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Longbridge Quant

Category: Science & Research  ·  Sub-category: math-stats  ·  Last updated:
type:integration
Quantitative strategy frameworks: pairs trading/cointegration, volatility regime strategies, seasonality/calendar effects, multi-factor models (IC/IR), factor research and screening, correlation analysis, statistical methods (ADF/GARCH), strategy optimization, execution modeling, hedging, and ML-based prediction (sklearn). Also provides CLI access to run indicator scripts against K-line data. Triggers: "量化", "因子", "配对交易", "协整", "波动率策略", "季节性", "多因子", "IC", "机器学习", "对冲", "量化策略", "協整", "波動率策略", "季節性", "多因子", "對沖", "quant", "pairs trading", "cointegration", "volatility strategy", "seasonality", "multi-factor", "factor model", "IC IR", "machine learning", "hedging", "walk-forward", "配對交易", "機器學習", "因子選股"

About this skill (catalog notes)

Longbridge Quant includes pricing or quota commentary; at least one code block. The SKILL.md is on the shorter side at about 559 words.

Source
open.longbridge.com/skill
License
MIT
Original author
longbridge
Indexed lastmod
Catalog position
Science & Research · math-stats
Indexed related skills
10

How Longbridge Quant fits the catalog

Longbridge Quant sits in the Science & Research category under the math-stats sub-topic in the ClaudSkills catalog. There are 10 related skills indexed alongside it; comparing a few before installing usually reveals which fits your workflow best.

These notes are auto-generated from features detected in the SKILL.md file and from this catalog's structure — they aren't part of the source repository.

From the source SKILL.md

Quantitative analysis frameworks and CLI indicator scripting via Longbridge.

What this skill does

Longbridge Quant is a community-contributed Claude Code skill in the math-stats sub-category. It ships as a SKILL.md file that Claude Code auto-discovers under ~/.claude/skills/longbridge-quant/ and loads when your prompt matches the skill's trigger.

Who uses this skill

The Longbridge Quant Claude Code skill is built for researchers, data scientists, academics, and analysts working with complex data and scientific literature. It's part of ClaudSkills (also referred to as Claude Skills or Claude Code Skills) — the open community-curated registry of 119,000+ SKILL.md files for Anthropic's Claude Code agent and the wider Claude ecosystem (Claude API, Claude Agent SDK).

How to install

Free

Manual install (2 steps)

mkdir -p ~/.claude/skills/longbridge-quant
curl -L https://claudskills.com/skills/longbridge-quant/SKILL.md \
  -o ~/.claude/skills/longbridge-quant/SKILL.md

Or just download SKILL.md directly and drop it into ~/.claude/skills/longbridge-quant/. Claude Code auto-discovers it on next session.

Skills live at ~/.claude/skills/longbridge-quant/SKILL.md on macOS/Linux, or %USERPROFILE%\.claude\skills\longbridge-quant\SKILL.md on Windows. See the full install guide for step-by-step instructions.

Telegram

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Open @claudskills_bot on Telegram, tap Open Desktop App, and the desktop app installs this skill for you. Or share the bot link with a colleague — they get the same one-tap install. Learn more →

Pro

One-click install via the desktop app

The ClaudSkills desktop app installs any skill directly into ~/.claude/skills/ with one click — no terminal required. Pro starts at $9/mo or $149 lifetime.

Pro

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See pricing → Download desktop app

Frequently asked questions

How do I install the Longbridge Quant Claude Code skill?
Install via the ClaudSkills desktop app (one click) or copy SKILL.md from the source repository to ~/.claude/skills/longbridge-quant/SKILL.md and restart Claude Code. Both flows are detailed at claudskills.com/install/.
What does the Longbridge Quant skill do?
Quantitative strategy frameworks: pairs trading/cointegration, volatility regime strategies, seasonality/calendar effects, multi-factor models (IC/IR), factor research and screening, correlation analysis, statistical methods (ADF/GARCH), strategy optimization, execution modeling, hedging, and ML-based prediction (sklearn). Also provides CLI access to run indicator scripts against K-line data. Triggers: "量化", "因子", "配对交易", "协整", "波动率策略", "季节性", "多因子", "IC", "机器学习", "对冲", "量化策略", "協整", "波動率策略", "季節性", "多因子", "對沖", "quant", "pairs trading", "cointegration", "volatility strategy", "seasonality", "multi-factor", "factor model", "IC IR", "machine learning", "hedging", "walk-forward", "配對交易", "機器學習", "因子選股"
Is this skill free to install?
Yes. ClaudSkills is an open registry — every skill keeps its source repository's license, and manual install via copy is free. ClaudSkills Pro ($9/mo, $79/yr, or $149 one-time) adds one-click install via the desktop app and a multi-signal Quality Score.
When should I use the Longbridge Quant skill?
Use Longbridge Quant when your Claude Code task falls under the Science & Research category — specifically in the math stats area. Claude Code auto-discovers installed skills and invokes the right one based on the task description, so you can also ask Claude directly (e.g. "use Longbridge Quant" or describe the task and let Claude pick). Browse related skills at /category/science/.
What is a Claude Code skill and how does the Longbridge Quant skill fit in?
A Claude Code skill is a SKILL.md file that lives under ~/.claude/skills/<name>/ and tells the Claude Code CLI agent how to perform a specific task (instructions, prompts, allowed tools). Skills are auto-discovered at session start. Longbridge Quant is one of 67,000+ skills indexed in the open ClaudSkills catalog, classified under the Science & Research category. Learn more at /learn/what-is-a-claude-skill/.

Attribution & license

Cite this skill

If you reference this skill in a blog post, paper, or documentation, you can cite it as:

APA
longbridge. (2026). Longbridge Quant [Claude Code skill]. ClaudSkills. https://claudskills.com/skills/longbridge-quant/
BibTeX
@misc{longbridge-quant-2026,
  author    = {longbridge},
  title     = {Longbridge Quant [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/longbridge-quant/}
}

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