AI Basics for Quant Research and Trading Automation

AI Basics for Quant Research and Trading Automation

Learn AI for Quant Research & Trading: Data Pipelines, Backtesting, Risk Analytics, and ChatGPT Integration



Sub Category

  • Investing & Trading

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Objectives

  • Understand the complete quant research workflow from data to execution
  • Build financial data pipelines using Python and real datasets
  • Create features like returns, volatility, and moving averages
  • Perform backtesting and evaluate trading strategies
  • Calculate metrics like CAGR, Sharpe ratio, and drawdown
  • Use ChatGPT to analyze strategies and automate insights
  • Apply sentiment analysis for trading signals
  • Combine AI with quantitative finance for smarter decision-making


Pre Requisites

  1. A stable internet connection
  2. A laptop, desktop, or any other device that is capable of running Python and Jupyter Notebook
  3. Access to ChatGPT


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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