Agent skill

advanced-math-trading/information-causal

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

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/advanced-math-tradinginformation-causal

SKILL.md

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.

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