Recruitment of participants HangukQuant - QT203: Development of Robust Python Packages for Quantitative Trading

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QT203: Development of Robust Python Packages for Quantitative Trading​

Learn how to create your own Python modules and libraries for quant trading. On writing flexible, robust and extensible code that lasts the test of time. Work with exchange documentations, repositories - and build you a better one.

Course curriculum​

1. Lectures​

   1. DISCLAIMER
   2. Course Introduction
   3. Open–closed principle
   4. Application Programming Interfaces
   5. An API Request (yfinance)
   6. Raw Requests vs Python SDKs (hyperliquid)
   7. Deconstructing Repository Code (oanda)
   8. Open Source Wrappers and Concerns (ccxt)
   9. Wrappers on Wrappers on Wrappers
   10. Defining Enums and Repo Standards for Interface (downloadables)
   11. Defining the Datapoller API
   12. Fun with Decorators
   13. Parameter Augmentation (downloadables)
   14. API Implementation
   15. API Implementation (downloadables)
   16. No Dependency - Wrappers are Standalone SDKs
   17. Establishing a Websocket Connection
   18. Implementing an Asynchronous Websocket Manager (downloadables)
   19. Race Conditions and Asynchronous Locks
   20. Cleaning Up Socket Resources
   21. Error Handling and Reconnecting Sockets (downloadables)
   22. Abstracting out the Websocket Interface
   23. Binance Implementations; Managing Schema
   24. Design Choice for Websocket Client Architecture; Wrapping Up (downloadables)
       
       

       https://hangukquant.thinkific.com/courses/qt203

 

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