Nash Satoshi

Overview

Nash Satoshi applies game theory frameworks to cryptocurrency market analysis using a novel 4-LLM ensemble approach. Four different large language models independently analyze the same market data, and their outputs are cross-validated to produce high-confidence consensus rankings and contrarian signals.

Problem

Single-model AI analysis of crypto markets suffers from individual model biases and hallucination risks. Traders need higher-confidence signals that account for the inherent uncertainty in market analysis, not just another single-perspective prediction tool.

Approach

Each analysis query is sent simultaneously to Claude, GPT-4, Gemini, and Grok. Each model independently applies game theory frameworks (Nash equilibrium analysis, prisoner's dilemma modeling, mechanism design evaluation) to the same market data. A consensus engine then cross-validates outputs, flagging agreements as high-confidence signals and disagreements as areas requiring human analysis.

Tech Stack

Results

Platform operational with 4-LLM ensemble producing consensus rankings. Cross-validation approach significantly reduces single-model bias in market analysis outputs.