Monkey vs GPT: Stock Trading Showdown

Overview

This project is an experiment that pits a ChatGPT-powered AI trader against a "monkey" trader (simulating random stock picks) in a virtual stock market (using real market news and data). The goal is to compare the performance of AI-driven trading strategies against random selection over time.

Features

Real-time stock market data integration
AI-powered trading decisions using ChatGPT
Random stock selection for the "monkey" trader
Automated trading simulation
Performance tracking and visualization
Web interface to view results and trading history

Tech Stack

Frontend: Next.js, React, TypeScript, Tailwind CSS
Backend: Python (AWS Lambda)
Database: AWS DynamoDB
Deployment: Vercel (frontend), AWS SAM (backend)
APIs: OpenAI API, Yahoo Finance API

Getting Started

Prerequisites

Node.js (v14 or later)
Python 3.9
AWS CLI
SAM CLI

Installation

Clone the repository:

git clone https://github.com/belkacemb/monkey-vs-gpt.git
cd monkey-vs-gpt

Install frontend dependencies:
```
cd app
npm install
```

Set up backend:

cd ../functions/daily-trade
pip install -r requirements.txt

Set up environment variables:

Create a .env.local file in the app directory with the following variables:

NEXT_PUBLIC_BASE_URL=http://localhost:3000
AWS_DB_REGION=your-aws-region
AWS_DB_ACCESS_KEY=your-aws-access-key
AWS_DB_ACCESS_SECRET=your-aws-secret-key

Create an env.json file in the functions/daily-trade directory with:

{
  "DailyTradeFunction": {
    "OPENAI_API_KEY": "your-openai-api-key",
    "TRADING_TABLE_NAME": "TradingTable"
  }
}

Running the Project

Start the frontend:
```
cd app
npm run dev
```

Deploy the backend:

cd functions/daily-trade
sam build
sam deploy --guided

Visit http://localhost:3000 to view the application.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is open source and available under the MIT License.

BelkacemB/monkey-vs-gpt