Master Technical Analysis Strategies in Trading

Do you already have a solid grasp of Python and want to monetize and expand your skills?

Have some trading experience and want to dive into algorithmic trading?

Or are you simply curious and eager to explore this topic?

If any of these questions resonate with you, welcome to this course! Don’t worry if you’re new to Python—there’s a concise yet thorough Python crash course included to help you master the necessary basics.

In this course, you’ll learn how to code trading strategies from the ground up. After a quick dive into Python, we’ll focus on building a strategy around one of the most widely-used technical indicators: the RSI. You’ll also discover how to combine multiple strategies to balance risk and reward using portfolio optimization techniques like Sortino optimization, minimum variance, and Mean-Variance Skewness Kurtosis optimization.

Once the strategies are created, we’ll backtest them in Python, analyzing key statistics like the Sortino ratio, drawdowns, and beta. We’ll also take the best algorithm into live trading.

This course covers the tools and techniques used by portfolio managers and professional traders alike, including:

– Implementing live trading

– Importing and analyzing data

– Backtesting strategies

– Understanding stock risks

– Long and short positions

– Essential libraries: Numpy, Pandas, Matplotlib

– The importance of diversification

– Key performance metrics: Sharpe ratio, Sortino ratio, Alpha, Beta

– Portfolio optimization strategies

Why Choose This Course?

This isn’t just a programming or trading course—it’s a blend of both, with a focus on using programming to execute trading strategies. Created by a mathematician and economist with a specialization in Machine Learning for finance, not a data scientist.

You’ll also have access to a free Discord community where you can ask questions and explore our quantitative finance articles.

Plus, the course comes with a 30-day satisfaction guarantee. Don’t miss this chance to deepen your knowledge of algorithmic trading.

Who Should Enroll:

– Anyone interested in learning MT5 live trading with Python

– Finance students

– Finance professionals

– Data science professionals

– Data science students