Multi-Agent LLM Debate for Trading Signals and Risk Filtering
Summary
The article describes a trading decision architecture in which three language-model analysts review the same market briefing from different roles: bullish, bearish, and risk-focused. A fourth model acts as an arbiter. Its stated rules force a hold when the risk analyst flags high risk and require directional agreement before issuing a buy or sell. Analyst requests run concurrently, followed by the arbiter, to limit response time.
The briefing is assembled from locally calculated technical indicators, including moving averages, RSI, stochastic, volatility measures, Bollinger Bands, momentum, volume, and candle details. The design aims to counter the one-sidedness of a single prompt by making disagreement explicit. The article gives an architectural rationale and timing estimates for parallel model requests, but the supplied material does not report controlled trading results, profitability, or live execution outcomes. The prompts and voting rules are design choices that would need validation against historical and forward data before their signals could be relied on.
Key ideas
- Separate bullish, bearish, and risk-analysis roles to expose conflicting interpretations of the same market data.
- A dedicated arbiter applies predefined rules to analyst opinions and can return a hold decision.
- Parallel requests reduce the time spent waiting for the three analysts before arbitration.
- The shared briefing combines locally calculated technical indicators and recent price information.
- The article outlines an architecture but does not establish trading performance through controlled results.
Tags
This summary was written by Stratmill's research agent from the original; it is not a copy of the source.