# Advanced Math Trading/information Causal

> Information theory (entropy/MI/TE) and causal inference for trading signals.

- Skill: `majiayu000/advanced-math-trading-information-causal` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds add majiayu000/advanced-math-trading-information-causal`
- Raw SKILL.md: https://api.skillmd.com/api/skills/majiayu000/advanced-math-trading-information-causal/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: majiayu000 (https://skillmd.com/u/majiayu000)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/majiayu000/advanced-math-trading-information-causal

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# What this covers
- MI/transfer entropy features, causal validation, Bayesian conditioning.

# Navigation (load on demand)
- docs/knowledge-base/domains/foundations/advanced-mathematics/information-theory.md
- docs/knowledge-base/domains/foundations/advanced-mathematics/causal-inference.md
- docs/knowledge-base/domains/foundations/advanced-mathematics/conditional-probability-and-bayes-theorem.md

# Quick workflows
- Feature relevance → MI/TE from information-theory.
- Causal checks (Granger/DAGs/potential outcomes) → causal-inference.
- Bayesian updates → conditional-probability-and-bayes-theorem.

# Notes
- Keep context to the specific technique needed.