Starlight

India's First Gamified Virtual Trading Platform


Client Server · Backend Server · Socket Server

Table of Contents

• About the Project

  • Real-time Interactive Graphs
  • Stock metrics
  • Pros & Cons
  • Compete with friends
  • Interactive Portfolio

• Getting Started

  • Prerequisites
  • Installation

• Product Screenshots

• Roadmap

• Contributing

• Contact

About The Project

Starlight is a gamified virtual trading platform where traders can learn about stock trading, analyze their decisions and compete with their friends without the fear of losing actual money.

These are the features that we currently provide.

📈 Real-time stock prices (60 second delay)

🤓 Stock metrics

☯️ Individual stock pros & cons

👩‍👩‍👦‍👦 Compete with friends

🥇 Climb the leaderboard

📒 Interaactive Portfolio

📰 Financial news with sentiment scores

🔍 Auto Complete & Auto Correct Search

Real-time Interactive Graphs

We provide real-time interactive plots for prices which makes analyzing trends easier and hasslefree.

Stock metrics

Learn about metrics like Market Capitalization, Price to Book Ratio, Dividend Yield and much more

Pros & Cons

Get to know why investing in a stock might be a good/bad idea

Compete with friends

Compete with your friends and rule the leaderboard

Interactive Portfolio

Keep a track of your trades, best & worst decisions

Built With

Getting Started

To get a local copy up and running follow these simple example steps.

Prerequisites

• Python 3.8+
• FastAPI
• PostgreSQL
• Docker
• Redis

Installation

Fast API

1. Clone the repo

git clone https://github.com/rezonance-india/engine-api

2. Create a Python 3 virtual environment (inside ai directory)

cd engine-api
python3 -m venv venv
source venv/bin/activate

3. Install requirements

pip install -r requirements.txt

4. Export Python Path

export PYTHONPATH=src

5. Start Redis Server

redis-server /usr/local/etc/redis.conf

6. Start Uvicorn server

uvicorn src.main:app

Flowchart

Product Screenshots

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

Contact

Arijit Roy - GitHub - roy.arijit2001@gmail.com

Kartik Goel - GitHub - goel.kartik39@gmail.com

Boidushya Bhattacharaya - GitHub - boidushyabhattacharya@gmail.com