ChatGPT Micro-Cap Experiment

Welcome to the repo behind my 6-month live trading experiment where ChatGPT manages a real-money micro-cap portfolio.

Overview on getting started: Here

Repository Structure

trading_script.py - Main trading engine with portfolio management and stop-loss automation
Scripts and CSV Files/ - My personal portfolio (updates every trading day)
Start Your Own/ - Template files and guide for starting your own experiment
Weekly Deep Research (MD|PDF)/ - Research summaries and performance reports
Experiment Details/ - Documentation, methodology, prompts, and Q&A

The Concept

Every day, I kept seeing the same ad about having some A.I. pick undervalued stocks. It was obvious it was trying to get me to subscribe to some garbage, so I just rolled my eyes.
Then I started wondering, "How well would that actually work?"

So, starting with just $100, I wanted to answer a simple but powerful question:

Can powerful large language models like ChatGPT actually generate alpha (or at least make smart trading decisions) using real-time data?

Each trading day:

I provide it trading data on the stocks in its portfolio.
Strict stop-loss rules apply.
Every week I allow it to use deep research to reevaluate its account.
I track and publish performance data weekly on my blog: Here

Research & Documentation

Current Performance

Current Portfolio Results

Current Status: Portfolio is outperforming the S&P 500 benchmark

Performance data is updated after each trading day. See the CSV files in Scripts and CSV Files/ for detailed daily tracking.

Features of This Repo

Live trading scripts — used to evaluate prices and update holdings daily
LLM-powered decision engine — ChatGPT picks the trades
Performance tracking — CSVs with daily PnL, total equity, and trade history
Visualization tools — Matplotlib graphs comparing ChatGPT vs. Index
Logs & trade data — auto-saved logs for transparency

Want to Contribute?

Contributions are very welcome! This project is community-oriented, and your help is invaluable.

Issues: If you notice a bug or have an idea for improvement, please.
Pull Requests: Feel free to submit a PR — I usually review within a few days.
Collaboration: High-value contributors may be invited as maintainers/admins to help shape the project’s future.

Whether it’s fixing a typo, adding features, or discussing new ideas, all contributions are appreciated!

Why This Matters

AI is being hyped across every industry, but can it really manage money without guidance?

This project is an attempt to find out — with transparency, data, and a real budget.

Tech Stack & Features

Core Technologies

Python - Core scripting and automation
pandas + yFinance - Market data fetching and analysis
Matplotlib - Performance visualization and charting
ChatGPT-4 - AI-powered trading decision engine

Key Features

Robust Data Sources - Yahoo Finance primary, Stooq fallback for reliability
Automated Stop-Loss - Automatic position management with configurable stop-losses
Interactive Trading - Market-on-Open (MOO) and limit order support
Backtesting Support - ASOF_DATE override for historical analysis
Performance Analytics - CAPM analysis, Sharpe/Sortino ratios, drawdown metrics
Trade Logging - Complete transparency with detailed execution logs

System Requirements

Python 3.11+
Internet connection for market data
~10MB storage for CSV data files

Follow Along

The experiment runs from June 2025 to December 2025.
Every trading day I will update the portfolio CSV file.
If you feel inspired to do something similar, feel free to use this as a blueprint.

Updates are posted weekly on my blog, more coming soon!

Blog: A.I Controls Stock Account

Have feature requests or any advice?

Please reach out here: nathanbsmith.business@gmail.com

LuckyOne7777/ChatGPT-Micro-Cap-Experiment