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Paper

https://drive.google.com/file/d/1aNqsULT0u4qUXSLUyKMRX-vD7-IAyxww/view?usp=sharing

Tech Stack

Frontend

Vue.js Vite

Backend

FastAPI

Machine Learning

PyTorch TensorFlow HuggingFace

Running Locally

System Dependencies

  • Python ≥ 3.10 and ≤ 3.11
  • pip ≥ 22.x
  • Node.js ≥ 18.x
  • npm ≥ 9.x

Backend

# Navigate to backend directory
cd backend

# Install dependencies
pip install -r requirements.txt

# Run the FastAPI server
uvicorn main:app --reload --host localhost --port 8000 

Frontend

# Navigate to frontend directory
cd frontend

# Install dependencies
npm install

# Run the development server
npm run dev

About

A full-stack ML-powered stock analysis web app that combines a TFLite-based price action pattern (PAP) classifier with Gemini LLM news sentiment analysis to generate buy/sell trade signals with ATR-based stop-loss and take-profit levels, built with a FastAPI backend and Vue.js frontend.

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