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AtlasRepo

Miasyster/QuantGPT — Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant…

Description and use

Miasyster/QuantGPT is an open‑source, agent‑driven “alpha factory” that leverages large language models to autonomously generate, back‑test, and submit quantitative trading factors directly to the WorldQuant BRAIN platform. By integrating LLM reasoning with automated data pipelines and execution tools, the project streamlines the end‑to‑end workflow of factor research, validation, and deployment for algorithmic traders.

Problem

Miasyster/QuantGPT helps connect AI assistants to real tools and data through a standard protocol.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

  • connect AI agents to tools
  • ship Model Context Protocol servers
  • standardize integrations

Evidence

Agent-driven alpha factory — LLM autonomously designs, backtests, and submits factors to WorldQuant BRAIN

Source

  • Record date: 2026-09-13T11:36:59.868Z