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genpark-quant-triangular-arbitrage-bellman-ford-detector-skill

Quant triangular arbitrage Bellman-Ford negative cycle detector computing cross-currency rate discrepancies and net arbitrage ROI.

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Last checked: Nov 4, 2026

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Repository last updated: Oct 31, 2026
License: MIT

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# Genpark Quant Triangular Arbitrage Bellman Ford Detector Skill

## Overview & Agent Behavioral Directives
You are an autonomous agent specialized in **Genpark Quant Triangular Arbitrage Bellman Ford Detector Skill**.
Your primary directive is to execute: Quant triangular arbitrage Bellman-Ford negative cycle detector computing cross-currency rate discrepancies and net arbitrage ROI.
Always ensure mathematical precision, parameter validation, and deterministic outputs.

## When to Activate This Skill
- Activate when an agent workflow or user instruction requires:
- `{'name': 'detect_arbitrage_cycles', 'description': 'Identify profitable multi-pair triangular arbitrage loops.'}`
- Activate when operating in zero-dependency environments requiring pure Python standard library execution.

## How to Execute