Architect Trade Execution System with Chatgpt, DeepSeekR1 & ClaudeAI wihtout Techincal Knowledge

This video shows -

1. Capabilities of AI LLMs like ChatGpt, DeepSeekR1 & ClaudeAI to design any system in few seconds

2. How to compare/utilize the responses from all tools to make more optimized and informed decision for system design

3. High/Low level design with all availabel tools/technology

4. Layers/Services/Components level flow as well as how are they interact with each other

5. Shared non-Functional features and aspects like

   5.1 Security Considerations

   5.2 Scalability Considerations

   5.3 Infrastructure Related Strategy

   5.4 Regulations Adherence

6. Detailed System Design 

   6.1 Client Layer

   6.2 Trading Application Layer

   6.3 Exchange Layer

   6.4 Post-Trade Layer

7. High level workflows

   7.1  Order Placement

   7.2  Order Validation

   7.3  Order Routing

   7.4  Order Matching:

   7.5  Trade Confirmation:

   7.6  Market Data Processing:

   7.7  Risk Management:

   7.8  Analytics & Reporting:

   7.9  Logging & Monitoring:

8. How each component will interact & which technology to be used

   8.1  User Interface (UI)

   8.2  Order Management System (OMS)

   8.3  Risk Management

   8.4  Exchange Gateway

   8.5  Relational Database

   8.6  NoSQL Database

   8.7  Stream Processing Platform

   8.8  Market Data Feed

   8.9  Analytics & Reporting

   8.10 Logging & Monitoring

https://www.youtube.com/watch?v=ARpO4FXhAxo