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

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)

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