chore(benchmark): translate finance e2e case prompts to English
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jiayuan Zhang
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10 changed files with 121 additions and 121 deletions
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请完成一个高复杂度投研任务（中文输出）：
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Complete a high-complexity investment research task:
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目标：分析美股市值排名前十公司在最近三个完整财年的财报与经营质量，并给出 2026 年（2026-01-01 到 2026-12-31）的投资建议。
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Objective: Analyze the top 10 US stocks by market capitalization across their most recent three complete fiscal years and provide investment recommendations for 2026 (2026-01-01 to 2026-12-31).
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硬性要求：
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1. 以“截至 2026-02-01 的美股市值前十”为样本；如果个别公司数据窗口不完整，请注明并用“最近可得完整财年”替代。
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2. 每家公司生成 1 份详细分析，至少包含：收入与利润结构、毛利率/营业利润率趋势、现金流质量、资本开支与回购分红、估值区间、主要风险。
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3. 生成一个 Excel 文件（.xlsx），至少包含：`raw_data`、`company_scorecard`、`valuation`、`risk_matrix` 四个工作表。
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4. 生成一份综合报告，对十家公司做横向比较与分层（核心持仓/观察/回避），并给出 2026 年组合建议（含仓位区间和触发条件）。
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5. 单独输出 `sources.md`，列出关键数据来源链接与抓取时间。
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6. 所有结果统一放到新目录：`~/Desktop/multica-fin-bench/case-01/`。
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7. 如果无法直接生成 xlsx，请说明原因并提供结构等价的 CSV 文件集。
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Requirements:
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1. Use "top 10 US stocks by market cap as of 2026-02-01" as the sample; if data windows are incomplete for certain companies, note this and substitute with the most recent available complete fiscal year.
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2. Generate 1 detailed analysis per company, covering at minimum: revenue and profit structure, gross/operating margin trends, cash flow quality, capex and buybacks/dividends, valuation range, and key risks.
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3. Generate an Excel file (.xlsx) with at least 4 sheets: `raw_data`, `company_scorecard`, `valuation`, `risk_matrix`.
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4. Generate a comprehensive report with cross-company comparison and tiering (core holding / watchlist / avoid), along with 2026 portfolio recommendations (including position ranges and trigger conditions).
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5. Output a separate `sources.md` listing key data source links and retrieval timestamps.
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6. Place all output in a new directory: `~/Desktop/multica-fin-bench/case-01/`.
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7. If unable to generate xlsx directly, explain why and provide structurally equivalent CSV files.
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执行要求：先给出 8-12 步执行计划，再执行。最后做自检清单，确认文件齐全。
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Execution requirements: First present an 8-12 step execution plan, then execute. Conclude with a self-check checklist confirming all files are complete.
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请构建“AI 产业链基本面与估值评分”项目（中文输出）。
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Build an "AI Value Chain Fundamentals & Valuation Scorecard" project.
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股票池：NVDA、AMD、AVGO、MSFT、GOOGL、AMZN、META、TSM、ASML、ANET。
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时间范围：2023-01-01 到 2025-12-31（不足处用最近可得数据补齐并标记）。
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Stock universe: NVDA, AMD, AVGO, MSFT, GOOGL, AMZN, META, TSM, ASML, ANET.
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Time range: 2023-01-01 to 2025-12-31 (fill gaps with most recent available data and flag accordingly).
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任务要求：
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1. 构建一个 100 分制评分模型，至少包含 6 个维度：增长、盈利能力、资本效率、研发强度、现金流质量、估值安全边际。
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2. 给出每个维度的权重与打分逻辑，必须可复现。
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3. 生成 Excel（.xlsx）：`input_data`、`factor_scores`、`weighted_rank`、`scenario_2026`。
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4. 在 `scenario_2026` 中给出三种情景（乐观/基准/保守）下的目标区间与触发信号。
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5. 产出 `investment_memo.md`（含前 3 名的建仓逻辑和后 3 名的回避逻辑）。
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6. 产出 `sources.md`（来源链接 + 日期）。
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7. 输出目录：`~/Desktop/multica-fin-bench/case-02/`。
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Requirements:
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1. Construct a 100-point scoring model with at least 6 dimensions: growth, profitability, capital efficiency, R&D intensity, cash flow quality, and valuation margin of safety.
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2. Provide weights and scoring logic for each dimension; must be reproducible.
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3. Generate an Excel file (.xlsx) with sheets: `input_data`, `factor_scores`, `weighted_rank`, `scenario_2026`.
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4. In `scenario_2026`, provide target ranges and trigger signals under three scenarios (optimistic / base / conservative).
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5. Produce `investment_memo.md` (including entry logic for the top 3 and avoidance logic for the bottom 3).
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6. Produce `sources.md` (source links + dates).
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7. Output directory: `~/Desktop/multica-fin-bench/case-02/`.
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执行要求：先计划后执行；最后输出“可复现性检查”（别人按你的步骤是否能复现）。
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Execution requirements: Plan before executing; conclude with a "reproducibility check" (can someone else reproduce your results following your steps).
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请做“美国大型银行 2026 压力测试”任务（中文输出）。
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Perform a "US Major Bank 2026 Stress Test" task.
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样本：JPM、BAC、C、WFC、GS、MS。
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Sample: JPM, BAC, C, WFC, GS, MS.
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任务要求：
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1. 基于最近三个完整财年（优先 2023-2025）整理关键指标：净息差(NIM)、CET1、贷款损失准备、商业地产敞口、存款成本变化、未实现损失等。
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2. 构建两套压力情景：
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- Mild Recession：失业率上行 +150bp，联邦基金利率下行 100bp
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- Severe Recession：失业率上行 +300bp，联邦基金利率下行 200bp，CRE 违约率显著上行
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3. 估算各银行在两种情景下的利润与资本充足率变化方向，并给出脆弱点排序。
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4. 生成 Excel（.xlsx）：`bank_raw`、`stress_assumptions`、`impact_estimate`、`ranking`。
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5. 生成 `risk_brief.md`，包含“最需要警惕的 5 个风险信号”。
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6. 生成 `sources.md`。
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7. 输出到：`~/Desktop/multica-fin-bench/case-03/`。
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Requirements:
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1. Compile key metrics from the most recent three complete fiscal years (preferably 2023-2025): net interest margin (NIM), CET1, loan loss provisions, commercial real estate (CRE) exposure, deposit cost changes, unrealized losses, etc.
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2. Construct two stress scenarios:
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- Mild Recession: unemployment +150bp, federal funds rate -100bp
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- Severe Recession: unemployment +300bp, federal funds rate -200bp, CRE default rate significantly higher
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3. Estimate directional changes in profit and capital adequacy for each bank under both scenarios, and rank vulnerability.
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4. Generate an Excel file (.xlsx) with sheets: `bank_raw`, `stress_assumptions`, `impact_estimate`, `ranking`.
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5. Generate `risk_brief.md` containing "top 5 risk signals to watch."
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6. Generate `sources.md`.
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7. Output to: `~/Desktop/multica-fin-bench/case-03/`.
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执行要求：先给方法论，再给结果；最后列出你最不确定的 3 个假设。
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Execution requirements: Present methodology first, then results; conclude by listing the 3 assumptions you are least confident about.
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请做“美国消费板块与宏观变量联动分析”（中文输出）。
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Perform a "US Consumer Sector & Macro Variable Linkage Analysis."
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样本公司：WMT、COST、TGT、HD、LOW、MCD、SBUX、NKE、DIS、AMZN。
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时间范围：2023-01-01 到 2025-12-31。
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Sample companies: WMT, COST, TGT, HD, LOW, MCD, SBUX, NKE, DIS, AMZN.
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Time range: 2023-01-01 to 2025-12-31.
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任务要求：
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1. 将公司分为“必需消费/可选消费”两组，比较收入增速、利润率、库存变化、同店销售（如可得）与现金流质量。
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2. 结合宏观变量（CPI、实际工资、失业率、利率）分析各组盈利弹性。
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3. 构建“2026 三情景”盈利弹性矩阵：软着陆/再通胀/衰退。
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4. 生成 Excel（.xlsx）：`company_metrics`、`macro_series`、`elasticity_matrix`、`portfolio_actions`。
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5. 生成 `strategy_note.md`，给出 2026 年行业配置建议与再平衡触发条件。
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6. 生成 `sources.md`。
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7. 输出目录：`~/Desktop/multica-fin-bench/case-04/`。
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Requirements:
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1. Split companies into "consumer staples" and "consumer discretionary" groups; compare revenue growth, margins, inventory changes, same-store sales (if available), and cash flow quality.
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2. Analyze each group's earnings elasticity relative to macro variables (CPI, real wages, unemployment, interest rates).
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3. Build a "2026 three-scenario" earnings elasticity matrix: soft landing / reflation / recession.
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4. Generate an Excel file (.xlsx) with sheets: `company_metrics`, `macro_series`, `elasticity_matrix`, `portfolio_actions`.
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5. Generate `strategy_note.md` with 2026 sector allocation recommendations and rebalancing trigger conditions.
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6. Generate `sources.md`.
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7. Output directory: `~/Desktop/multica-fin-bench/case-04/`.
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执行要求：必须明确写出每个配置建议背后的可验证指标。
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Execution requirements: Each allocation recommendation must explicitly state the verifiable metrics behind it.
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请完成“能源价格冲击下的能源与运输行业敏感性分析”（中文输出）。
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Complete an "Energy Price Shock Sensitivity Analysis for Energy & Transport Sectors."
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样本：XOM、CVX、COP、SLB、DAL、UAL、FDX、UPS。
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时间范围：2023-01-01 到 2025-12-31。
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Sample: XOM, CVX, COP, SLB, DAL, UAL, FDX, UPS.
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Time range: 2023-01-01 to 2025-12-31.
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任务要求：
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1. 归纳各公司对油价/燃料成本的敏感方向与经营杠杆来源。
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2. 构建三种油价路径（2026 年）：
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- 情景A：WTI 均价 60 美元
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- 情景B：WTI 均价 80 美元
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- 情景C：WTI 均价 100 美元
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3. 估计不同情景下各公司盈利和估值的相对变化方向（可用区间而非点估计，但要说明依据）。
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4. 生成 Excel（.xlsx）：`raw_financials`、`oil_scenarios`、`sensitivity_map`、`trade_ideas`。
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5. 生成 `hedge_plan.md`，提出至少 2 套对冲或配对交易思路，并说明失效条件。
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6. 生成 `sources.md`。
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7. 输出到：`~/Desktop/multica-fin-bench/case-05/`。
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Requirements:
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1. Summarize each company's sensitivity direction to oil/fuel costs and sources of operating leverage.
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2. Construct three oil price paths for 2026:
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- Scenario A: WTI average $60
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- Scenario B: WTI average $80
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- Scenario C: WTI average $100
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3. Estimate directional changes in earnings and valuation for each company under different scenarios (ranges are acceptable over point estimates, but rationale must be provided).
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4. Generate an Excel file (.xlsx) with sheets: `raw_financials`, `oil_scenarios`, `sensitivity_map`, `trade_ideas`.
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5. Generate `hedge_plan.md` proposing at least 2 hedging or paired trade strategies, including conditions under which they would fail.
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6. Generate `sources.md`.
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7. Output to: `~/Desktop/multica-fin-bench/case-05/`.
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执行要求：结论必须包含“基准仓位 + 对冲仓位 + 触发阈值”。
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Execution requirements: Conclusions must include "base position + hedge position + trigger thresholds."
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请做“跨资产战术配置（2026）”项目（中文输出）。
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Build a "Cross-Asset Tactical Allocation (2026)" project.
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资产池：SPY、QQQ、IWM、TLT、IEF、HYG、GLD、DBC、BTC-USD。
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历史区间：2021-01-01 到 2025-12-31（月频即可）。
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Asset universe: SPY, QQQ, IWM, TLT, IEF, HYG, GLD, DBC, BTC-USD.
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Historical period: 2021-01-01 to 2025-12-31 (monthly frequency is sufficient).
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任务要求：
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1. 计算并比较关键指标：年化收益、波动率、最大回撤、Sharpe、相关性矩阵。
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2. 设计两种组合：
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- 防守型（目标最大回撤尽量低）
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- 进攻型（目标风险调整后收益更高）
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3. 对两种组合做 2026 三情景压力测试（增长放缓/通胀反复/流动性宽松），给出调仓规则。
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4. 生成 Excel（.xlsx）：`price_returns`、`risk_metrics`、`corr_matrix`、`portfolio_defensive`、`portfolio_offensive`、`scenario_test`。
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5. 生成 `allocation_memo.md`，说明为什么这两种组合在 2026 年有可执行性。
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6. 生成 `sources.md`。
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7. 输出目录：`~/Desktop/multica-fin-bench/case-06/`。
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Requirements:
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1. Calculate and compare key metrics: annualized return, volatility, maximum drawdown, Sharpe ratio, and correlation matrix.
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2. Design two portfolios:
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- Defensive (target: minimize maximum drawdown)
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- Offensive (target: higher risk-adjusted returns)
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3. Stress test both portfolios under three 2026 scenarios (growth slowdown / inflation resurgence / liquidity easing), and provide rebalancing rules.
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4. Generate an Excel file (.xlsx) with sheets: `price_returns`, `risk_metrics`, `corr_matrix`, `portfolio_defensive`, `portfolio_offensive`, `scenario_test`.
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5. Generate `allocation_memo.md` explaining why these two portfolios are actionable in 2026.
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6. Generate `sources.md`.
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7. Output directory: `~/Desktop/multica-fin-bench/case-06/`.
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执行要求：明确列出每个组合的再平衡频率、止损规则和再入场条件。
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Execution requirements: Explicitly state rebalancing frequency, stop-loss rules, and re-entry conditions for each portfolio.
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请做“高利率环境下 REIT 投资筛选”任务（中文输出）。
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Perform a "REIT Investment Screening in a High-Rate Environment" task.
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样本：VNQ、PLD、AMT、EQIX、O、SPG、PSA、DLR。
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Sample: VNQ, PLD, AMT, EQIX, O, SPG, PSA, DLR.
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任务要求：
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1. 整理最近三个完整财年的关键指标：FFO/AFFO 增速、杠杆、利息覆盖、债务到期结构、分红覆盖。
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2. 设计 2026 年三种利率情景（10Y 美债收益率 3.5% / 4.5% / 5.5%），分析估值压力与分红可持续性。
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3. 给出“持有/观察/回避”分类，并解释最关键的 2-3 个驱动因子。
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4. 生成 Excel（.xlsx）：`reit_raw`、`debt_profile`、`rate_scenarios`、`selection_result`。
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5. 生成 `reit_investment_note.md`。
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6. 生成 `sources.md`。
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7. 输出到：`~/Desktop/multica-fin-bench/case-07/`。
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Requirements:
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1. Compile key metrics from the most recent three complete fiscal years: FFO/AFFO growth, leverage, interest coverage, debt maturity profile, and dividend coverage.
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2. Design three 2026 interest rate scenarios (10Y Treasury yield at 3.5% / 4.5% / 5.5%) and analyze valuation pressure and dividend sustainability.
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3. Classify each as "hold / watchlist / avoid" and explain the 2-3 most critical driving factors.
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4. Generate an Excel file (.xlsx) with sheets: `reit_raw`, `debt_profile`, `rate_scenarios`, `selection_result`.
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5. Generate `reit_investment_note.md`.
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6. Generate `sources.md`.
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7. Output to: `~/Desktop/multica-fin-bench/case-07/`.
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执行要求：如果数据缺失，必须在表中显式标注 NA，不允许静默跳过。
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Execution requirements: If data is missing, it must be explicitly marked as NA in the tables; silent omission is not allowed.
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请做“财报质量法证分析”（中文输出）。
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Perform an "Earnings Quality Forensic Analysis."
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样本：AAPL、MSFT、GOOGL、AMZN、META、NVDA、TSLA、BRK.B、UNH、JPM。
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时间范围：2023-01-01 到 2025-12-31。
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Sample: AAPL, MSFT, GOOGL, AMZN, META, NVDA, TSLA, BRK.B, UNH, JPM.
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Time range: 2023-01-01 to 2025-12-31.
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任务要求：
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1. 建立财报质量检查框架，至少包含：应计项目质量、经营现金流与净利润匹配度、股权激励稀释、回购与债务关系、一次性项目影响。
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2. 对每家公司给出 Red/Yellow/Green 评级，并给出可追踪的证据。
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3. 生成 Excel（.xlsx）：`quality_raw`、`forensic_flags`、`rating_summary`、`watchlist_2026`。
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4. 生成 `forensic_report.md`，总结最值得警惕的 5 个红旗。
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5. 生成 `sources.md`。
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6. 输出目录：`~/Desktop/multica-fin-bench/case-08/`。
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Requirements:
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1. Establish an earnings quality inspection framework covering at minimum: accruals quality, operating cash flow to net income matching, stock-based compensation dilution, buyback-to-debt relationship, and one-time item impact.
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2. Assign each company a Red / Yellow / Green rating with traceable supporting evidence.
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3. Generate an Excel file (.xlsx) with sheets: `quality_raw`, `forensic_flags`, `rating_summary`, `watchlist_2026`.
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4. Generate `forensic_report.md` summarizing the 5 most concerning red flags.
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5. Generate `sources.md`.
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6. Output directory: `~/Desktop/multica-fin-bench/case-08/`.
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执行要求：必须在报告中明确“哪些结论是事实、哪些是推断”。
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Execution requirements: The report must clearly distinguish "which conclusions are factual vs. which are inferred."
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请做“财报后漂移（PEAD）策略可行性研究”（中文输出）。
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Perform a "Post-Earnings Announcement Drift (PEAD) Strategy Feasibility Study."
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研究区间：2023-01-01 到 2025-12-31。
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样本：请选取至少 30 只美股大中盘（给出选择标准）。
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Research period: 2023-01-01 to 2025-12-31.
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Sample: Select at least 30 US large/mid-cap stocks (provide selection criteria).
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任务要求：
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1. 定义一个可执行的 PEAD 信号（例如财报后 1-3 天信息、盈利超预期代理变量或公告后动量代理变量），并说明局限性。
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2. 对样本进行分组比较（高信号/低信号），分析随后 1 个月与 3 个月表现差异。
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3. 加入基础风控规则（仓位上限、止损、行业暴露限制），评估策略在 2026 年是否值得小规模试运行。
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4. 生成 Excel（.xlsx）：`universe`、`signal_definition`、`group_performance`、`risk_controls`、`pilot_plan_2026`。
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5. 生成 `pead_study.md`（包含方法、结果、偏差来源、落地建议）。
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6. 生成 `sources.md`。
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7. 输出到：`~/Desktop/multica-fin-bench/case-09/`。
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Requirements:
|
||||
1. Define an executable PEAD signal (e.g., post-earnings 1-3 day information, earnings surprise proxy, or post-announcement momentum proxy) and explain its limitations.
|
||||
2. Group the sample (high signal / low signal) and analyze performance differences at 1-month and 3-month horizons.
|
||||
3. Add basic risk controls (position limits, stop-loss, sector exposure limits) and evaluate whether the strategy warrants a small-scale pilot in 2026.
|
||||
4. Generate an Excel file (.xlsx) with sheets: `universe`, `signal_definition`, `group_performance`, `risk_controls`, `pilot_plan_2026`.
|
||||
5. Generate `pead_study.md` (covering methodology, results, sources of bias, and implementation recommendations).
|
||||
6. Generate `sources.md`.
|
||||
7. Output to: `~/Desktop/multica-fin-bench/case-09/`.
|
||||
|
||||
执行要求：必须给出“失败场景”与“停止试运行”的客观条件。
|
||||
Execution requirements: Must provide "failure scenarios" and objective conditions for "stopping the pilot."
|
||||
|
|
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|
@ -1,13 +1,13 @@
|
|||
请制作“2026 年 Q2 投资委员会材料包”（中文输出）。
|
||||
Produce a "Q2 2026 Investment Committee Materials Pack."
|
||||
|
||||
目标：面向一个美元多资产组合，形成可直接开会使用的投委会文件。
|
||||
Objective: Create meeting-ready investment committee documents for a USD multi-asset portfolio.
|
||||
|
||||
任务要求：
|
||||
1. 输出一个总览文件 `committee_pack.md`，结构至少包括：宏观判断、权益、利率、信用、商品、组合风险、执行清单。
|
||||
2. 输出一个 Excel（.xlsx）工作簿，至少包含：`macro_dashboard`、`equity_watchlist`、`rates_credit`、`commodity_view`、`portfolio_risk`、`action_tracker`。
|
||||
3. 在 `action_tracker` 中给出 2026 年 Q2 可执行动作，每条动作要有：触发条件、目标仓位变化、风控阈值、复盘时间点。
|
||||
4. 额外输出 `devil_advocate.md`，专门反驳你自己的核心投资观点，至少给 5 条反方论据。
|
||||
5. 额外输出 `sources.md`，列明关键数据来源与日期。
|
||||
6. 所有文件放到新目录：`~/Desktop/multica-fin-bench/case-10/`。
|
||||
Requirements:
|
||||
1. Output a summary document `committee_pack.md` with at least the following sections: macro outlook, equities, rates, credit, commodities, portfolio risk, and action list.
|
||||
2. Output an Excel workbook (.xlsx) with at least these sheets: `macro_dashboard`, `equity_watchlist`, `rates_credit`, `commodity_view`, `portfolio_risk`, `action_tracker`.
|
||||
3. In `action_tracker`, provide actionable items for Q2 2026, each with: trigger condition, target position change, risk control threshold, and review date.
|
||||
4. Additionally output `devil_advocate.md`, specifically rebutting your own core investment views with at least 5 counter-arguments.
|
||||
5. Additionally output `sources.md` listing key data sources and dates.
|
||||
6. Place all files in a new directory: `~/Desktop/multica-fin-bench/case-10/`.
|
||||
|
||||
执行要求：先列计划再执行；最后给“投委会 10 分钟口头汇报提纲”。
|
||||
Execution requirements: Plan first, then execute; conclude with a "10-minute oral briefing outline for the investment committee."
|
||||
|
|
|
|||
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