Udemyintermediateen

Building an Investment Trading System in Python

Learn Python trading strategies from a 25-year investment pro. Build your first strategy with practical, simple techniques. Start trading smarter today!

4.9(6)
60students
5h 37m
Certificate
Cordell Tanny, CFA, FRM, FDP
Cordell Tanny, CFA, FRM, FDPFounder & Probability Manipulator

Course Content

Building an Investment Trading System in Python is an intermediate-level Udemy course taught by Cordell Tanny, CFA, FRM, FDP. It runs 5h 37m, is taught in English, and includes a certificate of completion. Learners rate it 4.9 out of 5 from 6 reviews, with 60 students enrolled. It is a paid course, first published April 2025.

Build a Powerful Investment Trading System with Python

Unlock the power of systematic trading! This course provides a practical, hands-on approach to developing your own investment trading system using Python, guided by a 25-year investment veteran who previously managed a $2B CAD portfolio.

  • Real-World Techniques: Learn the exact methods used by professionals, from analyzing financial data to implementing sophisticated trading strategies.
  • Python for Trading: No advanced math or expensive software required! Leverage your basic Python skills and the free Google Colab environment to build and test your strategies.
  • Key Concepts Covered:
    • Financial Data Analysis: Master the process of gathering and interpreting market data.
    • Z-Score Calculation: Understand and apply Z-scores for identifying potential trading opportunities.
    • Volatility Overlay: Incorporate volatility into your trading strategies for enhanced risk management.
    • Backtesting: Run simple backtests using real historical market data to evaluate strategy performance.
  • Performance Evaluation: Develop the skills to assess strategy effectiveness using crucial financial metrics:
    • Sharpe Ratios: Measure risk-adjusted returns.
    • Cumulative Returns: Track the overall growth of your investment.
    • Out-of-Sample Validation: Ensure your strategies perform consistently on unseen data.
  • Practical, Not Theoretical: This course emphasizes doing over just learning theory. You'll work directly with live market data, building strategies you can truly understand and improve.
  • For All Levels: Whether you're an experienced trader looking to automate your ideas, a Python learner seeking a real-world project, or an investor interested in systematic strategies, this course offers a solid foundation.
  • Risk Management: Gain insights into key techniques professional portfolio managers use to effectively manage market risks.
  • Independent Strategy Development: By the end of this course, you'll have the confidence and skills to build, test, and refine your own trading systems independently.

If you're serious about applying Python to real-world investments, this course is your starting point. Enroll now and start building smarter trading strategies!

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