LLMQuant Equity Derivatives

LLMQuant Equity Derivatives is an AI Engineering 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 Equity Derivatives

Copy LLMQuant Equity Derivatives 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-equity-derivatives ~/.claude/skills/llmquant-equity-derivatives

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-equity-derivatives/SKILL.md in LLMQuant/skills
Installs to: ~/.claude/skills/llmquant-equity-derivatives
Collection: One of 18 skills cataloged from this repository
Category: AI Engineering — 2970 skills

What LLMQuant Equity Derivatives does

LLMQuant Equity Derivatives routes analyses for single-stock derivatives and hybrid securities. Use it for payoff, Greeks, convertibles, warrants, borrow, volatility, and catalyst-aware trade or valuation workflows.

LLMQuant Equity Derivatives is cataloged under AI Engineering on DirSkills. LLMQuant Equity Derivatives comes from a repository tagged agent-skills, ai-agents, claude-code, codex and cursor.

Documentation

README

Excerpt

LLMQuant Equity Derivatives

This category routes single-stock derivative and hybrid security workflows. It covers payoff, optionality, dilution, borrow, volatility, and catalyst alignment.

Routing Rules

Identify the underlying ticker, derivative type, maturity, strike/conversion terms, and objective.
Select the closest workflow below.
Open only that workflow and any relevant local resources.
Use LLMQuant Data for underlying prices, option chains, volatility, borrow, corporate actions, convertibles, and warrants.
Report contract terms, valuation dates, assumptions, stale notices, and missing inputs.

Workflow Index

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

Frequently asked about LLMQuant Equity Derivatives

What else does LLMQuant publish alongside LLMQuant Equity Derivatives?
LLMQuant Equity Derivatives 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 Equity Derivatives 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 Equity Derivatives compare to other AI Engineering skills?
LLMQuant Equity Derivatives ranks #2714 by stars among the 2970 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. 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 Equity Derivatives against them. Open each page to compare what they document and how they install.