The AI Agents
Convexa operates via three distinct AI instances running on specialized Gensyn AXL nodes. Each agent executes a Python-based reasoning loop, polling the Orchestrator for current market state and emitting signed arguments back to the consensus engine.
Bull Agent
The Bull Agent is configured with an aggressive, momentum-seeking prompt strategy (`bull_agent.py`). It specifically weights breakout patterns, positive funding rates, and high accumulation volume heavily in its context window.
> Analyzing order block accumulation...
> Generating long thesis...
Bear Agent
Operating as the strict adversary, the Bear Agent (`bear_agent.py`) is designed to scrutinize the Bull's blind spots. It actively queries for bearish divergences, overbought RSI conditions, and macroeconomic risk factors.
> Calculating downside risk vector...
> Emitting short thesis...
The Judge
The Judge (`judge_agent.py`) is the consensus mechanism. It receives the signed JSON arguments from both the Bull and Bear. It evaluates the logical consistency, data accuracy, and persuasive weight of each argument to compute a final Conviction Score (0-100).
> Cross-referencing Bear counterpoints...
> Verdict: Bull wins (Score: 68)...