Institute of Advanced Investment ManagementAI agents
Do LLM “Crowds” Produce Investment Signals? An Empirical Test
Read more →: Do LLM “Crowds” Produce Investment Signals? An Empirical TestSteven Edwards This paper tests whether aggregating stock selections from a large, philosophically diverse ensemble of LLM personas can produce genuine investment signals beyond passive benchmark exposure. The author built 100 distinct investor pe rsonas spanning value, momentum, growth, ESG, quantitative, and contrarian philosophies, each independently selecting fifty US-listed equities. The picks were backtested across…
Testing an AI-Assisted Research Workflow for Multi-Asset Pullback Strategy Discovery
Read more →: Testing an AI-Assisted Research Workflow for Multi-Asset Pullback Strategy DiscoveryThis study builds a short-term mean-reversion strategy across six liquid ETFs spanning equities, fixed income, currencies, gold, and commodities (2006–2025), using a 200-day trend filter and a multi-day pullback trigger. Beyond the strategy itself — which delivers strong risk-adjusted returns while invested only ~21% of the time — the paper tests ChatGPT and Claude as…
Guardrails Make the Researcher: What an AI Agent Got Right (And Wrong) Replicating Nine Equity Anomalies
Read more →: Guardrails Make the Researcher: What an AI Agent Got Right (And Wrong) Replicating Nine Equity AnomaliesAn autonomous AI research agent was tasked with replicating nine published U.S. equity anomalies on clean, survivorship-free data. On a faithful build, none survive out-of-sample — and the lone apparent survivor turned out to be the agent’s own construction error. The real lesson is that an AI researcher is only as trustworthy as the guardrails…