Courses Overview: The AlgoTrading101 Course Syllabus comprises two primary courses:
- Algorithmic Trading Immersive Course (AT101):
- Delving into the fundamentals of designing, testing, and executing trading strategies.
- Exploring the basics of trading strategy development, including preliminary research, backtesting, optimization, and live execution.
- Examining the pros and cons of algorithmic trading robots.
- Understanding the mathematical expectations of robot performance.
- Emphasizing the importance of data cleanliness and basic data cleaning techniques.
- Introducing programming basics such as variables, conditionals, loops, arrays, and functions.
- Detailing the process of creating and testing robots (e.g., Adeline, Belinda, Clarissa, Desiree, Elizabeth, Faye, and Gwen).
- Exploring strategy development, idea generation, and the evaluation of trading ideas.
- Discussing statistical concepts, including statistical significance, the Law of Large Numbers, and minimum sample size derivation.
- Investigating robustness testing in different market conditions and timeframes.
- Covering advanced topics like order management, position sizing, optimization without curve fitting, and clean coding practices.
- Practical Quantitative Trading with Python Masterclass (PT101):
- Offering a progressive introduction to Python for trading strategies.
- Designing a simple pair trading test strategy.
- Progressing through concepts like cointegration, synthetic assets, bond futures calendar spreads, market making, statistical arbitrage, sentiment analysis, and web API usage.
- Exploring alternative data sources, including credit card and location data.
- Discussing correlation strategies using statistical methods and synthetic assets.
- Delving into sentiment and text analysis through machine learning.
- Utilizing web APIs for data collection and scraping websites for predictive insights.
- Applying sentiment analysis to news articles in different languages.
Both courses provide a comprehensive understanding of algorithmic and quantitative trading, combining theoretical concepts with practical coding exercises.
More courses from this author: AlgoTrading
Course Features
- Lectures 1
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes