Home / weaxs / stock-analysis-plugin · skills/event-driven/SKILL.md · GitHub

event-driven skillA

event-driven is agent-read markdown (skill) from weaxs/stock-analysis-plugin: 事件驱动分析:评估公告、业绩、政策、订单或资本运作对个股的影响路径、定价程度和失效条件。.

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What the file says

# 事件驱动分析

## 输入数据说明

先运行:

```bash
python3 scripts/gather.py <symbol>
```

gather 工具返回:
- `quote` — 实时行情(价格、涨跌幅、成交量)
- `kline` — 60 日 K 线数据
- `technical` — 技术指标分析(趋势、支撑/阻力)
- `financials` — 基本面数据
- `news` — 近期新闻(事件识别核心来源)
- `stock_info` — 公司基本信息
- `sector_rankings` — 板块排名

新闻摘要只用于发现事件。金额、期限、合同对手、业绩变化或政策原文必须由公告/原文确认;只有摘要时不做精确量化。

制定短线计划时读取[短线交易决策框架](../stock-analysis/references/short-term-trading.md),用状态机、相对强弱和风险单位约束事件交易。

## 分析框架(4 步法)

### 1. 事件分类

从新闻中识别核心事件并分类:
- **业绩类**:业绩预告/快报/正式报告超预期或不及预期
- **政策类**:行业政策利好/利空、税收优惠、准入门槛
- **订单类**:大额合同、中标、战略合作
- **资本运作**:定增/回购/增持/减持/并购/重组
- **监管类**:立案调查、处罚、退市风险

### 2. 影响路径

按顺序建立可证伪链条:

1. **基线**:事件前市场已知什么、原有预期是什么。
2. **增量**:新事实相对基线改变了什么,而不是事件听起来有多重大。
3. **传导**:先影响销量、价格、成本、现金流、份额、估值或仅影响情绪。
4. **首个验证变量**:下一次公告、经营数据或价格行为中先观察什么。
5. **失效**:哪项事实或数据会切断传导链。

同时建立**催化时钟**:

- 区分一次性披露与持续兑现事件,并写出事件特有的有效窗口或下一个里程碑。
- 新增事实、经营数据或价格接受在窗口内出现时维持证据等级。
- 窗口结束仍未兑现、关键里程碑延期或新增事实削弱传导链时,逐级降低证据等级。
- 固定天数只作为经过对应事件类型回测的参数,优先使用公告日期、交付节点和定期报告等可观察里程碑。

### 3. 市场反应判断

按事件前、首次反应和后续接受三个阶段评估:

- 事件前是否已有同方向超额收益或公开预期证据。
- 首次反应是否由成交量、板块扩散和个股相对强度共同确认。
- 后续是延续、回补缺口还是重新跌回事件前区间。

单凭“此前上涨”不能证明已经 price-in;必须同时说明事件何时进入公开信息、原预期是什么以及价格在何时反应。

### 4. 交易计划

制定具体方案:
- 事件兑现前仓位建议
- 事件兑现后操作建议
…

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How to install

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Source

GitHub

weaxs/stock-analysis-plugin · 24 stars · license none · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_a7xgw2p263k475ce
GET https://markdownregistry.com/api/v1/resolve?ref=weaxs/stock-analysis-plugin/event-driven
GET https://markdownregistry.com/api/v1/blob/b3108600bbf48d2d6cf0eb2728409fea51a6caffa2a045b25cbdb244c273d0f7

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