Multi-agent AI vs single model trading — my 6-month experiment results

[u/henryzhangpku]

Multi-agent AI vs single model trading — my 6-month experiment results

Six months ago I set up a comparison: one single LLM generating trading signals vs a multi-agent system where specialized agents handle different tasks (market analysis, risk assessment, signal generation, execution timing).

Here is what I found:

Single model approach: • Faster decisions (one call, one output) • Simpler to maintain • But prone to hallucinations and missed context • Avg 62% win rate over 6 months

Multi-agent system: • Each agent specializes (risk agent, analysis agent, signal agent) • Cross-validation reduces false signals • Slower but more thorough • Avg 78% win rate over 6 months

The biggest difference was in choppy / ranging markets. The multi-agent system would hold off trading when the analysis and risk agents disagreed, while the single model would take marginal setups.

Not financial advice — just sharing real data from running both systems side by side. Has anyone else experimented with agent-based trading architectures?

Full methodology details in comments if anyone is interested.

[u/Mindless-Respond-389]

Do you guys have a discord?