#7878th of 88 in Learning and cookbooksFor finance and business, trading, stocks and crypto, finance and accounting
llm-trading-lab
Logs of a live ChatGPT-managed micro-cap stock portfolio, with analysis scripts
- Stars
- 7.6k
- License
- no license
- Last commit
- Jun 2026
- Language
- Python
7,315 on 20 Apr 20267,550 on 9 Nov 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A research repository recording a six-month, real-money experiment in which ChatGPT picked micro-cap stocks under fixed rules, starting from $100. It contains a Python trading script, daily CSV accounting, automated stop-loss enforcement, comparisons against the S&P 500 and Russell 2000, and a 40-page PDF evaluation. It documents one experiment rather than a general framework; the author points to a separate project, LIBB, for new experiments.
Who it is for: Researchers studying LLM trading behavior and readers of the results
Strengths
- Trade logs, chat transcripts and weekly research files are kept for audit
- Includes CAPM, Sharpe, Sortino and drawdown analytics against S&P 500 and Russell 2000
- Small Python stack: pandas, yfinance with Stooq fallback, Matplotlib
Weaknesses
- No license, so reuse terms are unclear
- Single experiment with one model (ChatGPT) and a $100 starting portfolio
- Reusable framework work lives in a separate repository (LIBB)
- No release and no run instructions in the README
What it needs
- no GPU
- Needs Python 3.11+, pandas, yfinance, Stooq, Matplotlib
- Models: ChatGPT
Quick answers
Is llm-trading-lab open source?
Its code is public on GitHub, but the repository has no license, so by default nobody may reuse it.
Does llm-trading-lab need a GPU?
No, it runs without one.
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