Introduction

This app is an AI stock market prediction app built with Sveltekit, Python, TensorFlow, FastAPI, TailwindCSS, and DaisyUI. It uses a machine learning model to predict stock prices and display them on the frontend. This app is a work in progress and is not yet ready for production use.

Features

• Detailed price dynamic price charts and performance metrics.
• Company data, news, videos, and more.
• Context-aware AI insights and sentiment analysis.
• Options chain
  

Detailed views of stock prices, company data, news, videos, and more.

Context-aware AI insights and sentiment analysis

Getting Started

Frontend

# Clone the repository
git clone https://github.com/engageintellect/ai-stock-client.git

# Install dependencies and run the app
cd ai-stock-client && pnpm i && pnpm run dev

Backend

# Clone the repository
git clone https://github.com/engageintellect/ai-stock-server.git

Create a virtual environment

python3 -m venv venv

Activate the virtual environment

source venv/bin/activate

Install dependencies

pip3 install -r requirements.txt

Run the app

python3 main.py