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references/asset-allocation.md
4.47 KB · Sep 30, 2026 · 23:19 UTC
# longbridge-asset-allocation Prompt-only analysis skill. Explains major asset-allocation frameworks (MPT efficient frontier, Black-Litterman, risk parity, all-weather) and, when the user is logged in, applies them to their actual Longbridge portfolio data. ## Workflow 1. **Framework selection**: identify which allocation approach the user wants (MPT / Black-Litterman / risk parity / all-weather / practical advice). 2. **Account data** (if logged in): fetch current positions and 252-day price history for each holding. 3. **Explain the framework** with the user's actual holdings as context. 4. **Generate suggested target weights** based on the chosen framework. 5. Present the allocation with rationale. ## CLI Run `longbridge <subcommand> --help` to verify exact flags before calling. ```bash # Current holdings (if user is logged in) longbridge portfolio --format json longbridge positions --format json # 252-day daily price history for each holding (run concurrently; ~1 year for covariance) longbridge kline <SYMBOL> --period day --count 252 --format json # Optional: valuation context longbridge calc-index <SYMBOL> --format json ``` ## Framework Reference ### MPT (Modern Portfolio Theory) - Compute expected return (historical mean daily return × 252) and covariance matrix from 252-day returns. - Find minimum-variance portfolio and tangency portfolio (max Sharpe). - Caution: MPT is sensitive to input estimation error; treat outputs as directional, not prescriptive. ### Black-Litterman - Start from market-cap equilibrium weights (CAPM implied returns). - Blend user's views (e.g. "I expect TSLA to outperform by 5%") via Bayesian update. - Output: posterior expected returns + revised weights. - Explain conceptually; provide numeric illustration when user supplies explicit views. ### Risk Parity - Allocate so each asset contributes equally to total portfolio volatility. - Approximate weight ∝ 1 / volatility (simplified). For full risk parity use covariance. - Result: typically overweights low-volatility assets (bonds, gold) vs equities. ### All-Weather (Bridgewater style) - 4 economic quadrants: growth up/down × inflation up/down. - Suggested weight guidance: 30% equities, 40% long bonds, 15% intermediate bonds, 7.5% gold, 7.5% commodities. - Map user's holdings to quadrant exposure; identify gaps. ## Output template ``` Asset Allocation Analysis — Source: Longbridge Securities Framework: <MPT / Black-Litterman / Risk Parity / All-Weather / Practical> Date: <today> [Current Portfolio] Asset Weight Expected Return Volatility (ann.) <symbol> <N>% <N>% <N>% ... [Suggested Allocation — <Framework>] Asset Target Weight Rationale <symbol> <N>% <reason> ... [Key Metrics] - Portfolio expected return (ann.): N% - Portfolio volatility (ann.): N% - Sharpe ratio (rf=4%): N [Caveats] - Historical returns do not guarantee future results. - Covariance estimates are noisy over short windows. - <framework-specific caveats> ⚠️ 仅供参考,不构成投资建议。/ 僅供參考,不構成投資建議。/ For reference only. Not investment advice. ``` ## 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` | 未登录时将使用用户指定的标的做示例分析 | 未登入時將使用用戶指定的標的做示例分析 | Not logged in — will analyse user-specified symbols instead. | | Price history < 60 days | 数据不足,降级为简单波动率估算 | 數據不足,降級為簡單波動率估算 | Insufficient history; degrade to simple volatility estimate. | | No positions and no symbols given | 请提供要分析的标的或登录账户 | 請提供要分析的標的或登入賬戶 | Please provide symbols to analyse or log in to your account. |
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