AI Trading Assistant for Day and Swing Traders – Analyze Market Trends, Predict Movements, and Make Smarter Investment Decisions

This project is designed for day and swing traders. Our AI agent leverages powerful tools like market prediction, trend analysis, and news sentiment evaluation to help you make informed investment decisions and know when to enter or exit the market.

🚀 Getting Started 1️⃣ Clone the repo

git clone https://github.com/Open-Source-Chandigarh/tradeGPT.git
cd tradeGPT

1️⃣ You will need an ai (either you can run locally on docker or use openai_api_key)

How to install locally on docker

I am using gemma-3 run these cmd's in your terminal

docker model pull ai/gemma3

docker model pull ai/embeddinggemma

2️⃣ go to books/code

copy .env.example to .env populate qdrant api keys and url from qdrant cloud

npm i
node generateEmbeddings

3️⃣ go to /pythonModel

uvicorn api:app --reload

4️⃣ go to tradefront copy .env.example to .env and populate all .env fields if you are using local model then leave openai_api_key empty

run

npm i

then

npm run dev

Go to 👉 http://localhost:3000

You can start editing by modifying app/page.tsx.

The page auto-updates when you save changes.

✨ Features

⚡ Built with Next.js 15

🎨 Uses next/font with Geist font family

🔥 Hot Reloading

☁️ Easy deploy on Vercel

📦 Open for Hacktoberfest contributions

🤝 Contributing (Hacktoberfest Guidelines)

We welcome all contributions! 🎉

Fork the repo 🍴

Create your feature branch:

git checkout -b feature/your-feature

Commit your changes:

git commit -m "Added: your feature"

Push to the branch:

git push origin feature/your-feature

Open a Pull Request 🚀

📌 Make sure your PR is meaningful (bug fixes, features, docs improvements). Spam PRs will be rejected ❌.

📚 Learn More

Next.js Documentation

Learn Next.js – Interactive Tutorial

Hacktoberfest Official Site

☁️ Deployment

The easiest way to deploy is with Vercel (creators of Next.js). Just connect your GitHub repo and deploy in one click!

🧑‍💻 Contributors

Thanks to all contributors who make this project better ❤️