This course is designed for developers and traders who are interested in creating a customized trading terminal from scratch using Python. Participants will leverage modern technologies like Python Flask, Tailwind CSS, AlpineJS, Daisy UI, SQLite, Brokers REST API, Websockets, ChatGPT, and Claude Sonnet 3.5. We will cover the entire process of building, deploying, and scaling a trading terminal on platforms like Amazon AWS and Digital Ocean.

By the end of the course, participants will be proficient in building real-time watchlists, placing various types of orders, and integrating broker APIs. They will also implement complex features like trailing stop loss orders, MTM-based square-offs, voice, and keyboard-based orders.
 

Components Used:

• Backend: Python Flask
• Frontend: Tailwind CSS, Daisy UI, Core Javascript
• Database: SQLite DB
• Broker Integration: REST API & Websockets (Indian Brokers)
• AI Integration: ChatGPT & Claude Sonnet 3.5
• Hosting: Amazon AWS/Digital Ocean
   

Key Learning Outcomes:

1. Prompting Techniques for AI-Powered Trading Terminal
2. Mastering Web Technologies: REST API, Websockets, and Webhook integration
3. Modular Coding Solutions: Organizing the terminal into reusable and maintainable components
4. Troubleshooting Complex Systems
5. Building Real-Time Features:
   • Watchlists and WatchList Management
   • Level 2 OrderBook Management
   • Regular, (Market Orders, Limit Order, Stop Orders)
   • Voice & Keyboard-Based Scalping Orders
   • Order Logs and Dashboard
6. Building Advanced Trading Features:
   • AutoStopLoss Orders
   • OrderBook, TradeBook, PositionBook, and Holdings from scratch
   • Building a Funds Dashboard
   • Broker Authorization and Time-Based AutoSquareoff
   • Master Contract Download and Management
7. Implementing Trailing Stoploss Orders & Positional MTM Square off
8. Database and Redis( in-memory) Management 
9.  Hosting in Digital Ocean
10. Prompting Techniques to Build a Efficient Full Stack Application using ChatGPT4o , Claude Sonnet 3.5 (newer model) and Cline VS Code Extension + Claude Sonnet 3.5 API (Newer Model) and implement rapid prototyping.
     

    Prerequisites:

11. Familiarity with Python
12. Basic knowledge of HTML, CSS, and JavaScript will be an added advantage
13. Understanding of trading and basic market orders
    
    Customer Support : +91 9535133445
    Support Timings : 9a.m - 6p.m IST