yebof/quant-agent

LLM multi-agent quantitative trading system for US equities. 9 specialized agents (8 daily + 1 quarterly meta-reflector) with schema-enforced reasoning chains, deterministic Python risk filters, real Alpaca integration, and quarterly self-evolution under a 10-invariant safety system.

GitHub repository with 5 stars and 0 forks.

Language: Python

Topics: algorithmic-trading, alpaca, anthropic, llm-agents, multi-agent-systems, openai, python, quant-trading, trading-bot, vibe-coding

Open provider repository

24h trend summary

Trending score 0.07, freshness score 0.32, stars gained +0, forks gained +0.

Latest metric snapshot

2026-06-15: 5 stars and 0 forks.

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