Built a 10-agent pipeline for portfolio construction — macro, screener, 6 analysts, orchestrator, constructor — runs across 6 LLM providers

Reddit r/AI_Agents 05/11/26, 07:52 AM Tools

Summary

1rok is a TypeScript framework that enables running multi-agent portfolio construction pipelines across multiple LLM providers to benchmark their performance on financial tasks like stock selection and position sizing.

1rok is a TypeScript harness for running multi-agent portfolio construction pipelines. Built it to benchmark different LLMs on the same task with the same tools. Pipeline: 1. Macro agent reads FRED data, sets regime 2. Screener surfaces 25-30 candidates 3. Six analysts run in parallel (fundamental, valuation, technical, sentiment, catalyst, risk) 4. Orchestrator composites scores with weighted average 5. Constructor sizes positions within constraints 6. Executor places orders via Alpaca (paper by default) Each agent gets the same inline tool registry — listTools / callTool over local handlers. One registry per pipeline run, no transport layer between agent and tool. What's been interesting: the models don't disagree as much as I expected on stock selection. They disagree more on position sizing. Happy to go deep on any part of the architecture.

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