" / "run a stress test"
- "如果2008年金融危机再来，我的组合会损失多少" / "historical scenario stress test"
Workflow
- Fetch current positions (if logged in) or use user-specified symbols.
- Fetch 252-day daily price history for each symbol concurrently.
- Compute portfolio daily return series (weighted by current/equal weights).
- Calculate risk metrics and run scenario analyses.
- Present a structured risk report.
CLI
Run longbridge <subcommand> --help to verify exact flags before calling.
longbridge portfolio --format json
longbridge positions --format json
longbridge kline <SYMBOL> --period day --count 252 --format json
Calculations
Core Risk Metrics
| Metric | Method |
|---|
| Historical VaR (95%) | 5th percentile of 252-day daily portfolio return distribution |
| Historical VaR (99%) | 1st percentile of same distribution |
| Parametric VaR (95%) | μ − 1.645σ (assuming normal distribution; annualised → daily) |
| CVaR / Expected Shortfall (95%) | Mean of returns below VaR(95%) threshold |
| Max Drawdown | max peak-to-trough decline over the 252-day window |
| Sharpe Ratio | (Annual return − 4% risk-free) ÷ Annual volatility |
| Calmar Ratio | Annual return ÷ |
| Volatility (ann.) | Daily return std × √252 |
Historical Scenario Stress Tests
Approximate the impact of each scenario on the portfolio by applying historically-observed drawdowns as a proxy. State clearly that these are illustrative estimates based on past market events.
| Scenario | Reference period | Typical equity drawdown |
|---|
| 2008 GFC | Sep 2008 – Mar 2009 | S&P 500 −57% |
| 2020 COVID crash | Feb 2020 – Mar 2020 | S&P 500 −34% |
| 2022 rate-hike cycle | Jan 2022 – Oct 2022 | S&P 500 −25%; Nasdaq −35% |
| 2015 A-share crash | Jun 2015 – Aug 2015 | CSI 300 −45% |
Apply sector beta adjustments where data allows; otherwise use index drawdown × portfolio beta (estimated from 60-day regression against benchmark).
Output template
Portfolio Risk Analysis — Source: Longbridge Securities
Analysis window: 252 trading days Date: <today>
[Risk Metrics]
- Daily VaR (95%, historical): <N>% (1-day loss not exceeded 95% of the time)
- Daily VaR (99%, historical): <N>%
- CVaR / Expected Shortfall (95%): <N>%
- Max Drawdown (1yr): <N>% (peak: <date> → trough: <date>)
- Annualised Volatility: <N>%
- Sharpe Ratio (rf=4%): <N>
- Calmar Ratio: <N>
[Scenario Stress Tests]
Scenario Estimated Portfolio Loss Notes
2008 GFC −<N>% (~$<X>) Based on −57% S&P draw; beta adj.
2020 COVID −<N>% (~$<X>) Based on −34% S&P draw
2022 Rate-hike −<N>% (~$<X>) Based on −25% S&P draw
2015 A-share crash −<N>% (~$<X>) Applies if holding A-shares
[Risk Summary]
- Tail risk level: {Low / Medium / High}
- Largest risk contributor: <symbol> (<N>% of portfolio risk)
- Key concern: <observation>
⚠️ 风险指标基于历史数据估算，不预测未来损失。/ 風險指標基於歷史數據估算，不預測未來損失。/ Risk metrics are historical estimates and do not predict future losses.
Error handling
| Situation | 简体回复 | 繁體回復 | English reply |
|---|
command not found: longbridge | 回退到 MCP；若也不可用，请安装 longbridge-terminal | 回退到 MCP；若也不可用，請安裝 longbridge-terminal | Fall back to MCP; if unavailable, install longbridge-terminal. |
stderr not logged in | 未登录，请提供要分析的标的列表 | 未登入，請提供要分析的標的列表 | Not logged in — please provide symbol list to analyse. |
| Price history < 60 days | 数据不足，降级为近60日风险估算，结果可信度较低 | 數據不足，降級為近60日風險估算 | Insufficient history; results may be less reliable. |
| Single-asset portfolio | 无法计算分散化效益，仅显示单资产指标 | 無法計算分散化效益，僅顯示單資產指標 | Single asset — cannot compute diversification benefit. |
MCP fallback
If longbridge CLI is not installed, use MCP tools:
When the CLI is unavailable, fall back to the MCP server. Discover available tools from the MCP server's tool list at runtime — do not rely on hardcoded tool names.
MCP setup: claude mcp add --transport http longbridge https://openapi.longbridge.com/mcp (quote scope; trade_read for account data).
Related skills
- Portfolio health-check →
longbridge-portfolio-diagnosis
- Asset allocation frameworks →
longbridge-asset-allocation
- Portfolio rebalancing →
longbridge-portfolio-rebalance
File layout
longbridge-risk-analysis/
└── SKILL.md # prompt-only, no scripts/
