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Essentials in Quantitative Trading QT-01 – HangukQuant

Original price was: $900.00.Current price is: $29.00.

It works like a magic!

As a trader, I found this tool useful for spotting market trends and making informed decisions. The real-time data and clear chart patterns help identify potential trade opportunities.

Christina K

Verified Purchase

INSTANT DOWNLOAD!

Original price: $900.00

Our price: $29.00   97% OFF Retail!

Full Course.

 

HangukQuant – Essentials in Quantitative Trading (QT-01)

PRICE: $30 (Original Price: $900)
Note: This course is part of a Group Buy and not available for free to members.

🔍 Course Overview

This comprehensive course series equips aspiring and experienced quantitative traders with the tools, methods, and infrastructure to design, test, and implement data-driven trading strategies. It spans foundational concepts to advanced artificial intelligence applications in Alpha Research.

📚 Course Modules

QT101 – Introductory Lectures in Quantitative Trading

  • Understand what defines a trading hypothesis

  • Simulate trading hypotheses

  • Write advanced Python code for robust and extensible backtesting frameworks

QT201 – Statistical Methods in Quantitative Trading

  • Learn essential performance metrics for quant strategies

  • Conduct p-value hypothesis testing

  • Validate both single and multi-strategy systems with statistical rigor

QT301 – Modern Techniques in Quantitative Trading

  • Construct a hyper-efficient, no-code research engine

  • Master infrastructure for modern systematic trading

  • Discover elegant alpha modeling techniques for institutional-grade systems

QT401 – Applied Alpha Research and Quantitative Trading

  • Apply AI and genetic programming to alpha research

  • Build scalable, intelligent Alpha Research Factories

  • Integrate data mining for deep quantitative insights

🎯 Who Should Enroll?

  • Aspiring quantitative traders

  • Python programmers in finance

  • Systematic traders building research pipelines

  • Advanced quants upgrading trading infrastructure

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