How do I install the Us Strategy Us Momo Swing Slow skill?

Run npx skillmds@latest add shouldnotappearcalm/us-strategy-us-momo-swing-slow in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Us Strategy Us Momo Swing Slow skill do?

美股动量轮动（Slow 版，持仓6只）。自动构建候选池，T+1 执行，严格无未来函数。 It is listed under Coding & Dev Tools on SkillMD.

Is Us Strategy Us Momo Swing Slow safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Us Strategy Us Momo Swing Slow?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Us Strategy Us Momo Swing Slow free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Us Strategy Us Momo Swing Slow?

shouldnotappearcalm (@shouldnotappearcalm) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Us Strategy Us Momo Swing Slow

Name: Us Strategy Us Momo Swing Slow
Author: shouldnotappearcalm

美股动量轮动（Slow 版，持仓6只）。自动构建候选池，T+1 执行，严格无未来函数。

shouldnotappearcalm Updated Sep 17, 2026

Coding & Dev Tools

Install

Press C to copy

$ npx skillmds@latest add shouldnotappearcalm/us-strategy-us-momo-swing-slow

Installs into ~/.claude/skills (or .claude/skills inside a project). Restart Claude Code to pick it up.

Download .zip

＋ Add to collection

README badge

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Trust & safety

Audits pending

Not yet audited · commit a7a6c88

Works with: Claude Code Claude.ai OpenAI Codex +

File contents

US Momo Swing Slow

能力

生成次日候选买入列表（默认 6 只）
回测验证 3m / 6m / 1y 收益与回撤
输出结构化 JSON，可直接给 paper-trading 下单层消费

策略参数（固定）

ma_fast=20
ma_slow=100
mom_lb=40
top_k=6
stop_loss=0.06
exposure=1.30
universe_keep=40

时序与防作弊约束

仅使用 t-1 日线收盘后可见数据生成信号
t 日执行（回测按 t 收益计入）
不读取买点后的任何未来数据用于当下决策
候选池来自自动榜单并集，不按主观板块挑票

运行

SKILL_DIR="/Users/yanyun/dev/git_repo/ai-stock/ai-stock-data-v2/hk-us-market-skill/us-strategy-us-momo-swing-slow"
python3 "$SKILL_DIR/scripts/backtest_validate.py" --asof 2026-05-10 --json
python3 "$SKILL_DIR/scripts/daily_decisions.py" --asof 2026-05-10 --json

shouldnotappearcalm/hk-us-market-skill/tree/main/us-strategy-us-momo-swing-slow commit a7a6c889b3

Frequently asked questions

npx skillmds@latest add shouldnotappearcalm/us-strategy-us-momo-swing-slow