Can Blindfolded LLMs Still Trade? An Anonymization-First Framework for Portfolio Optimization

ArXi:2603.17692v1 Announce Type: new For LLM trading agents to be genuinely trustworthy, they must nstrate understanding of market dynamics rather than exploitation of memorized ticker associations. Building responsible multi-agent systems demands rigorous signal validation: proving that predictions reflect legitimate patterns, not pre-trained recall. We address two sources of spurious performance: memorization bias from ticker-specific pre-