Autonomous Strategy Generation From Stock Universe

via “autonomous-strategy-generation-from-stock-universe”

Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.

Unique: Uses a multi-stage agentic pipeline (data ingestion → feature engineering → regime detection → LLM-driven strategy formulation → backtesting) orchestrated by LangGraph, eliminating the traditional weeks-long quantitative research cycle by automating all intermediate steps and feeding structured feature matrices directly into LLM prompts for strategy generation.