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betting-analysis

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Monte Carlo betting with Kelly-optimal bets.

Data & Analytics#betting#monte-carlo#odds#kelly-criterion#bankroll#simulations
Authorncsound919
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill provides a reproducible framework to evaluate sports bets by fetching odds, running Monte Carlo simulations, and delivering a Kelly-optimal recommendation, saving time and reducing emotional bias.

Core Features & Use Cases

  • Odds retrieval: fetch current odds for the specified sport to establish input data.
  • Monte Carlo Simulation: run simulations with configurable bankroll and iterations to estimate expected value and risk.
  • Kelly Criterion: compute optimal stake per bet using the Kelly formula and implied probabilities.
  • Use Case: a bettor wants to compare multiple bets across games and obtain a recommended bet size and expected value.

Quick Start

Ask the skill to fetch odds for NBA, run a Monte Carlo with bankroll 1000 and 5000 simulations, and return a Kelly-optimal recommendation.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 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: betting-analysis
Download link: https://github.com/ncsound919/deterministic-brain/archive/main.zip#betting-analysis

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