Climate Esg Investing
by @tangweigang-jpg
使用Fama-French因子模型进行气候ESG投资分析,支持月度股价数据下载、因子相关性计算、OLS回归诊断及显著性筛选,帮助用户构建因子组合和风险评估。
clawhub install climate-esg-investing📖 About This Skill
name: climate-esg-investing description: |- 使用Fama-French因子模型进行气候ESG投资分析,支持月度股价数据下载、因子相关性计算、OLS回归诊断及显著性筛选,帮助用户构建因子组合和风险评估。 license: Proprietary. See LICENSE.txt in project root. compatibility: Designed for Doramagic-host ecosystem (Claude Code / openclaw / Cursor). Requires Python 3.12+ with uv package manager. metadata: version: "v6.1" blueprint_id: "finance-bp-105" compiled_at: "2026-04-22T13:00:49.775031+00:00" capability_markets: "global" capability_activities: "macro-data" sop_version: "crystal-compilation-v6.1"
ESG 气候投资 (climate-esg-investing)
> 使用Fama-French因子模型进行气候ESG投资分析,支持月度股价数据下载、因子相关性计算、OLS回归诊断及显著性筛选,帮助用户构建因子组合和风险评估。
Pipeline
data_collection -> data_storage -> factor_computation -> target_selection -> trading_execution -> visualization
Top Use Cases (9 total)
Sector Stock Count and Significant Factor Regression Analyzer (UC-101)
Identifies how many stocks from an index fall into each sector and screens for stocks with statistically significant factor regression results based o
Triggers: sector composition, significant regression, p-value screeningFactor Correlation Calculator (UC-102)
Computes correlations between different factors over time to understand factor relationship dynamics and potential multicollinearity issues
Triggers: factor correlation, correlation matrix, factor relationshipsOLS Regression with Diagnostic Statistics (UC-103)
Performs ordinary least squares regression on factor data with comprehensive diagnostic tests including Durbin-Watson, Jarque-Bera, and Breusch-Pagan
Triggers: OLS regression, diagnostic tests, statistical testsFor all 9 use cases, see references/USE_CASES.md.
Execute trigger: When user intent matches intent_router.uc_entries[].positive_terms AND user uses action verb (run/execute/跑/执行/backtest/fetch/collect)
What I'll Ask You
Semantic Locks (Fatal)
| ID | Rule | On Violation |
|---|---|---|
| SL-01 | Execute sell orders before buy orders in every trading cycle | halt |
| SL-02 | Trading signals MUST use next-bar execution (no look-ahead) | halt |
| SL-03 | Entity IDs MUST follow format entity_type_exchange_code | halt |
| SL-04 | DataFrame index MUST be MultiIndex (entity_id, timestamp) | halt |
| SL-05 | TradingSignal MUST have EXACTLY ONE of: position_pct, order_money, order_amount | halt |
| SL-06 | filter_result column semantics: True=BUY, False=SELL, None/NaN=NO ACTION | halt |
| SL-07 | Transformer MUST run BEFORE Accumulator in factor pipeline | halt |
| SL-08 | MACD parameters locked: fast=12, slow=26, signal=9 | halt |
Full lock definitions: references/LOCKS.md
Top Anti-Patterns (14 total)
AP-MACRO-DATA-001: SEC EDGAR Rate Limit ViolationAP-MACRO-DATA-002: Temporal Knowledge Graph Look-Ahead BiasAP-MACRO-DATA-003: Technical Indicator Look-Ahead Bias via Missing ShiftAll 14 anti-patterns: references/ANTI_PATTERNS.md
Evidence Quality Notice
> [QUALITY NOTICE] This crystal was compiled from blueprint finance-bp-105. Evidence verify ratio = 3.3% and audit fail total = 20. Generated results may have uncaptured requirement gaps. Verify critical decisions against source files (LATEST.yaml / LATEST.jsonl).
Reference Files
| File | Contents | When to Load | |---|---|---| | references/seed.yaml | V6+ 全量权威 (source-of-truth) | 有行为/决策争议时必读 | | references/ANTI_PATTERNS.md | 14 条跨项目反模式 | 开始实现前 | | references/WISDOM.md | 跨项目精华借鉴 | 架构决策时 | | references/CONSTRAINTS.md | domain + fatal 约束 | 规则冲突时 | | references/USE_CASES.md | 全量 KUC-* 业务场景 | 需要完整示例时 | | references/LOCKS.md | SL-* + preconditions + hints | 生成回测/交易代码前 | | references/COMPONENTS.md | AST 组件地图(按 module 拆分)| 查 API 时 |
*Compiled by Doramagic crystal-compilation-v6.1 from finance-bp-105 blueprint at 2026-04-22T13:00:49.775031+00:00.*
*See human_summary.md for non-technical overview.*