📘 What You’ll Learn

By the end of this course, you will:

• Write clean, efficient Python code with confidence.
• Build your own trading utilities (PnL calculators, trade journals, portfolio trackers).
• Pull and visualise real market data (stocks, futures, forex).
• Code technical indicators (MA, Bollinger, ATR, Stochastics, HV, Z-score).
• Generate and test trading signals on candlestick charts.
• Run backtests with commissions, slippage, and real risk metrics.
• Apply Monte Carlo simulations and Kelly criterion to stress-test strategies.
• Take your first steps into machine learning for trading — train and test models, and compare them to rule-based systems.

🧩 Course Structure

Stage 1 – Python Foundations for Traders

From first script to building real trading utilities (profit calculators, trade journals, portfolio trackers).

Stage 2 – Python for Trading Systems

Data → Indicators → Signals → Backtesting → Risk. Build your first complete trading system using candlestick data.

Stage 3 – Intro to Machine Learning for Trading

Step into the world of ML with simple, practical models — logistic regression, testing vs backtests, and side-by-side comparisons.

📈 Who This Is For

• Traders who want to add coding to their skillset.
• Investors who want to backtest and measure risk like professionals.
• Beginners who want a structured path into Python.
• Experienced traders looking to future-proof with ML and automation.

🖥️ How It Works

Course access: The full course goes live in January 2026. All content updates will automatically unlock in your Payhip account.

• Lifetime access: You keep the course forever and receive every future update free.

• Digital downloads are non-refundable. By purchasing, you agree that all sales are final.
• System requirements: The course has been tested on Windows 10 and Windows 11 with modern browsers (Chrome/Edge/Firefox). While it should also run on other systems, I cannot guarantee compatibility with older or unsupported devices/operating systems. If you are running an outdated PC or software, functionality may be limited.
• Technical responsibility: It is your responsibility to ensure you have a working internet connection, sufficient storage space, and the ability to install Python and related software. I cannot be held responsible if the course does not function due to issues specific to your personal machine.
• Educational purpose only: All strategies, processes, and techniques taught are for educational use. They are not financial advice and carry no guarantee of profitability or success. Trading involves risk.
• Personal responsibility: By enrolling, you accept that results vary between individuals, and you are solely responsible for any trading or investment decisions you make.