Xpersona
agentCLAWHUBUnverified

Security Stock Picker

AI-powered stock selection engine for China A-share market combining quantitative factor screening, fundamental analysis, technical signals, and sector rotat... Skill: Security Stock Picker Owner: gechengling Summary: AI-powered stock selection engine for China A-share market combining quantitative factor screening, fundamental analysis, technical signals, and sector rotat... Tags: latest:3.0.3, security-stock-picker:3.0.3 Version history: v3.0.3 | 2026-09-30T07:02:58.743Z | user v3.0.3: narrow triggers (SQP-1), add data-minimisation + execution boundary, refresh to 2026-09-

OpenClaw
View on ClawHubHomepage

Rank

62

Safety

84

Downloads

1.2k

Updated

Oct 11, 2026

Version

3.0.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.2K downloads reported by the source. Last updated 10/11/2026.

Avoid when

  • Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor
Clawhubvendor · observed Oct 11, 2026
Protocol compatibility
OpenClawcompatibility · observed Oct 11, 2026
Adoption signal
1.2K downloadsadoption · observed Oct 11, 2026
Latest release
3.0.3release · observed Sep 30, 2026
Handshake status
UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17ewqc4f2s6gpcbm88hy7fgvn85kg1g:security-stock-picker
  1. Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
  2. Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-gechengling-security-stock-picker/snapshot"

Documentation

CLAWHUB

89,432 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
name: AI-Powered Stock Selection Engine
slug: security-stock-screening
description: AI-powered intelligent stock selection engine for China A-share market — covers quantitative factor screening, fundamental analysis ranking, technical signal detection, sector rotation analysis, and portfolio construction. Built for retail investors, fund managers, and quantitative analysts. Updated 2026 with latest factor models, short-seller vulnerability detection, and AI-enhanced stock screening. Keywords: stock selection, quantitative screening, factor investing, technical analysis, China A-share, stock picker, AI investing, 选股引擎, 量化选股, 因子投资, 技术分析, A股, 智能选股, 选股策略, 量化策略, AI选股, 股票筛选, 价值投资, 成长股, 短线选股.
version: "3.0.3"
---

# AI-Powered Stock Selection Engine / 智能选股引擎

> **English:** AI-powered intelligent stock selection engine for China A-share market — combines quantitative factor screening, fundamental analysis, technical signals, and sector rotation analysis. Solves pain points: information overload, emotional decision-making, and inconsistent stock picking criteria. Built for investors and analysts at all levels.
>
> **中文:** 智能选股引擎——整合量化因子筛选、基本面分析、技术信号检测、行业轮动分析的全流程选股工具。解决痛点：信息过载、情绪化决策、选股标准不统一。适用：各级投资者、基金经理、量化分析师。


---

## 数据最小化声明与执行边界 / Data Minimisation & Execution Boundary

**数据最小化前置声明：** 使用本技能时，请只提供构建筛选规则所必需的字段——股票代码、因子数值、报告期、已脱敏的持仓与可用资金规模。**不要**粘贴证券账户号、身份证号、银行账号、实际成交明细或他人持仓信息。若需基于个人持仓做再平衡分析，请用“标的+权重”的脱敏形式输入，不提供账户标识。

**保存与预览确认：** 本技能不执行任何保存动作。若你在自己环境中依据本技能生成候选池、组合方案或回测脚本，请在落盘或提交交易前**先预览结果、确认参数与阈值无误，再保存或执行**。

**代码块性质与执行边界**

| 内容 | 性质 | 谁来执行 |
|------|------|---------|
| `StockScreener` 类与因子权重表 | 因子定义、打分与归一化的口径说明 | 由研究员在自己的量化环境中取数并复现；技能不取数、不运行 |
| `THEMATIC_SCREENING` | 主题产业链拆解与筛选标准的结构化字典 | 由研究员按公开资料自行更新标的与标准 |
| `TechnicalSignals` 类 | 均线/支撑压力/量价异常的计算口径示意 | 由研究员在自有行情终端或回测框架中实现 |
| `FraudDetection` 类 | 财报异常指标的判定阈值说明 | 由研究员用公开财报数据计算，结论需人工复核 |
| `PortfolioBuilder` 类 | 等权重与风险平价的权重算法示意 | 由研究员在自有系统中运行；技能不下单、不调仓 |

本技能未配置任何工具调用权限，不执行代码、不读写文件、不访问行情或财报数据源，也不产生可直接执行的交易指令。文中代码块均为模型与阈值的教学示意，读者可在自己环境中参考实现；选股结果不构成投资建议，实盘前须独立核验数据与合规要求。

---


### 证券监管最新动态 [2026-09-30更新]

| 动态类型 | 内容摘要 | 影响范围 | 选股侧应对动作 | 责任岗 | 优先级 |
|---------|---------|---------|--------------|-------|-------|
| 证券监管 | 2026年A股量化资金占比30%-40%，选股模型需考虑量化冲击 | 选股引擎需增加量化冲击识别和极端行情风控 | 模型输出附带流动性冲击提示与成交结构说明 | 研究 | 高 |
| 证券监管 | 2026年3月23日量化踩踏案例（单日蒸发4.29万亿），风控需加强 | 选股引擎需增加量化冲击识别和极端行情风控 | 引入集中度与拥挤度指标，作为风控前置条件 | 研究 | 高 |
| 证券监管 | 上证周线级别中枢震荡，2026年核心区间3200-4000点 | 选股引擎需增加量化冲击识别和极端行情风控 | 震荡区间内降低趋势类因子权重 | 研究 | 中 |
| 程序化交易 | 程序化交易报告与异常交易监控要求细化 | 与量化资金相关的流动性与波动分析 | 在流动性评估中单独列示程序化交易影响 | 研究 | 中 |
| 信息披露 | 财务信息披露质量监管持续强化 | 财报异常检测、因子取数 | 因子取数须标注报告期与公告编号 | 研究 | 高 |
| 市值管理 | 上市公司市值管理行为披露要求趋严 | 涉及回购、增减持的个股筛选 | 筛选中单列股东行为事件标签 | 研究 | 中 |
| 业绩预告 | 业绩预告披露质量受关注 | 事件驱动类选股 | 使用预告数据时区分预告口径与实际口径 | 研究 | 高 |
| 投资者保护 | 投顾与荐股类内容传播边界收紧 | 选股结果对外输出 | 输出结果保留风险提示与免责声明 | 合规 | 高 |
| 程序化交易 | 2026年9月下旬：程序化交易报备与异常交易监控的执行细节进一步明确 | 高频与量化相关策略的流动性评估 | 冲击成本估算中单列程序化交易影响假设 | 研究 | 中 |
| 信息披露 | 2026年三季度：财务信

_meta.json

{
  "ownerId": "kn74e704j3ygjcygnpf02rdvd185js13",
  "slug": "security-stock-picker",
  "version": "3.0.3",
  "publishedAt": 1790751778743
}

skill-card.md

## Description:

Provides an educational framework for screening China A-share stocks using quantitative factors, fundamentals, technical signals, sector analysis, and portfolio construction.

This skill is ready for commercial/non-commercial use.

## Publisher:

[gechengling](https://clawhub.ai/user/gechengling)

### License/Terms of Use:

MIT-0

## Use Case:

Investors and analysts use this skill to develop and review educational A-share screening criteria, factor comparisons, risk checks, and illustrative portfolio allocations; it does not provide investment advice or place trades.

### Deployment Geography for Use:

Global (focused on China's A-share market)

## Known Risks and Mitigations:

Risk: Outdated or inaccurate market data, regulatory claims, or model outputs could mislead financial decisions.

Mitigation: Independently verify data, claims, and screening results before acting; treat outputs as educational, not investment advice.

Risk: Portfolio details could expose sensitive financial information.

Mitigation: Share only anonymized holdings weights or factor data; omit account identifiers and transaction records.

Risk: Illustrative code or portfolio suggestions could be mistaken for executable trading instructions.

Mitigation: Review parameters and outputs before using any examples in an external environment; do not automate trades from this skill.

## Reference(s):

- [Security Stock Picker on ClawHub](https://clawhub.ai/gechengling/skills/security-stock-picker)

## Skill Output:

**Output Type(s):** [Analysis, Guidance, Code]

**Output Format:** [Markdown with tables and illustrative code blocks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Educational screening and portfolio examples; no live data access or trade execution.]

## Skill Version(s):

3.0.3 (source: ClawHub release metadata and skill frontmatter)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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Machine-readable data

The same record, as JSON, for agents and crawlers.

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}

Record generated Oct 11, 2026.

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