Install
$ agentstack add skill-feicoder-skill-factory-quant-stock-selection-intro ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
量化选股入门
什么是量化选股
量化选股是利用数量化的方法选择股票组合,期望该股票组合能够获得超越基准收益率的投资行为。
量化选股策略可以分为两类:
- 基本面选股 - 基于公司财务、估值等指标
- 市场行为选股 - 基于资金流向、价格走势等市场数据
量化选股的优势
- 系统性:能够处理大量股票,覆盖面广
- 客观性:避免人为情绪干扰
- 可验证性:策略可以基于历史数据进行回测验证
- 纪律性:严格执行预先设定的交易规则
量化选股主要策略
| 策略类型 | 说明 | |----------|------| | 多因子模型 | 综合多个因子进行选股 | | 风格轮动 | 根据市场风格切换进行选股 | | 行业轮动 | 根据行业轮动规律选股 | | 资金流模型 | 根据资金流向选股 | | 动量反转 | 根据历史涨跌规律选股 | | 一致预期 | 根据分析师预期选股 | | 趋势追踪 | 根据价格趋势选股 | | 筹码选股 | 根据筹码分布选股 |
业绩评价指标
量化选股需要从两个方面评价:
- 收益率指标 - 年化收益率、超额收益率等
- 风险度指标 - 最大回撤、波动率、夏普比率等
A股市场特点
- 个人投资者较多,市场情绪影响大
- 存在明显的风格轮动和行业轮动效应
- 资金流信息相对有效
- 小盘股效应明显
使用指南
当需要:
- 理解量化选股的基本框架
- 选择合适的选股策略类型
- 设计量化选股系统架构
- 评估选股策略效果
请使用此 skill 获取指导。
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: FeiCoder
- Source: FeiCoder/Skill-Factory
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.