LLMQuant Portfolio Lab

LLMQuant Portfolio Lab is a Data skill for Claude Code, published by LLMQuant in skills.

209 stars27 forkson LLMQuant/skillsAdded 2026/09/04Repository updated 2026/05/30

agent-skillsai-agentsclaude-codecodexcursorequity-researchetffinancial-datainvestment-researchllmllm-toolsmacroeconomicsmcpmodel-context-protocolopen-sourceoptions-tradingportfolio-managementquantitative-financerisk-management

Install in seconds

Install LLMQuant Portfolio Lab

Copy LLMQuant Portfolio Lab into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/LLMQuant/skills/tree/master/skills/llmquant-portfolio-lab ~/.claude/skills/llmquant-portfolio-lab

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/LLMQuant/skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/llmquant-portfolio-lab/SKILL.md in LLMQuant/skills
Installs to: ~/.claude/skills/llmquant-portfolio-lab
Collection: One of 18 skills cataloged from this repository
Category: Data — 729 skills

What LLMQuant Portfolio Lab does

LLMQuant Portfolio Lab routes portfolio virtualization workflows like exposure maps and what-if simulations. Use it when you need scenario states, hedge analysis, or comparisons between current and hypothetical portfolios.

LLMQuant Portfolio Lab is cataloged under Data on DirSkills. LLMQuant Portfolio Lab comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

Excerpt

LLMQuant Portfolio Lab

This category routes portfolio virtualization workflows: exposure maps, scenario states, and what-if simulations for real or hypothetical portfolios.

Routing Rules

Identify portfolio ID, holdings list, benchmark, scenario, and requested visualization/output.
Select the closest workflow below.
Open only that workflow and relevant local assets/scripts.
Use LLMQuant Data for positions, prices, ETF look-through, factors, scenarios, and risk model outputs.
Report as-of dates, model dates, benchmark, missing holdings, and unsupported asset types.

Workflow Index

This is the opening of the README. Read the full README on GitHub.

Frequently asked about LLMQuant Portfolio Lab

What else does LLMQuant publish alongside LLMQuant Portfolio Lab?
LLMQuant Portfolio Lab is one of 18 skills that DirSkills catalogs from LLMQuant/skills, the repository it ships in. Its siblings there include LLMQuant Commodities, LLMQuant Credit and LLMQuant Crypto. Each one is a separate skill with its own page in this directory, installs the same way LLMQuant Portfolio Lab does, and is maintained by LLMQuant in that same repository. The rest of the collection is listed on the LLMQuant/skills page.
How does LLMQuant Portfolio Lab compare to other Data skills?
LLMQuant Portfolio Lab ranks #673 by stars among the 729 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of LLMQuant Portfolio Lab against them. Open each page to compare what they document and how they install.