advanced-math-trading/information-causal
CommunityInformation theory for causal signals.
Authorkeith-mvs
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill explores information theory, causal inference, and Bayesian conditioning for trading signals.
Core Features & Use Cases
- Mutual Information & Transfer Entropy: Feature relevance for signals
- Causal Validation: Granger-causality and DAG-based checks
- Bayesian Conditioning: Update beliefs with new data
Quick Start
Example: "Assess MI between price and a candidate indicator and perform a basic causal test."
Dependency Matrix
Required Modules
numpypandasscipy
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: advanced-math-trading/information-causal Download link: https://github.com/keith-mvs/ordinis/archive/main.zip#advanced-math-trading-information-causal Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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