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HangukQuant – Essentials in Quantitative Trading QT-01
Access to QT101,QT201,QT301,QT401 lectures without waiting list or certificate of completion in prerequisites.
Designed for both novices and seasoned market professionals,
the course encapsulates the application of advanced mathematical models to execute trades.
By diving into specific examples, such as stock market fluctuations and commodity price volatility,
students gain firsthand experience in applying theories to real-time trading.
The curriculum delves into critical topics including statistical analysis, predictive modeling,
and backtesting strategies, equipping participants with the skills necessary to thrive
in high-stakes trading environments.
Besides, QT-01 distinguishes itself by integrating case studies that mirror current market conditions,
ensuring learners not only understand the methods but also the reasoning behind their applications.

Essentials in Quantitative Trading QT-01 includes
Here are all the courses that are included in your bundle.
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.
QT201 – Statistical Methods in Quantitative Trading
Learn how to compute performance metrics for your quant strategies,
with p-value hypothesis tests for single strategy and multi strategy systems for strategy validation.
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.
QT401 – Applied Alpha Research and Quantitative Trading
Learn Artificial Intelligence techniques for building Alpha Research factories
with a Genetic Programming overlay.
Applications in data mining and quantitative research.




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