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Principal Quantitative Tools for Systematic Trading

Learn how to engineer quant trading and research development tools. From backtesting equities to option strategies with comprehensive infrastructure, statistical models and hypothesis tests to advanced mathematical parsers that boost trading process.

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Bundle includes

Here are all the courses that are included in your bundle.

  • QT402: Advanced Options Backtesting

    Integrate concepts in QT201, QT301 to QT202 (Options Backtesting) for advanced tools in building trading systems.

    5 Lessons
  • $245.00

    QT202: Quantitative Options Backtesting

    Develop in Python a powerful, vectorised quantitative engine to test out any options strategy, complete with automatic contract selection, rebalancing and delta hedging features.

    16 Lessons
  • QT301: Modern Techniques in Quantitative Trading

    Build a hyper-efficient no-code, first-in-class quantitative research engine for the modern systematic trader. A must for advanced quant devs or evolving quants to take their systematic infra to a new height with elegant alpha modelling techniques.

    (3) 5.0 average rating
    22 Lessons
  • $200.00

    QT201: Statistical Methods in Quantitative Trading

    Learn how to compute performance metrics for your quant strategies, with hypothesis tests for single strategy and multi strategy systems.

    (2) 5.0 average rating
    22 Lessons
  • Free

    QT101: Introductory Lectures in Quantitative Trading

    Learn what constitutes a trading hypothesis, simulate one and write advanced Python code for efficient and extensible testing libraries.

    (9) 5.0 average rating
    26 Lessons
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