quant

Community

Prediction markets & binary contracts.

Authoreliza420ai-beep
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides a comprehensive quantitative framework for understanding and simulating prediction markets and binary contracts, moving beyond simple price-as-probability assumptions.

Core Features & Use Cases

  • Probabilistic Modeling: Simulates binary contracts using Monte Carlo, importance sampling for rare events, and particle filters for real-time updates.
  • Correlation & Risk: Analyzes correlated outcomes using copulas and models market dynamics with agent-based simulations.
  • Use Case: Model the probability of a specific political outcome by simulating correlated state-level predictions using a t-copula, and then update these probabilities in real-time as new polling data becomes available using a particle filter.

Quick Start

Use the quant skill to simulate a binary contract for AAPL with a strike of $200.

Dependency Matrix

Required Modules

numpyscipypytest

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: quant
Download link: https://github.com/eliza420ai-beep/vince/archive/main.zip#quant

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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