What books and courses do you recommend for learning about trading robots?
Learning about trading robots requires both theoretical and practical knowledge. Books and courses are an excellent opportunity to master the basic principles, strategies, and tools for creating and working with robots.
Recommended books:
- “Algorithmic Trading: Winning Strategies and Their Rationale” – Ernest Chan
- A practical guide to creating trading strategies.
- “Python for Data Analysis” – Wes McKinney
- An excellent introduction to data analysis used in trading strategies.
- “Quantitative Trading” – Ernest Chan
- A book about developing and testing trading strategies.
- “Introduction to Machine Learning with Python” – Sebastian Raschka
- For learning machine learning applied in advanced robots.
Recommended courses:
- Algorithmic trading on the QuantConnect platform:
- An introduction to using Python and C# for creating robots.
- Basic MetaTrader course:
- Training in creating simple strategies and robots using the MQL language.
- Algorithmic trading on Coursera:
- Courses from leading universities on creating strategies and data analysis.
Tips:
- Alternate between reading books and taking practical courses to reinforce your knowledge.
- Study materials appropriate for your level (from beginner to advanced).
- Apply the concepts you learn in practice through testing and configuring robots.