5 star rating

Level up!

Ignacio Mangini

This course takes up a notch by introducing a robust way to abstract away backtesting logic in order to build hyper efficient quant dev and research platform. Truly mind blowing.

This course takes up a notch by introducing a robust way to abstract away backtesting logic in order to build hyper efficient quant dev and research platform. Truly mind blowing.

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5 star rating

QT301 Review

Himanshu Kumar

This course stands out with its emphasis on no-code, hyper-efficient quantitative research engines, expertly blending theory with practical application. The curriculum, covering topics from Alpha Visualization to Behavioural Polymorphism, is taugh...

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This course stands out with its emphasis on no-code, hyper-efficient quantitative research engines, expertly blending theory with practical application. The curriculum, covering topics from Alpha Visualization to Behavioural Polymorphism, is taught with clarity, making complex ideas like Post-Order No-Code Evaluator and Time-Series Operations easily digestible. Particularly enlightening are the sections on Signal Transformations and No-Code Backtest, which offer practical skills applicable to modern trading strategies. This course excels in delivering cutting-edge content. Done and dusted now looking forward to Genetic Programming & AI in QT401!

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5 star rating

So far so good!

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This is the best quant trading course ever! If you keep doing more courses, I'll surely buy them.

This is the best quant trading course ever! If you keep doing more courses, I'll surely buy them.

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Course curriculum

    1. DISCLAIMER

    2. Introducing QT301

    3. Alpha Modelling

    4. Machine Encoding and Recursion

    5. Alpha String Parser

    6. Alpha String Deparsing

    7. Alpha Visualization

    8. Graph Traversal Algorithms

    9. Post-Order No-Code Evaluator

    10. Indexing for Dynamic Data

    11. Behavioural Polymorphism and Union Indexing Implementation

    12. Implementation of Further Primitives

    13. Time-Series Operations

    14. More Time Series Implementations

    15. Signal Transformations and Cross Sectional Operations

    16. Our First No-Code Backtest

    17. Branching and Specialised Logic

    18. Modelling Considerations

    19. Encoding our Alpha Set

    20. Compound Functions and Syntactic Sugar

    21. Computations with Alternative Data

    22. Support Lecture (Common Issues and Bug Fixes) set15

About this course

  • $320.00
  • 22 lessons
  • 6.5 hours of video content
  • PREREQS TO: QT101,QT201
  • PREREQS FOR: QT401