LLM-Trading-Lab is a trading framework designed to execute equity trades and manage portfolios using large language models while adhering to strict investment constraints.
The system distinguishes itself by integrating an algorithmic trading auditor that logs the reasoning behind model-driven decisions for retrospective analysis. It also includes a quantitative research reporter that transforms experimental results into portable reports and weekly summaries for long-term archiving.
The framework covers several core functional areas, including automated risk management to enforce stop-loss actions and trade limits, as well as portfolio accounting to track daily holdings and transaction history. Additionally, it provides performance analytics to calculate risk-adjusted metrics and compare results against external market benchmarks.
